IDENTIFIKASI FAKTOR-FAKTOR FISIK DAN PEMETAAN TINGKAT KERAWANAN BANJIR BANDANG BERBASIS SISTEM INFORMASI GEOGRAFIS DI WILAYAH SUBDAS IJOGADING, DAS SOWAN, KABUPATEN JEMBRANA, PROVINSI BALI

The Ijogading River is one of the rivers that frequently experiences floods in Jembrana Regency, Bali Province. In 2017, the embankment of the Ijo Gading River collapsed due to the flooding that occurred. In 2018, dozens of houses in the Jembrana Regency area were submerged in floods caused by the o...

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Bibliographic Details
Main Author: Mauliyani, Nurdian
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/76731
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Institution: Institut Teknologi Bandung
Language: Indonesia
Description
Summary:The Ijogading River is one of the rivers that frequently experiences floods in Jembrana Regency, Bali Province. In 2017, the embankment of the Ijo Gading River collapsed due to the flooding that occurred. In 2018, dozens of houses in the Jembrana Regency area were submerged in floods caused by the overflowing of the Ijogading River. The floods around the Ijogading River continue to occur every year and have significant impacts on the surrounding river area, both in terms of material and non-material damage and losses. Therefore, anticipation for flash flood events needs to be carried out as an effort for flash flood mitigation. This research aims to determine the level of flash flood vulnerability in the Ijogading Sub-Watershed, Sowan Watershed, Jembrana, Bali, and identify the factors causing the vulnerability of flash floods as one of the early warning information for flash flood occurrences. In this study, the overlay and scoring methods were used using the existing flood parameters. These parameters were assigned appropriate weight values based on their classifications and multiplied by the available scores. They were then summed with other parameters and subsequently overlaid. The results of this research are presented in the form of a flash flood vulnerability map in the Ijogading Sub-Watershed, indicating that the area is generally classified as vulnerable to highly vulnerable, with a vulnerability area of 0,938 Km² (4,77%) classified as highly vulnerable, 17,619 Km² (89,56%) as vulnerable, and 1,108 Km² (5,63%) as not vulnerable