MAGNITUDE AND INTENSITY OF URBAN FLOOD IN KOLKATA MUNICIPAL CORPORATION USING ANALYTICAL HIERARCHY PROCESS BY MULTI-CRITERIA DECISION ANALYSIS

Abstract

Urban flooding in Kolkata is an increasing challenge that is characterized by rapid urbanization. Other important factors include inadequate drainage, and climate change, which leads to frequent flooding in Kolkata municipal areas. This study explores the primary causes of flooding. The majority of the causes include natural, anthropogenic, and climatic factors. Therefore utilization of a combination of the Analytical Hierarchy Process (AHP) and Multi-Criteria Decision Analysis (MCDA), the research has evaluated the flood risk along with the models that have predictability regarding potential future flood scenarios with SWAT, HEC-RAS, and SWMM. The findings highlight the requirement for improved infrastructure, flood control, and climate adaptation measures. This data-driven approach provides valuable insights for urban planners along with policymakers to improve flood resilience in Kolkata.