Estimating PM2.5 concentrations based on non-linear exposure-lag-response associations with aerosol optical depth and meteorological measures-Reference-Cited by-同舟云学术

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Estimating PM2.5 concentrations based on non-linear exposure-lag-response associations with aerosol optical depth and meteorological measures

Published:2018-01 Issue: Volume:173 Page:30-37
ISSN:1352-2310
Container-title:Atmospheric Environment
language:en
Short-container-title:Atmospheric Environment

Author:

Chen Zhao-Yue,Zhang Tian-Hao,Zhang Rong,Zhu Zhong-Min,Ou Chun-Quan^ORCID,Guo Yuming

Funder

National Nature Science Foundation of China

Nature Science Foundation of Guangdong Province

Australian National Health and Medical Research Council

Publisher

Elsevier BV

Subject

Atmospheric Science,General Environmental Science

Reference57 articles.

1. Spatial and temporal variation in PM2.5 chemical composition in the United States for health effects studies;Bell;Environ. Health Perspect.,2007

2. Apheis: health impact assessment of long-term exposure to PM2.5 in 23 European cities;Boldo;Eur. J. Epidemiol.,2006

3. Effects of local and regional climatic fluctuations on dengue outbreaks in southern Taiwan;Chuang;PLoS One,2017

4. Prediction of daily fine particulate matter concentrations using aerosol optical depth retrievals from the Geostationary Operational Environmental Satellite (GOES);Chudnovsky;J. Air Waste Manag. Assoc.,2012

5. Development of land use regression models for PM2.5, PM2.5 absorbance, PM10 and PM coarse in 20 European study areas; Results of the ESCAPE project;Eeftens;Environ. Sci. Technol.,2012

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