Abstract
The low resolution and the limitation of data are the main problems for flood analysis, so that the flood prediction often becomes inaccurate. This led to the decision policy for flood disaster mitigation often becomes ineffective. Currently the available of satellite-estimated rainfall data is gradually becoming a cost-effective source of input for flood prediction under a variety of circumstances. This study developed a hydrologic modelling using Tropical Rainfall Measuring Mission (TRMM) satellites data and IFAS (Integrated Flood Analysis System) tool for flood analysis. Upper Rokan watershed with the AWLR (Automatic Water Level Recorder) station of Lubuk Bendahara and Pasir Pangaraian in Riau Province were picked up as study area of this research. The study areas are located in Rokan Hulu regency which is the most vulnerable regency against flood disaster in Riau Province. The results show that the hydrologic modelling using satellite data can be used as an alternative for flood analysis in the area with limited ground data. The flood discharge prediction shows an acceptable error with the ground measurement data. The wave shape error, the volume error, and the peak discharge error for Lubuk Bendahara station are 9.58%, 17.28%, and 10.81%, and for Pasir Pangaraian station are 33.62%, 8.60% and 5.88% respectively.
Highlights
Floods are among the most recurring and devastating natural hazards, impacting human lives and causing severe economic damage throughout the world
At the beginning of the simulation, hydrological parameters used for the simulation was the default parameters specified by IFAS based on satellite data input
The measured peak discharge in the same time periode is 690.57 m3/sec. It means that The flood discharge prediction show an acceptable error with the ground measurement data
Summary
Floods are among the most recurring and devastating natural hazards, impacting human lives and causing severe economic damage throughout the world. The main problem for flood analysis in Indonesia and other developing country is the low resolution and the limitation of data, so that the flood prediction often become inaccurate [2, 3]. This led to the decision policy for flood disaster mitigation often becomes ineffective. The available of satellite-estimated rainfall data is gradually becoming a cost-effective source of input for flood prediction under a variety of circumstances One such satellite rainfall product, the National Aeronautics and Space Administration (NASA) Tropical Rainfall Measuring Mission (TRMM) has been used extensively and provides quasi global (50oS–50oN) precipitation analyses at 3-hourly, 0.25o latitude– longitude resolution, with all satellite estimates calibrated or adjusted to the information from the TRMM satellite itself, which carries both a radar and passive microwave sensor [4, 5]
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