Satellite-based prediction of daily SO2 exposure across China using a high-quality random forest-spatiotemporal Kriging (RF-STK) model for health risk assessment-Reference-Cited by-同舟云学术

Satellite-based prediction of daily SO2 exposure across China using a high-quality random forest-spatiotemporal Kriging (RF-STK) model for health risk assessment

Published:2019-07 Issue: Volume:208 Page:10-19
ISSN:1352-2310
Container-title:Atmospheric Environment
language:en
Short-container-title:Atmospheric Environment

Author:

Li Rui,Cui Lulu,Meng Ya,Zhao Yilong,Fu Hongbo

Funder

National Natural Science Foundation of China

International cooperation project of Shanghai municipal government

Publisher

Elsevier BV

Subject

Atmospheric Science,General Environmental Science

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