Zong, Zheng; Tan, Yang
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发表期刊ENVIRONMENT INTERNATIONAL
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ISSN0160-4120
2020-04
卷号137页码:UNSP 105592
关键词REGIONAL BACKGROUND SITECARBONACEOUS AEROSOLSHAZE POLLUTIONTHEORETICAL CALCULATIONFRACTIONATION FACTORSEMISSION INVENTORYNITROGENNITRATEPM2.5RADIOCARBON
研究领域Environmental Sciences
DOI10.1016/j.envint.2020.105592
产权排序[Zong, Zheng; Wang, Xiao; Li, Jun; Zhang, Gan] Chinese Acad Sci, Guangzhou Inst Geochem, State Key Lab Organ Geochem, Guangzhou 510640, Peoples R China; [Zong, Zheng; Wang, Xiao; Li, Jun; Zhang, Gan] Chinese Acad Sci, Guangzhou Inst Geochem, Guangdong Key Lab Environm Protect & Resources Ut, Guangzhou 510640, Peoples R China; [Zong, Zheng; Tan, Yang; Tian, Chongguo] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China; [Zong, Zheng; Tan, Yang; Tian, Chongguo] Chinese Acad Sci, Ctr Ocean Megasci, Beijing, Peoples R China; [Fang, Yunting] Chinese Acad Sci, Inst Appl Ecol, Key Lab Forest Ecol & Management, Shenyang 110164, Peoples R China; [Chen, Yingjun] Fudan Univ, Dept Environm Sci & Engn, Shanghai Key Lab Atmospher Particle Pollut & Prev, Shanghai 200092, Peoples R China; [Cui, Song] Northeast Agr Univ, IJRC PTS, Sch Water Conservancy & Civil Engn, Harbin 150030, Peoples R China
通讯作者Tian, Chongguo(cgtian@yic.ac.cn); Li, Jun(lijun@gig.ac.cn)
作者部门海岸带环境过程实验室
英文摘要In China, nitrate (NO3-) becomes the main contributor to fine particles (PM2.5) because the emissions of its precursor, nitrogen oxides (NOx), were not recognized and controlled well in recent years. In this work, sources, conversion, and geographical origin of NOx were interpreted combining the isotopic information (delta N-15 and delta O-18) of NO3- and dual modelling at five Chinese megacities (Beijing, Shanghai, Guangzhou, Wuhan and Chengdu) during 2013-2014. Results showed that the delta N-15-NO3- values (n = 512) ranged from -12.3 parts per thousand to +22.9 parts per thousand, and the average delta O-18-NO3- value was +83.4 parts per thousand +/- 17.2 parts per thousand. The isotopic compositions both had a rising tendency as ambient temperature dropped, attributing largely to the source changes. Bayesian model indicated the percentage for the center dot OH pathway of NOx conversion had a clear seasonal variation with a higher value during summer (58.0% +/- 9.82%) and a lower value during winter (11.1% +/- 3.99%); it was also significantly correlated with latitude (p < 0.01). Coal combustion was the most important source of NOx (31.1%-41.0%), which was geographically derived from North China and other south-central developed regions implied by Potential Source Contribution Function (PSCF). Apart from Chengdu, mobile sources was the second largest contributor to NOx. This source was extensive but uniformly distributed all around the typical urban agglomerations of China. Biomass burning and microbial processes shared similar source areas, mostly originating from the North China Plain and Sichuan Basin. Based on the NOx features, we infer that residential coal combustion was the primary source of heavy PM2.5 pollution in Chinese megacities. Controlling the source categories of these regional priorities would help mitigate atmospheric pollution in these areas.
文章类型Article
资助机构China Postdoctoral Science FoundationChina Postdoctoral Science Foundation [2017LH020, 2017M622815]; Natural Scientific Foundation of China (NSFC)National Natural Science Foundation of China [41977190, 41907198]; Guangdong Foundation for Program of Science and Technology Research [2017B030314057]
收录类别SCI
语种英语
关键词[WOS]REGIONAL BACKGROUND SITE; CARBONACEOUS AEROSOLS; HAZE POLLUTION; THEORETICAL CALCULATION; FRACTIONATION FACTORS; EMISSION INVENTORY; NITROGEN; NITRATE; PM2.5; RADIOCARBON
研究领域[WOS]Environmental Sciences & Ecology
WOS记录号WOS:000517970800024
引用统计被引频次:26[WOS][WOS记录][WOS相关记录]
文献类型期刊论文
条目标识符http://ir.yic.ac.cnhttp://ir.yic.ac.cn/handle/133337/25059
专题中科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
中科院海岸带环境过程与生态修复重点实验室
作者单位1.Chinese Acad Sci, Guangzhou Inst Geochem, State Key Lab Organ Geochem, Guangzhou 510640, Peoples R China;
2.Chinese Acad Sci, Guangzhou Inst Geochem, Guangdong Key Lab Environm Protect & Resources Ut, Guangzhou 510640, Peoples R China;
3.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China;
4.Chinese Acad Sci, Ctr Ocean Megasci, Beijing, Peoples R China;
5.Chinese Acad Sci, Inst Appl Ecol, Key Lab Forest Ecol & Management, Shenyang 110164, Peoples R China;
6.Fudan Univ, Dept Environm Sci & Engn, Shanghai Key Lab Atmospher Particle Pollut & Prev, Shanghai 200092, Peoples R China;
7.Northeast Agr Univ, IJRC PTS, Sch Water Conservancy & Civil Engn, Harbin 150030, Peoples R China
推荐引用方式
GB/T 7714Zong, Zheng,Tan, Yang,Wang, Xiao,et al. Dual-modelling-based source apportionment of NOx in five Chinese megacities: Providing the isotopic footprint from 2013 to 2014[J]. ENVIRONMENT INTERNATIONAL,2020,137:UNSP 105592.
APAZong, Zheng.,Tan, Yang.,Wang, Xiao.,Tian, Chongguo.,Li, Jun.,...&Zhang, Gan.(2020).Dual-modelling-based source apportionment of NOx in five Chinese megacities: Providing the isotopic footprint from 2013 to 2014.ENVIRONMENT INTERNATIONAL,137,UNSP 105592.
MLAZong, Zheng,et al."Dual-modelling-based source apportionment of NOx in five Chinese megacities: Providing the isotopic footprint from 2013 to 2014".ENVIRONMENT INTERNATIONAL 137(2020):UNSP 105592.
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