Flood frequency analysis of daily water levels using the L-moment and TL-moment approaches at river stations in Pahang
The application of flood frequency analysis is essential for understanding and managing the risks associated with extreme water level events. This study examines the Pahang River basin, specifically focusing on water levels at Sungai Pahang (Temerloh) and Sungai Lipis (Benta). Probability distributions and return period concepts are applied to assess flood occurrences. The study has two main objectives: first, to determine the most suitable probability distribution for modeling flood events among the Generalized Extreme Value (GEV), Generalized Logistic (GLO), and Generalized Pareto (GPA) distributions, using both L-moments and TL-moments for parameter estimation; and second, to estimate expected water levels for return periods of 2, 5, 10, 50, and 100 years using the identified best-fit distributions. The study employs the Mean Absolute Deviation Index (MADI) and Ratio Diagram tools to evaluate distribution performance to achieve these objectives. The results indicate that the GLO distribution, estimated using TL-moments (1;0), provides the best fit for the water level data. The findings suggest that water levels in Sungai Pahang and Sungai Lipis will likely exceed the critical danger thresholds of 33 meters and 75 meters within the next 5 and 10 years, respectively, highlighting the need for proactive flood management strategies.
Authors
- Nur Amalina Mat Jan (ORCID: https://orcid.org/0000-0002-5782-7506)
- Mohd. Asyraf Mansor (ORCID: https://orcid.org/0000-0002-3516-5898)
- Vikneswari Someetheram (ORCID: https://orcid.org/0000-0003-3875-3633)
- Adila Aida Azahar
- Muhammad Fadhil Marsani (ORCID: https://orcid.org/0000-0003-4808-0348)
- Mohd Shareduwan Mohd Kasihmuddin (ORCID: https://orcid.org/0000-0001-9125-1101)
- Siti Zulaikha Mohd Jamaludin (ORCID: https://orcid.org/0000-0001-7715-433X)
- F. A. N. Arba
Publication Details
- Journal
- Mathematical Modeling and Computing
- Published
- 2025-01-01
- DOI
- https://doi.org/10.23939/mmc2025.03.709
- Primary Topic
- Hydrology and Drought Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Lviv Polytechnic National University
- Universiti Sains Malaysia