Abstract

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.

Highlights

  • Air pollution has become a serious environmental issue and caused large adverse impact for human health in China

  • Spatial assessment of overall health economic losses is different from conventional result dFuuerttohemrmoroered,estpaailtisaplaatsisaelsisnmfoernmt oatfiovne.rTalhleheaablothveectownookmiincdlsososfehs istdoirfifcearlernetsfuroltms bcaosnevdenotniorneaml ote senrseisnugltddautae atondmionr-esidtuetdaailtaspaarteiacloimnfpourmteadtiwoni.thTthheeazboonvaelltywsotaktinstdicsaolfmheisthtoordicarel srpeesuctltivs eblaysteodoobntain overreamlloetecosnenosminigc ldoastsaesanfrdoimn-s2i0tu07dtaota20a1re7 cinomCphuintead, awsisthhothwenzoinnaFlilgyusrteat7is.tical method respectively to Cobotmaipnaorveedrawllitehcotnhoeminic-sliotsusedsaftraom(re2d00li7nteo),2h0e1a7litnh Cechoinnao,masicshlooswsensinbaFsiegduroen7.remote sensing data aprearaepdpwaritehnttlhyelionw-seitru

  • To identify the spatial distribution of regions with heavy health economic losses caused by air pollution and help taking targeted pollution control measures for various regions, spatial assessment of health economic losses associated with ambient pollutants in China is indispensable

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Summary

Introduction

Studies showed that air pollution leads to more than one million premature deaths and 76 million disability-adjusted life years each year in China [1] These concomitant human capital losses to the entire society have inspired research to measure the monetary value of health impact caused by air pollution in different study areas of China [2,3,4]. As the most of monitoring stations are clustered in areas of poor ambient quality, the average value of in-situ data would be higher than realistic average pollutants concentration in this region [10], and leads to overestimation of the severity of health impact eventually [11,12].the higher spatial resolution of data source will play an important role to refine the assessment of human health impact associated to air pollution

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