2 Dimensional Hydrodynamic Flood Routing Analysis On Flood Forecasting Modelling For Kelantan River Basin

Lariyah Mohd Sidek, Wan Hazdy Azad, Hidayah Basri, Ming Fai Chow, Suhani Saidin, Abd Jalil Hassan

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Flood disaster occurs quite frequently in Malaysia and has been categorized as the most threatening natural
disaster compared to landslides, hurricanes, tsunami, haze and others. A study by Department of Irrigation and
Drainage (DID) show that 9% of land areas in Malaysia are prone to flood which may affect approximately 4.9
million of the population. 2 Dimensional floods routing modelling demonstrate is turning out to be broadly utilized
for flood plain display and is an extremely viable device for evaluating flood. Flood propagations can be better
understood by simulating the flow and water level by using hydrodynamic modelling. The hydrodynamic flood
routing can be recognized by the spatial complexity of the schematization such as 1D model and 2D model. It was
found that most of available hydrological models for flood forecasting are more focus on short duration as compared
to long duration hydrological model using the Probabilistic Distribution Moisture Model (PDM). The aim of this
paper is to discuss preliminary findings on development of flood forecasting model using Probabilistic Distribution
Moisture Model (PDM) for Kelantan river basin. Among the findings discuss in this paper includes preliminary
calibrated PDM model, which performed reasonably for the Dec 2014, but underestimated the peak flows. Apart
from that, this paper also discusses findings on Soil Moisture Deficit (SMD) and flood plain analysis. Flood
forecasting is the complex process that begins with an understanding of the geographical makeup of the catchment
and knowledge of the preferential regions of heavy rainfall and flood behaviour for the area of responsibility.
Therefore, to decreases the uncertainty in the model output, so it is important to increase the complexity of the model.
Original languageEnglish
Number of pages7
Publication statusPublished - 01 Dec 2016

All Science Journal Classification (ASJC) codes

  • Renewable Energy, Sustainability and the Environment
  • Environmental Engineering

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