A Machine Learning Approach for High-Resolution Modeling and Apportionment of Black Carbon Concentrations in an Impacted Community

Author:

Hamilton Sofia D.1ORCID,Harley Robert A.1

Affiliation:

1. Department of Civil & Environmental Engineering, University of California Berkeley, Berkeley, California 94720-1710, United States

Funder

Bay Area Air Quality Management District

Publisher

American Chemical Society (ACS)

Reference64 articles.

1. Carcinogenicity of diesel-engine and gasoline-engine exhausts and some nitroarenes

2. California Air Resources Board. Overview: Diesel Exhaust & Health. https://ww2.arb.ca.gov/resources/overview-diesel-exhaust-and-health (accessed Jan. 31, 2024).

3. Black Carbon as an Additional Indicator of the Adverse Health Effects of Airborne Particles Compared with PM10and PM2.5

4. Public health and components of particulate matter: The changing assessment of black carbon

5. Health Effects Institute. Traffic-Related Air Pollution: A Critical Review of the Literature on Emissions, Exposure, and Health Effects. https://www.healtheffects.org/publication/traffic-related-air-pollution-critical-review-literature-emissions-exposure-and-health (accessed Feb. 2, 2024).

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