Virtual Booth

Floods have a lot of negative effects on the environment and society. Overflowing water from floods submerges the landmass, destroying infrastructure, built environments, and agricultural fields. Understanding the contributing elements and developing a precise map for flood susceptibility are the flood susceptibility problems. The aim of this research is to assess the frequent floods event at Selangor, Malaysia using Multiple-Criteria Decision Analysis (MCDA) model and Sentinel-1 SAR. In order to fulfill the aim, the objectives of this study are to determine flooded area based on flood marks related to Department of Irrigation and Drainage (DID) rainfall volume and water level record (2020-2022), to determine flooded area using Sentinel-1 imagery and to evaluate the susceptible area of flooded using AHP and Sentinel-1 SAR. Based on previous study, Analytic Hierarchy Process (AHP) has been used for finding the parameter of flood susceptibility. The flood susceptibility was assessed using Geographic Information System (GIS) and assigned weights through a Multi-Criteria Decision Analysis technique, specifically the Analytic Hierarchy Process (AHP). A pairwise comparison matrix with consistency ratio (CR=0.02) was used to provide weightage values to these criteria, demonstrating the acceptability of the prioritizing matrix. Sentinel-1 SAR sensor data will be used to identify flood-prone locations. The result of this research will be producing high precise map illustrating susceptibility to flooding for the flood-prone area. This study can be a useful tool for determining flood risk areas and planning flood mitigation and control strategies.