Developing an early-warning system for air quality prediction and assessment of cities in China

作者：

Highlights：

• An early-warning system is developed for air quality.

• Pollutant emission characteristics are analyzed using distribution functions.

• Dynamic forecast intervals are constructed for addressing the uncertainty.

• Air quality is evaluated by integrating fuzzy set theory and AHP.

• The results show that the developed early-system is effective and reliable.

摘要

•An early-warning system is developed for air quality.•Pollutant emission characteristics are analyzed using distribution functions.•Dynamic forecast intervals are constructed for addressing the uncertainty.•Air quality is evaluated by integrating fuzzy set theory and AHP.•The results show that the developed early-system is effective and reliable.

论文关键词：Early-warning system,Uncertainty problem,Interval forecast,Fuzzy set,Weighted air quality assessment

论文评审过程：Received 19 January 2017, Revised 24 April 2017, Accepted 25 April 2017, Available online 4 May 2017, Version of Record 10 May 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.04.059