Dual-modelling-based source apportionment of NOx in five Chinese megacities: Providing the isotopic footprint from 2013 to 2014
Zong, Zheng; Tan, Yang; Wang, Xiao; Tian, Chongguo; Li, Jun; Fang, Yunting; Chen, Yingjun; Cui, Song; Zhang, Gan
刊名ENVIRONMENT INTERNATIONAL
2020-04
卷号137页码:UNSP 105592
关键词REGIONAL BACKGROUND SITE CARBONACEOUS AEROSOLS HAZE POLLUTION THEORETICAL CALCULATION FRACTIONATION FACTORS EMISSION INVENTORY NITROGEN NITRATE PM2.5 RADIOCARBON
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
文献子类Article
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.
WOS关键词REGIONAL BACKGROUND SITE ; CARBONACEOUS AEROSOLS ; HAZE POLLUTION ; THEORETICAL CALCULATION ; FRACTIONATION FACTORS ; EMISSION INVENTORY ; NITROGEN ; NITRATE ; PM2.5 ; RADIOCARBON
语种英语
WOS记录号WOS:000517970800024
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]
内容类型期刊论文
源URL[http://ir.yic.ac.cn/handle/133337/25059]  
专题烟台海岸带研究所_近岸生态与环境实验室
烟台海岸带研究所_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, Inst Appl Ecol, Key Lab Forest Ecol & Management, Shenyang 110164, Peoples R China;
2.Northeast Agr Univ, IJRC PTS, Sch Water Conservancy & Civil Engn, Harbin 150030, Peoples R China
3.Fudan Univ, Dept Environm Sci & Engn, Shanghai Key Lab Atmospher Particle Pollut & Prev, Shanghai 200092, Peoples R China;
4.Chinese Acad Sci, Guangzhou Inst Geochem, State Key Lab Organ Geochem, Guangzhou 510640, Peoples R China;
5.Chinese Acad Sci, Guangzhou Inst Geochem, Guangdong Key Lab Environm Protect & Resources Ut, Guangzhou 510640, Peoples R China;
6.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China;
7.Chinese Acad Sci, Ctr Ocean Megasci, Beijing, Peoples R China;
推荐引用方式
GB/T 7714
Zong, 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.
APA Zong, 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.
MLA Zong, 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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