| Issue |
E3S Web Conf.
Volume 599, 2024
6th International Conference on Science and Technology Applications in Climate Change (STACLIM 2024)
|
|
|---|---|---|
| Article Number | 02003 | |
| Number of page(s) | 8 | |
| Section | Water and Food Security | |
| DOI | https://doi.org/10.1051/e3sconf/202459902003 | |
| Published online | 10 January 2025 | |
Assessment of Parameter Sensitivity in Rainfall-Runoff Modelling for Peninsular Malaysia
1 Department of Civil Engineering, Graduate School of Engineering, Osaka University, 565-0871 Suita, Osaka, Japan
2 Hydrology and Water Resources Engineering Department, Dr. Nik & Associates Sdn. Bhd., 53300 Wangsa Maju, Kuala Lumpur, Malaysia
3 Disaster Management Institute, School of Technology Management and Logistics, Universiti Utara Malaysia, 06010 Sintok, Kedah, Malaysia
* Corresponding author: afiqah@civil.eng.osaka-u.ac.jp
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.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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