Assessment of Parameter Sensitivity in Rainfall-Runoff Modelling for Peninsular Malaysia

The parameter sensitivity is identified in the usage of the Rainfall-Runoff-Inundation model, also known as RRI for Peninsular Malaysia. The data used in the analysis were obtained from 518 rainfall and 5 evaporation stations from 2017 to 2020 with topography resolution of 1 km. Subjected to overlan...

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Main Authors: Mohamad Arbai Nurul Afiqah, Masayasu Irie, Chong Khai Lin
Format: Article
Language:English
Published: EDP Sciences 2024-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/129/e3sconf_staclim2024_02003.pdf
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author Mohamad Arbai Nurul Afiqah
Masayasu Irie
Chong Khai Lin
author_facet Mohamad Arbai Nurul Afiqah
Masayasu Irie
Chong Khai Lin
author_sort Mohamad Arbai Nurul Afiqah
collection DOAJ
description The parameter sensitivity is identified in the usage of the Rainfall-Runoff-Inundation model, also known as RRI for Peninsular Malaysia. The data used in the analysis were obtained from 518 rainfall and 5 evaporation stations from 2017 to 2020 with topography resolution of 1 km. Subjected to overland flow behaviour condition, six model parameters were individually tested to observe the significance of the changes in the runoff outputs from the model default values. The comparisons were conducted in terms of average, maximum, and minimum discharge throughout the period. The results showed land roughness is the most sensitive parameter, followed by parameters of river width, river depth, and river roughness. The study helps researchers in calibrating RRI model for the application in Peninsular Malaysia.
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institution Kabale University
issn 2267-1242
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publishDate 2024-01-01
publisher EDP Sciences
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series E3S Web of Conferences
spelling doaj-art-f406b5c6ea45427baf1d024a43f8280a2025-01-16T11:22:27ZengEDP SciencesE3S Web of Conferences2267-12422024-01-015990200310.1051/e3sconf/202459902003e3sconf_staclim2024_02003Assessment of Parameter Sensitivity in Rainfall-Runoff Modelling for Peninsular MalaysiaMohamad Arbai Nurul Afiqah0Masayasu Irie1Chong Khai Lin2Department of Civil Engineering, Graduate School of Engineering, Osaka UniversityDepartment of Civil Engineering, Graduate School of Engineering, Osaka UniversityDisaster Management Institute, School of Technology Management and Logistics, Universiti Utara MalaysiaThe parameter sensitivity is identified in the usage of the Rainfall-Runoff-Inundation model, also known as RRI for Peninsular Malaysia. The data used in the analysis were obtained from 518 rainfall and 5 evaporation stations from 2017 to 2020 with topography resolution of 1 km. Subjected to overland flow behaviour condition, six model parameters were individually tested to observe the significance of the changes in the runoff outputs from the model default values. The comparisons were conducted in terms of average, maximum, and minimum discharge throughout the period. The results showed land roughness is the most sensitive parameter, followed by parameters of river width, river depth, and river roughness. The study helps researchers in calibrating RRI model for the application in Peninsular Malaysia.https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/129/e3sconf_staclim2024_02003.pdf
spellingShingle Mohamad Arbai Nurul Afiqah
Masayasu Irie
Chong Khai Lin
Assessment of Parameter Sensitivity in Rainfall-Runoff Modelling for Peninsular Malaysia
E3S Web of Conferences
title Assessment of Parameter Sensitivity in Rainfall-Runoff Modelling for Peninsular Malaysia
title_full Assessment of Parameter Sensitivity in Rainfall-Runoff Modelling for Peninsular Malaysia
title_fullStr Assessment of Parameter Sensitivity in Rainfall-Runoff Modelling for Peninsular Malaysia
title_full_unstemmed Assessment of Parameter Sensitivity in Rainfall-Runoff Modelling for Peninsular Malaysia
title_short Assessment of Parameter Sensitivity in Rainfall-Runoff Modelling for Peninsular Malaysia
title_sort assessment of parameter sensitivity in rainfall runoff modelling for peninsular malaysia
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/129/e3sconf_staclim2024_02003.pdf
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AT chongkhailin assessmentofparametersensitivityinrainfallrunoffmodellingforpeninsularmalaysia