Hydrological flow rate estimation using artificial neural networks: Model development and potential applications

作者：

Highlights：

• A new model for prediction of flow rate in Lim river basin is developed.

• It is shown that derived model is insensitive to common measurement errors.

• Derived model could be applied for predicting future flows using climate models.

• Model could be used for forecasting the hydroenergy production.

摘要

•A new model for prediction of flow rate in Lim river basin is developed.•It is shown that derived model is insensitive to common measurement errors.•Derived model could be applied for predicting future flows using climate models.•Model could be used for forecasting the hydroenergy production.

论文关键词：Flow rate,Artificial neural networks,Monte-Carlo simulation,Climatic scenario,Hydroenergy production

论文评审过程：Received 11 April 2016, Revised 27 June 2016, Accepted 10 July 2016, Available online 28 July 2016, Version of Record 28 July 2016.

论文官网地址：https://doi.org/10.1016/j.amc.2016.07.014