Using MAIAC AOD to verify the PM2.5 spatial patterns of a land use regression model-Reference-Cited by-同舟云学术

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Using MAIAC AOD to verify the PM2.5 spatial patterns of a land use regression model

Published:2018-12 Issue: Volume:243 Page:501-509
ISSN:0269-7491
Container-title:Environmental Pollution
language:en
Short-container-title:Environmental Pollution

Author:

Li Runkui,Ma Tianxiao,Xu Qun,Song Xianfeng

Funder

National Key Research and Development Program of China

Program of Science and Technology Service Network Initiative (STS) of Chinese Academy of Sciences

China Medical Board

National Natural Science Foundation of China

China Scholarship Council

CAMS Innovation Fund for Medical Sciences

Publisher

Elsevier BV

Subject

Health, Toxicology and Mutagenesis,Pollution,Toxicology,General Medicine

Reference36 articles.

1. Effect of the number of measurement sites on land use regression models in estimating local air pollution;Basagaña;Atmos. Environ.,2012

2. A hybrid approach to estimating national scale spatiotemporal variability of PM2.5 in the contiguous United States;Beckerman;Environ. Sci. Technol.,2013

3. Beijing Statistical Yearbook 2016;Beijing Municipal Bureau of Statistics,2016

4. Mapping urban air pollution using GIS: a regression-based approach;Briggs;Int. J. Geogr. Inf. Sci.,1997

5. Estimating spatiotemporal distribution of PM1 concentrations in China with satellite remote sensing, meteorology, and land use information;Chen;Environ. Pollut.,2017

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