GSTDTAP  > 气候变化
DOI10.1029/2018JD028888
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
ISSN2169-897X
EISSN2169-8996
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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