Ambient concentration and dry deposition of major inorganic nitrogen species at two urban sites in Sichuan Basin, China
文献类型:期刊论文
作者 | Wang, Huanbo1; Yang, Fumo1,2![]() |
刊名 | ENVIRONMENTAL POLLUTION
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出版日期 | 2016-12-01 |
卷号 | 219页码:235-244 |
关键词 | Inferential Deposition Model Atmospheric Nitrogen Oxidized Nitrogen Reduced Nitrogen Dry And Wet Deposition |
ISSN号 | 0269-7491 |
DOI | 10.1016/j.envpol.2016.10.016 |
英文摘要 | To assess pollution levels of major inorganic nitrogen species and their atmospheric deposition input to sensitive ecosystems in Sichuan Basin, southwest China, ambient concentrations of oxidized (NOy similar to NO2, HNO3, NO3-) and reduced (NHx = NH3, NH4+) nitrogen species were collected at two urban sites during four one-month periods, each in a different season from July 2014 to April 2015. Estimated annual mean concentration of NOy was 20.3 and 13.5 mu g N m(-3) in Chengdu and Wanzhou, respectively, and NHx was 16.9 and 13.6 mu g N m(-3), respectively. Back trajectory cluster analysis indicated that high levels of NOy and NHx in Chengdu were mainly caused by local emissions while those in Wanzhou were caused by both the local emissions and long-range transport of pollutants. On annual basis, NO2 contributed the most to NOy, followed by NO3- and HNO3, accounting for 87.5%, 10.5% and 2.0%, respectively, of NOy in Chengdu, and 91.4%, 6.9% and 1.7%, respectively, in Wanzhou. NH3 was the predominant contributor to contributing 65.6% and 72.2% in Chengdu and Wanzhou, respectively. Dry deposition fluxes were estimated using the inferential method with measured ambient concentrations and modelled dry deposition velocities. The total inorganic nitrogen dry deposition flux was estimated to be 21.4 and 8.5 kg N ha(-1) yr(-1), with 44.3% and 41.4% from NOy in Chengdu and Wanzhou, respectively. NO2 and NH3 each contributed about 80% of NOy and NHx dry deposition, respectively. Wet deposition was only collected in Wanzhou, where the annual wet deposition of NO3- and NH4+ was 4.5 and 15.7 kg N ha(-1) yr(-1),. respectively. The total wet plus dry deposition was 28.7 kg N ha(-1) yr(-1) in Wanzhou with 72.2% from reduced nitrogen. Therefore, controlling NH3 emissions from agricultural, traffic, waste containers and sewage system sources would be effective to reduce the total nitrogen deposition in the Sichuan Basin area. (C) 2016 Elsevier Ltd. All rights reserved. |
资助项目 | National Natural Science Foundation of China[41375123] ; National Natural Science Foundation of China[41405027] ; National Natural Science Foundation of China[41403089] ; West Action Plan of the Chinese Academy of Science[KZCX2-XB3-14] ; Chongqing Science and Technology Commission[cstc2014yykfC20003] ; Chongqing Science and Technology Commission[cstckjcxljrc13] |
WOS研究方向 | Environmental Sciences & Ecology |
语种 | 英语 |
WOS记录号 | WOS:000390734100028 |
出版者 | ELSEVIER SCI LTD |
源URL | [http://119.78.100.138/handle/2HOD01W0/3196] ![]() |
专题 | 大气环境研究中心 |
作者单位 | 1.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Ctr Atmospher Environm, Chongqing 400714, Peoples R China 2.Chinese Acad Sci, Inst Urban Environm, CAS Ctr Excellence Reg Atmospher Environm, Xiamen 361021, Peoples R China 3.Environm & Climate Change Canada, Sci & Technol Branch, Air Qual Res Div, Toronto, ON M3H 5T4, Canada 4.Chongqing Three Gorges Univ, Key Lab Water Environm Evolut & Pollut Control Th, Chongqing 404100, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, Huanbo,Yang, Fumo,Shi, Guangming,et al. Ambient concentration and dry deposition of major inorganic nitrogen species at two urban sites in Sichuan Basin, China[J]. ENVIRONMENTAL POLLUTION,2016,219:235-244. |
APA | Wang, Huanbo.,Yang, Fumo.,Shi, Guangming.,Tian, Mi.,Zhang, Leiming.,...&Fu, Chuan.(2016).Ambient concentration and dry deposition of major inorganic nitrogen species at two urban sites in Sichuan Basin, China.ENVIRONMENTAL POLLUTION,219,235-244. |
MLA | Wang, Huanbo,et al."Ambient concentration and dry deposition of major inorganic nitrogen species at two urban sites in Sichuan Basin, China".ENVIRONMENTAL POLLUTION 219(2016):235-244. |
入库方式: OAI收割
来源:重庆绿色智能技术研究院
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