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Zhang H, Li A, Hu Z, Ren H, Zhong H, Guo J, Yun L, Zhang M. Observation on the aerosol and ozone precursors in suburban areas of Shenzhen and analysis of potential source based on MAX-DOAS. J Environ Sci (China) 2023; 132:109-121. [PMID: 37336601 DOI: 10.1016/j.jes.2022.08.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Revised: 08/18/2022] [Accepted: 08/22/2022] [Indexed: 06/21/2023]
Abstract
Long-term stereoscopic observations of aerosol, NO2, and HCHO were carried out at the Yangmeikeng (YMK) site in Shenzhen. Aerosol optical depths and NO2 vertical column concentration (NO2 VCD) derived from MAX-DOAS were found to be consistent with other datasets. The total NO2 VCD values of the site remained low, varying from 2 × 1015 to 8 × 1015 mol/cm2, while the HCHO VCD was higher than NO2 VCD, varying from 7 × 1015 to 11 × 1015 mol/cm2. HCHO VCD was higher from September to early November than that was from mid-late November to December and during February 2021, in contrast, NO2 VCD did not change much during the same period. In January, NO2 VCD and HCHO VCD were both fluctuating drastically. High temperature and HCHO level in the YMK site is not only driving the ozone production up but also may be driving up the ozone concentration as well, and the O3 production regime in the YMK site tends to be NOx-limited. At various altitudes, backward trajectory clustering analysis and Potential Source Contribution Function (PSCF) were utilized to identify possible NO2 and HCHO source locations. The results suggested that the Huizhou-Shanwei border and the Daya Bay Sea area were the key potential source locations in the lower (200 m) and middle (500 m) atmosphere (WPSCF > 0.6). The WPSCF value was high at the 1000 m altitude which was closer to the YMK site than the near ground, indicating that the pollution transport capability in the upper atmosphere was limited.
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Affiliation(s)
- Hairong Zhang
- Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China; University of Science and Technology of China, Hefei 230026, China
| | - Ang Li
- Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China.
| | - Zhaokun Hu
- Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
| | - Hongmei Ren
- Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China; University of Science and Technology of China, Hefei 230026, China
| | - Hongyan Zhong
- Institutes of Physical Science and Information Technology, Anhui University, Hefei 230601, China
| | - Jianfeng Guo
- Shenzhen Environmental Monitoring Center Station, Shenzhen 518049, China
| | - Long Yun
- Shenzhen Environmental Monitoring Center Station, Shenzhen 518049, China
| | - Mingdi Zhang
- Shenzhen Environmental Monitoring Center Station, Shenzhen 518049, China
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Park J, Kim H, Kim Y, Heo J, Kim SW, Jeon K, Yi SM, Hopke PK. Source apportionment of PM 2.5 in Seoul, South Korea and Beijing, China using dispersion normalized PMF. Sci Total Environ 2022; 833:155056. [PMID: 35395292 DOI: 10.1016/j.scitotenv.2022.155056] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 03/18/2022] [Accepted: 04/01/2022] [Indexed: 06/14/2023]
Abstract
East Asian countries experience severe air pollution owing to their rapid development and urbanization induced by substantial economic activities. South Korea and China are among the most polluted East Asian countries with high mass concentrations of PM2.5. Although the occurrence of transboundary air pollution among neighboring countries has been recognized for a long time, studies involving simultaneous ground-based PM2.5 monitoring and source apportionment in South Korea and China have not been conducted to date. This study performed simultaneous daily ground-based monitoring of PM2.5 in Seoul and Beijing from January to December 2019. The mass concentrations of PM2.5 and its major chemical components were analyzed simultaneously during 2019. Positive matrix factorization (PMF) as well as dispersion normalized PMF (DN-PMF) were utilized for the source apportionment of ambient PM2.5 at the two sites. 23 h average ventilation coefficients were applied for daily PM2.5 chemical constituents' data. Nine sources were identified at both sites. While secondary nitrate, secondary sulfate, mobile, oil combustion, biomass burning, soil, and aged sea salt were commonly found at both sites, industry/coal combustion and incinerator were identified only at Seoul and incinerator/industry and coal combustion were identified only at Beijing. Reduction of the meteorological influences were found in DN-PMF compare to C-PMF but the effects of DN on mobile source were reduced by averaging over the 23 h sampling period. The DN-PMF results showed that Secondary nitrate (Seoul: 25.5%; Beijing: 31.7%) and secondary sulfate (Seoul: 20.5%; Beijing: 17.6%) were most dominant contributors to PM2.5 at both sites. Decreasing secondary sulfate contributions and increasing secondary nitrate contributions were observed at both sites.
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Affiliation(s)
- Jieun Park
- Institute of Health and Environment, Seoul National University, Seoul, Republic of Korea
| | - Hyewon Kim
- Korea Conformity Laboratories, Seoul, Republic of Korea
| | - Youngkwon Kim
- Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea
| | - Jongbae Heo
- Busan Development Institute, Busan, Republic of Korea
| | - Sang-Woo Kim
- School of Earth and Environmental Sciences, Seoul National University, Seoul, Republic of Korea
| | - Kwonho Jeon
- Climate and Air Quality Research, Department Global Environment Research Division, National Institute of Environmental Research, Incheon, Republic of Korea
| | - Seung-Muk Yi
- Institute of Health and Environment, Seoul National University, Seoul, Republic of Korea; Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea.
| | - Philip K Hopke
- Institute for a Sustainable Environment, Clarkson University, Potsdam, NY 13699, USA; Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY 14642, USA
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Li C, Li Q, Tong D, Wang Q, Wu M, Sun B, Su G, Tan L. Environmental impact and health risk assessment of volatile organic compound emissions during different seasons in Beijing. J Environ Sci (China) 2020; 93:1-12. [PMID: 32446444 DOI: 10.1016/j.jes.2019.11.006] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2019] [Revised: 11/06/2019] [Accepted: 11/07/2019] [Indexed: 06/11/2023]
Abstract
Volatile organic compounds (VOCs) are major contributors to air pollution. Based on the emission characteristics of 99 VOCs that daily measured at 10 am in winter from 15 December 2015 to 17 January 2016 and in summer from 21 July to 25 August 2016 in Beijing, the environmental impact and health risk of VOC were assessed. In the winter polluted days, the secondary organic aerosol formation potential (SOAP) of VOC (199.70 ± 15.05 μg/m3) was significantly higher than that on other days. And aromatics were the primary contributor (98.03%) to the SOAP during the observation period. Additionally, the result of the ozone formation potential (OFP) showed that ethylene contributed the most to OFP in winter (26.00% and 27.64% on the normal and polluted days). In summer, however, acetaldehyde was the primary contributor to OFP (22.00% and 21.61% on the normal and polluted days). Simultaneously, study showed that hazard ratios and lifetime cancer risk values of acrolein, chloroform, benzene, 1,2-dichloroethane, acetaldehyde and 1,3-butadiene exceeded the thresholds established by USEPA, thereby presenting a health risk to the residents. Besides, the ratio of toluene-to-benzene indicated that vehicle exhausts were the main source of VOC pollution in Beijing. The ratio of m-/p-xylene-to-ethylbenzene demonstrated that there were more prominent atmospheric photochemical reactions in summer than that in winter. Finally, according to the potential source contribution function (PSCF) results, compared with local pollution sources, the spread of pollution from long-distance VOCs had a greater impact on Beijing.
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Affiliation(s)
- Chuanqi Li
- Key Laboratory of Environmental Nanotechnology and Health Effects, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences Beijing 100085, China; State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Qianqian Li
- Key Laboratory of Environmental Nanotechnology and Health Effects, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Dongge Tong
- State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China
| | - Qingliang Wang
- Key Laboratory of Environmental Nanotechnology and Health Effects, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences Beijing 100085, China; State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Mingge Wu
- Key Laboratory of Environmental Nanotechnology and Health Effects, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Bohua Sun
- Key Laboratory of Environmental Nanotechnology and Health Effects, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Guijin Su
- Key Laboratory of Environmental Nanotechnology and Health Effects, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Li Tan
- China National Environmental Monitoring Center (CNEMC), Beijing 100012, China.
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Song M, Liu X, Tan Q, Feng M, Qu Y, An J, Zhang Y. Characteristics and formation mechanism of persistent extreme haze pollution events in Chengdu, southwestern China. Environ Pollut 2019; 251:1-12. [PMID: 31071625 DOI: 10.1016/j.envpol.2019.04.081] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2018] [Revised: 04/16/2019] [Accepted: 04/16/2019] [Indexed: 06/09/2023]
Abstract
Extreme PM2.5 and nonmethane hydrocarbon (NMHC) pollution often occurs simultaneously during the winter. To study the formation mechanism of two pollution events in Chengdu from 23 December 2016 to 31 January 2017, we explored the weather conditions, chemical composition, secondary pollutant conversion, aerosol hygroscopic growth, and potential source contribution function (PSCF) during this period. During the study period, the humidity was high (67.9%), the wind speed was low (1.0 m s-1), the height of the planetary boundary layer was low (463.4 m), and the atmosphere remained stationary. The potential source regions of PM2.5 and NMHCs were locally polluted sites in the southwestern and southern regions of Chengdu, affected by the southwesterly air mass trajectories. PM2.5 and sulfur oxidation ratios (SOR), nitrogen oxidation ratios (NOR) and secondary organic aerosol formation potential (SOAP) showed a strong positive correlation. As pollution increased, the conversion from SO2, NOx and NMHCs to sulfate, nitrate and SOAs increased, resulting in an increase in the secondary aerosol concentration. As the relative humidity increases, aerosols begin to undergo rapid hygroscopic growth, which seriously affects the visibility of the atmosphere. In general, pollutant emissions, static weather, and secondary conversion, among other factors, lead to the occurrence of this persistent extreme haze pollution.
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Affiliation(s)
- Mengdi Song
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China
| | - Xingang Liu
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China.
| | - Qinwen Tan
- Chengdu Academy of Environmental Sciences, Chengdu, 610072, China
| | - Miao Feng
- Chengdu Academy of Environmental Sciences, Chengdu, 610072, China
| | - Yu Qu
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China
| | - Junling An
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China
| | - Yuanhang Zhang
- College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China
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Zhao M, Qiao T, Huang Z, Zhu M, Xu W, Xiu G, Tao J, Lee S. Comparison of ionic and carbonaceous compositions of PM2.5 in 2009 and 2012 in Shanghai, China. Sci Total Environ 2015; 536:695-703. [PMID: 26254070 DOI: 10.1016/j.scitotenv.2015.07.100] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2015] [Revised: 07/17/2015] [Accepted: 07/21/2015] [Indexed: 06/04/2023]
Abstract
Daily PM2.5 samples were obtained at the site of East China University of Science and Technology (ECUST) in urban Shanghai during 2009-2010 and 2011-2012. The temporal variations of PM2.5 and its chemical compositions including secondary inorganic aerosol (SIA) and carbonaceous components were studied. The concentrations of PM2.5 were (94.04±52.17) μg/m3 and (68.44±41.57) μg/m3 in 2009 and 2012, respectively. The concentrations and contributions of SIA to PM2.5 were significantly higher in 2012 than those in 2009. Sulfate took up above 50% of SIA in 2009 and the corresponding value decreased to 41% in 2012. The increasing trend of NO3-/SO4(2-) mass ratio implied that the contributions of mobile sources were more and more important. The molar ratios of [NH4+]/(2[SO4(2-)]+[NO3-]) were 0.57 and 0.70, lower than 1, which demonstrated that most aerosol samples were ammonium-poor. But the neutralization process of ammonium might affect the formation of sulfate and nitrate, which was indicated by the strong correlation between [NH4+]-[SO4(2-)] and [NH4+]-[NO3-]. The average molar ratio of ammonium to sulfate was 1.74 in 2009, so there was not enough ammonium to neutralize sulfate sufficiently. The higher value of 2.30 in 2012 indicated that sulfate was sufficiently neutralized by ammonium and the predominant production was (NH4)2SO4. Aerosol samples had higher char-EC/soot-EC ratios and lower OC/EC ratios in 2009 than those of samples in 2012. The higher K+/OC values demonstrated that biomass burning made important contributions to carbonaceous components in both 2009 and 2012. All backward trajectories were grouped into four clusters, mainly from the Northwest, the Circum-Bohai-Sea Region (CBSR), the Southwest and the Southeast. The cluster from the Northwest was the most polluted pathway in 2009, while the cluster from the CBSR had more effects in 2012. PSCF model for PM2.5 and carbonaceous components except soot-EC suggested that the Yangtze River Delta Region (YRDR) made significant contributions by short-range transportation in 2009 and 2012. The Northwest, the CBSR and the Pearl River Delta Region (PRDR) were also the potential source areas. However, the source pattern of soot-EC was significantly different from those of other carbonaceous components.
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Affiliation(s)
- Mengfei Zhao
- State Environment Protection Key Laboratory on Environmental Risk Assessment and Control on Chemical Processes, East China University of Science & Technology, Shanghai 200237, China
| | - Ting Qiao
- State Environment Protection Key Laboratory on Environmental Risk Assessment and Control on Chemical Processes, East China University of Science & Technology, Shanghai 200237, China
| | - Zhongsi Huang
- State Environment Protection Key Laboratory on Environmental Risk Assessment and Control on Chemical Processes, East China University of Science & Technology, Shanghai 200237, China
| | - Mengya Zhu
- State Environment Protection Key Laboratory on Environmental Risk Assessment and Control on Chemical Processes, East China University of Science & Technology, Shanghai 200237, China
| | - Wei Xu
- State Environment Protection Key Laboratory on Environmental Risk Assessment and Control on Chemical Processes, East China University of Science & Technology, Shanghai 200237, China
| | - Guangli Xiu
- State Environment Protection Key Laboratory on Environmental Risk Assessment and Control on Chemical Processes, East China University of Science & Technology, Shanghai 200237, China; Australia-China Centre for Air Quality Science and Management (ACC-AQSM), China
| | - Jun Tao
- Ministry of South China Environmental Science Research Institute, Guangzhou, China
| | - Shuncheng Lee
- Department of Civil and Structural Engineering, Research Center for Environmental Technology and Management, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China
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