Analysis of lag time between the rainfall and flooding during december 2014 flood inccident in Pahang River Basin, Malaysia
Pahang River Basin is highly vulnerable to the risk of flood. Frequent flooding can cause a lot of cost property damages and losses of lives. December 2014 flood event was on an unprecedented scale. The water level increase rapidly and the local people do not expected the situation become worst. The...
| Summary: | Pahang River Basin is highly vulnerable to the risk of flood. Frequent flooding can cause a lot of cost property damages and losses of lives. December 2014 flood event was on an unprecedented scale. The water level increase rapidly and the local people do not expected the situation become worst. The main objective of this study was to analysing lag time, (Δt) between the rainfall and flooding during flood event in Pahang River Basin occurred during the end of December 2014 (from 20th until 31st). The specific objectives of the study are as follows; to validate satellite-based data and to analyse lag time, (Δt) between the rainfall and flooding during flood event in Pahang River Basin. The study area covered the area that effected during the flood event; Jeram Bugor, Bukit Betong, Sungai Yap, Temerloh, Lubuk Paku and Paloh Hinai. In this study, Auto-estimator method was used to derive satellite-based hourly rainfall rate data from satellite image of top of cloud temperature data taken from the public domain meanwhile the water level and rain gauge rainfall data obtained from Department of Irrigation & Drainage (DID). The satellite-based hourly rainfall rate over rain-gauge station retrieved and validated. The estimated value and measured value shows a very good agreement (r = 0.89 to 0.97). The regression line fitted through origin has a slope of 0.58 to 1.06 the dataset. Flood lag analyses were conducted by referring to the satellite-based hourly rainfall rate data and the water level data obtained from DID based on four water level station situated along Pahang river which is Sungai Yap, Temerloh, Lubuk Paku and Paloh Hinai. The time series graphs were produced to derive the lag time, (Δt) for the flood event. From the result, the satellite-based rainfall rate data from public domain able to be used for the flood forecasting. In future, it will give benefit to relevant parties for systematic planning in flood management system. |
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