University of Oulu

Anandharuban Panchanathan, Ali Torabi Haghighi & Mourad Oussalah (2023) A multi-criteria approach for improving streamflow prediction in a rapidly urbanizing data scarce catchment, International Journal of River Basin Management, DOI: 10.1080/15715124.2023.2188597

A multi-criteria approach for improving streamflow prediction in a rapidly urbanizing data scarce catchment

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Author: Panchanathan, Anandharuban1; Torabi Haghighi, Ali2; Oussalah, Mourad1
Organizations: 1Centre of Machine Vision and Signal Processing, Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland
2Department of Water, Energy, and Environmental Engineering, University of Oulu, Oulu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 5.2 MB)
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Language: English
Published: Informa, 2023
Publish Date: 2023-04-03


This study advocates a multi-criteria approach to improve the streamflow predictions in a data-scarce catchment of Chennai metropolitan city of India using the Soil Water and Assessment Tool (SWAT). The remotely sensed evapotranspiration (ET) data, groundwater recharge estimation, and parameter regionalization were used to improve model prediction. Dynamic change of Land Use and Land Cover (LULC) was accounted for along with multi-parameter calibration for reducing the uncertainty in model parameters. The results revealed an improved streamflow prediction accuracy by 10%, especially in the prediction of medium and high flows with the Nash-Sutcliffe efficiency of 0.60. The enhanced parameters were regionalized to ungauged sub-basins and validated using a measured flow event downstream of regionalization with 15% prediction uncertainty. This semi-arid catchment is dominated by ET (58%) and runoff (27%) in the region’s hydrology. The finding of this study can be applied to improve the hydrological modelling and predictions in data-scarce regions.

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Series: International journal of river basin management
ISSN: 1571-5124
ISSN-E: 1814-2060
ISSN-L: 1571-5124
Issue: Online first
Pages: 1 - 14
DOI: 10.1080/15715124.2023.2188597
Type of Publication: A1 Journal article – refereed
Field of Science: 119 Other natural sciences
1172 Environmental sciences
212 Civil and construction engineering
Funding: This work is partly supported Waterline project which is an EU CHIST-ERA-2019-funded research project under the Grant reference number 344750.
Academy of Finland Grant Number: 344750
Detailed Information: 344750 (Academy of Finland Funding decision)
Copyright information: © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use,distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.