This research was funded by the National Natural Science Foundation of China (Grant No. 41871317).
机构署名：
本校为其他机构
院系归属：
市政与测绘工程学院
摘要：
Assessments of premature deaths caused by PM2.5 exposure have important scientific significance and provide valuable information for future human health–oriented air pollution prevention. PM2.5 concentration data are particularly vital and may cause great uncertainty in premature death assessments. This study constructed an index of deviation frequency to compare differences in premature deaths assessed by five sets of extensively used PM2.5 concentration remote sensing datasets. Then, a preferred combination project of the PM2.5 dataset was p...
