The IDENTIFICATION OF FLOOD VULNERABILITY PARAMETERS USING SCORING AND OVERLAY METHODS TO DETERMINE FLOOD ZONING IN NORTH SEMPAJA VILLAGE
Keywords:
Flood, Vulnerable, Scoring and overlay, Below Surface, SamarindaAbstract
Flood disasters are one of the natural disasters that often occur in Indonesia, flood disasters are spread almost throughout Indonesian cities. The city of Samarinda is one of the big cities in Kalimantan with the frequency of floods almost every year, this is seen from the varied climate and the role of humans. The purpose of this research is to create a flood vulnerability zoning in the Samarinda city area, namely North Sempaja village, the research method used is through GIS (Geographic Information System) in the form of overlays and scoring based on flood vulnerability parameters such as river buffer, soil type, slope slope, altitude/topography, rainfall, land cover. To support the data in the research area, this study also analyzed the subsurface using the Active Digital Magnetotelluric (ADMT) method. Based on the results of the overlay and scorring analysis that has been carried out, it is divided into 3 classes of flood vulnerability, namely safe, vulnerable, and very vulnerable. Each class has different characteristics, the class is very prone to have characteristics, namely being at an altitude of 0 to 25 m, slope of flat slopes to sloping, the dominance of land cover in the form of settlements, rice fields, water bodies and zoning is very prone to being close to the river side, the vulnerable class is dominant at an altitude of 25 – 50 m, the slope of the slope varies flat to slightly steep, The dominance of land cover is in the form of bushes, rice fields and a few settlements, quite close to the river side, the last safe class is at an altitude of 50 to more than 100 m, the slope is slightly steep to very steep, the dominance of forests, bushes, and far from the river side. In addition to GIS analysis, the analysis of the ADMT method obtained a water-saturated layer in the form of clay and silt, groundwater, this analysis was then linked to the potential for flooding to subsurface geological factors in North Sempaja Village.
