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...
Enregistré dans:
Auteurs principaux: | , , , , , |
---|---|
Format: | article |
Langue: | EN |
Publié: |
American Geophysical Union (AGU)
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/4a8a8cf817034b978e3fdebbd3d0e0e2 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Soyez le premier à ajouter un commentaire!