Calibration of a low-cost PM2.5 monitor using a random forest model-Reference-Cited by-同舟云学术

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Calibration of a low-cost PM2.5 monitor using a random forest model

Published:2019-12 Issue: Volume:133 Page:105161
ISSN:0160-4120
Container-title:Environment International
language:en
Short-container-title:Environment International

Author:

Wang Yanwen,Du Yanjun,Wang Jiaonan,Li Tiantian

Funder

National Natural Science Foundation of China

Beijing Municipal Natural Science Foundation

State Key Laboratory of Environmental Chemistry and Ecotoxicology

National High-level Talents Special Support Plan of China for Young Talents

Environmental Health Development Project of National Institute of Environmental Health, China

Publisher

Elsevier BV

Subject

General Environmental Science

Reference23 articles.

1. Urban ambient particle metrics and health: a time-series analysis;Atkinson;Epidemiology,2010

2. Laboratory evaluation of the Shinyei PPD42NS low-cost particulate matter sensor;Austin;PLoS One,2015

3. Assessment of air quality microsensors versus reference methods: the EuNetAir joint exercise;Borrego;Atmos. Environ.,2016

4. Particulate matter air pollution and cardiovascular disease an update to the scientific statement from the American heart association;Brook;Circulation,2010

5. Mobile technologies and services for environmental monitoring: the Citi-Sense-MOB approach;Castell;Urban Clim.,2015

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