Runoff Modeling in Ungauged Catchments Using Machine Learning Algorithm-Based Model Parameters Regionalization Methodology

Runoff Modeling in Ungauged Catchments Using Machine Learning Algorithm-Based Model Parameters Regionalization Methodology

Model parameters estimation is a pivotal issue for runoff modeling in ungauged catchments. The nonlinear relationship between model parameters and catchment descriptors is a major obstacle for parameter regionalization, which is the most widely used approach. Runoff modeling was studied in 38 catchm...

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Bibliographic Details
Main Authors: Houfa Wu, Jianyun Zhang, Zhenxin Bao, Guoqing Wang, Wensheng Wang, Yanqing Yang, Jie Wang
Format: Article
Language:English
Published: Elsevier 2023-09-01
Series:Engineering
Subjects:
Parameters estimation
Ungauged catchments
Regionalization scheme
Machine learning algorithms
Soil and water assessment tool model
Online Access:http://www.sciencedirect.com/science/article/pii/S2095809922000613

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http://www.sciencedirect.com/science/article/pii/S2095809922000613

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