Abstract
Cabenge River is part of the WalanaeCenranae River area in Soppeng Regency. Annually, the area around the Cabenge River gets the most losses from floods, both in terms of facilities and infrastructures. This study aims to map the areas prone to flood and flood risk, based on the field that gets the most significant impact. This study uses a Geographic Information System (GIS) as a tool and ArcGis Software in determining the level of vulnerability and risk of flooding at the study site. This type of research is a combination of mapping (topographic results) and map analysis. The variables used are DEM (Digital Elevation Model) data and flood volume. The data processing technique used is the GIS-based inundation model approach using inundation height (H) based on a comparison between the volume of water (V) in inundated areas and the volume of water (Q) of flood sources. The results showed that Lilirilau District was in the high hazard class with an area of 100 km2 and had the biggest impact, while in Liliriaja District, the area that was in a high hazard class was 34 km2 and Ganra District was 21 km2.
Highlights
There are two main causes of flood, namely high rainfall intensity and low topographic conditions [1]
Losses caused by floods are quite large [3], making maps to determine flood risk zones based on GIS (Geographic Information Systems) [4] - [6] is needed as a step in reducing risks caused by flood disasters [7]
Whereas [12] said, in determining the level of flood vulnerability based on the results of data collection and analysis is by scoring and overlaying of three parameters namely: land use map, drainage channel density map, slope steepness map
Summary
There are two main causes of flood, namely high rainfall intensity and low topographic conditions [1]. It is caused by anthropogenic factors [2], for example, there is still the habit of throwing garbage into the river, people occupancy on the riverbanks, and the narrowing of the river due to buildings such as culverts or bridges. Whereas [12] said, in determining the level of flood vulnerability based on the results of data collection and analysis is by scoring and overlaying of three parameters namely: land use map, drainage channel density map, slope steepness map. Determination of the weighing factor is based on the magnitude of the parameter effect on flood vulnerability
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