COMPARISON ANALYSIS OF INTENSITY-DURATION-FREQUENCY (IDF) RAINFALL CURVE FROM SATELLITE DATA WITH OBSERVATION DATA (CASE STUDY: WEST JAVA REGION)

Floods are among the most common natural disasters in Indonesia. Extreme rain is a phenomenon that causes negative impacts in the form of flooding. This rain can be analyzed using the Intensity, Duration and Frequency (IDF) curve To estimate the IDF curve, short-duration rainfall data are needed,...

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Bibliographic Details
Main Author: Fangia Indra, Fauziah
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/69915
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Institution: Institut Teknologi Bandung
Language: Indonesia
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Summary:Floods are among the most common natural disasters in Indonesia. Extreme rain is a phenomenon that causes negative impacts in the form of flooding. This rain can be analyzed using the Intensity, Duration and Frequency (IDF) curve To estimate the IDF curve, short-duration rainfall data are needed, but this rainfall data is not available at all observation stations in Indonesia. To overcome the limitations of rainfall data with a short duration, this study will apply the Chen formula (1983) and a modification of the Chen formula in western Java by combining daily observational rainfall data with satellite rainfall data that is widely available so that the problem of data limitations is to estimate the IDF curve. in Indonesia can be resolved. Chen's modification method in the Bandung area is generally able to improve the results of the satellite data IDF curve estimation in approaching the observational data IDF curve quite well, with the best improvement in a short duration of 3-6 hours with an RMSE value of 3.83 mm / hour. In the Citeko area, the Chen modification method was only able to improve the IDF curve estimation results for a duration greater than 6 hours with the best improvement in the 12-24 hours duration (RMSE value 5.05 mm / hour). Of the 5 station points (South Tanggerang, Cengkareng, Serang, Kemayoran, and Tanjung Priok) the IDF curve estimated using the Chen Modification formula with a duration of> 24 hours generally shows an overestimate value to the observed data.