| Quantifying sources of elemental carbon over the Guanzhong Basin of China: A consistent network of measurements and WRF-Chem modeling | |
| Li, Nan1; He, Qingyang2; Tie, Xuexi1,3,4; Cao, Junji1,5; Liu, Suixin1; Wang, Qiyuan1; Li, Guohui1; Huang, Rujin1,6; Zhang, Qiang7 | |
| 2016-07-01 | |
| 发表期刊 | ENVIRONMENTAL POLLUTION
 |
| 卷号 | 214期号:2016页码:86-93 |
| 文章类型 | Article |
| 摘要 | We conducted a year-long WRF-Chem (Weather Research and Forecasting Chemical) model simulation of elemental carbon (EC) aerosol and compared the modeling results to the surface EC measurements in the Guanzhong (GZ) Basin of China. The main goals of this study were to quantify the individual contributions of different EC sources to EC pollution, and to find the major cause of the EC pollution in this region. The EC measurements were simultaneously conducted at 10 urban, rural, and background sites over the GZ Basin from May 2013 to April 2014, and provided a good base against which to evaluate model simulation. The model evaluation showed that the calculated annual mean EC concentration was 5.1 mu gC m(-3), which was consistent with the observed value of 5.3 mu gC m(-3). Moreover, the model result also reproduced the magnitude of measured EC in all seasons (regression slope = 0.98-1.03), as well as the spatial and temporal variations (r = 0.55-0.78). We conducted several sensitivity studies to quantify the individual contributions of EC sources to EC pollution. The sensitivity simulations showed that the local and outside sources contributed about 60% and 40% to the annual mean EC concentration, respectively, implying that local sources were the major EC pollution contributors in the GZ Basin. Among the local sources, residential sources contributed the most, followed by industry and transportation sources. A further analysis suggested that a 50% reduction of industry or transportation emissions only caused a 6% decrease in the annual mean EC concentration, while a 50% reduction of residential emissions reduced the winter surface EC concentration by up to 25%. In respect to the serious air pollution problems (including EC pollution) in the GZ Basin, our findings can provide an insightful view on local air pollution control strategies. (C) 2016 Elsevier Ltd. All rights reserved. |
| 关键词 | Elemental Carbon Source Apportionment Wrf-chem The Guanzhong Basin |
| WOS标题词 | Science & Technology ; Life Sciences & Biomedicine |
| DOI | 10.1016/j.envpol.2016.03.046 |
| 关键词[WOS] | BLACK CARBON ; SOURCE APPORTIONMENT ; HIGH-RESOLUTION ; MIXING STATE ; AIR-QUALITY ; EMISSIONS ; AEROSOL ; WINTER ; XIAN ; PM2.5 |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS研究方向 | Environmental Sciences & Ecology |
| WOS类目 | Environmental Sciences |
| WOS记录号 | WOS:000378448600010 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.ieecas.cn/handle/361006/5722 |
| 专题 | 粉尘与环境研究室 |
| 作者单位 | 1.Chinese Acad Sci, Inst Earth Environm, Key Lab Aerosol Chem & Phys, SKLLQG, Xian 710061, Peoples R China 2.Natl Taiwan Univ, Dept Atmospher Sci, Taipei 10617, Taiwan 3.Chinese Acad Sci, Inst Urban Environm, Ctr Excellence Urban Atmospher Environm, Xiamen 361021, Peoples R China 4.Natl Ctr Atmospher Res, Boulder, CO 80303 USA 5.Xi An Jiao Tong Univ, Inst Global Environm Change, Xian 710049, Peoples R China 6.Paul Scherrer Inst, Lab Atmospher Chem, CH-5232 Villigen, Switzerland 7.Tsinghua Univ, Dept Environm Sci & Engn, Beijing 100084, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Nan,He, Qingyang,Tie, Xuexi,et al. Quantifying sources of elemental carbon over the Guanzhong Basin of China: A consistent network of measurements and WRF-Chem modeling[J]. ENVIRONMENTAL POLLUTION,2016,214(2016):86-93. |
| APA | Li, Nan.,He, Qingyang.,Tie, Xuexi.,Cao, Junji.,Liu, Suixin.,...&Zhang, Qiang.(2016).Quantifying sources of elemental carbon over the Guanzhong Basin of China: A consistent network of measurements and WRF-Chem modeling.ENVIRONMENTAL POLLUTION,214(2016),86-93. |
| MLA | Li, Nan,et al."Quantifying sources of elemental carbon over the Guanzhong Basin of China: A consistent network of measurements and WRF-Chem modeling".ENVIRONMENTAL POLLUTION 214.2016(2016):86-93. |
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| Quantifying sources （1560KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 请求全文 | |
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