Associations Between Aerosol Optical Depth From Satellite Remote Sensing With Ground Fine Particle And Daily Mortality

Objectives:The use of satellite remote sensing data to retrieve the aerosol optical thickness to obtain the he spatial and temporal distribution of the concentrations of pollutants, has become an important supplement for pollutant monitoring. This article aims to analysis the correlation between aerosol optical depth (AOD) from satellite remote sensing and ground measured PM2.5concentration and established mathematical models for the AOD fitting the PM2.5concentration, in order to explore the acute health effects of AOD from satellite remote sensing, providing theoretical basis for further applying the satellite remote sensing technology to monitor environmental pollutants and conduct human health effects study in the places of the scarcity of monitoring sites.Methods:Mathematical statistics were used to establish the model equations for AOD data from satellite remote sensing to predict the ground concentration of PM2.5. Humidity correction and visibility of elevation correction were used to further improve the accuracy of the AOD data from satellite remote sensing predicting the ground concentration of PM2.5.Results:In Shanghai, the correlation coefficient of AOD data from satellite remote sensing and the ground PM2.5concentration significantly improve to0.52after humidity and elevation correction. In one year, the correlation coefficient of AOD data and ground PM2.5concentrations was the highest (0.67) in summer. The best function for fitting the corrected AOD and PM2.5was the power function using different mathematical models found, with the R2of0.332. Time series analysis showed that an increase of per quartile of PM2.5and the corrected PM2.5with the AOD pitch, will cause total mortality increased1.45%(95%comidence interval:0.59%to2.32%) and1.36%(0.04%to2.69%); cardiovascular mortality increased by1.88%(95%-1.81%to5.57%) and1.70%(-0.14%to3.54%); stroke mortality increased by2.21%(from0.68%to3.73%) and1.82%(-0.55%to4.19%); coronary heart mortality increased by1.12%(-0.63%to2.86%) and1.52%(-1.13%to4.18%); The respiratory mortality increased by2.32%(0.08%to4.55%) and3.03%(-0.49%to6.64%); COPD mortality increased by2.51(from0.21%to4.81%) and3.50%(0.11%-7.11%). The effect in the current day (lag0) was the highest and the effects of PM2.5and AOD for the elderly, women and the less educated people are relatively lower. Conclusions:AOD data from satellite remote sensing can fitting ground concentration of PM2.5well after humidity and elevation correction, and can reflect the acute health effects of PM2.5on daily mortality of residents. For the majority of the region lacking of PM2.5monitoring sites, satellite remote sensing data can be used to estimates and speculated the health effects of airborne fine particulate matter and improve the spatial and temporal coverage of the ground pollutant monitoring.