1
|
Jordan AB, Rodriguez DS, Bennett JA, Sale K, Gilhooley C. Quantifying air quality co-benefits to industrial decarbonization: the local Air Emissions Tracking Atlas. Front Public Health 2024; 12:1394678. [PMID: 38855452 PMCID: PMC11157687 DOI: 10.3389/fpubh.2024.1394678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Accepted: 05/13/2024] [Indexed: 06/11/2024] Open
Abstract
Introduction Many decarbonization technologies have the added co-benefit of reducing short-lived climate pollutants, such as particulate matter (PM), nitrogen oxides (NOx), and sulfur dioxide (SO2), creating a unique opportunity for identifying strategies that promote both climate change solutions and opportunities for air quality improvement. However, stakeholders and decision-makers may struggle to quantify how these co-benefits will impact public health for the communities most affected by industrial air pollution. Methods To address this problem, the LOCal Air Emissions Tracking Atlas (LOCAETA) fills a data availability and analysis gap by providing estimated air quality benefits from industrial decarbonization options, such as carbon capture and storage (CCS). These co-benefits are calculated using an algorithm that connects disparate datasets that separately report greenhouse gas emissions and other pollutants at U.S. industrial facilities. Results Version 1.0 of LOCAETA displays the estimated primary PM2.5 emission reduction co-benefits from additional pretreatment equipment for CCS on industrial and power facilities across the state of Louisiana, as well as the potential for VOC and NH3 generation. The emission reductions are presented in the tool alongside facility pollutant emissions information and relevant air quality, environmental, demographic, and public health datasets, such as air toxics cancer risk, satellite and in situ pollutant measurements, and population vulnerability metrics. Discussion LOCAETA enables regulators, policymakers, environmental justice communities, and industrial and commercial users to compare and contrast quantifiable public health benefits due to air quality impacts from various climate change mitigation strategies using a free and publicly-available tool. Additional pollutant reductions can be calculated using the same methodology and will be available in future versions of the tool.
Collapse
|
2
|
Karim N, Hod R, Wahab MIA, Ahmad N. Projecting non-communicable diseases attributable to air pollution in the climate change era: a systematic review. BMJ Open 2024; 14:e079826. [PMID: 38719294 PMCID: PMC11086555 DOI: 10.1136/bmjopen-2023-079826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 04/16/2024] [Indexed: 05/12/2024] Open
Abstract
OBJECTIVES Climate change is a major global issue with significant consequences, including effects on air quality and human well-being. This review investigated the projection of non-communicable diseases (NCDs) attributable to air pollution under different climate change scenarios. DESIGN This systematic review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 flow checklist. A population-exposure-outcome framework was established. Population referred to the general global population of all ages, the exposure of interest was air pollution and its projection, and the outcome was the occurrence of NCDs attributable to air pollution and burden of disease (BoD) based on the health indices of mortality, morbidity, disability-adjusted life years, years of life lost and years lived with disability. DATA SOURCES The Web of Science, Ovid MEDLINE and EBSCOhost databases were searched for articles published from 2005 to 2023. ELIGIBILITY CRITERIA FOR SELECTING STUDIES The eligible articles were evaluated using the modified scale of a checklist for assessing the quality of ecological studies. DATA EXTRACTION AND SYNTHESIS Two reviewers searched, screened and selected the included studies independently using standardised methods. The risk of bias was assessed using the modified scale of a checklist for ecological studies. The results were summarised based on the projection of the BoD of NCDs attributable to air pollution. RESULTS This review included 11 studies from various countries. Most studies specifically investigated various air pollutants, specifically particulate matter <2.5 µm (PM2.5), nitrogen oxides and ozone. The studies used coupled-air quality and climate modelling approaches, and mainly projected health effects using the concentration-response function model. The NCDs attributable to air pollution included cardiovascular disease (CVD), respiratory disease, stroke, ischaemic heart disease, coronary heart disease and lower respiratory infections. Notably, the BoD of NCDs attributable to air pollution was projected to decrease in a scenario that promotes reduced air pollution, carbon emissions and land use and sustainable socioeconomics. Contrastingly, the BoD of NCDs was projected to increase in a scenario involving increasing population numbers, social deprivation and an ageing population. CONCLUSION The included studies widely reported increased premature mortality, CVD and respiratory disease attributable to PM2.5. Future NCD projection studies should consider emission and population changes in projecting the BoD of NCDs attributable to air pollution in the climate change era. PROSPERO REGISTRATION NUMBER CRD42023435288.
Collapse
Affiliation(s)
- Norhafizah Karim
- Department of Public Health Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Bandar Tun Razak, Kuala lumpur, Malaysia
| | - Rozita Hod
- Department of Public Health Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Bandar Tun Razak, Kuala lumpur, Malaysia
| | - Muhammad Ikram A Wahab
- Center of Toxicology and Health Risk Studies (CORE), Universiti Kebangsaan Malaysia Fakulti Sains Kesihatan, Kuala Lumpur, Wilayah Persekutuan, Malaysia
| | - Norfazilah Ahmad
- Department of Public Health Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Bandar Tun Razak, Kuala lumpur, Malaysia
| |
Collapse
|
3
|
Amnuaylojaroen T, Parasin N. Pathogenesis of PM 2.5-Related Disorders in Different Age Groups: Children, Adults, and the Elderly. EPIGENOMES 2024; 8:13. [PMID: 38651366 PMCID: PMC11036283 DOI: 10.3390/epigenomes8020013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 02/07/2024] [Accepted: 03/08/2024] [Indexed: 04/25/2024] Open
Abstract
The effects of PM2.5 on human health fluctuate greatly among various age groups, influenced by a range of physiological and immunological reactions. This paper compares the pathogenesis of the disease caused by PM2.5 in people of different ages, focusing on how children, adults, and the elderly are each susceptible to it because of differences in their bodies. Regarding children, exposure to PM2.5 is linked to many negative consequences. These factors consist of inflammation, oxidative stress, and respiratory problems, which might worsen pre-existing conditions and potentially cause neurotoxicity and developmental issues. Epigenetic changes can affect the immune system and make people more likely to get respiratory diseases. On the other hand, exposures during pregnancy can change how the cardiovascular and central nervous systems develop. In adults, the inhalation of PM2.5 is associated with a wide range of health problems. These include respiratory difficulties, reduced pulmonary function, and an increased susceptibility to illnesses such as asthma, chronic obstructive pulmonary disease (COPD), and lung cancer. In addition, exposure to PM2.5 induces systemic inflammation, cardiovascular diseases, insulin resistance, and neurotoxic consequences. Evident disturbances in the immune system and cognitive function demonstrate the broad impact of PM2.5. The elderly population is prone to developing respiratory and cardiovascular difficulties, which worsen their pre-existing health issues and raise the risk of cognitive decline and neurological illnesses. Having additional medical conditions, such as peptic ulcer disease, significantly increases the likelihood of being admitted to hospital.
Collapse
Affiliation(s)
- Teerachai Amnuaylojaroen
- School of Energy and Environment, University of Phayao, Phayao 56000, Thailand
- Atmospheric Pollution and Climate Research Unit, School of Energy and Environment, University of Phayao, Phayao 56000, Thailand
| | - Nichapa Parasin
- School of Allied Health Science, University of Phayao, Phayao 56000, Thailand;
| |
Collapse
|
4
|
Yue H, He C, Huang Q, Zhang D, Shi P, Moallemi EA, Xu F, Yang Y, Qi X, Ma Q, Bryan BA. Substantially reducing global PM 2.5-related deaths under SDG3.9 requires better air pollution control and healthcare. Nat Commun 2024; 15:2729. [PMID: 38548716 PMCID: PMC10978932 DOI: 10.1038/s41467-024-46969-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Accepted: 03/14/2024] [Indexed: 04/01/2024] Open
Abstract
The United Nations' Sustainable Development Goal (SDG) 3.9 calls for a substantial reduction in deaths attributable to PM2.5 pollution (DAPP). However, DAPP projections vary greatly and the likelihood of meeting SDG3.9 depends on complex interactions among environmental, socio-economic, and healthcare parameters. We project potential future trends in global DAPP considering the joint effects of each driver (PM2.5 concentration, death rate of diseases, population size, and age structure) and assess the likelihood of achieving SDG3.9 under the Shared Socioeconomic Pathways (SSPs) as quantified by the Scenario Model Intercomparison Project (ScenarioMIP) framework with simulated PM2.5 concentrations from 11 models. We find that a substantial reduction in DAPP would not be achieved under all but the most optimistic scenario settings. Even the development aligned with the Sustainability scenario (SSP1-2.6), in which DAPP was reduced by 19%, still falls just short of achieving a substantial (≥20%) reduction by 2030. Meeting SDG3.9 calls for additional efforts in air pollution control and healthcare to more aggressively reduce DAPP.
Collapse
Affiliation(s)
- Huanbi Yue
- Key Laboratory of Environmental Change and Natural Disasters of Chinese Ministry of Education, Beijing Normal University, Beijing, China
- School of International Affairs and Public Administration, Ocean University of China, Qingdao, China
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China
| | - Chunyang He
- Key Laboratory of Environmental Change and Natural Disasters of Chinese Ministry of Education, Beijing Normal University, Beijing, China.
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China.
- Academy of Disaster Reduction and Emergency Management, Ministry of Emergency Management & Ministry of Education, Beijing Normal University, Beijing, China.
- Academy of Plateau Science and Sustainability, People's Government of Qinghai Province & Beijing Normal University, Xining, China.
| | - Qingxu Huang
- Key Laboratory of Environmental Change and Natural Disasters of Chinese Ministry of Education, Beijing Normal University, Beijing, China
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China
| | - Da Zhang
- College of Geography and Ocean Sciences, Yanbian University, Yanji, China.
| | - Peijun Shi
- Key Laboratory of Environmental Change and Natural Disasters of Chinese Ministry of Education, Beijing Normal University, Beijing, China
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China
- Academy of Disaster Reduction and Emergency Management, Ministry of Emergency Management & Ministry of Education, Beijing Normal University, Beijing, China
- Academy of Plateau Science and Sustainability, People's Government of Qinghai Province & Beijing Normal University, Xining, China
| | - Enayat A Moallemi
- Commonwealth Scientific and Industrial Research Organization (CSIRO), Melbourne, Victoria, Australia
| | - Fangjin Xu
- Key Laboratory of Environmental Change and Natural Disasters of Chinese Ministry of Education, Beijing Normal University, Beijing, China
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China
- College of Urban and Environmental Sciences, Peking University, Beijing, China
| | - Yang Yang
- School of International Affairs and Public Administration, Ocean University of China, Qingdao, China
- Institute of Marine Development, Ocean University of China, Qingdao, China
| | - Xin Qi
- Frontiers Science Center for Deep Ocean Multispheres and Earth System (FDOMES), Ocean University of China, Qingdao, China
| | - Qun Ma
- School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai, China
| | - Brett A Bryan
- School of Life and Environmental Sciences, Deakin University, Melbourne, Victoria, Australia
| |
Collapse
|
5
|
Xie Y, Zhou Z, Sun Q, Zhao M, Pu J, Li Q, Sun Y, Dai H, Li T. Social-economic transitions and vulnerability to extreme temperature events from 1960 to 2020 in Chinese cities. iScience 2024; 27:109066. [PMID: 38361620 PMCID: PMC10867637 DOI: 10.1016/j.isci.2024.109066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 12/13/2023] [Accepted: 01/25/2024] [Indexed: 02/17/2024] Open
Abstract
Climate change leads to more frequent and intense extreme temperature events, causing a significant number of excess deaths. Using an epidemiological approach, we analyze all-cause deaths related to heatwaves and cold spells in 2,852 Chinese counties from 1960 to 2020. Economic losses associated with these events are determined through the value of statistical life. Findings reveal that cold-related cumulative excess deaths (1,133 thousand) are approximately 2.5 times higher than heat-related deaths, despite an increase in heat-related fatalities in recent decades. Monetized mortality due to heat-related events is estimated at 1,284 billion CNY, while cold-related economic loss is 1,510 billion CNY. Notably, cities located in colder regions experience more heat-related excess deaths, and vice versa. Economic development does not significantly reduce mortality risks to heatwaves across China. This study provides insights into the spatial-temporal heterogeneity of heatwaves and cold spells mortality, essential for policymakers ensuring long-term climate adaptation and sustainability.
Collapse
Affiliation(s)
- Yang Xie
- School of Economics and Management, Beihang University, Beijing, China
| | - Ziqiao Zhou
- College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Qinghua Sun
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Mengdan Zhao
- School of Economics and Management, Beihang University, Beijing, China
| | - Jinlu Pu
- School of Economics and Management, Beihang University, Beijing, China
| | - Qiutong Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yue Sun
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Hancheng Dai
- College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Tiantian Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| |
Collapse
|
6
|
Bian Y, Huang X, Lin S, Han H, Chen J, Lin J, Ye X. PM 2.5 air quality and health gains in the quest for carbon peaking: A case study of Fujian Province, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 915:170161. [PMID: 38232847 DOI: 10.1016/j.scitotenv.2024.170161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 01/07/2024] [Accepted: 01/12/2024] [Indexed: 01/19/2024]
Abstract
China faces a dual challenge of improving air quality and reducing greenhouse gas (GHG) emissions. Stringent clean air actions gradually narrow the end-of-pipe (EOP) pollution control potential. Meanwhile, pursuing carbon peaking will reduce air pollution and health risks. However, the impact on air quality and health gains in individual Chinese provinces has not been assessed with a specific focus on local policies. Here, typical shared socio-economic pathways (SSPs) and local policies (i.e., business as usual, BAU; end-of-pipe controls, EOP; co-control mitigation, CCM) are combined to set three scenarios (i.e., BAU-SSP3, EOP-SSP4, CCM-SSP1). Under these three scenarios, we couple the Low Emissions Analysis Platform (LEAP) model, an air quality model and health risk assessment methodology to evaluate the characteristics of carbon peaking in Fujian Province. PM2.5 air quality and impacts on public health are assessed, using the metric of the deaths attributable to PM2.5 pollution (DAPP). The results show that energy-related CO2 emissions will only peak before 2030 in the CCM-SSP1 scenario. In this context, air pollutant emission pathways reveal that mitigation is limited under the EOP-SSP4 scenario, necessitating further mitigation under the CCM-SSP1 scenario. The annual average PM2.5 level is projected to be 16.5 μg·m-3 in 2035 with a corresponding decrease in DAPP of 297 (95 % confidence intervals: 217-308) compared with that of 2020. Despite the significant improvements in PM2.5 air quality and health gains under the CCM-SSP1 scenario, reaching the 5 μg·m-3 target of the World Health Organization (WHO) remains difficult. Furthermore, population aging will require stronger PM2.5 mitigation to enhance health gains. This study provides a valuable reference for other developing regions to co-control air pollution and GHGs.
Collapse
Affiliation(s)
- Yahui Bian
- Key Lab of Urban Environment and Health, Research Center of Urban Carbon Neutrality, Institute of Urban Environment, Chinese Academy of Sciences, 1799 Jimei Road, Xiamen 361021, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiaobo Huang
- Shenzhen Academy of Environmental Sciences, Shenzhen 518001, China
| | - Shuifa Lin
- Key Lab of Urban Environment and Health, Research Center of Urban Carbon Neutrality, Institute of Urban Environment, Chinese Academy of Sciences, 1799 Jimei Road, Xiamen 361021, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Hui Han
- Key Lab of Urban Environment and Health, Research Center of Urban Carbon Neutrality, Institute of Urban Environment, Chinese Academy of Sciences, 1799 Jimei Road, Xiamen 361021, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jinsheng Chen
- University of Chinese Academy of Sciences, Beijing 100049, China; Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
| | - Jianyi Lin
- Key Lab of Urban Environment and Health, Research Center of Urban Carbon Neutrality, Institute of Urban Environment, Chinese Academy of Sciences, 1799 Jimei Road, Xiamen 361021, China; University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Xinxin Ye
- Key Lab of Urban Environment and Health, Research Center of Urban Carbon Neutrality, Institute of Urban Environment, Chinese Academy of Sciences, 1799 Jimei Road, Xiamen 361021, China; University of Chinese Academy of Sciences, Beijing 100049, China.
| |
Collapse
|
7
|
Cui Q, Jia Z, Liu Y, Wang Y, Li Y. 24-hour average PM2.5 concentration caused by aircraft in Chinese airports from Jan. 2006 to Dec. 2023. Sci Data 2024; 11:284. [PMID: 38461334 PMCID: PMC10925045 DOI: 10.1038/s41597-024-03110-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Accepted: 03/01/2024] [Indexed: 03/11/2024] Open
Abstract
Since 2006, the rapid development of China's aviation industry has been accompanied by a significant increase in one of its emissions, namely, PM2.5, which poses a substantial threat to human health. However, little data is describing the PM2.5 concentration caused by aircraft activities. This study addresses this gap by initially computing the monthly PM2.5 emissions of the landing-take-off (LTO) stage from Jan. 2006 to Dec. 2023 for 175 Chinese airports, employing the modified BFFM2-FOA-FPM method. Subsequently, the study uses the Gaussian diffusion model to measure the 24-hour average PM2.5 concentration resulting from flight activities at each airport. This study mainly draws the following conclusions: Between 2006 and 2023, the highest recorded PM2.5 concentration data at all airports was observed in 2018, reaching 5.7985 micrograms per cubic meter, while the lowest point was recorded in 2022, at 2.0574 micrograms per cubic meter. Moreover, airports with higher emissions are predominantly located in densely populated and economically vibrant regions such as Beijing, Shanghai, Guangzhou, Chengdu, and Shenzhen.
Collapse
Affiliation(s)
- Qiang Cui
- School of Economics and Management, Southeast University, Nanjing, China.
| | - Zike Jia
- School of Economics and Management, Southeast University, Nanjing, China
| | - Yujie Liu
- School of Economics and Management, Southeast University, Nanjing, China
| | - Yu Wang
- School of Economics and Management, Civil Aviation Flight University of China, Guanghan, China.
| | - Ye Li
- School of Business Administration, Nanjing University of Finance and Economics, Nanjing, China.
| |
Collapse
|
8
|
Xie P, Duan Z, Wei T, Pan H. Spatial disparities and sources analysis of co-benefits between air pollution and carbon reduction in China. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 354:120433. [PMID: 38417360 DOI: 10.1016/j.jenvman.2024.120433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 01/30/2024] [Accepted: 02/18/2024] [Indexed: 03/01/2024]
Abstract
Spatial misallocation of resource elements impedes the coordination in regional co-benefit in carbon emission and pollution reduction. Guided by scope economy principles, this study aims to quantifies co-benefits and explores spatial variation patterns to facilitate mutual synergy. The findings offer valuable insights for identifying optimal focus points and shaping targeted collaborative policies. Based on the multi-source provincial panel data spanning 2000 to 2021, this paper quantitatively assesses the co-benefit through the lens of marginal abatement cost. Then, the Dagum Gini coefficient was employed to investigate the disparities at the spatial level. Additionally, geographical detector is introduced to analyze the source of disparities at the factor level. Results indicate: (1) Under joint reduction, the marginal abatement cost reduces by 57.86% and 79.97% respectively, with an overall 68.77% increase in co-benefit fluctuation. (2) Provinces with low co-benefit significantly decreased after 2007, while provinces with high co-benefit concentrated in the northwest, southwest, and east. (3) Overall disparities decreased, east-central regions hold the lowest spatial disparities in co-benefit and east-west hold the most; intragroup differences and supervariable density primarily contributes to the disparity. (4) FDI significantly influence the co-benefit over the past two decades, with spatial disparities influenced by both endogenous and exogenous factors across development stages.
Collapse
Affiliation(s)
- Pin Xie
- School of Business, Guangxi University, Nanning, 530004, China
| | - Zhicheng Duan
- School of Business, Guangxi University, Nanning, 530004, China.
| | - Tie Wei
- School of Business, Guangxi University, Nanning, 530004, China; Guangxi Development Research Strategy Institute, Nanning, 530004, China.
| | - Huaihong Pan
- School of Business, Guangxi University, Nanning, 530004, China
| |
Collapse
|
9
|
Malley CS, Anenberg SC, Shindell DT. Improving consistency in estimating future health burdens from environmental risk factors: Case study for ambient air pollution. ENVIRONMENT INTERNATIONAL 2024; 185:108560. [PMID: 38492497 DOI: 10.1016/j.envint.2024.108560] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/25/2023] [Revised: 03/02/2024] [Accepted: 03/04/2024] [Indexed: 03/18/2024]
Abstract
Future changes in exposure to risk factors should impact mortality rates and population. However, studies commonly use mortality rates and population projections developed exogenously to the health impact assessment model used to quantify future health burdens attributable to environmental risks that are therefore invariant to projected exposure levels. This impacts the robustness of many future health burden estimates for environmental risk factors. This work describes an alternative methodology that more consistently represents the interaction between risk factor exposure, population and mortality rates, using ambient particulate air pollution (PM2.5) as a case study. A demographic model is described that estimates future population based on projected births, mortality and migration. Mortality rates are disaggregated between the fraction due to PM2.5 exposure and other factors for a historic year, and projected independently. Accounting for feedbacks between future risk factor exposure and population and mortality rates can greatly affect estimated future attributable health burdens. The demographic model estimates much larger PM2.5-attributable health burdens with constant 2019 PM2.5 (∼10.8 million deaths in 2050) compared to a model using exogenous population and mortality rate projections (∼7.3 million), largely due to differences in mortality rate projection methods. Demographic model-projected PM2.5-attributable mortality can accumulate substantially over time. For example, ∼71 million more people are estimated to be alive in 2050 when WHO guidelines (5 µg m-3) are achieved compared to constant 2019 PM2.5 concentrations. Accounting for feedbacks is more important in applications with relatively high future PM2.5 concentrations, and relatively large changes in non-PM2.5 mortality rates.
Collapse
Affiliation(s)
| | - Susan C Anenberg
- Department of Environmental and Occupational Health, George Washington University, Washington, DC, United States
| | - Drew T Shindell
- Nicholas School of the Environment, Duke University, Durham, NC, United States
| |
Collapse
|
10
|
Baumgärtner F, Letmathe P. External costs of electricity generation in 27 European countries from 2010-2030: Pathway toward sustainability or business as usual? PLoS One 2024; 19:e0294499. [PMID: 38394264 PMCID: PMC10890767 DOI: 10.1371/journal.pone.0294499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 11/02/2023] [Indexed: 02/25/2024] Open
Abstract
Electricity generation in Europe is undergoing a fundamental change. The aim is to increase sustainability by reducing emissions. Each country has a different electricity mix, and there is no established method for measuring environmental impacts of electricity production with a single monetary indicator, in a uniform manner, and with country-specific data. To address this gap, a model that measures the costs of 19 environmental externalities (usually, types of emissions) has been developed. Using country-specific technologies, electricity mixes, and external cost rates, the development of external costs of generating electricity in 27 European countries between 2010 and 2030 is assessed and analyzed. The simulation results show that the external costs vary heavily between 2.1 and 22.4 euro cents per kWh in this period. Despite the initiated transformation of the energy systems in many EU countries, external costs per kWh are decreasing in only eight of them. This fact underlines the need for a drastic change in national energy strategies. Overall, the results show that more far-reaching policy measures are needed in order to significantly reduce the external costs of the energy sector in Europe. The article raises the level of granularity of research on the external costs of electricity in Europe by combining extensive country-specific emission data and country-specific external cost rates.
Collapse
Affiliation(s)
- Frank Baumgärtner
- School of Business and Economics, RWTH Aachen University, Aachen, Germany
| | - Peter Letmathe
- School of Business and Economics, RWTH Aachen University, Aachen, Germany
| |
Collapse
|
11
|
Wang X, Su X, Feng Y. Trading our way to a greener future: how environmental rights trading reduces urban carbon emissions in China-empirical analysis based on China's emission rights trading. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:15671-15688. [PMID: 38300495 DOI: 10.1007/s11356-024-31999-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 01/09/2024] [Indexed: 02/02/2024]
Abstract
Environmental rights trading (ERT) is considered one of the crucial instruments for environmental governance in China, accelerating urban low-carbon sustainable development. This study utilized the Chinese Emissions Trading System (ETS), which has been implemented most widely, longest, and most typical, to represent ERT and examine its contribution to urban carbon emission reduction. Through a quasi-natural experiment perspective, urban panel data were collected from 2003 to 2019, and a time-varying difference-in-differences model and moderating models were developed. The study indicates that ERT can significantly reduce carbon emissions in cities, with robust results. In addition, the carbon reduction effect of ERT varies by city region, type, and size. This phenomenon is more obvious in central and western cities and resource-based cities. Finally, a framework to strengthen the carbon reduction effect of ERT was creatively constructed. The strengthening effects of green innovation, industrial structure, and clean energy are evident. This helps provide evidence for ERT layout and extension, especially in countries with high carbon reduction needs such as China. ERT affects not only policymakers but also a greener future for every organization and individual in the city.
Collapse
Affiliation(s)
- Xu Wang
- School of Economics and Management, Jiangsu University of Science and Technology, Zhenjiang, 212000, Jiangsu, China
| | - Xiang Su
- School of Economics and Management, Jiangsu University of Science and Technology, Zhenjiang, 212000, Jiangsu, China.
| | - Yu Feng
- School of Economics and Management, Jiangsu University of Science and Technology, Zhenjiang, 212000, Jiangsu, China
- School of Humanities and Social Sciences, Jiangsu University of Science and Technology, Zhenjiang, 212000, Jiangsu, China
| |
Collapse
|
12
|
Sparks MS, Farahbakhsh I, Anand M, Bauch CT, Conlon KC, East JD, Li T, Lickley M, Garcia-Menendez F, Monier E, Saari RK. Health and equity implications of individual adaptation to air pollution in a changing climate. Proc Natl Acad Sci U S A 2024; 121:e2215685121. [PMID: 38227646 PMCID: PMC10835109 DOI: 10.1073/pnas.2215685121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 11/05/2023] [Indexed: 01/18/2024] Open
Abstract
Future climate change can cause more days with poor air quality. This could trigger more alerts telling people to stay inside to protect themselves, with potential consequences for health and health equity. Here, we study the change in US air quality alerts over this century due to fine particulate matter (PM2.5), who they may affect, and how they may respond. We find air quality alerts increase by over 1 mo per year in the eastern United States by 2100 and quadruple on average. They predominantly affect areas with high Black populations and leakier homes, exacerbating existing inequalities and impacting those less able to adapt. Reducing emissions can offer significant annual health benefits ($5,400 per person) by mitigating the effect of climate change on air pollution and its associated risks of early death. Relying on people to adapt, instead, would require them to stay inside, with doors and windows closed, for an extra 142 d per year, at an average cost of $11,000 per person. It appears likelier, however, that people will achieve minimal protection without policy to increase adaptation rates. Boosting adaptation can offer net benefits, even alongside deep emission cuts. New adaptation policies could, for example: reduce adaptation costs; reduce infiltration and improve indoor air quality; increase awareness of alerts and adaptation; and provide measures for those working or living outdoors. Reducing emissions, conversely, lowers everyone's need to adapt, and protects those who cannot adapt. Equitably protecting human health from air pollution under climate change requires both mitigation and adaptation.
Collapse
Affiliation(s)
- Matt S. Sparks
- Department of Civil and Environmental Engineering, University of Waterloo, Waterloo, ONN2L 3G1, Canada
| | - Isaiah Farahbakhsh
- School of Environmental Sciences, University of Guelph, Waterloo, ONN1G 2W1, Canada
| | - Madhur Anand
- School of Environmental Sciences, University of Guelph, Waterloo, ONN1G 2W1, Canada
| | - Chris T. Bauch
- Department of Applied Mathematics, University of Waterloo, Waterloo, ONN2L 3G, Canada
| | - Kathryn C. Conlon
- School of Medicine, Department of Public Health Sciences, University of California, Davis, CA95616
- School of Veterinary Medicine, Department of Medicine and Epidemiology, University of California, Davis, CA95616
| | - James D. East
- Department of Civil, Construction, and Environmental Engineering, North Carolina State University, Raleigh, NC27695
| | - Tianyuan Li
- Department of Civil and Environmental Engineering, University of Waterloo, Waterloo, ONN2L 3G1, Canada
| | - Megan Lickley
- Department of Earth, Atmospheric, and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, MA02139N
| | - Fernando Garcia-Menendez
- Department of Civil, Construction, and Environmental Engineering, North Carolina State University, Raleigh, NC27695
| | - Erwan Monier
- Department of Land, Air and Water Resources, University of California, Davis, CA95616
| | - Rebecca K. Saari
- Department of Civil and Environmental Engineering, University of Waterloo, Waterloo, ONN2L 3G1, Canada
| |
Collapse
|
13
|
Zhao Y, Bai Z, Liu L, Fan X, Ma L. Impacts of subsidy for export of pig to domestic market on the spatial distribution of pig production and related nitrogen losses in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 907:167990. [PMID: 37898195 DOI: 10.1016/j.scitotenv.2023.167990] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 10/19/2023] [Accepted: 10/19/2023] [Indexed: 10/30/2023]
Abstract
The uneven distribution of pig production may create pollution hotspots and severe environmental costs at the local level; however, there is little information available about the socioeconomic driving forces behind the spatial distribution of pig production and its potential environmental costs. Here, we collected time series data (1990, 2012 and 2017) of pig production and multiple socioeconomic indicators from 2333 counties in China to remedy this knowledge gap. Our results indicate that, the poverty level, pork self-sufficiency rate, feed availability per head and environmental pollution risk were all played negligible roles in determining the spatial distribution of pig production at the county level in China between 1990 and 2017. The spatial distribution of pig production was more impacted by the so-called subsidy policy for export of pig to domestic market (hereinafter called pig subsidy policy), which aimed to subsidize counties exporting large amounts of pigs to other counties. In 2017, approximately 181 million head of pig was exported to domestic market from subsidized counties, and these counties received a subsidy amount of US$ 450 million. However, the total environmental cost, considering the human health, ecosystem and climate change damages of nitrogen losses of the pigs exported to domestic market, was US$ 4.5 billion, 10 times of the subsidy. If all the subsidies were fully designated to reduce ammonia emissions from the industrial pig production, the total cost could be reduced by US$ 1.6 billion; however, this was not enough to cover all the damage. Overall, the spatial distribution of pig production was strongly impacted by the pig subsidy policy in China. Applying $400 million of pig subsidy to ammonia emissions reduction could reduce external environmental costs by 31 % and deliver $1.3 billion in socioeconomic benefits. The total subsidy needs to be increased and used smartly in the future to reduce nitrogen losses from the production chain.
Collapse
Affiliation(s)
- Yue Zhao
- Key Laboratory of Agricultural Water Resources, Hebei Key Laboratory of Soil Ecology, Center for Agricultural Resources Research, Institute of Genetic and Developmental Biology, Chinese Academy of Sciences, 286 Huaizhong Road, Shijiazhuang 050021, Hebei, China; University of Chinese Academy of Science, 19 A Yuquan Road, Shijingshan District, Beijing 100049, China
| | - Zhaohai Bai
- Key Laboratory of Agricultural Water Resources, Hebei Key Laboratory of Soil Ecology, Center for Agricultural Resources Research, Institute of Genetic and Developmental Biology, Chinese Academy of Sciences, 286 Huaizhong Road, Shijiazhuang 050021, Hebei, China.
| | - Ling Liu
- Key Laboratory of Agricultural Water Resources, Hebei Key Laboratory of Soil Ecology, Center for Agricultural Resources Research, Institute of Genetic and Developmental Biology, Chinese Academy of Sciences, 286 Huaizhong Road, Shijiazhuang 050021, Hebei, China
| | - Xiangwen Fan
- Key Laboratory of Agricultural Water Resources, Hebei Key Laboratory of Soil Ecology, Center for Agricultural Resources Research, Institute of Genetic and Developmental Biology, Chinese Academy of Sciences, 286 Huaizhong Road, Shijiazhuang 050021, Hebei, China
| | - Lin Ma
- Key Laboratory of Agricultural Water Resources, Hebei Key Laboratory of Soil Ecology, Center for Agricultural Resources Research, Institute of Genetic and Developmental Biology, Chinese Academy of Sciences, 286 Huaizhong Road, Shijiazhuang 050021, Hebei, China
| |
Collapse
|
14
|
Deng O, Wang S, Ran J, Huang S, Zhang X, Duan J, Zhang L, Xia Y, Reis S, Xu J, Xu J, de Vries W, Sutton MA, Gu B. Managing urban development could halve nitrogen pollution in China. Nat Commun 2024; 15:401. [PMID: 38195574 PMCID: PMC10776873 DOI: 10.1038/s41467-023-44685-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 12/29/2023] [Indexed: 01/11/2024] Open
Abstract
Halving nitrogen pollution is crucial for achieving Sustainable Development Goals (SDGs). However, how to reduce nitrogen pollution from multiple sources remains challenging. Here we show that reactive nitrogen (Nr) pollution could be roughly halved by managed urban development in China by 2050, with NH3, NOx and N2O atmospheric emissions declining by 44%, 30% and 33%, respectively, and Nr to water bodies by 53%. While rural-urban migration increases point-source nitrogen emissions in metropolitan areas, it promotes large-scale farming, reducing rural sewage and agricultural non-point-source pollution, potentially improving national air and water quality. An investment of approximately US$ 61 billion in waste treatment, land consolidation, and livestock relocation yields an overall benefit of US$ 245 billion. This underscores the feasibility and cost-effectiveness of halving Nr pollution through urbanization, contributing significantly to SDG1 (No poverty), SDG2 (Zero hunger), SDG6 (Clean water), SDG12 (Responsible consumption and production), SDG14 (Climate Action), and so on.
Collapse
Affiliation(s)
- Ouping Deng
- College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, 310058, China
- College of Resources, Sichuan Agricultural University, Chengdu, 611130, China
| | - Sitong Wang
- College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, 310058, China
- Policy Simulation Laboratory, Zhejiang University, Hangzhou, 310058, China
| | - Jiangyou Ran
- College of Resources, Sichuan Agricultural University, Chengdu, 611130, China
| | - Shuai Huang
- College of Resources, Sichuan Agricultural University, Chengdu, 611130, China
| | - Xiuming Zhang
- College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Jiakun Duan
- College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Lin Zhang
- Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, 100871, China
| | - Yongqiu Xia
- Key Laboratory of Soil and Sustainable Agriculture, Changshu National Agr-Ecosystem Observation and Research Station, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China
| | - Stefan Reis
- Unit for Environment and Sustainability at the German Aerospace Centre's Project Funding Agency, DLR Projekttraeger, Bonn, 53227, Germany
| | - Jiayu Xu
- Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, 100871, China
| | - Jianming Xu
- College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, 310058, China
- Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment, Zhejiang University, Hangzhou, 310058, China
| | - Wim de Vries
- Environmental Systems Analysis Group, Wageningen University & Research, Wageningen, 91016700HB, The Netherlands
| | - Mark A Sutton
- UK Centre for Ecology & Hydrology, Bush Estate, Penicuik, Midlothian, EH260QB, UK
| | - Baojing Gu
- College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, 310058, China.
- Policy Simulation Laboratory, Zhejiang University, Hangzhou, 310058, China.
- Ministry of Education Key Laboratory of Environment Remediation and Ecological Health, Zhejiang University, Hangzhou, 310058, China.
| |
Collapse
|
15
|
Abdallah C, Lauvaux T, Lian J, Bréon FM, Ramonet M, Laurent O, Ciais P, Denier van der Gon HAC, Dellaert S, Perrussel O, Baudic A, Utard H, Gros V. A Gradient-Descent Optimization of CO 2-CO-NO x Emissions over the Paris Megacity─The Case of the First SARS-CoV-2 Lockdown. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:302-314. [PMID: 38114451 DOI: 10.1021/acs.est.3c00566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/21/2023]
Abstract
Urban greenhouse gas emissions monitoring is essential to assessing the impact of climate mitigation actions. Using atmospheric continuous measurements of air quality and carbon dioxide (CO2), we developed a gradient-descent optimization system to estimate emissions of the city of Paris. We evaluated our joint CO2-CO-NOx optimization over the first SARS-CoV-2 related lockdown period, resulting in a decrease in emissions by 40% for NOx and 30% for CO2, in agreement with preliminary estimates using bottom-up activity data yet lower than the decrease estimates from Bayesian atmospheric inversions (50%). Before evaluating the model, we first provide an in-depth analysis of three emission data sets. A general agreement in the totals is observed over the region surrounding Paris (known as Île-de-France) since all the data sets are constrained by the reported national and regional totals. However, the data sets show disagreements in their sector distributions as well as in the interspecies ratios. The seasonality also shows disagreements among emission products related to nonindustrial stationary combustion (residential and tertiary combustion). The results presented in this paper show that a multispecies approach has the potential to provide sectoral information to monitor CO2 emissions over urban areas enabled by the deployment of collocated atmospheric greenhouse gases and air quality monitoring stations.
Collapse
Affiliation(s)
- Charbel Abdallah
- Laboratoire des Sciences du Climat et de l'Environnement, LSCE, UMR CNRS-CEA-UVSQ, IPSL, Gif-sur-Yvette, 91191 Île-de-France, France
- Groupe de Spectrométrie Moléculaire et Atmosphérique GSMA, Université de Reims-Champagne Ardenne, UMR CNRS 7331, Moulin de la Housse, BP 1039, 51687 Reims 2, France
| | - Thomas Lauvaux
- Laboratoire des Sciences du Climat et de l'Environnement, LSCE, UMR CNRS-CEA-UVSQ, IPSL, Gif-sur-Yvette, 91191 Île-de-France, France
- Groupe de Spectrométrie Moléculaire et Atmosphérique GSMA, Université de Reims-Champagne Ardenne, UMR CNRS 7331, Moulin de la Housse, BP 1039, 51687 Reims 2, France
| | - Jinghui Lian
- Laboratoire des Sciences du Climat et de l'Environnement, LSCE, UMR CNRS-CEA-UVSQ, IPSL, Gif-sur-Yvette, 91191 Île-de-France, France
- Origins.earth, Suez Group, Tour CB21, 16 Place de l'Iris, 92040 Paris La Défense Cedex 6, France
| | - François-Marie Bréon
- Laboratoire des Sciences du Climat et de l'Environnement, LSCE, UMR CNRS-CEA-UVSQ, IPSL, Gif-sur-Yvette, 91191 Île-de-France, France
| | - Michel Ramonet
- Laboratoire des Sciences du Climat et de l'Environnement, LSCE, UMR CNRS-CEA-UVSQ, IPSL, Gif-sur-Yvette, 91191 Île-de-France, France
| | - Olivier Laurent
- Laboratoire des Sciences du Climat et de l'Environnement, LSCE, UMR CNRS-CEA-UVSQ, IPSL, Gif-sur-Yvette, 91191 Île-de-France, France
| | - Philippe Ciais
- Laboratoire des Sciences du Climat et de l'Environnement, LSCE, UMR CNRS-CEA-UVSQ, IPSL, Gif-sur-Yvette, 91191 Île-de-France, France
| | | | - Stijn Dellaert
- Department of Climate, Air and Sustainability, TNO, P.O. Box 80015, 3508 TA Utrecht, The Netherlands
| | - Olivier Perrussel
- Association de Surveillance de la Qualité de l'Air en Île-de-France (AIRPARIF), 75004 Paris, France
| | - Alexia Baudic
- Association de Surveillance de la Qualité de l'Air en Île-de-France (AIRPARIF), 75004 Paris, France
| | - Hervé Utard
- Origins.earth, Suez Group, Tour CB21, 16 Place de l'Iris, 92040 Paris La Défense Cedex 6, France
| | - Valérie Gros
- Laboratoire des Sciences du Climat et de l'Environnement, LSCE, UMR CNRS-CEA-UVSQ, IPSL, Gif-sur-Yvette, 91191 Île-de-France, France
| |
Collapse
|
16
|
Qi P, Lang J, Qi H, Wang X. Emissions leakage embodied in inter-provincial trade brings unexpected air quality and health benefits. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 905:167085. [PMID: 37716684 DOI: 10.1016/j.scitotenv.2023.167085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Revised: 08/22/2023] [Accepted: 09/13/2023] [Indexed: 09/18/2023]
Abstract
Inter-provincial trade can bring "emission leakage", and consequently influence the air quality and public health. However, there has been a lack of systematic research on air pollution and public health related to emission leakage embodied in inter-provincial trade of China. Here, we systematically evaluated for the first time the influence of emission leakage on national air pollution and related premature deaths in 2012 of China. Unexpected opposite influences of emission leakage on emission and air quality/public health were discovered. Emission leakage embodied in inter-provincial trade in 2012 of China led to an increase of 1.4 % to 4.8 % in national air pollutant emissions, but a decrease of 1.5 % (-0.8 μg·m-3) in population-weighted concentration of PM2.5, while avoiding 1.1 % (-1.4 × 104 people) of premature deaths. Therefore, to reveal the intrinsic mechanism of this opposite influences, we proposed two coefficients, the Concentration per unit primary PM2.5 emission (CPE, unit: μg·m-3/t) and the Death per unit primary PM2.5 emission (DPE, unit: people/t), to characterize the response of air quality and health to emission leakage embodied in inter-provincial trade. Statistical analysis indicated that both the above coefficients showed significant negative correlation (P < 0.05) with provincial PM2.5 emissions changes. The findings offer a means of adjustment and its related evaluation parameters for the emission transfer caused by inter-provincial trade, thereby contributing to further improvement environmental and health benefits through inter-provincial trade.
Collapse
Affiliation(s)
- Peng Qi
- Key Laboratory of Beijing on Regional Air Pollution Control, Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China
| | - Jianlei Lang
- Key Laboratory of Beijing on Regional Air Pollution Control, Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China.
| | - Haoyun Qi
- Key Laboratory of Beijing on Regional Air Pollution Control, Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China
| | - Xiaoqi Wang
- Key Laboratory of Beijing on Regional Air Pollution Control, Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, China
| |
Collapse
|
17
|
Zhong J, Hodgson JR, James Bloss W, Shi Z. Impacts of net zero policies on air quality in a metropolitan area of the United Kingdom: Towards world health organization air quality guidelines. ENVIRONMENTAL RESEARCH 2023; 236:116704. [PMID: 37481053 DOI: 10.1016/j.envres.2023.116704] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Revised: 07/11/2023] [Accepted: 07/18/2023] [Indexed: 07/24/2023]
Abstract
Climate change and air pollution are closely interlinked since carbon dioxide and air pollutants are co-emitted from fossil fuel combustion. Net Zero (NZ) policies aiming to reduce carbon emissions will likely bring co-benefits in air quality and associated health. However, it is unknown whether regional NZ policies alone will be sufficient to reduce air pollutant levels to meet the latest 2021 World Health Organisation (WHO) guidelines. Here, we carried out high resolution air quality modelling for in the West Midlands region, a typical metropolitan area in the UK, to quantify the effects of different NZ policies on air quality. Results show that NZ policies will significantly improve air quality in the West Midlands, with up to 6 μg m-3 (21%) reduction in annual mean NO2 (mostly through the electrification of vehicle fleet, EV) and up to 1.4 μg m-3 (12%) reduction in annual mean PM2.5 projected for 2030 relative to levels under a "business as usual" (BAU) scenario. Under BAU, 2030 PM2.5 concentrations in most wards would be below 10 μg m-3 whilst under the Net Zero scenario, those in all wards would be below 10 μg m-3. This means that the ward averages in the West Midlands would meet the UK PM2.5 of 10 μg m-3target a decade early under the Net Zero scenario. However, no ward-level-averaged annual mean PM2.concentrations meet the 2021 WHO Air Quality guideline level of 5 μg m-3 under any scenario. Similarly for NO2 only 18 wards (8% of the region's population) are predicted to have NO2 concentrations below the 2021 WHO guideline level (10 μg m-3). Decarbonisation policies linked to Net Zero deliver substantial regional air quality benefits, but are not in isolation sufficient to deliver clean air with air pollutant levels low enough to meet the 2021 WHO guidelines.
Collapse
Affiliation(s)
- Jian Zhong
- School of Geography, Earth & Environmental Sciences, the University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.
| | - James Robert Hodgson
- School of Geography, Earth & Environmental Sciences, the University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
| | - William James Bloss
- School of Geography, Earth & Environmental Sciences, the University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
| | - Zongbo Shi
- School of Geography, Earth & Environmental Sciences, the University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
| |
Collapse
|
18
|
Lampard P, Premji S, Adamson J, Bojke L, Glerum-Brooks K, Golder S, Graham H, Jankovic D, Zeuner D. Priorities for research to support local authority action on health and climate change: a study in England. BMC Public Health 2023; 23:1965. [PMID: 37817134 PMCID: PMC10566048 DOI: 10.1186/s12889-023-16717-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 09/07/2023] [Indexed: 10/12/2023] Open
Abstract
BACKGROUND Evidence is needed to support local action to reduce the adverse health impacts of climate change and maximise the health co-benefits of climate action. Focused on England, the study identifies priority areas for research to inform local decision making. METHODS Firstly, potential priority areas for research were identified from a brief review of UK policy documents, and feedback invited from public and policy stakeholders. This included a survey of Directors of Public Health (DsPH) in England, the local government officers responsible for public health. Secondly, rapid reviews of research evidence examined whether there was UK evidence relating to the priorities identified in the survey. RESULTS The brief policy review pointed to the importance of evidence in two broad areas: (i) community engagement in local level action on the health impacts of climate change and (ii) the economic (cost) implications of such action. The DsPH survey (n = 57) confirmed these priorities. With respect to community engagement, public understanding of climate change's health impacts and the public acceptability of local climate actions were identified as key evidence gaps. With respect to economic implications, the gaps related to evidence on the health and non-health-related costs and benefits of climate action and the short, medium and longer-term budgetary implications of such action, particularly with respect to investments in the built environment. Across both areas, the need for evidence relating to impacts across income groups was highlighted, a point also emphasised by the public involvement panel. The rapid reviews confirmed these evidence gaps (relating to public understanding, public acceptability, economic evaluation and social inequalities). In addition, public and policy stakeholders pointed to other barriers to action, including financial pressures, noting that better evidence is insufficient to enable effective local action. CONCLUSIONS There is limited evidence to inform health-centred local action on climate change. More evidence is required on public perspectives on, and the economic dimensions of, local climate action. Investment in locally focused research is urgently needed if local governments are to develop and implement evidence-based policies to protect public health from climate change and maximise the health co-benefits of local action.
Collapse
|
19
|
Zhang D, Wang Q, Song S, Chen S, Li M, Shen L, Zheng S, Cai B, Wang S, Zheng H. Machine learning approaches reveal highly heterogeneous air quality co-benefits of the energy transition. iScience 2023; 26:107652. [PMID: 37680462 PMCID: PMC10480617 DOI: 10.1016/j.isci.2023.107652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 01/18/2023] [Accepted: 08/14/2023] [Indexed: 09/09/2023] Open
Abstract
Estimating health benefits of reducing fossil fuel use from improved air quality provides important rationales for carbon emissions abatement. Simulating pollution concentration is a crucial step of the estimation, but traditional approaches often rely on complicated chemical transport models that require extensive expertise and computational resources. In this study, we develop a machine learning framework that is able to provide precise and robust annual average fine particle (PM2.5) concentration estimations directly from a high-resolution fossil energy use dataset. Applications of the framework with Chinese data reveal highly heterogeneous health benefits of avoiding premature mortality by reducing fossil fuel use in different sectors and regions in China with a mean of $19/tCO2 and a standard deviation of $38/tCO2. Reducing rural and residential coal use offers the highest co-benefits with a mean of $151/tCO2. Our findings prompt careful policy designs to maximize cost-effectiveness in the transition toward a carbon-neutral energy system.
Collapse
Affiliation(s)
- Da Zhang
- Institute of Energy, Economy, and Environment, Tsinghua University, Beijing, China
- Joint Program on the Science and Policy of Global Change, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Qingyi Wang
- Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Shaojie Song
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control & Tianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
- CMA-NKU Cooperative Laboratory for Atmospheric Environment Health Research, Tianjin 300350, China
- Harvard-China on Energy, Economy, and Environment, Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA
| | - Simiao Chen
- Heidelberg Institute of Global Health, Faculty of Medicine and University Hospital, Heidelberg University, Heidelberg, Germany
- Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Mingwei Li
- Institute of Energy, Economy, and Environment, Tsinghua University, Beijing, China
- Center for Policy Research on Energy and the Environment, Princeton University, Princeton, NJ, USA
| | - Lu Shen
- Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, China
| | - Siqi Zheng
- Department of Urban Studies and Planning, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Bofeng Cai
- Center for Carbon Neutrality, Chinese Academy of Environmental Planning, Beijing, China
| | - Shenhao Wang
- Department of Urban Studies and Planning, Massachusetts Institute of Technology, Cambridge, MA, USA
- Media Lab, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Haotian Zheng
- CMA-NKU Cooperative Laboratory for Atmospheric Environment Health Research, Tianjin 300350, China
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China
- State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing, China
| |
Collapse
|
20
|
O'Regan AC, Nyhan MM. Towards sustainable and net-zero cities: A review of environmental modelling and monitoring tools for optimizing emissions reduction strategies for improved air quality in urban areas. ENVIRONMENTAL RESEARCH 2023; 231:116242. [PMID: 37244499 DOI: 10.1016/j.envres.2023.116242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 04/20/2023] [Accepted: 05/25/2023] [Indexed: 05/29/2023]
Abstract
Climate change is a defining challenge for today's society and its consequences pose a great threat to humanity. Cities are major contributors to climate change, accounting for over 70% of global greenhouse gas emissions. With urbanization occurring at a rapid rate worldwide, cities will play a key role in mitigating emissions and addressing climate change. Greenhouse gas emissions are strongly interlinked with air quality as they share emission sources. Consequently, there is a great opportunity to develop policies which maximize the co-benefits of emissions reductions on air quality and health. As such, a narrative meta-review is conducted to highlight state-of-the-art monitoring and modelling tools which can inform and monitor progress towards greenhouse gas emission and air pollution reduction targets. Urban greenspace will play an important role in the transition to net-zero as it promotes sustainable and active transport modes. Therefore, we explore advancements in urban greenspace quantification methods which can aid strategic developments. There is great potential to harness technological advancements to better understand the impact of greenhouse gas reduction strategies on air quality and subsequently inform the optimal design of these strategies going forward. An integrated approach to greenhouse gas emission and air pollution reduction will create sustainable, net-zero and healthy future cities.
Collapse
Affiliation(s)
- Anna C O'Regan
- Discipline of Civil, Structural & Environmental Engineering, School of Engineering & Architecture, University College Cork, Cork, Ireland; MaREI, The SFI Research Centre for Energy, Climate & Marine, University College Cork, Ringaskiddy, Cork, P43 C573, Ireland; Environmental Research Institute, University College Cork, Lee Rd, Sunday's Well, Cork, T23 XE10, Ireland
| | - Marguerite M Nyhan
- Discipline of Civil, Structural & Environmental Engineering, School of Engineering & Architecture, University College Cork, Cork, Ireland; MaREI, The SFI Research Centre for Energy, Climate & Marine, University College Cork, Ringaskiddy, Cork, P43 C573, Ireland; Environmental Research Institute, University College Cork, Lee Rd, Sunday's Well, Cork, T23 XE10, Ireland.
| |
Collapse
|
21
|
Turnock ST, Reddington CL, West JJ, O’Connor FM. The Air Pollution Human Health Burden in Different Future Scenarios That Involve the Mitigation of Near-Term Climate Forcers, Climate and Land-Use. GEOHEALTH 2023; 7:e2023GH000812. [PMID: 37593109 PMCID: PMC10427835 DOI: 10.1029/2023gh000812] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 07/19/2023] [Accepted: 07/28/2023] [Indexed: 08/19/2023]
Abstract
Elevated surface concentrations of ozone and fine particulate matter (PM2.5) can lead to poor air quality and detrimental impacts on human health. These pollutants are also termed Near-Term Climate Forcers (NTCFs) as they can also influence the Earth's radiative balance on timescales shorter than long-lived greenhouse gases. Here we use the Earth system model, UKESM1, to simulate the change in surface ozone and PM2.5 concentrations from different NTCF mitigation scenarios, conducted as part of the Aerosol and Chemistry Model Intercomparison Project (AerChemMIP). These are then combined with relative risk estimates and projected changes in population demographics, to estimate the mortality burden attributable to long-term exposure to ambient air pollution. Scenarios that involve the strong mitigation of air pollutant emissions yield large future benefits to human health (25%), particularly across Asia for black carbon (7%), when compared to the future reference pathway. However, if anthropogenic emissions follow the reference pathway, then impacts to human health worsen over South Asia in the short term (11%) and across Africa (20%) in the longer term. Future climate change impacts on air pollutants can offset some of the health benefits achieved by emission mitigation measures over Europe for PM2.5 and East Asia for ozone. In addition, differences in the future chemical environment over regions are important considerations for mitigation measures to achieve the largest benefit to human health. Future policy measures to mitigate climate warming need to also consider the impact on air quality and human health across different regions to achieve the maximum co-benefits.
Collapse
Affiliation(s)
- Steven T. Turnock
- Met Office Hadley CentreExeterUK
- University of Leeds Met Office Strategic (LUMOS) Research GroupUniversity of LeedsLeedsUK
| | - Carly L. Reddington
- Institute of Climate and Atmospheric Science (ICAS)School of Earth and EnvironmentUniversity of LeedsLeedsUK
| | - J. Jason West
- Department of Environmental Sciences and EngineeringUniversity of North Carolina at Chapel HillChapel HillNCUSA
| | - Fiona M. O’Connor
- Met Office Hadley CentreExeterUK
- Department of Mathematics and StatisticsGlobal Systems InstituteUniversity of ExeterExeterUK
| |
Collapse
|
22
|
Oliveira NCD, Balikian Júnior P, Júnior ATDC, Bento EDS, Tonholo J, Aquino T, Sousa FADB, Araujo GGD, Ferreira ML. Environmental Planning and Non-Communicable Diseases: A Systematic Review on the Role of the Metabolomic Profile. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:6433. [PMID: 37510665 PMCID: PMC10380082 DOI: 10.3390/ijerph20146433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 07/17/2023] [Accepted: 07/21/2023] [Indexed: 07/30/2023]
Abstract
Non-communicable diseases (NCDs) are the major cause of death worldwide and have economic, psychological, and social impacts. Air pollution is the second, contributing to NCDs-related deaths. Metabolomics are a useful diagnostic and prognostic tool for NCDs, as they allow the identification of biomarkers linked to emerging pathologic processes. The aim of the present study was to review the scientific literature on the application of metabolomics profiling in NCDs and to discuss environmental planning actions to assist healthcare systems and public managers based on early metabolic diagnosis. The search was conducted following PRISMA guidelines using Web of Science, Scopus, and PubMed databases with the following MeSH terms: "metabolomics" AND "noncommunicable diseases" AND "air pollution". Twenty-nine studies were eligible. Eleven involved NCDs prevention, eight addressed diabetes mellitus, insulin resistance, systemic arterial hypertension, or metabolic syndrome. Six studies focused on obesity, two evaluated nonalcoholic fatty liver disease, two studied cancer, and none addressed chronic respiratory diseases. The studies provided insights into the biological pathways associated with NCDs. Understanding the cost of delivering care where there will be a critical increase in NCDs prevalence is crucial to achieving universal health coverage and improving population health by allocating environmental planning and treatment resources.
Collapse
Affiliation(s)
| | - Pedro Balikian Júnior
- Institute of Physical Education and Sport (IEFE), Federal University of Alagoas, Campus AC Simões, Maceió 57072-900, AL, Brazil
| | - Arnaldo Tenório da Cunha Júnior
- Kineanthropometry, Physical Activity and Health Promotion Laboratory (LACAPS), Physical Education Department, Federal University of Alagoas, Campus Arapiraca, Arapiraca 57309-005, AL, Brazil
| | - Edson de Souza Bento
- Institute of Chemistry and Biotechnology (IQB), Federal University of Alagoas, Campus AC Simões, Maceió 57072-900, AL, Brazil
| | - Josealdo Tonholo
- Institute of Chemistry and Biotechnology (IQB), Federal University of Alagoas, Campus AC Simões, Maceió 57072-900, AL, Brazil
| | - Thiago Aquino
- Institute of Chemistry and Biotechnology (IQB), Federal University of Alagoas, Campus AC Simões, Maceió 57072-900, AL, Brazil
| | - Filipe Antonio de Barros Sousa
- Institute of Physical Education and Sport (IEFE), Federal University of Alagoas, Campus AC Simões, Maceió 57072-900, AL, Brazil
| | - Gustavo Gomes de Araujo
- Institute of Physical Education and Sport (IEFE), Federal University of Alagoas, Campus AC Simões, Maceió 57072-900, AL, Brazil
| | - Maurício Lamano Ferreira
- Department of Geoenvironmental Analysis, Guarulhos University, Central Campus, Guarulhos 07023-070, SP, Brazil
| |
Collapse
|
23
|
Sheng X, Chisadza C, Gupta R, Pierdzioch C. Climate shocks and wealth inequality in the UK: evidence from monthly data. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:77771-77783. [PMID: 37258805 PMCID: PMC10300172 DOI: 10.1007/s11356-023-27342-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 04/26/2023] [Indexed: 06/02/2023]
Abstract
This paper investigates both the linear and nonlinear effects of climate risk shocks on wealth inequality in the UK using the local projections (LPs) method, based on high-frequency, i.e., monthly data. The linear results show that climate risk shocks lead to an increase in wealth inequality in the longer term. The nonlinear results present some evidence of heterogeneous responses of wealth inequality to climate risk variable shocks between high- and low-climate risk regimes. The findings highlight the disproportionate increased burden of climate change on households that are already experiencing poverty, particularly households in high-climate risk areas. As such, measures to mitigate the adverse effects of climate change need to be tailored so as not to overburden the poor.
Collapse
Affiliation(s)
- Xin Sheng
- Lord Ashcroft International Business School, Anglia Ruskin University, Chelmsford, UK
| | - Carolyn Chisadza
- Department of Economics, University of Pretoria, Private Bag X20, Hatfield, 0028 South Africa
| | - Rangan Gupta
- Department of Economics, University of Pretoria, Private Bag X20, Hatfield, 0028 South Africa
| | - Christian Pierdzioch
- Department of Economics, Helmut Schmidt University, Holstenhofweg 85, P.O.B. 700822, 22008 Hamburg, Germany
| |
Collapse
|
24
|
Lin X, Yang R, Zhang W, Zeng N, Zhao Y, Wang G, Li T, Cai Q. An integrated view of correlated emissions of greenhouse gases and air pollutants in China. CARBON BALANCE AND MANAGEMENT 2023; 18:9. [PMID: 37208447 DOI: 10.1186/s13021-023-00229-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Accepted: 05/03/2023] [Indexed: 05/21/2023]
Abstract
BACKGROUND Air pollution in China has raised great concerns due to its adverse effects on air quality, human health, and climate. Emissions of air pollutants (APs) are inherently linked with CO2 emissions through fossil-energy consumption. Knowledge of the characteristics of APs and CO2 emissions and their relationships is fundamentally important in the pursuit of co-benefits in addressing air quality and climate issues in China. However, the linkages and interactions between APs and CO2 in China are not well understood. RESULTS Here, we conducted an ensemble study of six bottom-up inventories to identify the underlying drivers of APs and CO2 emissions growth and to explore their linkages in China. The results showed that, during 1980-2015, the power and industry sectors contributed 61-79% to China's overall emissions of CO2, NOx, and SO2. In addition, the residential and industrial sectors were large emitters (77-85%) of PM10, PM2.5, CO, BC, and OC. The emissions of CH4, N2O and NH3 were dominated by the agriculture sector (46-82%) during 1980-2015, while the share of CH4 emissions in the energy sector increased since 2010. During 1980-2015, APs and greenhouse gases (GHGs) emissions from residential sources generally decreased over time, while the transportation sector increased its impact on recent emissions, particularly for NOx and NMVOC. Since implementation of stringent pollution control measures and accompanying technological improvements in 2013, China has effectively limited pollution emissions (e.g., growth rates of -10% per year for PM and -20% for SO2) and slowed down the increasing trend of carbon emissions from the power and industrial sectors. We also found that areas with high emissions of CO, NOx, NMVOC, and SO2 also emitted large amounts of CO2, which demonstrates the possible common sources of APs and GHGs. Moreover, we found significant correlations between CO2 and APs (e.g., NOx, CO, SO2, and PM) emissions in the top 5% high-emitting grid cells, with more than 60% common grid cells during 2010-2015. CONCLUSIONS We found significant correlation in spatial and temporal aspects for CO2, and NOx, CO, SO2, and PM emissions in China. We targeted sectorial and spatial APs and GHGs emission hot-spots, which help for management and policy-making of collaborative reductions of them. This comprehensive analysis over 6 datasets improves our understanding of APs and GHGs emissions in China during the period of rapid industrialization from 1980 to 2015. This study helps elucidate the linkages between APs and CO2 from an integrated perspective, and provides insights for future synergistic emissions reduction.
Collapse
Affiliation(s)
- Xiaohui Lin
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
| | - Ruqi Yang
- State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
| | - Wen Zhang
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China.
| | - Ning Zeng
- Department of Atmospheric and Oceanic Science, and Earth System Science Interdisciplinary Center, University of Maryland, College Park, Maryland, USA
| | - Yu Zhao
- State Key Laboratory of Pollution Control & Resource Reuse and School of the Environment, Nanjing University, 163 Xianlin Ave, Nanjing, Jiangsu, China
| | - Guocheng Wang
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
| | - Tingting Li
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
- Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, Guangdong, China
| | - Qixiang Cai
- State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China.
| |
Collapse
|
25
|
Liu LJ, Liang QM, Shuai YX. Common Driving Forces of Provincial-Level Greenhouse Gas and Air Pollutant Emissions in China. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:5806-5820. [PMID: 36996132 DOI: 10.1021/acs.est.2c09309] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
By developing a filtering framework and a sector-level multi-regional input-output structural decomposition model, this study identifies key common emission sources, motivation sources, and inter-provincial emission flows of both GHGs and air pollutants and reveals the key driving forces of changes in different emissions from 2012 to 2017. Results show that key common emission sources are electricity sector, non-metallic mineral products, and smelting and processing of metals in Shandong and Hebei. However, key common motivation sources are the construction sectors in Guangdong, Henan, Jiangsu, Zhejiang, and Shandong. The key inflow regions include Guangdong and Zhejiang and key outflow regions include Jiangsu and Hebei. The emission reductions are attributed to the emission intensity effect of the construction sector; contrastingly, the emission increase is from the investment scale of the construction sector. Here, Jiangsu could be a key target for future emission reduction because of its high absolute emissions and low past reduction. The scale of investment in construction might be a significant factor in reducing emissions in Shandong and Guangdong. Henan and Zhejiang could concentrate on sound new building planning and resource recycling.
Collapse
Affiliation(s)
- Li-Jing Liu
- Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing 100081, China
- School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China
- Beijing Key Laboratory of Energy Economics and Environmental Management, Beijing 100081, China
| | - Qiao-Mei Liang
- Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing 100081, China
- School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China
- Beijing Key Laboratory of Energy Economics and Environmental Management, Beijing 100081, China
| | - Ye-Xin Shuai
- Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing 100081, China
- School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China
| |
Collapse
|
26
|
NORI‐SARMA AMRUTA, WELLENIUS GREGORYA. Human Health and Well-being in a Warming World. Milbank Q 2023; 101:99-118. [PMID: 37096613 PMCID: PMC10126986 DOI: 10.1111/1468-0009.12608] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 11/01/2022] [Accepted: 01/06/2023] [Indexed: 04/26/2023] Open
Abstract
Policy Points After decades of scientific progress and growth in academic literature, there is a recognition that climate change poses a substantial threat to the health and well-being of individuals and communities both in the United States and globally. Solutions to mitigate and adapt to climate change can have important health cobenefits. A vital component of these policy solutions is that they must also take into consideration historic issues of environmental justice and racism, and implementation of these policies must have a strong equity lens.
Collapse
|
27
|
Yin CX, Gu YF, Zhao GL. Effects of shared governance and cost redistribution on air pollution control: a study of game theory-based cooperation. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:49180-49196. [PMID: 36773258 PMCID: PMC9918827 DOI: 10.1007/s11356-023-25713-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Accepted: 01/31/2023] [Indexed: 04/16/2023]
Abstract
This study seeks cost-effective strategies for PM2.5 reduction to generate insights into minimizing pollution abatement costs subject to different scenarios. This study theorizes that the cooperation of PM2.5 abatement has potential gains for participants and develop an empirical way to compare the costs and efficiency of PM2.5 abatement involving the variation of environmental conditions. This study revises the cooperative game model in the context of threshold effects using data obtained from the Beijing-Tianjin-Hebei metropolitan cluster in China. In general, the results support the key assertion that cooperation in the metropolitan cluster plays a vital role in optimizing the efficiency and costs of PM2.5 abatement. In addition to extending the application of the revised model, this study provides a way to estimate the costs and the mitigation benefits of meeting the pollution targets for each coparticipant and take the scenario of multiparty cooperation into account as well as the scenarios involving other types of pollutants. The empirical findings have important policy implications for regional shared governance, decentralization, and resource reallocation. Economic incentive-based shared governance and cost reallocation work better than traditional regulations.
Collapse
Affiliation(s)
- Chen-Xi Yin
- Chinese Academy of Finance and Development, Central University of Finance and Economics, Beijing, 100081, China
| | - Yi-Fan Gu
- Institute of Circular Economy, Beijing University of Technology, Beijing, 100124, China
| | - Guo-Long Zhao
- School of Labor and Human Resources, Renmin University of China, Beijing, 100872, China.
| |
Collapse
|
28
|
Brean J, Rowell A, Beddows DCS, Shi Z, Harrison RM. Estimates of Future New Particle Formation under Different Emission Scenarios in Beijing. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:4741-4750. [PMID: 36930743 PMCID: PMC10061929 DOI: 10.1021/acs.est.2c08348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 03/06/2023] [Accepted: 03/06/2023] [Indexed: 06/18/2023]
Abstract
New particle formation (NPF) is a leading source of particulate matter by number and a contributor to particle mass during haze events. Reductions in emissions of air pollutants, many of which are NPF precursors, are expected in the move toward carbon neutrality or net-zero. Expected changes to pollutant emissions are used to investigate future changes to NPF processes, in comparison to a simulation of current conditions. The projected changes to SO2 emissions are key in changing future NPF number, with different scenarios producing either a doubling or near total reduction in sulfuric acid-amine particle formation rates. Particle growth rates are projected to change little in all but the strictest emission control scenarios. These changes will reduce the particle mass arising by NPF substantially, thus showing a further cobenefit of net-zero policies. Major uncertainties remain in future NPF including the volatility of oxygenated organic molecules resulting from changes to NOx and amine emissions.
Collapse
Affiliation(s)
- James Brean
- School
of Geography, Earth & Environmental
Sciences University of Birmingham, Birmingham B15 2TT, United Kingdom
| | - Alex Rowell
- School
of Geography, Earth & Environmental
Sciences University of Birmingham, Birmingham B15 2TT, United Kingdom
| | - David C. S. Beddows
- School
of Geography, Earth & Environmental
Sciences University of Birmingham, Birmingham B15 2TT, United Kingdom
| | - Zongbo Shi
- School
of Geography, Earth & Environmental
Sciences University of Birmingham, Birmingham B15 2TT, United Kingdom
| | - Roy M. Harrison
- School
of Geography, Earth & Environmental
Sciences University of Birmingham, Birmingham B15 2TT, United Kingdom
- Department
of Environmental Sciences, Faculty of Meteorology, Environment and
Arid Land Agriculture, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| |
Collapse
|
29
|
Miyazaki K, Bowman K. Predictability of fossil fuel CO 2 from air quality emissions. Nat Commun 2023; 14:1604. [PMID: 36959192 PMCID: PMC10034258 DOI: 10.1038/s41467-023-37264-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 03/06/2023] [Indexed: 03/25/2023] Open
Abstract
Quantifying the coevolution of greenhouse gases and air quality pollutants can provide insight into underlying anthropogenic processes enabling predictions of their emission trajectories. Here, we classify the dynamics of historic emissions in terms of a modified Environmental Kuznets Curve (MEKC), which postulates the coevolution of fossil fuel CO2 (FFCO2) and NOx emissions as a function of macroeconomic development. The MEKC broadly captures the historic FFCO2-NOx dynamical regimes for countries including the US, China, and India as well as IPCC scenarios. Given these dynamics, we find the predictive skill of FFCO2 given NOx emissions constrained by satellite data is less than 2% error at one-year lags for many countries and less than 10% for 4-year lags. The proposed framework in conjunction with an increasing satellite constellation provides valuable guidance to near-term emission scenario development and evaluation at time-scales relevant to international assessments such as the Global Stocktake.
Collapse
Affiliation(s)
- Kazuyuki Miyazaki
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA.
| | - Kevin Bowman
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
| |
Collapse
|
30
|
Jiao A, Sun Y, Sacks DA, Avila C, Chiu V, Molitor J, Chen JC, Sanders KT, Abatzoglou JT, Slezak J, Benmarhnia T, Getahun D, Wu J. The role of extreme heat exposure on premature rupture of membranes in Southern California: A study from a large pregnancy cohort. ENVIRONMENT INTERNATIONAL 2023; 173:107824. [PMID: 36809710 PMCID: PMC10917632 DOI: 10.1016/j.envint.2023.107824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 01/21/2023] [Accepted: 02/12/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Significant mortality and morbidity in pregnant women and their offspring are linked to premature rupture of membranes (PROM). Epidemiological evidence for heat-related PROM risk is extremely limited. We investigated associations between acute heatwave exposure and spontaneous PROM. METHODS We conducted this retrospective cohort study among mothers in Kaiser Permanente Southern California who experienced membrane ruptures during the warm season (May-September) from 2008 to 2018. Twelve definitions of heatwaves with different cut-off percentiles (75th, 90th, 95th, and 98th) and durations (≥ 2, 3, and 4 consecutive days) were developed using the daily maximum heat index, which incorporates both daily maximum temperature and minimum relative humidity in the last gestational week. Cox proportional hazards models were fitted separately for spontaneous PROM, term PROM (TPROM), and preterm PROM (PPROM) with zip codes as the random effect and gestational week as the temporal unit. Effect modification by air pollution (i.e., PM2.5 and NO2), climate adaptation measures (i.e., green space and air conditioning [AC] penetration), sociodemographic factors, and smoking behavior was examined. RESULTS In total, we included 190,767 subjects with 16,490 (8.6%) spontaneous PROMs. We identified a 9-14% increase in PROM risks associated with less intense heatwaves. Similar patterns as PROM were found for TPROM and PPROM. The heat-related PROM risks were greater among mothers exposed to a higher level of PM2.5 during pregnancy, under 25 years old, with lower education and household income level, and who smoked. Even though climate adaptation factors were not statistically significant effect modifiers, mothers living with lower green space or lower AC penetration were at consistently higher heat-related PROM risks compared to their counterparts. CONCLUSION Using a rich and high-quality clinical database, we detected harmful heat exposure for spontaneous PROM in preterm and term deliveries. Some subgroups with specific characteristics were more susceptible to heat-related PROM risk.
Collapse
Affiliation(s)
- Anqi Jiao
- Department of Environmental and Occupational Health, Program in Public Health, University of California, Irvine, CA, USA
| | - Yi Sun
- Department of Environmental and Occupational Health, Program in Public Health, University of California, Irvine, CA, USA; Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - David A Sacks
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA; Department of Obstetrics and Gynecology, University of Southern California, Keck School of Medicine, Los Angeles, CA, USA
| | - Chantal Avila
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Vicki Chiu
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - John Molitor
- College of Public Health and Human Sciences, Oregon State University, Corvallis, OR 97331, USA
| | - Jiu-Chiuan Chen
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA 90033, USA
| | - Kelly T Sanders
- Department of Civil and Environmental Engineering, University of Southern California, CA, USA
| | | | - Jeff Slezak
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Tarik Benmarhnia
- Scripps Institution of Oceanography, University of California, San Diego, 9500 Gilman Drive #0725, CA La Jolla 92093, USA
| | - Darios Getahun
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA; Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA, USA.
| | - Jun Wu
- Department of Environmental and Occupational Health, Program in Public Health, University of California, Irvine, CA, USA.
| |
Collapse
|
31
|
Mueller N, Westerby M, Nieuwenhuijsen M. Health impact assessments of shipping and port-sourced air pollution on a global scale: A scoping literature review. ENVIRONMENTAL RESEARCH 2023; 216:114460. [PMID: 36191619 DOI: 10.1016/j.envres.2022.114460] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 09/24/2022] [Accepted: 09/26/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Globalisation has led to international trade expand rapidly. Seaborne transport moves 80% of traded goods across the globe, producing around 3% of greenhouse gases and other hazardous pollutants, such as PM, NOx and SOx, known to be harmful to health. METHODS A scoping literature review was conducted reviewing peer-reviewed studies on health impact assessments (HIA) of global shipping and port-sourced air pollution. For review inclusion, studies had to (1) use a HIA methodology; (2) quantify the air pollution concentration attributable to at least one shipping or port activity scenario; (3) assess at least one health outcome (i.e. epidemiological measure or monetization); (4) quantify the attributable health burden of the respective scenario. RESULTS Thirty-two studies were included, studying predominantly European Sea shipping/ port-sourced emissions with health impacts for global or respective European populations. Also, Global, Asian, North American and Australian Sea shipping/ port-sourced emissions were studied, with attributable health impacts for global or respective populations. The health outcome predominantly studied was mortality (all-cause, cause-specific, loss in life expectancy, years of life lost (YLLs)), but also morbidity (disease cases, hospital admissions, years lived with disability (YLDs)), disability-adjusted life-years (DALYs), restricted activity days and work loss days. The highest air pollution concentrations were identified along major shipping routes and ports, and the strongest health impacts occurred among respective riparian populations. Globally, ∼265,000 premature deaths were projected for 2020 (∼0.5% of global mortality) attributable to global shipping-sourced emissions. Emission control scenarios studied were predominantly sulphur fuel content caps and NOx emission reduction scenarios, consisting of technological interventions, cleaner fuels or fuel switches, and were assessed as effective in reducing shipping-sourced emissions, and hence, health burdens. CONCLUSIONS Our review positions maritime transport an important source of air pollution and health risk factor, which needs more research and policy attention and rigorous emission control efforts, as shipping-sourced emissions are projected to increase with increases in global trade and shipping volumes.
Collapse
Affiliation(s)
- Natalie Mueller
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
| | | | - Mark Nieuwenhuijsen
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| |
Collapse
|
32
|
Jin S, Wang W, Ostic D, Zhang C, Lu N, Wang D, Ni W. Air quality and health benefits of increasing carbon mitigation tech-innovation in China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:6786-6804. [PMID: 36006537 DOI: 10.1007/s11356-022-22602-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 08/15/2022] [Indexed: 06/15/2023]
Abstract
Most studies on the short-term local benefits of carbon mitigation technologies on air quality improvement and health focus on specific technologies such as biofuels or carbon sequestration technologies, while ignoring the overall role of the growing scale of low-carbon technologies. Based on STIRPAT model and EKC hypothesis, this paper takes 30 provinces in China from 2004 to 2016 as research samples. We builded the panel double fixed effect model to empirical analysis of climate change on carbon mitigation tech-innovation suppressing the influence of haze pollution, on this basis, the mediating effect model was used to explore the mediation function of industrial structure and energy structure. Meanwhile, we drawed on the existing studies on air quality and health benefits, and quantify the co-benefits of carbon mitigation tech-innovation on health through the equivalent substitution formula. It shows that a 1% increase in the number of low-carbon patent applications can reduce haze pollution by 0.066%. According to this estimate, to 2029, China's carbon mitigation tech-innovation could reduce PM2.5 concentration to 15 μg/m3 preventing 5.597 million premature deaths. Moreover, carbon mitigation tech-innovation can also indirectly inhibit haze pollution by triggering more systematic economic structure changes such as energy and industrial structure. Additionally, we found that the role of gray tech-innovation (GT) related to improving the efficiency of fossil energy is stronger than that of clean technology (CT) related to the use of renewable energy. This suggests that for a large economy such as China, where coal is still the dominant source of energy consumption, the short-term local benefits of improving air quality and health through the use of gray tech-innovation to improve energy and industrial structure are still important to balance the cost of carbon mitigation.
Collapse
Affiliation(s)
- Shunlin Jin
- School of Finance and Economics, Jiangsu University, Zhenjiang, China
| | - Weidong Wang
- School of Finance and Economics, Jiangsu University, Zhenjiang, China.
| | - Dragana Ostic
- School of Finance and Economics, Jiangsu University, Zhenjiang, China
| | - Caijing Zhang
- College of Public Administration, Nanjing Agricultural University, Nanjing, China
| | - Na Lu
- School of Finance and Economics, Jiangsu University, Zhenjiang, China
| | - Dong Wang
- School of Finance and Economics, Jiangsu University, Zhenjiang, China
| | - Wenli Ni
- School of Finance and Economics, Jiangsu University, Zhenjiang, China
| |
Collapse
|
33
|
Chen W, Tang H, He L, Zhang Y, Ma W. Co-effect assessment on regional air quality: A perspective of policies and measures with greenhouse gas reduction potential. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 851:158119. [PMID: 35987248 DOI: 10.1016/j.scitotenv.2022.158119] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 07/29/2022] [Accepted: 08/15/2022] [Indexed: 06/15/2023]
Abstract
Clean air policies have achieved remarkable air quality improvement in China for the last decade. However, as more importance was attached to climate issues and further improvement of air quality, policies with greenhouse gas (GHG) reduction potential were supposed to play a significant role. Here, we designed a conventional legislation pathway scenario (CLP) and an enhanced greenhouse gas reduction scenario (EGR), to estimate the co-effects of policies effective in GHG reduction on air pollutant control and air quality improvement in the Yangtze River Delta (YRD) region from 2014 to 2020, adopting a measure-specific evaluation method and an integrated WRF-CAMx model simulation. Results showed that: 1) With the implementation of enhanced measures with GHG reduction potential, emissions of SO2, NOx, PM2.5, PM10, VOCs and NH3 decreased by 16.4 %, 21.6 %, 18.6 %, 16.5 %, 23.9 % and 15.4 % in EGR scenario respectively, compared with CLP scenario. And the annual mean simulated concentrations of PM2.5, SO2 and NO2 of the YRD decreased by 11.2 %, 15.4 % and 20.6 %, respectively. 2) The average 8-h maxima (MDA8) concentration of O3 presented a slightly increasing trend under the impacts of measures with GHG reduction potential, which might be on account of the unbalanced control of NOx and VOCs, the two major precursors of O3. 3) Based on the source apportionment analysis, major partition of total ozone in the four receptors in YRD was from regional transportation, rather than local formation. And the major sectors contributing to ozone were industry and transportation sector. This study quantitatively assessed the co-benefits of GHG-control-effective policies and specific measures on air quality improvement, which would help to provide implications for future policy-making to achieve air pollution and climate change co-control.
Collapse
Affiliation(s)
- Wanqi Chen
- Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China; Shanghai Key Laboratory of Atmospheric Particle Pollution Prevention (LAP3), Shanghai 200433, China
| | - Haoyue Tang
- Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China; Shanghai Key Laboratory of Atmospheric Particle Pollution Prevention (LAP3), Shanghai 200433, China
| | - Li He
- Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China; Shanghai Key Laboratory of Atmospheric Particle Pollution Prevention (LAP3), Shanghai 200433, China
| | - Yan Zhang
- Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China; Shanghai Key Laboratory of Atmospheric Particle Pollution Prevention (LAP3), Shanghai 200433, China; Institute of Eco-Chongming (IEC), No. 3663 Northern Zhongshan Road, Shanghai 200062, China
| | - Weichun Ma
- Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China; Shanghai Key Laboratory of Atmospheric Particle Pollution Prevention (LAP3), Shanghai 200433, China; Institute of Eco-Chongming (IEC), No. 3663 Northern Zhongshan Road, Shanghai 200062, China; Shanghai Key Laboratory of Policy Simulation and Assessment for Ecology and Environment Governance, Shanghai 200433, China.
| |
Collapse
|
34
|
Wu PI, Liou JL, Huang TK. Evaluation of Benefits and Health Co-Benefits of GHG Reduction for Taiwan's Industrial Sector under a Carbon Charge in 2023-2030. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:15385. [PMID: 36430107 PMCID: PMC9690492 DOI: 10.3390/ijerph192215385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Revised: 11/18/2022] [Accepted: 11/18/2022] [Indexed: 06/16/2023]
Abstract
The purpose of this paper is to evaluate the monetary GHG reduction benefits and health co-benefits for the industrial sector under the imposition of a carbon charge in Taiwan. The evaluation proceeds from 2023-2030 for different rates of carbon charge for the GHGs by a model of "Taiwan Economic Input Output Life Cycle Assessment and Environmental Value" constructed in this study. It is innovative in the literature to simulate the benefits of GHG reductions and health co-benefits of air pollutions for the industrial sector under the imposition of a carbon charge comprehensively. The results consistently show benefits whether the charge is imposed on the scope 1 and scope 2 GHG emissions or on the scope 1 emissions only. The health co-benefits are on average about 5 times those of GHG reductions benefits in 2023-2030. The average total benefits with the summation of GHG reduction benefits and health co-benefits are 821.9 million US dollars and 975.1 US million US dollars per year, respectively. However, both the GHG reduction benefits and health co-benefits are consistently increasing at a decreasing rate in 2023-2030. The increased multiple for the rate of the carbon charge is higher than the increased multiple of the total benefits and this result shows that the increase of the carbon charge becomes less effective.
Collapse
Affiliation(s)
- Pei-Ing Wu
- Department of Agricultural Economics, National Taiwan University, Taipei 106319, Taiwan
| | - Je-Liang Liou
- The Center for Green Economy, Chung-Hua Institution for Economic Research, Taipei 106220, Taiwan
| | - Ta-Ken Huang
- Department of Water Resources and Environmental Engineering, Tamkang University, New Taipei City 251301, Taiwan
| |
Collapse
|
35
|
Bistline JET, Blanford G, Grant J, Knipping E, McCollum DL, Nopmongcol U, Scarth H, Shah T, Yarwood G. Economy-wide evaluation of CO 2 and air quality impacts of electrification in the United States. Nat Commun 2022; 13:6693. [PMID: 36335099 PMCID: PMC9637153 DOI: 10.1038/s41467-022-33902-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Accepted: 10/07/2022] [Indexed: 11/06/2022] Open
Abstract
Adopting electric end-use technologies instead of fossil-fueled alternatives, known as electrification, is an important economy-wide decarbonization strategy that also reduces criteria pollutant emissions and improves air quality. In this study, we evaluate CO2 and air quality co-benefits of electrification scenarios by linking a detailed energy systems model and a full-form photochemical air quality model in the United States. We find that electrification can substantially lower CO2 and improve air quality and that decarbonization policy can amplify these trends, which yield immediate and localized benefits. In particular, transport electrification can improve ozone and fine particulate matter (PM2.5), though the magnitude of changes varies regionally. However, growing activity from non-energy-related PM2.5 sources-such as fugitive dust and agricultural emissions-can offset electrification benefits, suggesting that additional measures beyond CO2 policy and electrification are needed to meet air quality goals. We illustrate how commonly used marginal emissions approaches systematically underestimate reductions from electrification.
Collapse
Affiliation(s)
- John E. T. Bistline
- grid.418781.30000 0001 2359 3628Electric Power Research Institute, 3420 Hillview Avenue, Palo Alto, CA 94304 USA
| | - Geoffrey Blanford
- grid.418781.30000 0001 2359 3628Electric Power Research Institute, 3420 Hillview Avenue, Palo Alto, CA 94304 USA
| | - John Grant
- Ramboll, 7250 Redwood Blvd., Suite 105, Novato, CA 94945 USA
| | - Eladio Knipping
- grid.418781.30000 0001 2359 3628Electric Power Research Institute, 3420 Hillview Avenue, Palo Alto, CA 94304 USA
| | - David L. McCollum
- grid.135519.a0000 0004 0446 2659Oak Ridge National Laboratory, 2360 Cherahala Blvd, Knoxville, TN 37932 USA
| | | | - Heidi Scarth
- grid.418781.30000 0001 2359 3628Electric Power Research Institute, 3420 Hillview Avenue, Palo Alto, CA 94304 USA
| | - Tejas Shah
- Ramboll, 7250 Redwood Blvd., Suite 105, Novato, CA 94945 USA
| | - Greg Yarwood
- Ramboll, 7250 Redwood Blvd., Suite 105, Novato, CA 94945 USA
| |
Collapse
|
36
|
Hornsey MJ, Lewandowsky S. A toolkit for understanding and addressing climate scepticism. Nat Hum Behav 2022; 6:1454-1464. [PMID: 36385174 PMCID: PMC7615336 DOI: 10.1038/s41562-022-01463-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 09/20/2022] [Indexed: 11/17/2022]
Abstract
Despite over 50 years of messaging about the reality of human-caused climate change, substantial portions of the population remain sceptical. Furthermore, many sceptics remain unmoved by standard science communication strategies, such as myth busting and evidence building. To understand this, we examine psychological and structural reasons why climate change misinformation is prevalent. First, we review research on motivated reasoning: how interpretations of climate science are shaped by vested interests and ideologies. Second, we examine climate scepticism as a form of political followership. Third, we examine infrastructures of disinformation: the funding, lobbying and political operatives that lend climate scepticism its power. Guiding this Review are two principles: (1) to understand scepticism, one must account for the interplay between individual psychologies and structural forces; and (2) global data are required to understand this global problem. In the spirit of optimism, we finish by describing six strategies for reducing the destructive influence of climate scepticism.
Collapse
Affiliation(s)
- Matthew J Hornsey
- UQ Business School, University of Queensland, Brisbane, Queensland, Australia.
| | - Stephan Lewandowsky
- School of Psychological Science, University of Bristol, Bristol, UK
- School of Psychological Sciences, University of Western Australia, Perth, Western Australia, Australia
| |
Collapse
|
37
|
Collins TW, Grineski SE, Shaker Y, Mullen CJ. Communities of color are disproportionately exposed to long-term and short-term PM 2.5 in metropolitan America. ENVIRONMENTAL RESEARCH 2022; 214:114038. [PMID: 35961542 DOI: 10.1016/j.envres.2022.114038] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 08/01/2022] [Accepted: 08/02/2022] [Indexed: 06/15/2023]
Abstract
We conducted a novel investigation of neighborhood-level racial/ethnic exposure disparities employing measures aligned with long-term and short-term PM2.5 air pollution benchmarks across metropolitan contexts of the contiguous United States, 2012-2016. We used multivariable generalized estimating equations (GEE) to quantify PM2.5 exposure disparities based on the census tract composition of people of color (POC) and POC groups (Hispanic/Latina/x/o, Black, Asian). We examined eight census tract-level measures of longer-to-shorter term exposures derived from data on modeled daily ambient PM2.5 concentrations. We found associations between increased POC composition and greater exposure to all PM2.5 measures, with associations strengthening across measures of longer-to-shorter term exposures. In a GEE with a negative binomial distribution, a standard deviation increase in POC composition predicted a 0.6% increase (incidence rate ratio (IRR): 1.006, 95% confidence interval (CI): 1.005-1.008) in the number of days PM2.5 concentrations were ≥5 μg/m3 (longest-term benchmark). In a GEE with an inverse Gaussian distribution, a standard deviation increase in POC composition predicted a 0.110 μg/m3 (1.0%) increase (B: 0.110, 95% CI: 0.076-0.143) in mean PM2.5 concentration. In GEEs with a negative binomial distribution, the effect of a standard deviation increase in POC composition on exposure strengthened to 2.6% (IRR:1.026, 95% CI:1.017-1.035), 3.4% (IRR:1.034, 95% CI:1.022-1.047), 4.2% (IRR:1.042, 95% CI:1.025-1.058), 16.2% (IRR:1.162, 95% CI:1.117-1.210), 22.7% (IRR:1.227, 95% CI:1.137-1.325) and 28.3% (IRR:1.283, 95% CI:1.144-1.439) with respect to the number of days PM2.5 concentrations were ≥10, 12, 15, 25, 35 and 55.5 μg/m3. POC group models indicated exposure disparities based on greater Hispanic/Latina/x/o, Asian, and Black composition. Evidence for stronger POC associations with shorter-term (higher concentration) PM2.5 exceedances suggests that reducing PM2.5 would attenuate racial/ethnic exposure disparities.
Collapse
Affiliation(s)
- Timothy W Collins
- Department of Geography, University of Utah; 260 Central Campus Dr., Rm. 4625, Salt Lake City, UT, 84112, USA; Center for Natural & Technological Hazards, University of Utah; 260 Central Campus Dr., Rm. 4625, Salt Lake City, UT, 84112, USA.
| | - Sara E Grineski
- Center for Natural & Technological Hazards, University of Utah; 260 Central Campus Dr., Rm. 4625, Salt Lake City, UT, 84112, USA; Department of Sociology, University of Utah; 380 S 1530 E, Rm. 301, Salt Lake City, UT, 84112, USA
| | - Yasamin Shaker
- Center for Natural & Technological Hazards, University of Utah; 260 Central Campus Dr., Rm. 4625, Salt Lake City, UT, 84112, USA; Department of Sociology, University of Utah; 380 S 1530 E, Rm. 301, Salt Lake City, UT, 84112, USA
| | - Casey J Mullen
- Center for Natural & Technological Hazards, University of Utah; 260 Central Campus Dr., Rm. 4625, Salt Lake City, UT, 84112, USA; Department of Sociology, University of Utah; 380 S 1530 E, Rm. 301, Salt Lake City, UT, 84112, USA
| |
Collapse
|
38
|
Wang H, Luo J, Zhang M, Ling Y. The Impact of Transportation Restructuring on the Intensity of Greenhouse Gas Emissions: Empirical Data from China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:12960. [PMID: 36232273 PMCID: PMC9614600 DOI: 10.3390/ijerph191912960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 10/06/2022] [Accepted: 10/08/2022] [Indexed: 06/16/2023]
Abstract
Adjusting transportation structure to reduce the intensity of greenhouse gas emissions is an effective way to address climate change issues. This paper selects six transport sectors and constructs a hybrid input-output model to study the impact of transportation restructuring on the intensity of CO2 and non-CO2 greenhouse gas emissions in each sector during different periods. The results show that the effect of transportation restructuring on greenhouse gas emissions is manifested differently in different time periods. After 2008, transportation restructuring had a significant effect on reducing the intensity of greenhouse gas emissions in all sectors. However, the impact of transportation restructuring on the intensity of non-CO2 greenhouse gas emissions is limited. It is also found that the railway transport sector has been a low-impact transport sector in terms of greenhouse gas emissions since 2004, which provides insights for the optimization of China's transportation structure.
Collapse
|
39
|
Burney J, Persad G, Proctor J, Bendavid E, Burke M, Heft-Neal S. Geographically resolved social cost of anthropogenic emissions accounting for both direct and climate-mediated effects. SCIENCE ADVANCES 2022; 8:eabn7307. [PMID: 36149961 PMCID: PMC9506714 DOI: 10.1126/sciadv.abn7307] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 08/09/2022] [Indexed: 06/16/2023]
Abstract
The magnitude and distribution of physical and societal impacts from long-lived greenhouse gases are insensitive to the emission source location; the same is not true for major coemitted short-lived pollutants such as aerosols. Here, we combine novel global climate model simulations with established response functions to show that a given aerosol emission from different regions produces divergent air quality and climate changes and associated human system impacts, both locally and globally. The marginal global damages to infant mortality, crop productivity, and economic growth from aerosol emissions and their climate effects differ by more than an order of magnitude depending on source region, with certain regions creating global external climate changes and impacts much larger than those felt locally. The complex distributions of aerosol-driven societal impacts emerge from geographically distinct and region-specific aerosol-climate interactions, estimation of which is enabled by the full Earth System Modeling Framework used here.
Collapse
Affiliation(s)
- Jennifer Burney
- School of Global Policy and Strategy, University of California, San Diego, CA, USA
| | - Geeta Persad
- Department of Geological Sciences, University of Texas at Austin, Austin, TX, USA
| | - Jonathan Proctor
- Center for the Environment and Data Science Initiative, Harvard University, Cambridge, MA, USA
| | - Eran Bendavid
- Department of Medicine, Stanford University, Stanford, CA, USA
| | - Marshall Burke
- Department of Earth System Science, Stanford University, Stanford, CA, USA
| | - Sam Heft-Neal
- Center on Food Security and the Environment, Stanford University, Stanford, CA, USA
| |
Collapse
|
40
|
Zhang L, Wu P, Niu M, Zheng Y, Wang J, Dong G, Zhang Z, Xie Z, Du M, Jiang H, Liu H, Cao L, Pang L, Lv C, Lei Y, Cai B, Zhu Y. A systematic assessment of city-level climate change mitigation and air quality improvement in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 839:156274. [PMID: 35644391 DOI: 10.1016/j.scitotenv.2022.156274] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Revised: 05/04/2022] [Accepted: 05/23/2022] [Indexed: 06/15/2023]
Abstract
China is facing dual challenges of air pollution and climate change. By using city-level data, we comprehensively assessed air quality and CO2 emission changes from 2015 to 2019 for 335 Chinese cities. We selected important regions for air pollution control and categorized all cities into different classes according to their development levels. Our novel approach revealed new insights on different patterns of changes of PM2.5, O3, and CO2 by region and city class. We found that PM2.5 concentrations decreased remarkably due to mandatory city-level reduction targets, especially in the Beijing-Tianjin-Hebei (-27%) region. Nonetheless, O3 concentrations and CO2 emissions increased in 91% and 69% of Chinese cities, respectively. Observed CO2 emission reductions in more developed cities were mainly due to prominent energy intensity reduction and energy structure improvement. Our study indicates a lack of synergy in air pollution control and CO2 mitigation under current policies in China. To address both challenges holistically, we suggest setting mandatory city-level CO2 emission reduction targets and reinforcing clean energy and energy efficiency measures.
Collapse
Affiliation(s)
- Li Zhang
- Center for Carbon Neutrality, Chinese Academy of Environmental Planning, Beijing 100012, China; Institute of Environment and Sustainability, University of California Los Angeles, Los Angeles, CA 90095, United States
| | - Pengcheng Wu
- School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Muchuan Niu
- Department of Environmental Health Sciences, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA 90095, United States
| | - Yixuan Zheng
- Center of Air Quality Simulation and System Analysis, Chinese Academy of Environmental Planning, Beijing 100012, China
| | - Junxia Wang
- State Environmental Protection Key Laboratory of Quality Control in Environmental Monitoring, China National Environmental Monitoring Centre, Beijing 100012, China
| | - Guangxia Dong
- State Environmental Protection Key Laboratory of Quality Control in Environmental Monitoring, China National Environmental Monitoring Centre, Beijing 100012, China
| | - Zhe Zhang
- Center for Carbon Neutrality, Chinese Academy of Environmental Planning, Beijing 100012, China
| | - Zixuan Xie
- Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, MO 63130, United States
| | - Mengbing Du
- Department of Public Policy, City University of Hong Kong, Kowloon Tong, Hong Kong 999077, China
| | - Hanying Jiang
- School of Environment, Tsinghua University, Beijing 100084, China
| | - Hui Liu
- School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China
| | - Libin Cao
- Center for Carbon Neutrality, Chinese Academy of Environmental Planning, Beijing 100012, China
| | - Lingyun Pang
- Center for Carbon Neutrality, Chinese Academy of Environmental Planning, Beijing 100012, China
| | - Chen Lv
- Center for Carbon Neutrality, Chinese Academy of Environmental Planning, Beijing 100012, China
| | - Yu Lei
- Center for Carbon Neutrality, Chinese Academy of Environmental Planning, Beijing 100012, China; Center of Air Quality Simulation and System Analysis, Chinese Academy of Environmental Planning, Beijing 100012, China.
| | - Bofeng Cai
- Center for Carbon Neutrality, Chinese Academy of Environmental Planning, Beijing 100012, China.
| | - Yifang Zhu
- Institute of Environment and Sustainability, University of California Los Angeles, Los Angeles, CA 90095, United States; Department of Environmental Health Sciences, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA 90095, United States.
| |
Collapse
|
41
|
Tan X, Liu Y, Dong H, Xiao Y, Zhao Z. The health consequences of greenhouse gas emissions: a potential pathway. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2022; 44:2955-2974. [PMID: 34993736 DOI: 10.1007/s10653-021-01142-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Accepted: 10/17/2021] [Indexed: 06/14/2023]
Abstract
Excessive greenhouse gas emissions might be the major culprit for environmental degradation, which have direct and indirect adverse impacts in various ways. As the largest emitter of carbon emissions, China suffered great harm from climate change during the past 40 years. Therefore, it becomes necessary to study the impact of carbon emissions on health issues and their potential mechanism. Using the panel data from 30 provinces in China between 2002 and 2017, this study employes and extends the Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model and mediating effect model to analyze the direct and indirect effects of carbon emissions. The main results are as follows: (1) Carbon emissions has a certain negative impact on public health, which would increase with the rise of temperature. (2) The increase in carbon emissions has a more significant negative effect on health with the average temperature exceeding 17.75 °C, indicating that the temperature has a threshold effect. (3) The potential health risks become higher with the development of urbanization, but there is no obvious spillover effect in the health consequences. The results remain robust after controlling other factors. This study supplements the literature of climate governance and human health, potentially contributing to the next stage of high-quality and sustainable development.
Collapse
Affiliation(s)
- Xiujie Tan
- Institute for International Studies, CICTSMR, Wuhan University, Wuhan, China
- Climate Change and Energy Economics Study Center, Wuhan University, Wuhan, China
| | - Yishuang Liu
- School of Economics and Management, Wuhan University, Wuchang District, Wuhan City, Hubei Province, China.
- Taiwan Research Institute, Wuhan University, Wuhan, China.
| | - Hanmin Dong
- School of Management, Huazhong University of Science and Technology, Wuhan, China.
- School of Energy and Environment, City University of Hong Kong, Hong Kong, China.
| | - Yujia Xiao
- School of Management, Huazhong University of Science and Technology, Wuhan, China.
- College of Liberal Arts and Social Sciences, City University of Hong Kong, Hong Kong, China.
| | - Zhihui Zhao
- School of Economics and Management, Wuhan University, Wuchang District, Wuhan City, Hubei Province, China
| |
Collapse
|
42
|
da Silva FTF, Szklo A, Vinhoza A, Nogueira AC, Lucena AFP, Mendonça AM, Marcolino C, Nunes F, Carvalho FM, Tagomori I, Soares L, da Cruz MR, Rochedo P, Rajão R, Rathmann R, Schaeffer R, de Bittencourt SRM. Inter-sectoral prioritization of climate technologies: insights from a Technology Needs Assessment for mitigation in Brazil. MITIGATION AND ADAPTATION STRATEGIES FOR GLOBAL CHANGE 2022; 27:48. [PMID: 36065418 PMCID: PMC9433519 DOI: 10.1007/s11027-022-10025-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Accepted: 08/16/2022] [Indexed: 06/15/2023]
Abstract
UNLABELLED Technological development is key for national strategies to cope with the Paris Agreement's goals. Technology Needs Assessments (TNAs) aim to identify, prioritize, and diffuse climate change mitigation and/or adaptation technologies in developing countries. Their methodology includes a multi-criteria decision analysis (MCDA) framework but, although many countries already conducted a TNA, literature lacks discussions on country-specific processes for a TNA, as it usually follows a one-size-fits-all approach. This paper provides empirical evidence on the importance of country-driven processes that help shaping international programmes into country-specific needs and capabilities. It presents lessons learned from a tailored process for identification, prioritization, and selection of mitigation technologies in the scope of a TNA project for Brazil, an exceptional case of a developing country with strong capacity in integrated assessment modelling (IAM) scenarios for guiding its climate strategies. A previous IAM scenario result allowed pre-selecting technologies in six key economic sectors, while other TNAs prioritized no more than three. This allowed the elaboration of an overall ranking from the MCDA, in contrast to sectoral rankings that are mostly employed in other countries' TNAs. The overall ranking serves not only as a basis for the selection of priority technologies but also provides information on the integrated innovations framework for climate technologies in the country. Further specific findings of the tailored Brazilian TNA approach are discussed in the paper in order to call for the importance that a technology transfer project should not only be country-driven but also conducted through a country-specific process. SUPPLEMENTARY INFORMATION The online version contains supplementary material available at 10.1007/s11027-022-10025-6.
Collapse
Affiliation(s)
- Fábio T. F. da Silva
- Centre for Energy and Environmental Economics (Cenergia), Energy Planning Programme (PPE), Graduate School of Engineering (COPPE), Universidade Federal Do Rio de Janeiro, Avenida Horácio de Macedo, 2030, Centro de Tecnologia, C-211, Ilha do Fundão, Rio de Janeiro, RJ 21941-972 Brazil
| | - Alexandre Szklo
- Centre for Energy and Environmental Economics (Cenergia), Energy Planning Programme (PPE), Graduate School of Engineering (COPPE), Universidade Federal Do Rio de Janeiro, Avenida Horácio de Macedo, 2030, Centro de Tecnologia, C-211, Ilha do Fundão, Rio de Janeiro, RJ 21941-972 Brazil
| | - Amanda Vinhoza
- Centre for Energy and Environmental Economics (Cenergia), Energy Planning Programme (PPE), Graduate School of Engineering (COPPE), Universidade Federal Do Rio de Janeiro, Avenida Horácio de Macedo, 2030, Centro de Tecnologia, C-211, Ilha do Fundão, Rio de Janeiro, RJ 21941-972 Brazil
| | - Ana Célia Nogueira
- Universidade Federal de Minas Gerais, Belo Horizonte, MG 31270-901 Brazil
| | - André F. P. Lucena
- Centre for Energy and Environmental Economics (Cenergia), Energy Planning Programme (PPE), Graduate School of Engineering (COPPE), Universidade Federal Do Rio de Janeiro, Avenida Horácio de Macedo, 2030, Centro de Tecnologia, C-211, Ilha do Fundão, Rio de Janeiro, RJ 21941-972 Brazil
| | - Antônio Marcos Mendonça
- General Coordination of Climate, Ministry of Science, Technology, and Innovations (MCTI), Esplanada Dos Ministérios, Bloco E, Brasília, DF 70067-900 Brazil
| | - Camilla Marcolino
- Universidade Federal de Minas Gerais, Belo Horizonte, MG 31270-901 Brazil
- Territorial Intelligence Center, Legal Space Coworking, Araguari St., 358, Barro Preto, Belo Horizonte, MG 30190-110 Brazil
| | - Felipe Nunes
- Universidade Federal de Minas Gerais, Belo Horizonte, MG 31270-901 Brazil
- Territorial Intelligence Center, Legal Space Coworking, Araguari St., 358, Barro Preto, Belo Horizonte, MG 30190-110 Brazil
| | - Francielle M. Carvalho
- Centre for Energy and Environmental Economics (Cenergia), Energy Planning Programme (PPE), Graduate School of Engineering (COPPE), Universidade Federal Do Rio de Janeiro, Avenida Horácio de Macedo, 2030, Centro de Tecnologia, C-211, Ilha do Fundão, Rio de Janeiro, RJ 21941-972 Brazil
| | - Isabela Tagomori
- Centre for Energy and Environmental Economics (Cenergia), Energy Planning Programme (PPE), Graduate School of Engineering (COPPE), Universidade Federal Do Rio de Janeiro, Avenida Horácio de Macedo, 2030, Centro de Tecnologia, C-211, Ilha do Fundão, Rio de Janeiro, RJ 21941-972 Brazil
| | - Laura Soares
- Universidade Federal de Minas Gerais, Belo Horizonte, MG 31270-901 Brazil
- Territorial Intelligence Center, Legal Space Coworking, Araguari St., 358, Barro Preto, Belo Horizonte, MG 30190-110 Brazil
| | - Márcio Rojas da Cruz
- General Coordination of Climate, Ministry of Science, Technology, and Innovations (MCTI), Esplanada Dos Ministérios, Bloco E, Brasília, DF 70067-900 Brazil
| | - Pedro Rochedo
- Centre for Energy and Environmental Economics (Cenergia), Energy Planning Programme (PPE), Graduate School of Engineering (COPPE), Universidade Federal Do Rio de Janeiro, Avenida Horácio de Macedo, 2030, Centro de Tecnologia, C-211, Ilha do Fundão, Rio de Janeiro, RJ 21941-972 Brazil
| | - Raoni Rajão
- Universidade Federal de Minas Gerais, Belo Horizonte, MG 31270-901 Brazil
| | - Régis Rathmann
- General Coordination of Climate, Ministry of Science, Technology, and Innovations (MCTI), Esplanada Dos Ministérios, Bloco E, Brasília, DF 70067-900 Brazil
| | - Roberto Schaeffer
- Centre for Energy and Environmental Economics (Cenergia), Energy Planning Programme (PPE), Graduate School of Engineering (COPPE), Universidade Federal Do Rio de Janeiro, Avenida Horácio de Macedo, 2030, Centro de Tecnologia, C-211, Ilha do Fundão, Rio de Janeiro, RJ 21941-972 Brazil
| | | |
Collapse
|
43
|
He DC, Li FH, Wu M, Luo HL, Qiu LQ, Ma XR, Lu JW, Liu WR, Ying GG. Emission of volatile organic compounds (VOCs) from application of commercial pesticides in China. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022; 314:115069. [PMID: 35447450 DOI: 10.1016/j.jenvman.2022.115069] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 04/07/2022] [Accepted: 04/09/2022] [Indexed: 06/14/2023]
Abstract
Applying pesticides can result in emissions of volatile organic compounds (VOCs), but little is known about VOC emission characteristics and the quantities in particular regions. We investigated the use of pesticides in China based on a large-scale survey of 330 counties in 31 provinces and evaluated the national pesticide VOC emission potentials based on thermogravimetric analysis of 1930 commercial pesticides. The results showed that herbicides were the most extensively used pesticide category in China, accounting for 43.47%; emulsifiable concentrate (EC), suspension concentrate, and wettable powder were the dominant pesticide formulations, with proportions of 26.75%, 17.68%, and 17.31%, respectively. The VOC emission potential coefficient (EP) of the liquid formulations was higher than the solid formulations, and the maximum mean EP was 45.59% for EC and the minimum was 0.76% for WP. Among 437 high-VOC pesticide products used in China, EC accounted for 83.52%, and 16.93% of those contained abamectin. The total VOC emissions derived from commercial pesticides in China were 280 kt (kilotons) in 2018, and 65.35% of the contribution was derived from EC. Shandong, Hunan, and Henan were the three provinces with the highest pesticide VOC emissions (>21 kt/y). The emission rate of VOCs from pesticides was 24.80 t/d in China, which was higher than in San Joaquin Valley, California. These findings suggest that some comprehensive measures (e.g., perfecting pesticide management policy, strict supervision for pesticide production and use, and strengthening pesticide reduction publicity) should be taken to reduce VOC emissions from pesticide applications.
Collapse
Affiliation(s)
- De-Chun He
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment of the PR China, Guangzhou, 510655, China
| | - Fang-Hong Li
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment of the PR China, Guangzhou, 510655, China
| | - Mian Wu
- College of Resources and Environment, Hunan Agricultural University, Changsha, 410128, China
| | - Hui-Li Luo
- College of Resources and Environment, Hunan Agricultural University, Changsha, 410128, China
| | - Li-Qing Qiu
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment of the PR China, Guangzhou, 510655, China
| | - Xiao-Rui Ma
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment of the PR China, Guangzhou, 510655, China
| | - Jia-Wei Lu
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment of the PR China, Guangzhou, 510655, China
| | - Wang-Rong Liu
- State Environmental Protection Key Laboratory of Environmental Pollution Health Risk Assessment, South China Institute of Environmental Sciences, Ministry of Ecology and Environment of the PR China, Guangzhou, 510655, China.
| | - Guang-Guo Ying
- Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety, School of Environment, South China Normal University, Guangzhou, 510006, China
| |
Collapse
|
44
|
Liu Z, Dong M, Xue W, Ni X, Qi Z, Shao J, Guo Y, Ma M, Zhang Q, Wang J. Interaction Patterns between Climate Action and Air Cleaning in China: A Two-Way Evaluation Based on an Ensemble Learning Approach. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:9291-9301. [PMID: 35714369 DOI: 10.1021/acs.est.2c01966] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
China will attempt to achieve its simultaneous goals in 2060, whereby carbon neutrality will be accomplished and the PM2.5 (fine particulate matter) level is expected to remain below 10 μg/m3. Identifying interaction patterns between air cleaning and climate action represents an important step to obtain cobenefits. Here, we used a random sampling strategy through the combination of chemical transport modeling and machine learning approach to capture the interaction effects from two perspectives in which the driving forces of both climate action and air cleaning measures were compared. We revealed that climate action where carbon emissions were decreased to 1.9 Bt (billion tons) could lead to a PM2.5 level of 12.4 μg/m3 (95% CI (confidence interval): 10.2-14.6 μg/m3) in 2060, while air cleaning could force carbon emissions to reach 1.93 Bt (95% CI: 0.79-3.19 Bt) to achieve net carbon neutrality based on the potential carbon sinks in 2060. Additional controls targeting primary PM2.5, ammonia, and volatile organic compounds were required as supplements to overcome the partial lack of climate action. Our study provides novel insights into the cobenefits of air-quality improvement and climate change mitigation, indicating that the effect of air cleaning on the simultaneous goals might have been underestimated before.
Collapse
Affiliation(s)
- Zeyuan Liu
- College of Environmental & Resource Sciences, Zhejiang University, Hangzhou 310058, China
| | - Mengting Dong
- College of Environmental & Resource Sciences, Zhejiang University, Hangzhou 310058, China
| | - Wenbo Xue
- Center of Air Quality Simulation and System Analysis, Chinese Academy of Environmental Planning, Beijing 100012, China
| | - Xiufeng Ni
- College of Environmental & Resource Sciences, Zhejiang University, Hangzhou 310058, China
| | - Zhulin Qi
- College of Environmental & Resource Sciences, Zhejiang University, Hangzhou 310058, China
| | - Jiacheng Shao
- College of Environmental & Resource Sciences, Zhejiang University, Hangzhou 310058, China
| | - Yingzhuang Guo
- College of Environmental & Resource Sciences, Zhejiang University, Hangzhou 310058, China
| | - Mengying Ma
- College of Environmental & Resource Sciences, Zhejiang University, Hangzhou 310058, China
| | - Qingyu Zhang
- College of Environmental & Resource Sciences, Zhejiang University, Hangzhou 310058, China
| | - Jinnan Wang
- College of Environmental & Resource Sciences, Zhejiang University, Hangzhou 310058, China
- Center of Air Quality Simulation and System Analysis, Chinese Academy of Environmental Planning, Beijing 100012, China
| |
Collapse
|
45
|
Tulloch AIT, Oh RRY, Gallegos D. Environmental and public health co-benefits of consumer switches to immunity-supporting food. AMBIO 2022; 51:1658-1672. [PMID: 35076882 PMCID: PMC8787970 DOI: 10.1007/s13280-021-01693-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Revised: 11/03/2021] [Accepted: 12/13/2021] [Indexed: 06/14/2023]
Abstract
During COVID-19, there has been a surge in public interest for information on immunity-boosting foods. There is little scientific support for immunity-supporting properties of specific foods, but strong evidence for food choice impacts on other health outcomes (e.g. risk of non-communicable disease) and environmental sustainability. Here, we relate online recommendations for "immunity-boosting" foods across five continents to their environmental and human health impacts. More frequently recommended food items and groups are plant based and have lower land use and greenhouse gas emission impacts plus more positive health outcomes (reducing relative risks of mortality or chronic diet-related diseases) per serving of food. We identify trade-offs between environmental outcomes of increasing consumption of recommended food items, with aquatic environment impacts increasing with food recommendation frequency. People's reliance on the Internet for health information creates an opportunity to consolidate behaviour change towards consuming foods with multiple co-benefits. Our study identifies win-win options for nudging online information-seeking behaviour towards more sustainable choices for terrestrial biodiversity conservation and human health.
Collapse
Affiliation(s)
- Ayesha I. T. Tulloch
- School of Life and Environmental Sciences, University of Sydney, Sydney, NSW 2000 Australia
- School of Biology and Environmental Science, Queensland University of Technology, Brisbane, QLD 4000 Australia
| | - Rachel R. Y. Oh
- School of Biological Sciences, University of Queensland, Brisbane, QLD 4072 Australia
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
- Department of Ecosystem Services, Helmholtz-Centre for Environmental Research – UFZ, Leipzig, Germany
| | - Danielle Gallegos
- Faculty of Health, Woolworths Centre for Childhood Nutrition Research, Queensland University of Technology (QUT), Brisbane, QLD 4101 Australia
- School of Exercise and Nutrition Sciences, Queensland University of Technology (QUT), Kelvin Grove, QLD 4059 Australia
| |
Collapse
|
46
|
Keswani A, Akselrod H, Anenberg SC. Health and Clinical Impacts of Air Pollution and Linkages with Climate Change. NEJM EVIDENCE 2022; 1:EVIDra2200068. [PMID: 38319260 DOI: 10.1056/evidra2200068] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2024]
Abstract
Air Pollution Impacts and Climate Change LinksAs part of the NEJM Group series on climate change, Keswani and colleagues review the linkages between climate change and air pollution and suggest strategies that clinicians may use to mitigate the adverse health impacts of air pollution.
Collapse
Affiliation(s)
- Anjeni Keswani
- Division of Allergy/Immunology, George Washington University School of Medicine and Health Sciences, Washington, DC
| | - Hana Akselrod
- Division of Infectious Diseases, George Washington University School of Medicine and Health Sciences, Washington, DC
| | - Susan C Anenberg
- George Washington University Milken Institute School of Public Health, Washington, DC
| |
Collapse
|
47
|
Ingole V, Dimitrova A, Sampedro J, Sacoor C, Acacio S, Juvekar S, Roy S, Moraga P, Basagaña X, Ballester J, Antó JM, Tonne C. Local mortality impacts due to future air pollution under climate change scenarios. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 823:153832. [PMID: 35151734 DOI: 10.1016/j.scitotenv.2022.153832] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Revised: 01/27/2022] [Accepted: 02/08/2022] [Indexed: 06/14/2023]
Abstract
The health impacts of global climate change mitigation will affect local populations differently. However, most co-benefits analyses have been done at a global level, with relatively few studies providing local level results. We aimed to quantify the local health impacts due to fine particles (PM2.5) under the governance arrangements embedded in the Shared Socioeconomic Pathways (SSPs1-5) under two greenhouse gas concentration scenarios (Representative Concentration Pathways (RCPs) 2.6 and 8.5) in local populations of Mozambique, India, and Spain. We simulated the SSP-RCP scenarios using the Global Change Analysis Model, which was linked to the TM5-FASST model to estimate PM2.5 levels. PM2.5 levels were calibrated with local measurements. We used comparative risk assessment methods to estimate attributable premature deaths due to PM2.5 linking local population and mortality data with PM2.5-mortality relationships from the literature, and incorporating population projections under the SSPs. PM2.5 attributable burdens in 2050 differed across SSP-RCP scenarios, and sensitivity of results across scenarios varied across populations. Future attributable mortality burden of PM2.5 was highly sensitive to assumptions about how populations will change according to SSP. SSPs reflecting high challenges for adaptation (SSPs 3 and 4) consistently resulted in the highest PM2.5 attributable burdens mid-century. Our analysis of local PM2.5 attributable premature deaths under SSP-RCP scenarios in three local populations highlights the importance of both socioeconomic development and climate policy in reducing the health burden from air pollution. Sensitivity of future PM2.5 mortality burden to SSPs was particularly evident in low- and middle- income country settings due either to high air pollution levels or dynamic populations.
Collapse
Affiliation(s)
- Vijendra Ingole
- Barcelona Institute for Global Health (ISGlobal), Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona, Parc de Salut Mar, Spain; King Abdullah University of Science and Technology (KAUST), Computer, Electrical and Mathematical Science and Engineering Division, Saudi Arabia
| | - Asya Dimitrova
- Barcelona Institute for Global Health (ISGlobal), Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona, Parc de Salut Mar, Spain
| | - Jon Sampedro
- Basque Centre for Climate Change (BC3), Sede Building 1, 1st Floor Scientific Campus of the University of the Basque Country, 48940 Leioa, Spain
| | | | | | - Sanjay Juvekar
- Vadu Rural Health Program, KEM Hospital Research Centre, Pune, India
| | - Sudipto Roy
- Vadu Rural Health Program, KEM Hospital Research Centre, Pune, India
| | - Paula Moraga
- King Abdullah University of Science and Technology (KAUST), Computer, Electrical and Mathematical Science and Engineering Division, Saudi Arabia
| | - Xavier Basagaña
- Barcelona Institute for Global Health (ISGlobal), Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona, Parc de Salut Mar, Spain
| | - Joan Ballester
- Barcelona Institute for Global Health (ISGlobal), Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona, Parc de Salut Mar, Spain
| | - Josep M Antó
- Barcelona Institute for Global Health (ISGlobal), Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona, Parc de Salut Mar, Spain
| | - Cathryn Tonne
- Barcelona Institute for Global Health (ISGlobal), Universitat Pompeu Fabra, CIBER Epidemiología y Salud Pública, Barcelona, Parc de Salut Mar, Spain.
| |
Collapse
|
48
|
Che K, Liu Y, Cai Z, Yang D, Wang H, Ji D, Yang Y, Wang P. Characterization of Regional Combustion Efficiency using ΔXCO: ΔXCO 2 Observed by a Portable Fourier-Transform Spectrometer at an Urban Site in Beijing. ADVANCES IN ATMOSPHERIC SCIENCES 2022; 39:1299-1315. [PMID: 35578720 PMCID: PMC9093556 DOI: 10.1007/s00376-022-1247-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Revised: 12/17/2021] [Accepted: 01/05/2022] [Indexed: 06/15/2023]
Abstract
Measurements of column-averaged dry-air mole fractions of carbon dioxide and carbon monoxide, CO2 (XCO2) and CO (XCO), were performed throughout 2019 at an urban site in Beijing using a compact Fourier Transform Spectrometer (FTS) EM27/SUN. This data set is used to assess the characteristics of combustion-related CO2 emissions of urban Beijing by analyzing the correlated daily anomalies of XCO and XCO2 (e.g., ΔXCO and ΔXCO2). The EM27/SUN measurements were calibrated to a 125HR-FTS at the Xianghe station by an extra EM27/SUN instrument transferred between two sites. The ratio of ΔXCO over ΔXCO2 (ΔXCO:ΔXCO2) is used to estimate the combustion efficiency in the Beijing region. A high correlation coefficient (0.86) between ΔXCO and ΔXCO2 is observed. The CO:CO2 emission ratio estimated from inventories is higher than the observed ΔXCO:ΔXCO2 (10.46 ± 0.11 ppb ppm-1) by 42.54%-101.15%, indicating an underestimation in combustion efficiency in the inventories. Daily ΔXCO:ΔXCO2 are influenced by transportation governed by weather conditions, except for days in summer when the correlation is low due to the terrestrial biotic activity. By convolving the column footprint [ppm (µmol m-2 s-1)-1] generated by the Weather Research and Forecasting-X-Stochastic Time-Inverted Lagrangian Transport models (WRF-X-STILT) with two fossil-fuel emission inventories (the Multi-resolution Emission Inventory for China (MEIC) and the Peking University (PKU) inventory), the observed enhancements of CO2 and CO were used to evaluate the regional emissions. The CO2 emissions appear to be underestimated by 11% and 49% for the MEIC and PKU inventories, respectively, while CO emissions were overestimated by MEIC (30%) and PKU (35%) in the Beijing area.
Collapse
Affiliation(s)
- Ke Che
- Key Laboratory of Middle Atmosphere and Global Environment Observation, Institute of Atmospheric Physics, Chinese Academy of Science, Beijing, 100029 China
- Carbon Neutrality Research Center, Institute of Atmospheric Physics, Chinese Academy of Science, Beijing, 100029 China
- University of Chinese Academy of Science, Beijing, 100049 China
| | - Yi Liu
- Carbon Neutrality Research Center, Institute of Atmospheric Physics, Chinese Academy of Science, Beijing, 100029 China
- University of Chinese Academy of Science, Beijing, 100049 China
| | - Zhaonan Cai
- Carbon Neutrality Research Center, Institute of Atmospheric Physics, Chinese Academy of Science, Beijing, 100029 China
| | - Dongxu Yang
- Carbon Neutrality Research Center, Institute of Atmospheric Physics, Chinese Academy of Science, Beijing, 100029 China
| | - Haibo Wang
- Key Laboratory of Middle Atmosphere and Global Environment Observation, Institute of Atmospheric Physics, Chinese Academy of Science, Beijing, 100029 China
- University of Chinese Academy of Science, Beijing, 100049 China
| | - Denghui Ji
- Key Laboratory of Middle Atmosphere and Global Environment Observation, Institute of Atmospheric Physics, Chinese Academy of Science, Beijing, 100029 China
- University of Chinese Academy of Science, Beijing, 100049 China
| | - Yang Yang
- Key Laboratory of Middle Atmosphere and Global Environment Observation, Institute of Atmospheric Physics, Chinese Academy of Science, Beijing, 100029 China
- University of Chinese Academy of Science, Beijing, 100049 China
| | - Pucai Wang
- Carbon Neutrality Research Center, Institute of Atmospheric Physics, Chinese Academy of Science, Beijing, 100029 China
- University of Chinese Academy of Science, Beijing, 100049 China
| |
Collapse
|
49
|
Sun HZ, Yu P, Lan C, Wan MW, Hickman S, Murulitharan J, Shen H, Yuan L, Guo Y, Archibald AT. Cohort-based long-term ozone exposure-associated mortality risks with adjusted metrics: A systematic review and meta-analysis. Innovation (N Y) 2022; 3:100246. [PMID: 35519514 PMCID: PMC9065904 DOI: 10.1016/j.xinn.2022.100246] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 04/16/2022] [Indexed: 11/30/2022] Open
Abstract
Long-term ozone (O3) exposure may lead to non-communicable diseases and increase mortality risk. However, cohort-based studies are relatively rare, and inconsistent exposure metrics impair the credibility of epidemiological evidence synthetization. To provide more accurate meta-estimations, this study updates existing systematic reviews by including recent studies and summarizing the quantitative associations between O3 exposure and cause-specific mortality risks, based on unified exposure metrics. Cross-metric conversion factors were estimated linearly by decadal observations during 1990-2019. The Hunter-Schmidt random-effects estimator was applied to pool the relative risks. A total of 25 studies involving 226,453,067 participants (14 unique cohorts covering 99,855,611 participants) were included in the systematic review. After linearly unifying the inconsistent O3 exposure metrics , the pooled relative risks associated with every 10 nmol mol-1 (ppbV) incremental O3 exposure, by mean of the warm-season daily maximum 8-h average metric, were as follows: 1.014 with 95% confidence interval (CI) ranging 1.009-1.019 for all-cause mortality; 1.025 (95% CI: 1.010-1.040) for respiratory mortality; 1.056 (95% CI: 1.029-1.084) for COPD mortality; 1.019 (95% CI: 1.004-1.035) for cardiovascular mortality; and 1.074 (95% CI: 1.054-1.093) for congestive heart failure mortality. Insignificant mortality risk associations were found for ischemic heart disease, cerebrovascular diseases, and lung cancer. Adjustment for exposure metrics laid a solid foundation for multi-study meta-analysis, and widening coverage of surface O3 observations is expected to strengthen the cross-metric conversion in the future. Ever-growing numbers of epidemiological studies supported the evidence for considerable cardiopulmonary hazards and all-cause mortality risks from long-term O3 exposure. However, evidence of long-term O3 exposure-associated health effects was still scarce, so more relevant studies are needed to cover more populations with regional diversity.
Collapse
Affiliation(s)
- Haitong Zhe Sun
- Centre for Atmospheric Science, Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, UK
- Department of Earth Sciences, University of Cambridge, Cambridge CB2 3EQ, UK
| | - Pei Yu
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Changxin Lan
- Institute of Reproductive and Child Health, Key Laboratory of Reproductive Health, National Health Commission of the People’s Republic of China, Beijing 100191, China
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Michelle W.L. Wan
- Centre for Atmospheric Science, Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, UK
| | - Sebastian Hickman
- Centre for Atmospheric Science, Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, UK
| | - Jayaprakash Murulitharan
- Centre for Atmospheric Science, Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, UK
| | - Huizhong Shen
- School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
| | - Le Yuan
- Centre for Atmospheric Science, Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, UK
| | - Yuming Guo
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
| | - Alexander T. Archibald
- Centre for Atmospheric Science, Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, UK
- National Centre for Atmospheric Science, Cambridge CB2 1EW, UK
| |
Collapse
|
50
|
Xu P, Houlton BZ, Zheng Y, Zhou F, Ma L, Li B, Liu X, Li G, Lu H, Quan F, Hu S, Chen A. Policy-enabled stabilization of nitrous oxide emissions from livestock production in China over 1978-2017. NATURE FOOD 2022; 3:356-366. [PMID: 37117572 DOI: 10.1038/s43016-022-00513-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 04/13/2022] [Indexed: 04/30/2023]
Abstract
Mitigating livestock-related nitrous oxide (N2O) emissions is key for China to meet its 2060 carbon neutrality target. Here we present a comprehensive analysis of the magnitude, spatiotemporal variation and drivers of Chinese livestock N2O emissions from 1978 to 2017. We developed scenarios to explore emissions mitigation potential and associated marginal abatement costs and social benefits. The average growth rate of China's livestock N2O emissions increased by 4.6% per year through 2006, falling sharply over 2007-2015 and gradually declining in 2017 due to a slowdown in population and meat-consumption growth rates. We estimate the technical mitigation potential of livestock N2O emissions in 2030 to be 7-21% (or 23.1-70.9 Gg N2O), with implementation costs of US$5.5 billion to US$6.0 billion. Priority regions for intervention were identified in the North China Plain, Northeast Plain and Lianghu Plain. Among mitigation opportunities, anaerobic digestion offers the greatest social benefit, while low crude protein feed is the most cost-effective option.
Collapse
Affiliation(s)
- Peng Xu
- School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, China
| | - Benjamin Z Houlton
- Department of Ecology and Evolutionary Biology and Department of Global Development, Cornell University, Ithaca, NY, USA
| | - Yi Zheng
- School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
- State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
- Shenzhen Municipal Engineering Lab of Environmental IoT Technologies, Southern University of Science and Technology, Shenzhen, China.
| | - Feng Zhou
- Sino-France Institute of Earth Systems Science, Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, China
| | - Lin Ma
- Key Laboratory of Agricultural Water Resources, Hebei Key Laboratory of Soil Ecology, Center for Agricultural Resources Research, Institute of Genetic and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang, China
| | - Bin Li
- School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, China
| | - Xu Liu
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
| | - Geng Li
- School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, China
- Division of Environment and Sustainability, Hong Kong University of Science and Technology, Hong Kong, China
- Earth, Ocean and Atmospheric Science, Function Hub, Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China
| | - Haiyan Lu
- School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, China
| | - Feng Quan
- School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, China
| | - Shiyao Hu
- School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, China
| | - Anping Chen
- Department of Biology and Graduate Degree Program in Ecology, Colorado State University, Fort Collins, CO, USA
| |
Collapse
|