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; Tan, Yang; Wang, Xiaoping; Tian, Chongguo; Fang, Yunting; Chen, Yingjun; Fang, Yin; Han, Guangxuan; Li, Jun; Zhang, Gan
发表期刊ENVIRONMENTAL POLLUTION
ISSN0269-7491
2018-11
卷号242期号:B页码:1379-1386
关键词NOx sources Nitrogen/oxygen isotope Bayesian isotopic mixing model PMF model
研究领域Environmental Sciences & Ecology
DOI10.1016/j.envpol.2018.08.026
产权排序[Zong, Zheng; Tan, Yang; Tian, Chongguo; Han, Guangxuan] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China; [Zong, Zheng; Wang, Xiaoping; Li, Jun; Zhang, Gan] Chinese Acad Sci, Guangzhou Inst Geochem, State Key Lab Organ Geochem, Guangzhou 510640, Guangdong, Peoples R China; [Fang, Yunting] Chinese Acad Sci, Inst Appl Ecol, Key Lab Forest Ecol & Management, Shenyang 110164, Liaoning, Peoples R China; [Chen, Yingjun; Fang, Yin] Tongji Univ, Coll Environm Sci & Engn, Key Lab Cities Mitigat & Adaptat Climate Change S, Shanghai 200092, Peoples R China
作者部门海岸带环境过程实验室
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.
文章类型Article
资助机构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, 31370464]
收录类别SCI
语种英语
关键词[WOS]ATMOSPHERIC NITRATE DEPOSITION ; SOURCE APPORTIONMENT ; CARBONACEOUS AEROSOLS ; CHEMICAL-CHARACTERIZATION ; PARTICULATE MATTER ; NITROGEN ISOTOPES ; SOUTHERN CHINA ; UNITED-STATES ; HAZE EVENTS ; BOHAI RIM
研究领域[WOS]Environmental Sciences
WOS记录号WOS:000446282600038
引用统计
被引频次:27[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.cn/handle/133337/24559
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
作者单位1.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China;
2.Chinese Acad Sci, Guangzhou Inst Geochem, State Key Lab Organ Geochem, Guangzhou 510640, Guangdong, Peoples R China;
3.Chinese Acad Sci, Inst Appl Ecol, Key Lab Forest Ecol & Management, Shenyang 110164, Liaoning, Peoples R China;
4.Tongji Univ, Coll Environm Sci & Engn, Key Lab Cities Mitigat & Adaptat Climate Change S, Shanghai 200092, Peoples R China
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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(B):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(B),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.B(2018):1379-1386.
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