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Evaluation of parameter regionalization methods for flood simulations in Kelantan river basin

Parameter regionalization techniques are widely used to estimate the parameters for calibrating the hydrological models in ungauged catchments. This study is aimed to compare global average and regression regionalization method for estimating input parameters for Integrated Flood Analysis System (IF...

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Main Authors: Chow M.F., Jamil M.M., Ros F.C., Yuzir M.A.M., Hossain M.S.
Other Authors: 57214146115
Format: Article
Published: Blue Eyes Intelligence Engineering and Sciences Publication 2023
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spelling my.uniten.dspace-246762023-05-29T15:25:46Z Evaluation of parameter regionalization methods for flood simulations in Kelantan river basin Chow M.F. Jamil M.M. Ros F.C. Yuzir M.A.M. Hossain M.S. 57214146115 57617401400 57222964772 56703426300 55579596900 Parameter regionalization techniques are widely used to estimate the parameters for calibrating the hydrological models in ungauged catchments. This study is aimed to compare global average and regression regionalization method for estimating input parameters for Integrated Flood Analysis System (IFAS) model in Kelantan River basin. The calibrated IFAS parameters were obtained from a number of gauged catchments. The model performances obtained using both methods were evaluated using Nash-Sutcliffe coefficient for peak flow, runoff volume and wave shape for flood event during period Dec 2006 � Jan 2007. The regression-based technique performed better than global averaged technique, with the Nash-Sutcliffe model efficiency coefficient values obtained were greater than 0.7 (indicating good model performance) compared to 0.4 for global averaged technique. The results suggest that it is possible to estimate the IFAS parameters using regression-based techniques for flood simulation. � BEIESP. Final 2023-05-29T07:25:46Z 2023-05-29T07:25:46Z 2019 Article 2-s2.0-85067867576 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067867576&partnerID=40&md5=62c77186e93e26dadb812386c13354a4 https://irepository.uniten.edu.my/handle/123456789/24676 8 7 313 318 Blue Eyes Intelligence Engineering and Sciences Publication Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Parameter regionalization techniques are widely used to estimate the parameters for calibrating the hydrological models in ungauged catchments. This study is aimed to compare global average and regression regionalization method for estimating input parameters for Integrated Flood Analysis System (IFAS) model in Kelantan River basin. The calibrated IFAS parameters were obtained from a number of gauged catchments. The model performances obtained using both methods were evaluated using Nash-Sutcliffe coefficient for peak flow, runoff volume and wave shape for flood event during period Dec 2006 � Jan 2007. The regression-based technique performed better than global averaged technique, with the Nash-Sutcliffe model efficiency coefficient values obtained were greater than 0.7 (indicating good model performance) compared to 0.4 for global averaged technique. The results suggest that it is possible to estimate the IFAS parameters using regression-based techniques for flood simulation. � BEIESP.
author2 57214146115
author_facet 57214146115
Chow M.F.
Jamil M.M.
Ros F.C.
Yuzir M.A.M.
Hossain M.S.
format Article
author Chow M.F.
Jamil M.M.
Ros F.C.
Yuzir M.A.M.
Hossain M.S.
spellingShingle Chow M.F.
Jamil M.M.
Ros F.C.
Yuzir M.A.M.
Hossain M.S.
Evaluation of parameter regionalization methods for flood simulations in Kelantan river basin
author_sort Chow M.F.
title Evaluation of parameter regionalization methods for flood simulations in Kelantan river basin
title_short Evaluation of parameter regionalization methods for flood simulations in Kelantan river basin
title_full Evaluation of parameter regionalization methods for flood simulations in Kelantan river basin
title_fullStr Evaluation of parameter regionalization methods for flood simulations in Kelantan river basin
title_full_unstemmed Evaluation of parameter regionalization methods for flood simulations in Kelantan river basin
title_sort evaluation of parameter regionalization methods for flood simulations in kelantan river basin
publisher Blue Eyes Intelligence Engineering and Sciences Publication
publishDate 2023
_version_ 1806426658481111040
score 13.211869

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