A Hadoop cloud-based surrogate modelling framework for approximating complex hydrological models

A Hadoop cloud-based surrogate modelling framework for approximating complex hydrological models

Hydrological simulation has long been a challenge because of the computationally intensive and expensive nature of complex hydrological models. In this paper, a surrogate modelling (SM) framework is presented based on the Hadoop cloud for approximating complex hydrological models. The substantial mo...

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Bibliographic Details
Main Authors: Jinfeng Ma, Hua Zheng, Ruonan Li, Kaifeng Rao, Yanzheng Yang, Weifeng Li
Format: Article
Language:English
Published: IWA Publishing 2023-03-01
Series:Journal of Hydroinformatics
Subjects:
chaospy
hadoop cloud
polynomial chaos expansion
surrogate modelling
swat
Online Access:http://jhydro.iwaponline.com/content/25/2/511

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