Mapping the personal PM2.5 exposure of China's population using random forest-Reference-Cited by-同舟云学术

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Mapping the personal PM2.5 exposure of China's population using random forest

Published:2023-05 Issue: Volume:871 Page:162090
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Li Zhenglei,Chen Yu,Tao Yan,Zhao Xiuge,Wang Danlu,Wei Tong,Hou Yaxuan,Xu Xiaojing

Funder

Ministry of Science and Technology of the People's Republic of China

China Automotive Engineering Research Institute Co Ltd

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference34 articles.

1. Longitudinal variability in outdoor, indoor, and personal PM2.5 exposure in healthy non-smoking adults;Adgate;Atmos. Environ.,2003

2. Comparison of machine learning approaches with a general linear model to predict personal exposure to benzene;Aquilina;Environ. Sci. Technol.,2018

3. Automated classification of time-activity-location patterns for improved estimation of personal exposure to air pollution;Chatzidiakou;Environ. Health,2022

4. Measured and modeled personal exposures to and risks from volatile organic compounds;Dodson;Environ. Sci. Technol.,2007

5. Time-weighted average of fine particulate matter exposure and cause-specific mortality in China: a nationwide analysis;Dong;Lancet Planet.Health,2020

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