Development of nonlinear empirical models to forecast daily PM2.5 and ozone levels in three large Chinese cities
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- 作者：Baolei Lva ; b ; W. Geoffrey Cobournc ; geoffrey@louisville.edu" class="auth_mail" title="E-mail the corresponding author ; Yuqi Baia ; b ; yuqibai@tsinghua.edu.cn" class="auth_mail" title="E-mail the corresponding author
- 关键词：PM2.5 ; Ozone ; Air quality forecast ; Air mass trajectories ; Nonlinear model
- 刊名：Atmospheric Environment
- 出版年：2016
- 出版时间：December 2016
- 年：2016
- 卷：147
- 期：Complete
- 页码：209-223
- 全文大小：3957 K
文摘
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Hybrid nonlinear model was developed to forecast PM2.5 and O3 in Chinese large cities.
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Upwind and persistent PM2.5 concentrations were used as input variables.
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The models were evaluated practically in an operational forecast setting.
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The models behave well in forecast temporal variances of PM2.5 and O3.