The forecasting research of early warning systems for atmospheric pollutants: A case in Yangtze River Delta region
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- 作者：Yiliao Songa ; Shanshan Qinb ; c ; qinsslzu@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Jiansheng Qud ; Feng Liua
- 关键词：Particle matter (PM) ; Emissions distribution ; Adaptive neuro-fuzzy (ANF) model ; Dynamic interval forecasts ; Forecasting and early warning systems
- 刊名：Atmospheric Environment
- 出版年：2015
- 出版时间：October 2015
- 年：2015
- 卷：118
- 期：Complete
- 页码：58-69
- 全文大小：3404 K
文摘
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The deficiency of forecasting and early warning systems is emphasized in this paper.
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Interval prediction is proposed for addressing the uncertainty of PMs.
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An artificial intelligence method is introduced to improve performance.
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The results are validated well in the Yangtze River Delta region in China.