Air quality early-warning system for cities in China
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- 作者：Yunzhen Xua ; Wendong Yangb ; hshwendong@hotmail.com" class="auth_mail" title="E-mail the corresponding author ; Jianzhou Wangb
- 关键词：Air quality early-warning systems ; Hybrid forecasting model ; Data preprocessing ; Bio-inspire optimization algorithm ; Fuzzy evaluation
- 刊名：Atmospheric Environment
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：148
- 期：Complete
- 页码：239-257
- 全文大小：5396 K
文摘
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A novel air quality early-warning system is developed for cities in China.
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A hybrid model named ICEEMD-WOA-SVM is proposed for forecasting major pollutants.
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The fuzzy framework is used to transform forecast results into air-quality forecasts.
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A novel deciding weight method is proposed based on leave-one-out strategy and WOA.
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The results are validated well in Taiyuan, Harbin and Chongqing, China.