Evaluating low-cost monitoring designs for PM2.5 exposure assessment with a spatiotemporal modeling approach-Reference-Cited by-同舟云学术

Evaluating low-cost monitoring designs for PM2.5 exposure assessment with a spatiotemporal modeling approach

Published:2024-02 Issue: Volume:343 Page:123227
ISSN:0269-7491
Container-title:Environmental Pollution
language:en
Short-container-title:Environmental Pollution

Author:

Bi Jianzhao^ORCID,Burnham Dustin^ORCID,Zuidema Christopher^ORCID,Schumacher Cooper,Gassett Amanda J.^ORCID,Szpiro Adam A.,Kaufman Joel D.,Sheppard Lianne

Funder

United States Environmental Protection Agency

National Institute on Aging

National Institute of Environmental Health Sciences

Publisher

Elsevier BV

Subject

Health, Toxicology and Mutagenesis,Pollution,Toxicology,General Medicine

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2. Contribution of low-cost sensor measurements to the prediction of PM2.5 levels: a case study in Imperial County, California, USA;Bi;Environ. Res.,2020

3. Incorporating low-cost sensor measurements into high-resolution PM2.5 modeling at a large spatial scale;Bi;Environ. Sci. Technol.,2020

4. Publicly available low-cost sensor measurements for PM2.5 exposure modeling: guidance for monitor deployment and data selection;Bi;Environ. Int.,2022

5. Within-city variation in ambient carbon monoxide concentrations: leveraging low-cost monitors in a spatiotemporal modeling framework;Bi;Environ. Health Perspect.,2022

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