Contribution of low-cost sensor measurements to the prediction of PM2.5 levels: A case study in Imperial County, California, USA-Reference-Cited by-同舟云学术

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Contribution of low-cost sensor measurements to the prediction of PM2.5 levels: A case study in Imperial County, California, USA

Published:2020-01 Issue: Volume:180 Page:108810
ISSN:0013-9351
Container-title:Environmental Research
language:en
Short-container-title:Environmental Research

Author:

Bi Jianzhao,Stowell Jennifer,Seto Edmund Y.W.,English Paul B.,Al-Hamdan Mohammad Z.,Kinney Patrick L.,Freedman Frank R.,Liu Yang

Funder

Imperial

National Aeronautics and Space Administration

NASA

National Institute of Environmental Health Sciences

National Institutes of Health

NIH

Publisher

Elsevier BV

Subject

General Environmental Science,Biochemistry

Reference52 articles.

1. Impacts of snow and cloud covers on satellite-derived PM2.5 levels;Bi;Remote Sens. Environ.,2019

2. Cloud archiving and data mining of high-resolution rapid refresh forecast model output;Blaylock;Comput. Geosci.,2017

3. Indoor particulate matter associated with systemic inflammation in COPD;Bose;J. Environ. Prot.,2015

4. Random forests;Breiman;Mach. Learn.,2001

5. Wireless distributed environmental sensor networks for air pollution measurement—the promise and the current reality;Broday;Sensors,2017

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