Assessment and quantification of NOx sources at a regional background site in North China: Comparative results from a Bayesian isotopic mixing model and a positive matrix factorization model

doi:10.1016/j.envpol.2018.08.026

	Assessment and quantification of NOx sources at a regional background site in North China: Comparative results from a Bayesian isotopic mixing model and a positive matrix factorization model
	Zong, Zheng 2,3; Tan, Yang 2; Wang, Xiaoping 3; Tian, Chongguo 2; Fang, Yunting 1; Chen, Yingjun 4; Fang, Yin 4; Han, Guangxuan 2; Li, Jun 3; Zhang, Gan 3
刊名	ENVIRONMENTAL POLLUTION
	2018-11-01
卷号	242 页码:1379-1386
关键词	NOx sources Nitrogen/oxygen isotope Bayesian isotopic mixing model PMF model
ISSN号	0269-7491
DOI	10.1016/j.envpol.2018.08.026
英文摘要	Regional sources of nitrogen oxides (NOx) in North China during summer were explored using both a Bayesian isotopic mixing model and a positive matrix factorization (PMF) model. Results showed that the nitrogen isotope (delta N-15) composition of particulate nitrate (NO3-) varied between -8.9%0 and +14.1%0, while the oxygen isotope (delta O-18) composition ranged from +57.4%0 to +93.8%0. Based on results from the Bayesian isotopic mixing model, the contribution of the hydroxyl radical (center dot OH) NOx conversion pathway showed clear diurnal fluctuation; values were higher during the day (0.53 +/- 0.16) and lower overnight (0.42 +/- 0.17). Values peaked at 06:00-12:00 and then decreased gradually until 00:00-06:00 the next day. Coal combustion (3134 +/- 9.04%) was the most significant source of NOx followed by biomass burning (25.74 +/- 2.58%), mobile sources (23.83 +/- 3.66%), and microbial processes (19.09 +/- 5.21%). PMF results indicated that the contribution from mobile sources was 19.83%, slightly lower as compared to the Bayesian model (23.83%). The PMF model also reported a lower contribution from coal combustion (28.65%) as compared to the Bayesian model (31.34%); however, the sum of biomass burning and microbial processes in the Bayesian model (44.83%) was lower than the aggregate of secondary inorganic aerosol, sea salt, and soil dust in PMF model (51.52%). Overall, differences between the two models were minor, suggesting that this study provided a reasonable source quantification for NOx in North China during summer. (C) 2018 Elsevier Ltd. All rights reserved.
资助项目	China Postdoctoral Science Foundation[2017M622815] ; Key Laboratory of Coastal Environmental Processes and Ecological Remediation of the Chinese Academy of Sciences (CAS)[2016KFJJ01] ; Natural Scientific Foundation of China (NSFC)[41471413] ; Natural Scientific Foundation of China (NSFC)[31370464]
WOS研究方向	Environmental Sciences & Ecology
语种	英语
出版者	ELSEVIER SCI LTD
WOS记录号	WOS:000446282600038
内容类型	期刊论文
源URL	[http://210.72.129.5/handle/321005/123276]
专题	中国科学院沈阳应用生态研究所
通讯作者	Tian, Chongguo
作者单位	1.Chinese Acad Sci, Inst Appl Ecol, Key Lab Forest Ecol & Management, Shenyang 110164, Liaoning, Peoples R China 2.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China 3.Chinese Acad Sci, Guangzhou Inst Geochem, State Key Lab Organ Geochem, Guangzhou 510640, Guangdong, Peoples R China 4.Tongji Univ, Coll Environm Sci & Engn, Key Lab Cities Mitigat & Adaptat Climate Change S, Shanghai 200092, Peoples R China
推荐引用方式 GB/T 7714	Zong, Zheng,Tan, Yang,Wang, Xiaoping,et al. Assessment and quantification of NOx sources at a regional background site in North China: Comparative results from a Bayesian isotopic mixing model and a positive matrix factorization model[J]. ENVIRONMENTAL POLLUTION,2018,242:1379-1386.
APA	Zong, Zheng.,Tan, Yang.,Wang, Xiaoping.,Tian, Chongguo.,Fang, Yunting.,...&Zhang, Gan.(2018).Assessment and quantification of NOx sources at a regional background site in North China: Comparative results from a Bayesian isotopic mixing model and a positive matrix factorization model.ENVIRONMENTAL POLLUTION,242,1379-1386.
MLA	Zong, Zheng,et al."Assessment and quantification of NOx sources at a regional background site in North China: Comparative results from a Bayesian isotopic mixing model and a positive matrix factorization model".ENVIRONMENTAL POLLUTION 242(2018):1379-1386.