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Open AccessArticle

Spatial Assessment of Health Economic Losses from Exposure to Ambient Pollutants in China

1
Center for Spatial Information, School of Environment and Natural Resources, Renmin University of China, Beijing 100872, China
2
Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China
3
IMSG Inc. & NOAA/NESDIS/STAR, 5825 University Research Ct., Suite 3250 M Square, College Park, MD 20740, USA
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(5), 790; https://doi.org/10.3390/rs12050790
Received: 30 November 2019 / Revised: 24 February 2020 / Accepted: 26 February 2020 / Published: 1 March 2020
(This article belongs to the Special Issue Satellite Remote Sensing for Air Quality and Health)
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, O3, 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° × 0.25°, 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. View Full-Text
Keywords: spatial resolution; remote sensing; ambient pollutants; economic losses; spatial assessment spatial resolution; remote sensing; ambient pollutants; economic losses; spatial assessment
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MDPI and ACS Style

Wang, K.; Wang, W.; Wang, W.; Jiang, X.; Yu, T.; Ciren, P. Spatial Assessment of Health Economic Losses from Exposure to Ambient Pollutants in China. Remote Sens. 2020, 12, 790. https://doi.org/10.3390/rs12050790

AMA Style

Wang K, Wang W, Wang W, Jiang X, Yu T, Ciren P. Spatial Assessment of Health Economic Losses from Exposure to Ambient Pollutants in China. Remote Sensing. 2020; 12(5):790. https://doi.org/10.3390/rs12050790

Chicago/Turabian Style

Wang, Kun; Wang, Wen; Wang, Weijia; Jiang, Xiaoqun; Yu, Tao; Ciren, Pubu. 2020. "Spatial Assessment of Health Economic Losses from Exposure to Ambient Pollutants in China" Remote Sens. 12, no. 5: 790. https://doi.org/10.3390/rs12050790

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