Combining land use regression models and fixed site monitoring to reconstruct spatiotemporal variability of NO<sub>2</sub> concentrations over a wide geographical area

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Combining land use regression models and fixed site monitoring to reconstruct spatiotemporal variability of NO₂ concentrations over a wide geographical area

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作者：M. Cordioli^a ; ^b ; ^{mik.cordioli@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; C. Pironi^c ; E. De Munari^c ; N. Marmiroli^a ; P. Lauriola^b ; A. Ranzi^b
关键词：Land use regression model ; Exposure assessment ; Spatiotemporal model ; GIS ; Air pollution
刊名：Science of the Total Environment
出版年：2017
出版时间：1 January 2017
年：2017
卷：574
期：Complete
页码：1075-1084
全文大小：1343 K

文摘

•: We combined land use regression (LUR) models and central site continuous monitoring.
•: We reconstructed NO₂ spatiotemporal variability over a wide geographical area.
•: The model performed well in reproducing measured daily concentrations.
•: The model is very useful for both long and short term exposure assessment.

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