Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2018JD028888 |
Estimating the Contribution of Local Primary Emissions to Particulate Pollution Using High-Density Station Observations | |
Zhao, Chuanfeng1,2,3; Wang, Yuan3,4; Shi, Xiaoqin1,2; Zhang, Daizhou5; Wang, Chunying6; Jiang, Jonathan H.4; Zhang, Qiang7; Fan, Hao1,2 | |
2019-02-16 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
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ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2019 |
卷号 | 124期号:3页码:1648-1661 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China; USA; Japan |
英文摘要 | Local primary emission, transport, and secondary formation of aerosols constitute the major atmospheric particulate matter (PM) over a certain region. To identify and quantify major sources of ambient PM is important for pollution mitigation strategies, especially on a city scale. We developed two source apportionment methods to make the first-order estimates of local primary contribution ratio (LCR) of PM2.5 (PM with diameter less than 2.5m) using the high-density (about 1/km(2)) network observations with high sampling frequency (about 1hr). Measurements of PM2.5 mass concentration from 169 sites within a 20kmx20km domain are analyzed. The two methods developed here are mainly based on the spatial and temporal variations of PM2.5 within an urban area. The accuracy of our developed methods is subject to the assumptions on the spatial heterogeneity of primary and secondary formed aerosols as well as those from long-range transport to a city. We apply these two methods to a typical industrial city in China in winter of 2015 with frequent severe haze events. The local primary pollution contributions calculated from the two methods agree with each other that they are often larger than 0.4. The LCR range is from 0.4 to 0.7, with an average value of 0.63. Our study indicates the decisive role of locally emitted aerosols in the urban severe haze formation during the winter time. It further suggests that reductions of local primary aerosol emissions are essential to alleviate the severe haze pollution, especially in industrial cities. |
英文关键词 | PM2 5 local primary emission severe haze high-density stations spatial-temporal analysis |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000459377000027 |
WOS关键词 | SOURCE APPORTIONMENT ; AIR-QUALITY ; ORGANIC AEROSOL ; REGIONAL TRANSPORT ; HAZE POLLUTION ; WINTER HAZE ; PM2.5 ; SECONDARY ; CHINA ; HEBEI |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/32901 |
专题 | 气候变化 |
作者单位 | 1.Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing, Peoples R China; 2.Beijing Normal Univ, Coll Global Change & Earth Syst Sci, Beijing, Peoples R China; 3.CALTECH, Div Geol & Planetary Sci, Pasadena, CA 91125 USA; 4.CALTECH, Jet Prop Lab, 4800 Oak Grove Dr, Pasadena, CA 91125 USA; 5.Prefectural Univ Kumamoto, Fac Environm & Symbiot Sci, Kumamoto, Japan; 6.Hebei Sailhero Environm Protect Hitech Ltd, Shijiazhuang, Hebei, Peoples R China; 7.Tsinghua Univ, Dept Earth Syst Sci, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Zhao, Chuanfeng,Wang, Yuan,Shi, Xiaoqin,et al. Estimating the Contribution of Local Primary Emissions to Particulate Pollution Using High-Density Station Observations[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2019,124(3):1648-1661. |
APA | Zhao, Chuanfeng.,Wang, Yuan.,Shi, Xiaoqin.,Zhang, Daizhou.,Wang, Chunying.,...&Fan, Hao.(2019).Estimating the Contribution of Local Primary Emissions to Particulate Pollution Using High-Density Station Observations.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,124(3),1648-1661. |
MLA | Zhao, Chuanfeng,et al."Estimating the Contribution of Local Primary Emissions to Particulate Pollution Using High-Density Station Observations".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 124.3(2019):1648-1661. |
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