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Wang L, Wang X, Lun X, Wang Q, Gao Y. Assessing carbon stock and BVOCs emissions from dominant tree species in Beijing. J Environ Sci (China) 2025; 156:1-13. [PMID: 40412916 DOI: 10.1016/j.jes.2024.06.020] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Revised: 06/11/2024] [Accepted: 06/12/2024] [Indexed: 05/27/2025]
Abstract
Urban areas face environmental pollution and greenhouse emissions challenges, demand collaborative efforts to mitigation. Urban forests play a crucial role in absorbing CO2 emissions and contributing to carbon sequestration potential, but they also release biogenic volatile organic compounds (BVOCs), which contribute to the formation of tropospheric ozone and secondary organic aerosols (SOA). This study aimed to understand the role of urban forests in carbon stock and BVOCs emission by establishing optimal biomass models for six typical tree species (Robinia pseudoacacia, Quercus, Populus, Pinus tabulaeformis, Betula platyphylla, and Larix gmelinii) in Beijing. Biomass models were developed using field surveys and remote sensing data, with R2 values ranging from 0.364 to 0.921. Applying these models to forest resource inventory data, carbon stock and BVOCs emission models were constructed. In 2021, the total carbon stock for these pure forest tree species was estimated at 5.638 million tons, with a carbon density of 58.86 t/ha. The carbon density ranking for pure forest tree species was: Robinia pseudoacacia > Populus tomentosa > Betula platyphylla > Quercus Linn > Pinus tabulaeformis > Larix gmelinii. Total BVOCs emission in 2021 from the studied species were calculated at 25,789.72 t, with an average emission of 0.27 t/ha. Populus tomentosa had the highest BVOCs emission per unit area, followed by Robinia pseudoacacia, and Larix gmelinii had the smallest. Betula platyphylla and Robinia pseudoacacia were identified as species with high carbon stock and low BVOCs emissions in Beijing, offering insights for future urban forest planning and eco-friendly urban environment development strategies.
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Affiliation(s)
- Luxi Wang
- College of Environmental Science and Engineering, Beijing Forestry University, Beijing 100083, China
| | - Xuan Wang
- College of Environmental Science and Engineering, Beijing Forestry University, Beijing 100083, China
| | - Xiaoxiu Lun
- College of Environmental Science and Engineering, Beijing Forestry University, Beijing 100083, China.
| | - Qiang Wang
- College of Environmental Science and Engineering, Beijing Forestry University, Beijing 100083, China.
| | - Yanshan Gao
- College of Environmental Science and Engineering, Beijing Forestry University, Beijing 100083, China
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2
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Dang J, Wang Y, Ma N, Cai S, Guo J, Liu Y, Zhou H, Lian X, Shi D, Chen Z, Zhang Y, Li J, Huang T, Zhu G, Li J, Ma J, Song Y. The impact of long-term exposure to NO 2, O 3, and their oxidative potential on adolescents' mental health, and the protective role of school-based greenness. ENVIRONMENT INTERNATIONAL 2025; 195:109212. [PMID: 39719755 DOI: 10.1016/j.envint.2024.109212] [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: 09/18/2024] [Revised: 11/20/2024] [Accepted: 12/13/2024] [Indexed: 12/26/2024]
Abstract
Recent increases in nitrogen dioxide (NO2) and ozone (O3), two highly reactive and oxidative pollutants, have raised concerns about their potential impact on adolescent mental health. This study leveraged data from the Chinese National Survey on Students' Constitution and Health (CNSSCH) in 2019, a nationally representative cross-sectional survey of Chinese adolescents. A total of 149,697 adolescents aged 10-18 years were included in this study. NO2 and O3 were sourced from the ChinaHighAirPollutants dataset, and the combined oxidative potential (OX) was subsequently calculated using the concentrations of NO2 and O3. The study quantitively examined the association of NO2, O3, and OX with adolescent mental health using the Dual Factor Model of Mental Health (DFM), which was derived from a questionnaire. According to the DFM, mental health status was divided into four groups: complete mental health, vulnerable, symptomatic but content, and troubled. Greenness around schools, measured by the Normalized Difference Vegetation Index (NDVI), was examined for its potential effect modification on the association between NO2, O3, OX, and mental health. Each IQR (Interquartile Range) increase in OX was related to adverse mental health outcomes, with ORs of 1.17 (95 % CI: 1.06, 1.29) for being vulnerable, 1.20 (95 % CI: 1.12, 1.28) for being more symptomatic but content, and 1.15 (95 % CI: 1.07, 1.23) for being troubled. Similar findings emerged in relation to O3 exposure. A positive association was observed between NO2 exposure and being vulnerable (OR = 1.07; 95 % CI: 1.01, 1.16). Additionally, the impact of exposure to NO2, O3, and OX on mental health outcomes was significantly stronger in the low-level NDVI group compared to the high-level NDVI group (P for interaction < 0.05). The joint effects analysis revealed that adolescents exposed to high levels of air pollutants and low NDVI had the highest odds of adverse mental health outcomes. These results highlight the complex relationship between NO2, O3, OX, and mental health, with particular emphasis on the underexplored role of OX. Notably, the findings suggest that reducing pollution and increasing greenery could offer significant benefits for improving adolescent mental health.
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Affiliation(s)
- Jiajia Dang
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China; National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing 100191, China
| | - Yaqi Wang
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China; National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing 100191, China
| | - Ning Ma
- Vanke School of Public Health, Tsinghua University, Beijing 100084, China
| | - Shan Cai
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China; National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing 100191, China
| | - Jianhui Guo
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China; National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing 100191, China
| | - Yunfei Liu
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China; National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing 100191, China
| | - Haoyu Zhou
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China; National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing 100191, China
| | - Xinyao Lian
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China; National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing 100191, China
| | - Di Shi
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China; National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing 100191, China
| | - Ziyue Chen
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China; National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing 100191, China
| | - Yihang Zhang
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China; National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing 100191, China
| | - Jiaxin Li
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China; National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing 100191, China
| | - Tianyu Huang
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China; National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing 100191, China
| | - Guangrong Zhu
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China; National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing 100191, China
| | - Jing Li
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China; National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing 100191, China.
| | - Jun Ma
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China; National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing 100191, China
| | - Yi Song
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China; National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing 100191, China.
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Vazquez Santiago J, Hata H, Martinez-Noriega EJ, Inoue K. Ozone trends and their sensitivity in global megacities under the warming climate. Nat Commun 2024; 15:10236. [PMID: 39592683 PMCID: PMC11599728 DOI: 10.1038/s41467-024-54490-w] [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: 03/18/2024] [Accepted: 11/12/2024] [Indexed: 11/28/2024] Open
Abstract
Tropospheric ozone formation depends on the emissions of volatile organic compounds (VOC) and nitrogen oxides (NOx). In megacities, abundant VOC and NOx sources cause relentlessly high ozone episodes, affecting a large share of the global population. This study uses data from the Ozone Monitoring Instrument for formaldehyde (HCHO) and nitrogen dioxide (NO2) as proxy data for VOC and NOx emissions, respectively, with their ratio serving as an indicator of ozone sensitivity. Ground-level ozone (O3) reanalysis from the Copernicus Atmosphere Monitoring is used to assess the O3 trends. We evaluate changes from 2005 to 2019 and their relationship with the warming environment in 41 megacities worldwide, applying seasonal Mann-Kendall, trend decomposition methods, and Pearson correlation analysis. We reveal significant increases in global HCHO (0.1 to 0.31 × 1015 mol cm-2 year-1) and regionally varying NO2 (-0.22 to 0.07 × 1015 mol cm-2 year-1). O3 trends range from -0.31 to 0.70 ppb year-1, highlighting the relevance of precursor abundance on O3 levels. The strong correlation between precursor emissions and increasing temperature suggests that O3 will continue to rise as climate change persists.
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Affiliation(s)
- Jairo Vazquez Santiago
- Research Institute of Science for Safety and Sustainability, National Institute of Advanced Industrial Science and Technology, 16-1 Onogawa, Tsukuba, Ibaraki, 305-8560, Japan.
| | - Hiroo Hata
- Research Institute of Science for Safety and Sustainability, National Institute of Advanced Industrial Science and Technology, 16-1 Onogawa, Tsukuba, Ibaraki, 305-8560, Japan
| | - Edgar J Martinez-Noriega
- Digital Architecture Research Center, National Institute of Advanced Industrial Science and Technology, 2-4-7 Aomi, Koto-ku, Tokyo, 135-0064, Japan
| | - Kazuya Inoue
- Research Institute of Science for Safety and Sustainability, National Institute of Advanced Industrial Science and Technology, 16-1 Onogawa, Tsukuba, Ibaraki, 305-8560, Japan.
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Dai W, Zhang B, Ji J, Zhu T, Liu B, Gan Y, Xiao F, Zhang J, Huang H. Efficient Ozone Elimination Over MnO 2 via Double Moisture-Resistance Protection of Active Carbon and CeO 2. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:12091-12100. [PMID: 38916160 DOI: 10.1021/acs.est.4c02482] [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: 06/26/2024]
Abstract
The widespread ozone (O3) pollution is extremely hazardous to human health and ecosystems. Catalytic decomposition into O2 is the most promising method to eliminate ambient O3, while the fast deactivation of catalysts under humid conditions remains the primary challenge for their application. Herein, we elaborately developed a splendidly active and stable Mn-based catalyst with double hydrophobic protection of active carbon (AC) and CeO2 (CeMn@AC), which possessed abundant interfacial oxygen vacancies and excellent desorption of peroxide intermediates (O22-). Under extremely humid (RH = 90%) conditions and a high space velocity of 1200 L h-1 g-1, the optimized CeMn@AC achieved nearly 100% O3 conversion (140 h) at 5 ppm, showing unprecedented catalytic activity and moisture resistance toward O3 decomposition. In situ DRIFTS and theory calculations confirmed that the exceptional moisture resistance of CeMn@AC was ascribed to the double protection effect of AC and CeO2, which cooperatively prevented the competitive adsorption of H2O molecules and their accumulation on the active sites of MnO2. AC provided a hydrophobic reaction environment, and CeO2 further alleviated moisture deterioration of the MnO2 particles exposed on the catalyst surface via the moisture-resistant oxygen vacancies of MnO2-CeO2 crystal boundaries. This work offers a simple and efficient strategy for designing moisture-resistant materials and facilitates the practical application of the O3 decomposition catalysts in various environments.
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Affiliation(s)
- Wenjing Dai
- School of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou 510275, China
| | - Boge Zhang
- School of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou 510275, China
| | - Jian Ji
- Institute of Chemical Engineering, Guangdong Academy of Sciences, Guangzhou 510665, China
| | - Tianle Zhu
- School of Space and Environment, Beihang Universtiy, Beijing 100191, China
| | - Biyuan Liu
- School of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou 510275, China
| | - Yanling Gan
- School of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou 510275, China
| | - Fei Xiao
- School of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou 510275, China
| | - Jiarui Zhang
- School of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou 510275, China
| | - Haibao Huang
- School of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou 510275, China
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5
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Calatayud V, Cariñanos P. Mapping pollen allergenicity from urban trees in Valencia: A tool for green infrastructure planning. ENVIRONMENTAL RESEARCH 2024; 252:118823. [PMID: 38570127 DOI: 10.1016/j.envres.2024.118823] [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: 02/02/2024] [Revised: 03/15/2024] [Accepted: 03/27/2024] [Indexed: 04/05/2024]
Abstract
Urban trees provide many benefits to citizens but also have associated disservices such as pollen allergenicity. Pollen allergies affect 40% of the European population, a problem that will be exacerbated with climate change by lengthening the pollen season. The allergenic characteristics of the urban trees and urban parks of the city of Valencia (Spain) have been studied. The Value of Potential Allergenicity (VPA) was calculated for all species. The most abundant allergenic trees with a very high VPA were the cypresses, followed by Platanus x hispanica and species of genera Morus, Acer and Fraxinus, with a high VPA. On the contrary, Citrus x aurantium, Melia azedarach, Washingtonia spp., Brachychiton spp. and Jacaranda mimosifolia were among the most abundant low allergenic trees. VPA was mapped for the city and a hot spot analysis was applied to identify areas of clustering of high and low VPA values. This geostatistical analysis provides a comprehensive representation of the VPA patterns which is very useful for urban green infrastructure planning. The Index of Urban Green Zone Allergenicity (IUGZA) was calculated for the main parks of the city. The subtropical and tropical flora component included many entomophilous species and the lowest share of high and very high allergenic trees in comparison with the Mediterranean and Temperate components. Overall, a diversification of tree species avoiding clusters of high VPA trees, and the prioritization of species with low VPA are good strategies to minimize allergy-related impacts of urban trees on human health.
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Affiliation(s)
- Vicent Calatayud
- Fundación CEAM, Parque Tecnológico, Charles R. Darwin 14, Paterna, Spain.
| | - Paloma Cariñanos
- Departament of Botany, University of Granada, Granada, Spain; Andalusian Institute for Earth System Research, University of Granada, Spain
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6
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Fu W, Zhao T, Sun X, Bai Y, Yang Q, Shen L, Liang D, Tan C, Luo Y, Yang K, Zhang Y, Wang J. Recent-year variations in O 3 pollution with high-temperature suppression over central China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 349:123932. [PMID: 38583796 DOI: 10.1016/j.envpol.2024.123932] [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: 01/15/2024] [Revised: 03/31/2024] [Accepted: 04/04/2024] [Indexed: 04/09/2024]
Abstract
By analyzing environmental and meteorological monitoring data over recent years of 2015-2022, the Twain-Hu Basin (THB) in central China was identified as a regional O3 pollution center over China with the highest increasing trend at 1.10 %⸱yr-1 in interannual variations of O3 concentrations with deteriorating O3 pollution over recent years. We explored the spatiotemporal variations in O3 pollution in the THB with ozone suppression (OS) under high air temperature over metropolitan, small urban, and mountainous areas. The bipolarized interannual trends in interannual O3 variations in urban and mountainous areas over central China were characterized with the increasing and decreasing 90th percentiles of the daily maximum 8-h (MDA8-90) O3 concentrations respectively in polluted urban areas and clean mountainous areas over recent eight years. The changes of the near-surface O3 concentrations with air temperature exhibited the inflection points of OS from increasing to decreasing O3 at air temperature of 30.5 °C in mountainous areas, 32.5 °C in small urban areas, and 34.5 °C in metropolitan areas, and the intensity of OS was estimated in the ranking with mountainous areas (-2.30 μg⸱m-3⸱°C-1) > small urban areas (-1.96 μg⸱m-3⸱°C-1) > metropolitan areas (-1.54 μg⸱m-3⸱°C-1), indicating that the OS was more significant over the lower-O3 mountainous areas. This study has implications for understanding O3 pollution variations with the meteorological drivers.
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Affiliation(s)
- Weikang Fu
- Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory of Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing, 210044, China
| | - Tianliang Zhao
- Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory of Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing, 210044, China.
| | - Xiaoyun Sun
- Anhui Province Key Laboratory of Atmospheric Science and Satellite Remote Sensing, Anhui Institute of Meteorological Sciences, Hefei, 230031, China
| | - Yongqing Bai
- Institute of Heavy Rain, China Meteorological Administration, Wuhan, 430205, China
| | - Qingjian Yang
- Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory of Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing, 210044, China
| | - Lijuan Shen
- School of Atmosphere and Remote Sensing, Wuxi University, Wuxi, 214105, China
| | - Dingyuan Liang
- Division of Environment and Sustainability, The Hong Kong University of Science and Technology, Hong Kong, 999077, China
| | - Chenghao Tan
- State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yuehan Luo
- Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory of Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing, 210044, China
| | - Kai Yang
- Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory of Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing, 210044, China
| | - Yuqing Zhang
- Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory of Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing, 210044, China
| | - Junyu Wang
- Key Laboratory of Meteorological Disaster, Ministry of Education/Joint International Research Laboratory of Climate and Environment Change, Nanjing University of Information Science and Technology, Nanjing, 210044, China
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Shang B, Agathokleous E, Calatayud V, Peng J, Xu Y, Li S, Liu S, Feng Z. Drought mitigates the adverse effects of O 3 on plant photosynthesis rather than growth: A global meta-analysis considering plant functional types. PLANT, CELL & ENVIRONMENT 2024; 47:1269-1284. [PMID: 38185874 DOI: 10.1111/pce.14808] [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: 05/16/2023] [Accepted: 12/21/2023] [Indexed: 01/09/2024]
Abstract
Tropospheric ozone (O3 ) is a phytotoxic air pollutant adversely affecting plant growth. High O3 exposures are often concurrent with summer drought. The effects of both stresses on plants are complex, and their interactions are not yet well understood. Here, we investigate whether drought can mitigate the negative effects of O3 on plant physiology and growth based on a meta-analysis. We found that drought mitigated the negative effects of O3 on plant photosynthesis, but the modification of the O3 effect on the whole-plant biomass by drought was not significant. This is explained by a compensatory response of water-deficient plants that leads to increased metabolic costs. Relative to water control condition, reduced water treatment decreased the effects of O3 on photosynthetic traits, and leaf and root biomass in deciduous broadleaf species, while all traits in evergreen coniferous species showed no significant response. This suggested that the mitigating effects of drought on the negative impacts of O3 on the deciduous broadleaf species were more extensive than on the evergreen coniferous ones. Therefore, to avoid over- or underestimations when assessing the impact of O3 on vegetation growth, soil moisture should be considered. These results contribute to a better understanding of terrestrial ecosystem responses under global change.
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Affiliation(s)
- Bo Shang
- Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China
- Key Laboratory of Ecosystem Carbon Source and Sink, China Meteorological Administration (ECSS-CMA), School of Ecology and Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China
| | - Evgenios Agathokleous
- Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China
- Key Laboratory of Ecosystem Carbon Source and Sink, China Meteorological Administration (ECSS-CMA), School of Ecology and Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China
| | - Vicent Calatayud
- Fundación CEAM, c/Charles R. Darwin 14, Parque Tecnológico, Paterna, Valencia, Spain
| | - Jinlong Peng
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Yansen Xu
- Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China
- Key Laboratory of Ecosystem Carbon Source and Sink, China Meteorological Administration (ECSS-CMA), School of Ecology and Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China
| | - Shuangjiang Li
- Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China
- Key Laboratory of Ecosystem Carbon Source and Sink, China Meteorological Administration (ECSS-CMA), School of Ecology and Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China
| | - Shuo Liu
- Zhejiang Carbon Neutral Innovation Institute, Zhejiang University of Technology, Hangzhou, Zhejiang, China
| | - Zhaozhong Feng
- Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China
- Key Laboratory of Ecosystem Carbon Source and Sink, China Meteorological Administration (ECSS-CMA), School of Ecology and Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China
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Zhu Y, Ma Y, Tang L, Li H, Miao C, Cao H, Tian Y. The adverse impact of maternal ozone exposure on fetal growth in utero and the interaction with residential greenness. JOURNAL OF HAZARDOUS MATERIALS 2024; 461:132562. [PMID: 37729709 DOI: 10.1016/j.jhazmat.2023.132562] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 09/10/2023] [Accepted: 09/13/2023] [Indexed: 09/22/2023]
Abstract
This study aimed to investigate the effect of maternal ozone exposure on fetal growth during pregnancy, as well as the combined effect and interaction of ozone and residential greenness. We included a total of 14990 singleton pregnancies from the Fujian Birth Cohort Study. During pregnancy, fetal growth parameters including estimated fetal weight (EFW), femur length (FL), head circumference (HC), and abdominal circumference (AC). To investigate the associations between ozone exposure and the above-mentioned outcomes, generalized estimating equation approach and generalized linear regression were used, as appropriate. In the adjusted models, we observed that the Z scores of EFW (-0.031 (-0.048, -0.014)), FL (-0.021 (-0.038, -0.004)), and AC (-0.025 (-0.042, -0.007)) decreased with per interquartile range (IQR) increase of ozone concentration. Compared to participants with low ozone exposure and high NDVI, those with high ozone exposure and low NDVI experienced the largest decrease in Z scores for EFW (-0.049 (-0.079, -0.02)), FL (-0.034 (-0.063, -0.004)), HC (-0.034 (-0.065, -0.004)), and AC (-0.041 (-0.072, -0.01)), respectively. Interestingly, we discovered the effect modification of NDVI on the relationship between ozone exposure and fetal growth restriction (P for interaction < 0.05). This study established a negative relationship of maternal ozone exposure and fetal growth. Of importance, this study discovered the joint effect and interaction between ozone and residential greenness exposure.
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Affiliation(s)
- Yibing Zhu
- Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China; Fujian Key Laboratory of Women and Children's Critical Disease Research, Fuzhou, China
| | - Yudiyang Ma
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan 430030, China; Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan 430030, China
| | - Linxi Tang
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan 430030, China; Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan 430030, China
| | - Haibo Li
- Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China; Fujian Key Laboratory of Women and Children's Critical Disease Research, Fuzhou, China
| | - Chong Miao
- Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China; Fujian Key Laboratory of Women and Children's Critical Disease Research, Fuzhou, China
| | - Hua Cao
- Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China; Fujian Key Laboratory of Women and Children's Critical Disease Research, Fuzhou, China.
| | - Yaohua Tian
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan 430030, China; Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, Wuhan 430030, China.
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Calatayud V, Diéguez JJ, Agathokleous E, Sicard P. Machine learning model to predict vehicle electrification impacts on urban air quality and related human health effects. ENVIRONMENTAL RESEARCH 2023; 228:115835. [PMID: 37019297 DOI: 10.1016/j.envres.2023.115835] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 03/31/2023] [Accepted: 04/01/2023] [Indexed: 05/16/2023]
Abstract
Air pollution is a prevailing environmental problem in cities worldwide. The future vehicle electrification (VE), which in Europe will be importantly fostered by the ban of thermal engines from 2035, is expected to have an important effect on urban air quality. Machine learning models represent an optimal tool for predicting changes in air pollutants concentrations in the context of future VE. For the city of Valencia (Spain), a XGBoost (eXtreme Gradient Boosting package) model was used in combination with SHAP (SHapley Additive exPlanations) analysis, both to investigate the importance of different factors explaining air pollution concentrations and predicting the effect of different levels of VE. The model was trained with 5 years of data including the COVID-19 lockdown period in 2020, in which mobility was strongly reduced resulting in unprecedent changes in air pollution concentrations. The interannual meteorological variability of 10 years was also considered in the analyses. For a 70% VE, the model predicted: 1) improvements in nitrogen dioxide pollution (-34% to -55% change in annual mean concentrations, for the different air quality stations), 2) a very limited effect on particulate matter concentrations (-1 to -4% change in annual means of PM2.5 and PM10), 3) heterogeneous responses in ground-level ozone concentrations (-2% to +12% change in the annual means of the daily maximum 8-h average concentrations). Even at a high VE increase of 70%, the 2021 World Health Organization Air Quality Guidelines will be exceeded for all pollutants in some stations. VE has a potentially important impact in terms of reducing NO2-associated premature mortality, but complementary strategies for reducing traffic and controlling all different air pollution sources should also be implemented to protect human health.
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Affiliation(s)
- V Calatayud
- Fundación CEAM, Parque Tecnológico, C/Charles R. Darwin, 14, Paterna, Spain.
| | - J J Diéguez
- Fundación CEAM, Parque Tecnológico, C/Charles R. Darwin, 14, Paterna, Spain
| | - E Agathokleous
- Institute of Ecology, Key Laboratory of Agrometeorology of Jiangsu Province, School of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing, 210044, China
| | - P Sicard
- ARGANS, 260 Route Du Pin Montard, Biot, France
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Cardinali M, Beenackers MA, van Timmeren A, Pottgiesser U. Preferred reporting items in green space health research. Guiding principles for an interdisciplinary field. ENVIRONMENTAL RESEARCH 2023; 228:115893. [PMID: 37054830 DOI: 10.1016/j.envres.2023.115893] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Revised: 04/10/2023] [Accepted: 04/11/2023] [Indexed: 05/16/2023]
Abstract
The relationship between green spaces and health is attracting more and more societal and research interest. The research field is however still suffering from its differing monodisciplinary origins. Now in a multidisciplinary environment on its way to a truly interdisciplinary field, there is a need for a common understanding, precision in green space indicators, and coherent assessment of the complexity of daily living environments. In several reviews, common protocols and open-source scripts are considered a high priority to advance the field. Realizing these issues, we developed PRIGSHARE (Preferred Reporting Items in Greenspace Health Research). It is accompanied by an open-source script that supports non-spatial disciplines in assessing greenness and green space on different scales and types. The PRIGSHARE checklist contains 21 items that have been identified as a risk of bias and are necessary for understanding and comparison of studies. The checklist is divided into the following topics: objectives (3 items), scope (3 items), spatial assessment (7 items), vegetation assessment (4 items), and context assessment (4 items). For each item, we include a pathway-specific (if relevant) rationale and explanation. The PRIGSHARE guiding principles should be helpful to support a high-quality assessment and synchronize the studies in the field while acknowledging the diversity of study designs.
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Affiliation(s)
- Marcel Cardinali
- Faculty of Architecture and the Built Environment, TU Delft, P.O.Box 5043, 2600GA, Delft, the Netherlands; Institute for Design Strategies, OWL University of Applied Sciences and Arts, 32756, Detmold, Germany.
| | - Mariëlle A Beenackers
- Department of Public Health, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Arjan van Timmeren
- Faculty of Architecture and the Built Environment, TU Delft, P.O.Box 5043, 2600GA, Delft, the Netherlands
| | - Uta Pottgiesser
- Faculty of Architecture and the Built Environment, TU Delft, P.O.Box 5043, 2600GA, Delft, the Netherlands; Institute for Design Strategies, OWL University of Applied Sciences and Arts, 32756, Detmold, Germany
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Sicard P, Agathokleous E, Anenberg SC, De Marco A, Paoletti E, Calatayud V. Trends in urban air pollution over the last two decades: A global perspective. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 858:160064. [PMID: 36356738 DOI: 10.1016/j.scitotenv.2022.160064] [Citation(s) in RCA: 89] [Impact Index Per Article: 44.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 11/03/2022] [Accepted: 11/04/2022] [Indexed: 06/16/2023]
Abstract
Ground-level ozone (O3), fine particles (PM2.5), and nitrogen dioxide (NO2) are the most harmful urban air pollutants regarding human health effects. Here, we aimed at assessing trends in concurrent exposure of global urban population to O3, PM2.5, and NO2 between 2000 and 2019. PM2.5, NO2, and O3 mean concentrations and summertime mean of the daily maximum 8-h values (O3 MDA8) were analyzed (Mann-Kendall test) using data from a global reanalysis, covering 13,160 urban areas, and a ground-based monitoring network (Tropospheric Ozone Assessment Report), collating surface O3 observations at nearly 10,000 stations worldwide. At global scale, PM2.5 exposures declined slightly from 2000 to 2019 (on average, - 0.2 % year-1), with 65 % of cities showing rising levels. Improvements were observed in the Eastern US, Europe, Southeast China, and Japan, while the Middle East, sub-Saharan Africa, and South Asia experienced increases. The annual NO2 mean concentrations increased globally at 71 % of cities (on average, +0.4 % year-1), with improvements in North America and Europe, and increases in exposures in sub-Saharan Africa, Middle East, and South Asia regions, in line with socioeconomic development. Global exposure of urban population to O3 increased (on average, +0.8 % year-1 at 89 % of stations), due to lower O3 titration by NO. The summertime O3 MDA8 rose at 74 % of cities worldwide (on average, +0.6 % year-1), while a decline was observed in North America, Northern Europe, and Southeast China, due to the reduction in precursor emissions. The highest O3 MDA8 increases (>3 % year-1) occurred in Equatorial Africa, South Korea, and India. To reach air quality standards and mitigate outdoor air pollution effects, actions are urgently needed at all governance levels. More air quality monitors should be installed in cities, particularly in Africa, for improving risk and exposure assessments, concurrently with implementation of effective emission control policies that will consider regional socioeconomic imbalances.
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Affiliation(s)
| | | | - Susan C Anenberg
- George Washington University, Milken Institute School of Public Health, United States
| | | | | | - Vicent Calatayud
- Fundación CEAM, Parque Tecnológico, C/Charles R. Darwin, 14, Paterna, Spain
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Agathokleous S, Saitanis CJ, Savvides C, Sicard P, Agathokleous E, De Marco A. Spatiotemporal variations of ozone exposure and its risks to vegetation and human health in Cyprus: an analysis across a gradient of altitudes. JOURNAL OF FORESTRY RESEARCH 2022; 34:579-594. [PMID: 36033836 PMCID: PMC9391650 DOI: 10.1007/s11676-022-01520-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 05/06/2022] [Indexed: 05/05/2023]
Abstract
Ground-level ozone (O3) affects vegetation and threatens environmental health when levels exceed critical values, above which adverse effects are expected. Cyprus is expected to be a hotspot for O3 concentrations due to its unique position in the eastern Mediterranean, receiving air masses from Europe, African, and Asian continents, and experiencing a warm Mediterranean climate. In Cyprus, the spatiotemporal features of O3 are poorly understood and the potential risks for forest health have not been explored. We evaluated O3 and nitrogen oxides (NO and NO2) at four regional background stations at different altitudes over 2014-2016. O3 risks to vegetation and human health were estimated by calculating accumulated O3 exposure over a threshold of 40 nmol mol-1 (AOT40) and cumulative exposure to mixing ratios above 35 nmol mol-1 (SOMO35) indices. The data reveal that mean O3 concentrations follow a seasonal pattern, with higher levels in spring (51.8 nmol mol-1) and summer (53.2 nmol mol-1) and lower levels in autumn (46.9 nmol mol-1) and winter (43.3 nmol mol-1). The highest mean O3 exposure (59.5 nmol mol-1) in summer occurred at the high elevation station Mt. Troodos (1819 m a.s.l.). Increasing (decreasing) altitudinal gradients were found for O3 (NOx), driven by summer-winter differences. The diurnal patterns of O3 showed little variation. Only at the lowest altitude O3 displayed a typical O3 diurnal pattern, with hourly differences smaller than 15 nmol mol-1. Accumulated O3 exposures at all stations and in all years exceeded the European Union's limits for the protection of vegetation, with average values of 3-month (limit: 3000 nmol mol-1 h) and 6-month (limit: 5000 nmol mol-1 h) AOT40 for crops and forests of 16,564 and 31,836 nmol mol-1 h, respectively. O3 exposures were considerably high for human health, with an average SOMO35 value of 7270 nmol mol-1 days across stations and years. The results indicate that O3 is a major environmental and public health issue in Cyprus, and policies must be adopted to mitigate O3 precursor emissions at local and regional scales.
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Affiliation(s)
- Stefanos Agathokleous
- The Cyprus Institute, Nicosia, Cyprus
- University of the Aegean, Mytilene, Lesvos Greece
| | | | - Chrysanthos Savvides
- Department of Labour Inspection, Ministry of Labour and Social Insurance, Nicosia, Cyprus
| | | | - Evgenios Agathokleous
- School of Applied Meteorology, Nanjing University of Information Science and Technology (NUIST), Nanjing, 210044 People’s Republic of China
| | - Alessandra De Marco
- National Agency for New Technologies, Energy and Sustainable Economic Development, Rome, Italy
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