Developing an ANN-based early warning model for airborne particulate matters in river banks areas

作者：

Highlights：

• An early warning model is proposed to predict the high PM pollution events.

• Three different sampling strategies were used to screen data for modelling.

• Proposed model capable of predominating pollution characteristics is high accuracy.

摘要

•An early warning model is proposed to predict the high PM pollution events.•Three different sampling strategies were used to screen data for modelling.•Proposed model capable of predominating pollution characteristics is high accuracy.

论文关键词：Artificial neural network,Early-warning system,Prediction model,Estuary dust

论文评审过程：Received 26 October 2020, Revised 1 April 2021, Accepted 10 June 2021, Available online 15 June 2021, Version of Record 17 June 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115421