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Review of studies on hydrological modelling in Malaysia

Hydrological models are vital component and essential tools for water resources and environmental planning and manage-ment. In recent times, several studies have been conducted with a view of examining the compatibility of model results with streamﬂow measurements. Some modelers are of the view that...

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Main Authors:	Abdulkareem, Jabir Haruna, Pradhan, Biswajeet, Sulaiman, Wan Nor Azmin, Jamil, Nor Rohaizah
Format:	Article
Language:	English
Published:	Springer 2018
Online Access:	http://psasir.upm.edu.my/id/eprint/73795/1/Review%20of%20studies%20on%20hydrological%20modelling%20in%20Malaysia.pdf http://psasir.upm.edu.my/id/eprint/73795/ https://link.springer.com/article/10.1007/s40808-018-0509-y
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spelling	my.upm.eprints.737952021-12-02T07:36:19Z http://psasir.upm.edu.my/id/eprint/73795/ Review of studies on hydrological modelling in Malaysia Abdulkareem, Jabir Haruna Pradhan, Biswajeet Sulaiman, Wan Nor Azmin Jamil, Nor Rohaizah Hydrological models are vital component and essential tools for water resources and environmental planning and manage-ment. In recent times, several studies have been conducted with a view of examining the compatibility of model results with streamﬂow measurements. Some modelers are of the view that even the use of complex modeling techniques does not give better assessment due to soil heterogeneity and climatic changes that plays vital roles in the behavior of streamﬂow. In Malaysia, several public domain hydrologic models that range from physically-based models, empirical models and conceptual models are in use. These include hydrologic modeling system (HEC-HMS), soil water assessment tool (SWAT), MIKE-SHE, artiﬁcial neural network (ANN). In view of this, a study was conducted to evaluate the hydrological models used in Malaysia, determine the coverage of the hydrological models in major river basins and to identify the methodologies used (speciﬁcally model performance and evaluation). The results of the review showed that 65% of the studies conducted used physical-based models, 37% used empirical models while 6% used conceptual models. Of the 65% of physical-based modelling studies, 60% utilized HEC-HMS an open source models, 20% used SWAT (public domain model), 9% used MIKE-SHE, MIKE 11 and MIKE 22, Infoworks RS occupied 7% while TREX and IFAS occupy 2% each. Thus, indicating preference for open access models in Malaysia. In the case of empirical models, 46% from the total of empirical researches in Malaysia used ANN, 13% used Logistic Regression (LR), while Fuzzy logic, Unit Hydrograph, Auto-regressive inte-grated moving average (ARIMA) model and support vector machine (SVM) contributed 8% each. Whereas the remaining proportion is occupied by Numerical weather prediction (NWP), land surface model (LSM), frequency ratio (FR), decision tree (DT) and weight of evidence (WoE). Majority of the hydrological modelling studies utilized one or more statistical measure of evaluating hydrological model performance (R, R2, NSE, RMSE, MAE, etc.) except in some few cases where no speciﬁc method was stated. Of the 70 papers reviewed in this study, 16 did not specify the type of model evaluation criteria they used in evaluating their studies, 17 utilized only one method while 37 used two or more methods. NSE with 27% was found to be the most widely used method of evaluating model performance; R and RMSE came second with a percentage use 24% each. R2 (20%) was recorded as the third most widely used model evaluation criteria in Malaysia, MAE came fourth with 16% while PBIAS is the least with 11%.The ﬁndings of this work will serve as a guide to modelers in identifying the type of hydrological model they need to apply to a particular catchment for a particular problem. It will equally help water resources managers and policy makers in providing them with executive summary of hydrological studies and where more input is needed to achieve sustainable development. Springer 2018 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/73795/1/Review%20of%20studies%20on%20hydrological%20modelling%20in%20Malaysia.pdf Abdulkareem, Jabir Haruna and Pradhan, Biswajeet and Sulaiman, Wan Nor Azmin and Jamil, Nor Rohaizah (2018) Review of studies on hydrological modelling in Malaysia. Modelling Earth Systems and Environment, 4. 1577 - 1605. ISSN 2363-6203; ESSN: 2363-6211 https://link.springer.com/article/10.1007/s40808-018-0509-y
institution	Universiti Putra Malaysia
building	UPM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Putra Malaysia
content_source	UPM Institutional Repository
url_provider	http://psasir.upm.edu.my/
language	English
description	Hydrological models are vital component and essential tools for water resources and environmental planning and manage-ment. In recent times, several studies have been conducted with a view of examining the compatibility of model results with streamﬂow measurements. Some modelers are of the view that even the use of complex modeling techniques does not give better assessment due to soil heterogeneity and climatic changes that plays vital roles in the behavior of streamﬂow. In Malaysia, several public domain hydrologic models that range from physically-based models, empirical models and conceptual models are in use. These include hydrologic modeling system (HEC-HMS), soil water assessment tool (SWAT), MIKE-SHE, artiﬁcial neural network (ANN). In view of this, a study was conducted to evaluate the hydrological models used in Malaysia, determine the coverage of the hydrological models in major river basins and to identify the methodologies used (speciﬁcally model performance and evaluation). The results of the review showed that 65% of the studies conducted used physical-based models, 37% used empirical models while 6% used conceptual models. Of the 65% of physical-based modelling studies, 60% utilized HEC-HMS an open source models, 20% used SWAT (public domain model), 9% used MIKE-SHE, MIKE 11 and MIKE 22, Infoworks RS occupied 7% while TREX and IFAS occupy 2% each. Thus, indicating preference for open access models in Malaysia. In the case of empirical models, 46% from the total of empirical researches in Malaysia used ANN, 13% used Logistic Regression (LR), while Fuzzy logic, Unit Hydrograph, Auto-regressive inte-grated moving average (ARIMA) model and support vector machine (SVM) contributed 8% each. Whereas the remaining proportion is occupied by Numerical weather prediction (NWP), land surface model (LSM), frequency ratio (FR), decision tree (DT) and weight of evidence (WoE). Majority of the hydrological modelling studies utilized one or more statistical measure of evaluating hydrological model performance (R, R2, NSE, RMSE, MAE, etc.) except in some few cases where no speciﬁc method was stated. Of the 70 papers reviewed in this study, 16 did not specify the type of model evaluation criteria they used in evaluating their studies, 17 utilized only one method while 37 used two or more methods. NSE with 27% was found to be the most widely used method of evaluating model performance; R and RMSE came second with a percentage use 24% each. R2 (20%) was recorded as the third most widely used model evaluation criteria in Malaysia, MAE came fourth with 16% while PBIAS is the least with 11%.The ﬁndings of this work will serve as a guide to modelers in identifying the type of hydrological model they need to apply to a particular catchment for a particular problem. It will equally help water resources managers and policy makers in providing them with executive summary of hydrological studies and where more input is needed to achieve sustainable development.
format	Article
author	Abdulkareem, Jabir Haruna Pradhan, Biswajeet Sulaiman, Wan Nor Azmin Jamil, Nor Rohaizah
spellingShingle	Abdulkareem, Jabir Haruna Pradhan, Biswajeet Sulaiman, Wan Nor Azmin Jamil, Nor Rohaizah Review of studies on hydrological modelling in Malaysia
author_facet	Abdulkareem, Jabir Haruna Pradhan, Biswajeet Sulaiman, Wan Nor Azmin Jamil, Nor Rohaizah
author_sort	Abdulkareem, Jabir Haruna
title	Review of studies on hydrological modelling in Malaysia
title_short	Review of studies on hydrological modelling in Malaysia
title_full	Review of studies on hydrological modelling in Malaysia
title_fullStr	Review of studies on hydrological modelling in Malaysia
title_full_unstemmed	Review of studies on hydrological modelling in Malaysia
title_sort	review of studies on hydrological modelling in malaysia
publisher	Springer
publishDate	2018
url	http://psasir.upm.edu.my/id/eprint/73795/1/Review%20of%20studies%20on%20hydrological%20modelling%20in%20Malaysia.pdf http://psasir.upm.edu.my/id/eprint/73795/ https://link.springer.com/article/10.1007/s40808-018-0509-y
_version_	1718927699446071296
score	13.211869

Review of studies on hydrological modelling in Malaysia

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