Development of Land Use Regression models for particulate matter and associated components in a low air pollutant concentration airshed
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- 作者：Mila Dirgawatia ; mila.dirgawati@uwa.edu.au" class="auth_mail" title="E-mail the corresponding author ; Jane S. Heywortha ; Amanda J. Wheelera ; b ; Kieran A. McCaulc ; David Blakeb ; Jonathon Boeyenb ; Martin Coped ; Bu Beng Yeape ; f ; Mark Nieuwenhuijseng ; Bert Brunekreefh ; Andrea Hinwoodb
- 关键词：Land use regression (LUR) model ; Air pollution ; Particulate matter ; PM elements
- 刊名：Atmospheric Environment
- 出版年：2016
- 出版时间：November 2016
- 年：2016
- 卷：144
- 期：Complete
- 页码：69-78
- 全文大小：419 K
文摘
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Development of LUR model in area with low air pollutant concentration is possible.
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Traffics are the main sources of airborne particulate matters and the elements.
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Most of LUR models explain more than 50% of the pollutant's spatial variability.
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Lack of specific predictor data for air pollutant limit the models' performance.