An Integrated Approach for Conducting long-term PM2.5 Exposure and Health Impact Assessments for Residents of a City-scale

An Integrated Approach for Conducting long-term PM2.5 Exposure and Health Impact Assessments for Residents of a City-scale

Abstract This study aims to show the benefits of integrating the mobile monitoring system (MMS), hybrid land use regression (h_LUR), and air quality monitoring station (AQMS) data in both conducting long-term PM2.5 exposure assessment (EA) and health impact assessment (HIA) for residents in a city-s...

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Bibliographic Details
Main Authors: Ming-Shing Ho, Ming-Yeng Lin, Chih-Da Wu, Jung-Der Wang, Li-Hao Young, Hui-Tsung Hsu, Bing-Fang Hwang, Perng-Jy Tsai
Format: Article
Language:English
Published: Springer 2024-01-01
Series:Aerosol and Air Quality Research
Subjects:
PM2.5
Air quality monitoring station
Hybrid land use regression
Mobile Monitoring system
Predictive model
Health impact assessment
Online Access:https://doi.org/10.4209/aaqr.230313
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