A land use regression application into assessing spatial variation of intra-urban fine particulate matter (PM2.5) and nitrogen dioxide (NO2) concentrations in City of Shanghai, China
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- 作者：Chao Liua ; liuchao1020@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Barron H. Hendersonb ; barronh@ufl.edu" class="auth_mail" title="E-mail the corresponding author ; Dongfang Wangc ; wangdf@semc.gov.cn" class="auth_mail" title="E-mail the corresponding author ; Xinyuan Yanga ; poppyyang@ufl.edu" class="auth_mail" title="E-mail the corresponding author ; Zhong-ren Pengd ; e ; zpeng@dcp.ufl.edu" class="auth_mail" title="E-mail the corresponding author
- 关键词：Land Use Regression (LUR) ; Intra-urban air pollution ; PM2.5 ; NO2 ; Spatial analysis ; China
- 刊名：Science of the Total Environment
- 出版年：2016
- 出版时间：15 September 2016
- 年：2016
- 卷：565
- 期：Complete
- 页码：607-615
- 全文大小：1833 K
文摘
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An interdisciplinary study of urban land use and air pollution domains.
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The Land Use Regression (LUR) model can estimate intra-urban PM2.5 and NO2 concentrations well in Shanghai, China.
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Shanghai PM2.5 pollutant concentrations are more sensitive to geographic location and proximity to neighboring regions when compared to Beijing and New York.