Urban flood risk assessment using fuzzy logic and real-time flood simulation model – a geomatics techniques

Urban areas worldwide are increasingly facing the challenges of flooding, and the region in our study area is no exception. To analyze flood dynamics in these rapidly urbanizing environments, this research conducted a comprehensive study through integrated geomatics techniques such as Multidated satellite image analysis, digital elevation models (DEM), and Fuzzy Overlay Analysis. Our approach involved hourly rainfall data analysis, flood modeling, with limited field verification, and community surveys to assess the interplay of urbanization, inadequate drainage infrastructure, and climate change in exacerbating flood risks. The study focuses on flood risk zonation and urban flood simulation modeling, leveraging critical parameters including soil type, rainfall intensity, drainage systems, land slope, urban development, and transportation networks. Satellite imagery and image processing revealed a substantial urban expansion from 0.55 km² in 2000 to 14.96 km² in 2023. Using Fuzzy Overlay Analysis, flood risk zones were categorized into high, moderate, and low classes, covering 17.61 km², 18.30 km², and 6.70 km², respectively. A 48-h rainfall dataset supported the development of a flood simulation model, which was validated with field photographs and the AUC curve method for validation 0.881 to enhance model reliability. This research underscores the importance of geomatics in urban flood management, emphasizing resilient planning and disaster preparedness as essential strategies for mitigating flood impacts in vulnerable urban zones.