Prediction of flow duration curves for ungauged basins

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• 作者：Maya Atieh^a ; Graham Taylor^a ; Ahmed M.A. Sattar^b ; Bahram Gharabaghi^a ; ^{bgharaba@uoguelph.ca} ;
• 关键词：Regulated ; Ungauged basins ; Flow duration curves ; Artificial neural networks ; Genetic evolutionary program
• 刊名：Journal of Hydrology
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：545
• 期：Complete
• 页码：383-394
• 全文大小：1644 K
• 卷排序：545

文摘

Compiled data from 171 unregulated and 89 regulated basins across North America. For the 89 regulated basins, generated FDCs for both before and after flow regulation. Developed FDC prediction models at ungauged basins using ANN & GEP. The ANN was the best performing model with R2 (0.97), RAE (0.21), D (0.93). Both GEP & ANN models were most sensitive to DA, then MAP, AEDI & SHPF.