Estimating the daily PM2.5 concentration in the Beijing-Tianjin-Hebei region using a random forest model with a 0.01° × 0.01° spatial resolution

Zhao, Chen; Wang, Qing; Ban, Jie; Liu, Zhaorong; Zhang, Yayi; Ma, Runmei; Li, Shenshen; Li, Tiantian

doi:10.1016/j.envint.2019.105297

Public

Estimating the daily PM2.5 concentration in the Beijing-Tianjin-Hebei region using a random forest model with a 0.01° × 0.01° spatial resolution

Published in Environment International • Nov 26, 2019

Authors:

Chen Zhao

Qing Wang

Jie Ban

Abstract

High spatiotemporal resolution fine particulate matter (PM2.5) simulations can provide important exposure data for the assessment of long-term and short-term health effects. Satellite-based aerosol optical depth (AOD) data, meteorological data, and topographic data have become key variables for PM2....

Subject

Beijing

Environmental science

Particulates

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