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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EDP Sciences
2024-01-01
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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. |
format | Article |
id | doaj-art-f406b5c6ea45427baf1d024a43f8280a |
institution | Kabale University |
issn | 2267-1242 |
language | English |
publishDate | 2024-01-01 |
publisher | EDP Sciences |
record_format | Article |
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 |
work_keys_str_mv | AT mohamadarbainurulafiqah assessmentofparametersensitivityinrainfallrunoffmodellingforpeninsularmalaysia AT masayasuirie assessmentofparametersensitivityinrainfallrunoffmodellingforpeninsularmalaysia AT chongkhailin assessmentofparametersensitivityinrainfallrunoffmodellingforpeninsularmalaysia |