Comparison of machine learning and process-based SWAT model in simulating streamflow in the Upper Indus Basin

Comparison of machine learning and process-based SWAT model in simulating streamflow in the Upper Indus Basin

Abstract This study appraised and compared the performance of process-based hydrological SWAT (soil and water assessment tool) with a machine learning-based multi-layer perceptron (MLP) models for simulating streamflow in the Upper Indus Basin. The study period ranges from 1998 to 2013, where SWAT a...

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Bibliographic Details
Main Authors: Khalil Ur Rahman, Quoc Bao Pham, Khan Zaib Jadoon, Muhammad Shahid, Daniel Prakash Kushwaha, Zheng Duan, Babak Mohammadi, Khaled Mohamed Khedher, Duong Tran Anh
Format: Article
Language:English
Published: SpringerOpen 2022-06-01
Series:Applied Water Science
Subjects:
Hydrological modeling
Glacier
SWAT
MLP
Upper Indus Basin
Online Access:https://doi.org/10.1007/s13201-022-01692-6

Internet

https://doi.org/10.1007/s13201-022-01692-6

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