文献类型：期刊文献

英文题名：Spatial Assessment of Health Economic Losses from Exposure to Ambient Pollutants in China

作者：Wang, Kun[1] Wang, Wen[1] Wang, Weijia[1] Jiang, Xiaoqun[1] Yu, Tao[2] Ciren, Pubu[1,3,4]

第一作者：Wang, Kun

通信作者：Wang, W[1]

机构：[1]Renmin Univ China, Ctr Spatial Informat, Sch Environm & Nat Resources, Beijing 100872, Peoples R China;[2]Chinese Acad Forestry, Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China;[3]IMSG Inc, 5825 Univ Res Ct,Suite 3250 M Sq, College Pk, MD 20740 USA;[4]NOAA, NESDIS, STAR, 5825 Univ Res Ct,Suite 3250 M Sq, College Pk, MD 20740 USA

年份：2020

卷号：12

期号：5

外文期刊名：REMOTE SENSING

收录：;EI(收录号：20201208325051);Scopus(收录号：2-s2.0-85081934159);WOS:【SCI-EXPANDED(收录号:WOS:000531559300045)】；

基金：This research was funded by the Fundamental Research Funds for the Central Universities, and the Research Funds of Renmin University of China (Grant No. 17XNLG09).

语种：英文

外文关键词：spatial resolution; remote sensing; ambient pollutants; economic losses; spatial assessment

摘要：Increasing emissions of ambient pollutants have caused considerable air pollution and negative health impact for human in various regions of China over the past decade. The resulting premature mortality and excessive morbidity caused huge human economic losses to the entire society. To identify the differences of health economic losses in various regions of China and help decision-making on targeting pollutants control, spatial assessment of health economic losses due to ambient pollutants in China is indispensable. In this study, to better represent the spatial variability, the satellite-based retrievals of the concentrations of various pollutants (PM10, PM2.5, O-3, NO2, SO2 and CO) for the time period from 2007 to 2017 in China are used instead of using in-situ data. Population raster data were applied together with exposure-response function to calculate the spatial distribution of health impact and then the health impact is further quantified by using amended human capital (AHC) approach. The results which presented in a spatial resolution of 0.25 degrees x 0.25 degrees, show the signification contribution from the spatial assessment to revealing the spatial distribution and variance of health economic losses in various regions of China. Spatial assessment of overall health economic losses is different from conventional result due to more detail spatial information. This spatial assessment approach also provides an alternative method for losses measurement in other fields.