GIS Based Method for Flood Hazard Assesment in Kobe River Watershed - North Maluku Province

Abstract

The objectives of this study are to mapping the hazard-prone area and to analyse the flood vulnerability index in Kobe Watershed, Central Halmahera District. In order to determine the optimal selection of weights for the factors that contribute to flood risk, GIS and multi-criteria decision analysis (MCDA) were used in conjunction with the application of the analytical hierarchy process (AHP) method to create the flood hazard map. The flood hazard map was generated by using selected hazard factors including land use, topography, slope, and rainfall pattern. The result shows that the Kobe River basin is a flood-prone area, with 77.46 percent of its land classified as less prone to flooding and 21.41 percent classified as flood-prone. However, only 21.41 percent of its land is classified as flood-prone. Only 1.13 percent of the land is protected from the danger of floods, compared to the whole country. The altitude factor is the most important element influencing flood susceptibility in Weda District, where the majority of the land (16.34 percent) is located at or below sea level, making it particularly vulnerable to flooding.

Flood Risk Mapping Using GIS and Multi-Criteria Analysis at Nanga Pinoh West Kalimantan Area

“…A GIS-based weighted multi-criteria analysis (MCA) (Nagu et al, 2021;Roy et al, 2021) was used to determine flood risk areas in Nanga Pinoh Watershed, West Kalimantan. The method involved integrating five flood conditioning factors, including slope (S), soil type (ST), total precipitation (TP), drainage density (DD), and land use land cover (LULC).…”