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. Cordiolia ; b ; mik.cordioli@gmail.com" class="auth_mail" title="E-mail the corresponding author ; C. Pironic ; E. De Munaric ; N. Marmirolia ; P. Lauriolab ; A. Ranzib
- 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
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We combined land use regression (LUR) models and central site continuous monitoring.
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We reconstructed NO2 spatiotemporal variability over a wide geographical area.
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The model performed well in reproducing measured daily concentrations.
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The model is very useful for both long and short term exposure assessment.