Effect of monitoring network design on land use regression models for estimating residential NO₂ concentration

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• 作者：Hao Wu^a ; ^b ; ^{h.wu@ed.ac.uk} ; Stefan Reis^b ; ^c ; Chun Lin^a ; Mathew R. Heal^a ; ^{m.heal@ed.ac.uk}
• 关键词：Land-use regression model ; Dispersion model ; Exposure assessment
• 刊名：Atmospheric Environment
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：149
• 期：Complete
• 页码：24-33
• 全文大小：2811 K
• 卷排序：149

文摘

Land-use regression (LUR) models for NO2 were evaluated using a dispersion model. The number of monitoring sites improved LUR model performance, but not > ∼30 sites. Networks including sites in populated areas better estimated across residential NO2. Roadside sites needed to better characterise the high end of residential NO2. No specific monitoring site design estimated both overall and high NO2 levels well.