International Journal of Environmental Science and Development

Abstract—Flooding is one of the most frequent natural disasters in Malaysia, causing billions of ringgits in damages and numerous deaths. One of the key strategies to lessen the impact of the disaster is by flood modelling, which is especially beneficial in flood risk management and decision making. This paper focuses on flood modelling and simulation for a river basin using HEC-HMS software with alternative data input from rainfall data produced by weather radar (QPE). Radar QPE has the advantage of providing an areal representation of rainfall, but it is only an indirect measurement of the values. HEC-HMS is an innovative hydrologic modeling software with the advantage of a moderate processing time compared to the more sophisticated hydrodynamic models yet being reasonably accurate. The study methods include the collection and preparation of data required, such as DEM, land use, and soil type for study area of Klang River basin, Malaysia. Initially, the hydrologic model performed a calibration process using the rain gauge data in an effort to generate the best-quality hydrologic simulations. Subsequently, the rainfall inputs from the mean gridded pixel radar QPE values were then used to rerun the models. After model calibration, the result shows that the coefficient of determination, R2, for the rain gauge input is higher (0.8) compared to the radar QPE input (0.6). It is concluded that to produce more accurate results, it was recommended that radar QPE calibration was necessary to enhance the data.

Keywords—hydrological modeling, HEC-HMS, model, flood hydrograph, radar QPE

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Cite: O. N. Shazwani, T. Wardah, C. K. Nursalleh, "Integrated Flood Modeling for Klang River Basin Using HEC-HMS and Radar Rainfall Input," International Journal of Environmental Science and Development vol. 15, no. 4, pp. 176-184, 2024.

Copyright © 2024 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).