Work

Evaluating Chemical Transport and Machine Learning Models for Wildfire Smoke PM 2.5 : Implications for Assessment of Health Impacts

Year: 2024

Type: article

Source: Environmental Science & Technology

DOI: 10.1021/acs.est.4c05922

Authors: Minghao Qiu, Makoto Kelp, Sam Heft-Neal, Xiaomeng Jin, Carlos F. Gould, Daniel Q. Tong, Marshall Burke

Institutions: Stony Brook University, Stanford University, Rutgers, The State University of New Jersey, University of California San Diego, George Mason University, National Bureau of Economic Research

Language: English

Topic: Air Quality and Health Impacts

Subfield: Health, Toxicology and Mutagenesis

Field: Environmental Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Aeronautics and Space Administration, Stanford University Center for Innovation in Global Health

OpenAlex ID: W4405532113

FWCI: 4.663

Cites: 73

Cited by: 29

Related to: 10