A satellite-driven model to estimate long-term particulate sulfate levels and attributable mortality burden in China

A satellite-driven model to estimate long-term particulate sulfate levels and attributable mortality burden in China

Ambient fine particulate matter (PM2.5) pollution is a major environmental and public health challenge in China. In the recent decade, the PM2.5 level has decreased mainly driven by reductions in particulate sulfate as a result of large-scale desulfurization efforts in coal-fired power plants and in...

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Bibliographic Details
Main Authors: Xia Meng, Yun Hang, Xiuran Lin, Tiantian Li, Tijian Wang, Junji Cao, Qingyan Fu, Sagnik Dey, Kan Huang, Fengchao Liang, Haidong Kan, Xiaoming Shi, Yang Liu
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:Environment International
Subjects:
Air pollution
Particulate sulfate
Atmospheric big data
Machine learning
Spatiotemporal distribution
Health impact assessment
Online Access:http://www.sciencedirect.com/science/article/pii/S0160412023000132

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http://www.sciencedirect.com/science/article/pii/S0160412023000132

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