Supplementary Data: Sensitivity of Air Pollution Exposure and Disease Burden to Emission Changes in China using Machine Learning Emulation
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下载链接：
https://archive.researchdata.leeds.ac.uk/957/
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资源简介：
The trained emulators per grid cell in China that support the findings of this study. The emulators predict ambient fine particulate matter (PM2.5) and ozone (O3) concentrations from emission changes in five anthropogenic sectors. The README.txt file explains how to open and use these emulators.
提供机构：
University of Leeds
创建时间：
2022-05-05
