Statistical evaluation of the feasibility of satellite-retrieved cloud parameters as indicators of PM2.5 levels
文献类型：期刊论文
| 作者 | Yu, Chao1; Di Girolamo, Larry1; Chen, Liangfu1; Zhang, Xueying1; Liu, Yang1 |
| 刊名 | JOURNAL OF EXPOSURE SCIENCE AND ENVIRONMENTAL EPIDEMIOLOGY
 |
| 出版日期 | 2015 |
| 卷号 | 25期号:5页码:389-403 |
| 关键词 | PM2.5 MODIS SEARCH network aerosol optical depth cloud fraction cloud optical thickness |
| 通讯作者 | Liu, Y (reprint author), Emory Univ, Dept Environm Hlth, Rollins Sch Publ Hlth, 1518 Clifton Rd NE, Atlanta, GA 30322 USA. |
| 英文摘要 | The spatial and temporal characteristics of fine particulate matter (PM2.5, particulate matter <2.5 mu m in aerodynamic diameter) are increasingly being studied from satellite aerosol remote sensing data. However, cloud cover severely limits the coverage of satellite-driven PM2.5 models, and little research has been conducted on the association between cloud properties and PM2.5 levels. In this study, we analyzed the relationships between ground PM2.5 concentrations and two satellite-retrieved cloud parameters using data from the Southeastern Aerosol Research and Characterization (SEARCH) Network during 2000-2010. We found that both satellite-retrieved cloud fraction (CF) and cloud optical thickness (COT) are negatively associated with PM2.5 levels. PM2.5 speciation and meteorological analysis suggested that the main reason for these negative relationships might be the decreased secondary particle generation. Stratified analyses by season, land use type, and site location showed that seasonal impacts on this relationship are significant. These associations do not vary substantially between urban and rural sites or inland and coastal sites. The statistically significant negative associations of PM2.5 mass concentrations with CF and COT suggest that satellite-retrieved cloud parameters have the potential to serve as predictors to fill the data gap left by satellite aerosol optical depth in satellite-driven PM2.5 models. |
| 研究领域[WOS] | Environmental Sciences ; Public, Environmental & Occupational Health ; Toxicology |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000360185900002 |
| 源URL | [http://ir.ceode.ac.cn/handle/183411/38126]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1.[Yu, Chao 2.Chen, Liangfu] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing, Peoples R China 3.[Yu, Chao 4.Zhang, Xueying 5.Liu, Yang] Emory Univ, Dept Environm Hlth, Rollins Sch Publ Hlth, Atlanta, GA 30322 USA 6.[Yu, Chao] Univ Chinese Acad Sci, Beijing, Peoples R China 7.[Di Girolamo, Larry] Univ Illinois, Dept Atmospher Sci, Urbana, IL USA |
| 推荐引用方式 GB/T 7714 | Yu, Chao,Di Girolamo, Larry,Chen, Liangfu,et al. Statistical evaluation of the feasibility of satellite-retrieved cloud parameters as indicators of PM2.5 levels[J]. JOURNAL OF EXPOSURE SCIENCE AND ENVIRONMENTAL EPIDEMIOLOGY,2015,25(5):389-403. |
| APA | Yu, Chao,Di Girolamo, Larry,Chen, Liangfu,Zhang, Xueying,&Liu, Yang.(2015).Statistical evaluation of the feasibility of satellite-retrieved cloud parameters as indicators of PM2.5 levels.JOURNAL OF EXPOSURE SCIENCE AND ENVIRONMENTAL EPIDEMIOLOGY,25(5),389-403. |
| MLA | Yu, Chao,et al."Statistical evaluation of the feasibility of satellite-retrieved cloud parameters as indicators of PM2.5 levels".JOURNAL OF EXPOSURE SCIENCE AND ENVIRONMENTAL EPIDEMIOLOGY 25.5(2015):389-403. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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