Work

Spatiotemporal prediction of daily ambient ozone levels across China using random forest for human exposure assessment

Year: 2017

Type: article

Source: Environmental Pollution

DOI: 10.1016/j.envpol.2017.10.029

Authors: Yu Zhan, Yuzhou Luo, Xunfei Deng, Michael L. Grieneisen, Minghua Zhang, Baofeng Di

Institutions: Sichuan University, University of California, Davis, ZheJiang Academy of Agricultural Sciences

Language: English

Topic: Air Quality Monitoring and Forecasting

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: National Natural Science Foundation of China

Award: G3156702618

OpenAlex ID: W2767085346

FWCI: 7.491

Cites: 57

Cited by: 318

Related to: 10