EVALUASI HASIL POST-PROCESSING DATA SATELIT ALTIMETRI ENVISAT SEBAGAI DATA PREDIKSI ANCAMAN PENINGKATAN MUKA AIR LAUT UNTUK PEMETAAN GENANGAN WILAYAH PESISIR (Studi Kasus Wilayah Pesisir Kabupaten Buleleng Bagian Barat)

Buleleng is one of regencies located in Bali, which potentially threatened by the sea level rise. This fact requires the availability of the flood map coastal area as the effort basic of disaster mitigation. The primary data for potential flood mapping of the coastal area are sea surface heights whi...

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Bibliographic Details
Main Authors: , I Wayan Krisna Eka Putra, , Leni Sophia Heliani, ST., M.Sc., D.Sc.
Format: Thesis
Published: [Yogyakarta] : Universitas Gadjah Mada 2013
Subjects:
ETD
Description
Summary:Buleleng is one of regencies located in Bali, which potentially threatened by the sea level rise. This fact requires the availability of the flood map coastal area as the effort basic of disaster mitigation. The primary data for potential flood mapping of the coastal area are sea surface heights which are determined from Satellite Altimetry Envisat data. Supplying satellite altimetry data with better quality, need to evaluate the results of post-processing data. This research aim to evaluate post-processing result to generate dynamics sea level data that more thorough from Envisat altimetry satellite data, as basic data for coastal flood mapping. The results of post-processing data in this research by testing the appropriateness of the post-processing result of each geophysics correction combination model using tidal data that were already passed the data quality control. In the post-processing steps, combinations of geophysics correction models were conducted, they are: category I (ECMWF, GIM, FES2004), category II (MWR, Radiometer, GOT00.2b), and category III (MWR, DORIS, GOT0.2b). The best combination model was determined based on the results of tests including RMS error value, product moment correlation, T-test, and visualization. After the best model was determined, the trend and the sea level rise forecast for the following years were analysed using regression method. The forecasted sea level data are defined as �threat data� for year of 2015. The year were chosen based on practical consideration that is the conformity with the disaster prevention plan which must be reviewed every 5 years. To give the meaning of the threat data, then they were visualized through developing a flood map coastal area using GIS software. This results show that the best of the combination of geophysics correction model is category I (ECMWF, GIM, FES2004). The evaluation result values for category I are RMS error (1,10 m), product moment correlation (0,50), T-test (0,19), and visually is the most suitable with the tidal pattern. From the chosen combination of geophysics correction model, Satellite Altimetry data were analyzed to get the trend of mean sea level rise and to obtain the equation, that is y = 0,051x + 1,612. The forecasted sea level rise for 2015 is 25,5 cm. The percentages of the potentially flooded area in the western coastal area in Buleleng for 2015 is 7,396%.