| Regional characteristics of atmospheric delta S-34-SO42- over three parts of Asia monitored by quartz wool-based passive samplers | |
Wang, Xiao1,2; Li, Jun1,2,3; Sun, Rong1,2,7; Jiang, Hongxing1,2,7; Zong, Zheng4; Tian, Chongguo4 ; Xie, Luhua5; Li, Qilu6; Jia, Wanglu1; Peng, Ping'an1,2,3; Zhang, Gan1,2,3
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| 发表期刊 | SCIENCE OF THE TOTAL ENVIRONMENT
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| ISSN | 0048-9697 |
| 2021-07-15 | |
| 卷号 | 778页码:9 |
| 关键词 | China Indochina peninsula Pakistan Passive air sampler Sulfur isotopic composition Bayesian mixing model |
| DOI | 10.1016/j.scitotenv.2021.146107 |
| 通讯作者 | Li, Jun([email protected]) |
| 英文摘要 | A new method is presented for measuring atmospheric contents and delta S-34-SO42- in airborne particulate matter using quartz wool disk passive air samplers (Pas-QW). The ability of Pas-QW samplers to provide time-integrated measurements of atmospheric SO42- was confirmed in a field calibration study. The average sampling rate of SO42- measured was 2.3 +/- 0.3 m(3)/day, and this was not greatly affected by changes in meteorological parameters. The results of simultaneous sampling campaign showed that the average SO42- contents in Pakistan and the Indochina Peninsula (ICP) were relatively lower than that of China. The spatial distribution of SO42- concentrations was largely attributed to the development of the regional economies. The range of delta S-34 values observed in Pakistan (4.3 +/- 1.4 parts per thousand) and the ICP (4.5 +/- 1.2 parts per thousand) were relatively small, while a large range of delta S-34 values was observed in China (3.9 +/- 2.5 parts per thousand). The regional distribution of sulfur isotope compositions was significantly affected by coal combustion. A source analysis based on a Bayesian mixing model showed that 80.4 +/- 13.1% and 19.6 +/- 13.1% of artificial sulfur dioxide (SO2) sources in China could be attributed to coal combustion and oil combustion, respectively. The two sources differed greatly between regions, and the contribution of oil combustion in cities was higher than previously reported data obtained from emission inventories. This study confirmed that the Pas-QW is a promising tool for simultaneously monitoring atmospheric delta S-34-SO42- over large regions, and that the results of the isotope models can provide a reference for the compilation of SO2- emission inventories. (C) 2021 Elsevier B.V. All rights reserved. |
| 资助机构 | Natural Science Foundation of China (NSFC) ; State Key Laboratory of Organic Geochemistry, GIGCAS ; Guangzhou Science and Technology Project ; Guangdong Foundation for Program of Science and Technology Research ; Guangdong Provincial Science and Technology projects: GuangdongHong KongMacao Greater Bay Area Urban agglomeration ecosystem Observation and Research Station |
| 收录类别 | SCI |
| 语种 | 英语 |
| 关键词[WOS] | AIR-POLLUTION ; AEROSOL SULFATE ; ISOTOPE RATIOS ; SULFUR ; CHINA ; CLOUD ; COAL ; COMBUSTION ; DEPOSITION ; INVENTORY |
| 研究领域[WOS] | Environmental Sciences & Ecology |
| WOS记录号 | WOS:000655718500014 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.yic.ac.cn/handle/133337/29389 |
| 专题 | 中国科学院海岸带环境过程与生态修复重点实验室_海岸带环境过程实验室 中国科学院海岸带环境过程与生态修复重点实验室 |
| 通讯作者 | Li, Jun |
| 作者单位 | 1.Chinese Acad Sci, State Key Lab Organ Geochem & Guangdong Prov, Key Lab Environm Protect & Resources Utilizat, Guangzhou Inst Geochem, Guangzhou 510640, Peoples R China 2.CAS Ctr Excellence Deep Earth Sci, Guangzhou 510640, Peoples R China 3.Chinese Acad Sci, Guangzhou Inst Geochem, Guangdong Hongkong Macao Joint Lab Environm Pollu, Guangzhou 510640, Peoples R China 4.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China 5.Chinese Acad Sci, Guangzhou Inst Geochem, Key Lab Ocean & Marginal Sea Geol, Guangzhou 510640, Peoples R China 6.Henan Normal Univ, Key Lab Yellow River & Huai River Water Environm, Henan Key Lab Environm Pollut Control, Sch Environm,Minist Educ, Xinxiang 453007, Henan, Peoples R China 7.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Xiao,Li, Jun,Sun, Rong,et al. Regional characteristics of atmospheric delta S-34-SO42- over three parts of Asia monitored by quartz wool-based passive samplers[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2021,778:9. |
| APA | Wang, Xiao.,Li, Jun.,Sun, Rong.,Jiang, Hongxing.,Zong, Zheng.,...&Zhang, Gan.(2021).Regional characteristics of atmospheric delta S-34-SO42- over three parts of Asia monitored by quartz wool-based passive samplers.SCIENCE OF THE TOTAL ENVIRONMENT,778,9. |
| MLA | Wang, Xiao,et al."Regional characteristics of atmospheric delta S-34-SO42- over three parts of Asia monitored by quartz wool-based passive samplers".SCIENCE OF THE TOTAL ENVIRONMENT 778(2021):9. |
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