A land use regression model for estimating the NO2 concentration in shanghai, China-Reference-Cited by-同舟云学术

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A land use regression model for estimating the NO2 concentration in shanghai, China

Published:2015-02 Issue: Volume:137 Page:308-315
ISSN:0013-9351
Container-title:Environmental Research
language:en
Short-container-title:Environmental Research

Author:

Meng Xia,Chen Li,Cai Jing,Zou Bin,Wu Chang-Fu,Fu Qingyan,Zhang Yan,Liu Yang,Kan Haidong

Funder

National Environmental Public Welfare Research Program of Ministry of Environmental Protection of China

National Basic Research Program (973 program) of China

Public Welfare Research Program of National Health and Family Planning Commission of China

China Medical Board Collaborating Program

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

General Environmental Science,Biochemistry

Reference30 articles.

1. Land use regression models to estimate the annual and seasonal spatial variability of sulfur dioxide and particulate matter in Tehran, Iran;Amini;Sci. Total Environ.,2014

2. Estimated long-term outdoor air pollution concentrations in a cohort study;Beelen;Atmos. Environ.,2007

3. Development of NO2 and NO Xland use regression models for estimating air pollution exposure in 36 study areas in Europe—the ESCAPE project;Beelen;Atmos. Environ.,2013

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

5. A regression-based method for mapping traffic-related air pollution: application and testing in four contrasting urban environments;Briggs;Sci. Total Environ.,2000

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