Mapping Total Exceedance PM2.5 Exposure Risk by Coupling Social Media Data and Population Modeling Data

Abstract The PM2.5 exposure risk assessment is the foundation to reduce its adverse effects. Population survey‐related data have been deficient in high spatiotemporal detailed descriptions. Social media data can quantify the PM2.5 exposure risk at high spatiotemporal resolutions. However, due to the...

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Auteurs principaux: Zheng Cao, Guanhua Guo, Zhifeng Wu, Shaoying Li, Hui Sun, Wenchuan Guan
Format: article
Langue:EN
Publié: American Geophysical Union (AGU) 2021
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Accès en ligne:https://doaj.org/article/4a8a8cf817034b978e3fdebbd3d0e0e2
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