1
|
Huang X, Ge Y, Yang T, Song Z, Yu S, Li Q, Wang X, Wang Y, Wang X, Su J, Xue L, Mellouki A, Chen J. Relaxation of Spring Festival Firework Regulations Leads to a Deterioration in Air Quality. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:10185-10194. [PMID: 38804824 DOI: 10.1021/acs.est.4c00920] [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: 05/29/2024]
Abstract
The relaxation of restrictions on Chinese Spring Festival (SF) firework displays in certain regions has raised concerns due to intensive emissions exacerbating air quality deterioration. To evaluate the impacts of fireworks on air quality, a comparative investigation was conducted in a city between 2022 (restricted fireworks) and 2023 SF (unrestricted), utilizing high time-resolution field observations of particle chemical components and air quality model simulations. We observed two severe PM2.5 pollution episodes primarily triggered by firework emissions and exacerbated by static meteorology (contributing approximately 30%) during 2023 SF, contrasting with its absence in 2022. During firework displays, freshly emitted particles containing more primary inorganics (such as chloride and metals like Al, Mg, and Ba), elemental carbon, and organic compounds (including polycyclic aromatic hydrocarbons) were predominant; subsequently, aged particles with more secondary components became prevalent and continued to worsen air quality. The primary emissions from fireworks constituted 54% of the observed high PM2.5 during the displays, contributing a peak hourly PM2.5 concentration of 188 μg/m3 and representing over 70% of the ambient PM2.5. This study underscores that caution should be exercised when igniting substantial fireworks under stable meteorological conditions, considering both the primary and potential secondary effects.
Collapse
Affiliation(s)
- Xiaojuan Huang
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science & Engineering, Institute of Atmospheric Sciences, Fudan University, Shanghai 200438, China
| | - Yanzhen Ge
- Tai'an Ecological Environment Protection and Control Center, Tai'an Ecological Environment Bureau, Tai'an 271000, China
| | - Tongsuo Yang
- Shandong Academy of Environmental Sciences Co., Ltd., Jinan 250013, China
| | - Zhe Song
- Key Laboratory of Environmental Remediation and Ecological Health, Ministry of Education, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China
| | - Shaocai Yu
- School of Environmental Science and Engineering, Zhejiang Gongshang University, Hangzhou 310018, China
| | - Qing Li
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science & Engineering, Institute of Atmospheric Sciences, Fudan University, Shanghai 200438, China
| | - Xiaofei Wang
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science & Engineering, Institute of Atmospheric Sciences, Fudan University, Shanghai 200438, China
| | - Yan Wang
- School of Environmental Science and Engineering, Research Institute of Environment, Shandong University, Qingdao 266237, China
| | - Xinfeng Wang
- School of Environmental Science and Engineering, Research Institute of Environment, Shandong University, Qingdao 266237, China
| | - Jixin Su
- School of Environmental Science and Engineering, Research Institute of Environment, Shandong University, Qingdao 266237, China
| | - Likun Xue
- School of Environmental Science and Engineering, Research Institute of Environment, Shandong University, Qingdao 266237, China
| | - Abdewahid Mellouki
- Mohammed VI Polytechnic University, Lot 660, Hay Moulay Rachid Ben Guerir 43150, Morocco
| | - Jianmin Chen
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science & Engineering, Institute of Atmospheric Sciences, Fudan University, Shanghai 200438, China
- Institute of Eco-Chongming (IEC), 3663 N. Zhongshan Road, Shanghai 200062, China
| |
Collapse
|
2
|
Zhao N, Wang G, Zhu Z, Liu Z, Tian G, Liu Y, Gao W, Lang J. Impact of fireworks burning on air quality during the Spring Festival in 2021-2022 in Linyi, a central city in the North China Plain. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:17915-17925. [PMID: 36205858 DOI: 10.1007/s11356-022-23395-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 09/27/2022] [Indexed: 06/16/2023]
Abstract
The management of fireworks has been strengthened during the Spring Festival in 2022 compared with that in 2021 in Linyi, a central city in the North China Plain. Online measurements of the chemical components of PM2.5 were conducted during the Spring Festival in 2021-2022 to assess the influence of fireworks burning (FB) on air quality. Remarkable achievements have been made in improving air quality during FB period (FBP) in 2021-2022 attributing to the stringent regional emission reduction measures, fireworks control, and favorable meteorological conditions with the concentrations of PM2.5, water-soluble ions, and carbonaceous aerosols decreasing by 73.6%, 78.8%, and 73.5%, respectively. The PM2.5 concentrations increased by 96.3% during FBP compared with those during non-FB period (NFBP) in 2021, while the opposite phenomenon was observed in 2022 with PM2.5 concentrations decreasing by 56.2% because of the favorable meteorological condition during FBP in 2022. As indicators of FB, the Cl-, K+, and Mg2+ concentrations showed an increasing trend during FBP compared with that during NFBP, both in 2021 and 2022, but had little effect on other components. The contribution of FB to PM2.5 decreased from 68.4% in 2021 to 15.7% in 2022 based on the relative ratio method, indicating the various measures conducted by all districts and counties in Linyi helped achieve near zero fireworks emissions by 2022. Besides, the contribution of FB to PM2.5 showed a straight-line upward trend from 19:00 on New Year's Eve, reached its peak (76.1%) at 3:00 on Lunar New Year's Day, while the highest value was only 35.0% during FBP in 2022, indicating the implementation of fireworks ban measures in Linyi achieved a good effect on pollution peak cutting. This study has emphasized the necessity of FB restricting during special holidays.
Collapse
Affiliation(s)
- Na Zhao
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Fudan University, Shanghai, 200433, China
| | - Gang Wang
- Department of Environmental and Safety Engineering, College of Chemistry and Chemical Engineering, China University of Petroleum (East China), Qingdao, 266580, China.
| | - Zhongyi Zhu
- Department of Environmental and Safety Engineering, College of Chemistry and Chemical Engineering, China University of Petroleum (East China), Qingdao, 266580, China
| | - Zhonglin Liu
- Shandong Provincial Eco-environment Monitoring Center, Linyi, 276000, China
| | - Guangmao Tian
- Linyi Ecological Environmental Bureau, Linyi, 276007, China
| | - Yuanquan Liu
- Linyi Ecological Environmental Bureau, Linyi, 276007, China
| | - Wenkang Gao
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China
| | - Jianlei Lang
- Key Laboratory of Beijing on Regional Air Pollution Control, Beijing University of Technology, Beijing, 100124, China
| |
Collapse
|
3
|
Dataset of atmospheric concentrations of polycyclic aromatic hydrocarbons in the Memphis Tri-state Area. Data Brief 2023; 47:108923. [PMID: 36747981 PMCID: PMC9898583 DOI: 10.1016/j.dib.2023.108923] [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: 12/07/2022] [Revised: 01/12/2023] [Accepted: 01/16/2023] [Indexed: 01/22/2023] Open
Abstract
This dataset contains concentrations (in ng/m3) of 32 polycyclic aromatic hydrocarbons (PAHs) in the ambient air in the Memphis Tri-state Area (MTA). In the atmosphere, PAHs are toxic pollutants emitted from incomplete combustion sources. This monitoring campaign was conducted at 19 sites in three neighboring counties in Tennessee, Mississippi, and Arkansas, i.e., MTA, over one year. The monitoring sites represented industrial, urban, suburban, and remote land types. Total suspended particulate (TSP) samples were collected at each site using a high-volume sampler every 12 days from March 13th, 2018, to May 25th, 2019. The collection media consisted of a quartz fiber filter (QFF) and a glass thimble containing polyurethane foam (PUF) and XAD-4 resin that collected particulate- and gas-phase PAHs. Approximately 288 m3 of ambient air was drawn over 24 h. The QFF and sorbents were extracted together in an accelerated solvent extraction (ASE) system, and the extract was then nitrogen blown down to 1 ml in an automatic evaporator, and the final extract was analyzed for 32 target PAHs on a gas chromatography/mass spectrometry (GC/MS) system operated in the select-ion-monitoring (SIM) mode. The US Environmental Protection Agency (EPA) reviewed and approved the sampling and analytical protocols. The dataset also has site descriptions, sampling information, and analytical performance. This PAH dataset can be used to explore atmospheric chemistry and sources of PAHs, estimate population exposures to airborne PAHs and the associated health risks, and address environmental health disparities.
Collapse
|
4
|
Ren K, Wei Y, Li J, Han C, Deng Y, Su G. Polycyclic aromatic hydrocarbons (PAHs) and their derivatives (oxygenated PAHs, azaarenes, and sulfur / oxygen-containing heterocyclic PAHs) in surface soils from a typical city, south China. CHEMOSPHERE 2021; 283:131190. [PMID: 34157620 DOI: 10.1016/j.chemosphere.2021.131190] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 05/22/2021] [Accepted: 06/08/2021] [Indexed: 06/13/2023]
Abstract
Polycyclic aromatic hydrocarbons derivatives (dPAHs) were reported to be more mutagenic than parent analogues, however, studies that involving dPAHs in environmental samples are still limited. Thirty-six polycyclic aromatic compounds (PACs; 17 parent PAHs, 1 alkyl-PAH, 6 oxygenated PAHs, 6 azaarenes, 3 sulfur-containing heterocyclic PAHs, and 3 oxygen-containing heterocyclic PAHs) were analyzed in n = 100 surface soil samples collected from a prefecture-level city (hereafter referred to as D city) in South China, in the year 2019. Total concentrations of 36 PACs ranged from 3.61 to 4930 ng g-1 with a median concentration of 86.1 ng g-1. Regardless of functional zones, parent PAHs were the most abundant with the proportion of 78.9%, followed by oxygenated PAHs accounting for 16.8%, whereas contents of heterocyclic PAHs were far below the formers. Besides, PAHs with 4-6 rings were the most prevalent components. Among the five functional zones, industrial zone was contaminated most severely with a mean sum PAC concentration of 485 ng g-1, implying effects of long-term industrial emission. Total PAC concentrations in scenic and agricultural zones were significantly lower than those in industrial and residential zones. On the basis of PMF calculation, we proposed that traffic emission and biomass combustion could be responsible for PAC contamination. According to total lifetime cancer risk index, it suggested that there could be slightly health risks for children following exposure to PACs in some places.
Collapse
Affiliation(s)
- Kefan Ren
- Jiangsu Key Laboratory of Chemical Pollution Control and Resources Reuse, School of Environmental and Biological Engineering, Nanjing University of Science and Technology, Nanjing, 210094, PR China
| | - Yu Wei
- Jiangsu Key Laboratory of Chemical Pollution Control and Resources Reuse, School of Environmental and Biological Engineering, Nanjing University of Science and Technology, Nanjing, 210094, PR China
| | - Jianhua Li
- Jiangsu Key Laboratory of Chemical Pollution Control and Resources Reuse, School of Environmental and Biological Engineering, Nanjing University of Science and Technology, Nanjing, 210094, PR China
| | - Cunliang Han
- Guangdong Provincial Academy of Environmental Science, Guangdong Key Laboratory of Contaminated Sites Environmental Management and Remediation, Guangzhou, 510045, PR China
| | - Yirong Deng
- Guangdong Provincial Academy of Environmental Science, Guangdong Key Laboratory of Contaminated Sites Environmental Management and Remediation, Guangzhou, 510045, PR China.
| | - Guanyong Su
- Jiangsu Key Laboratory of Chemical Pollution Control and Resources Reuse, School of Environmental and Biological Engineering, Nanjing University of Science and Technology, Nanjing, 210094, PR China.
| |
Collapse
|
5
|
Li R, Zhang J, Krebs P. Consumption- and Income-Based Sectoral Emissions of Polycyclic Aromatic Hydrocarbons in China from 2002 to 2017. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2021; 55:3582-3592. [PMID: 33646755 DOI: 10.1021/acs.est.0c08119] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
China is the largest emitter of polycyclic aromatic hydrocarbons (PAHs) in the world. Because of their negative influences on human health, the characteristics and potential driving forces of PAH emissions should be evaluated to establish effective mitigation strategies for different economic sectors. This study is the first to quantify the embodied and enabled PAH emissions of 108 sectors in China in 2002, 2007, 2012, and 2017. The results show that the total sectoral emissions increased by 92% (from 28.0 to 53.7 kt) from 2002 to 2012 and decreased to 53.0 kt in 2017. The eight aggregated sectors had different characteristics according to their production-, consumption-, and income-based emissions. Both the embodied and enabled emission flows increased (from 13.8 to 29.2 kt and from 11.3 to 20.5 kt, respectively) with time. The influences of the major final demands and primary inputs reversed from increasing to decreasing emissions over time. In particular, the primary input structure had a stronger impact on decreasing emissions than the final demand structure. The results revealed that different mitigation policies should be applied to different sectors and that adjusting primary input behaviors might be a relatively efficient method to reduce PAH emissions.
Collapse
Affiliation(s)
- Ruifei Li
- Institute of Urban and Industrial Water Management, Technische Universität Dresden, 01062 Dresden, Germany
| | - Jin Zhang
- Institute of Groundwater and Earth Sciences, Jinan University, 510632 Guangzhou, China
| | - Peter Krebs
- Institute of Urban and Industrial Water Management, Technische Universität Dresden, 01062 Dresden, Germany
| |
Collapse
|