Comparison of data-driven methods in the prediction of hydro-socioeconomic parameters

Comparison of data-driven methods in the prediction of hydro-socioeconomic parameters

One of the weaknesses of water resources management is the neglect of the nonstructural aspects that involve the most important relationships between water resources and socioeconomic parameters. Particularly, socioeconomic evaluation for different regions is crucial before implementing water resour...

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Bibliographic Details
Main Authors: Alireza Rezaee, Omid Bozorg-Haddad, Xuefeng Chu
Format: Article
Language:English
Published: IWA Publishing 2023-04-01
Series:Aqua
Subjects:
artificial neural networks
data-driven modeling
renewable water resources
socioeconomic parameters
water availability
wavelet-gep models
Online Access:http://aqua.iwaponline.com/content/72/4/438

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