ANNOUNCEMENTS
One of the most devastating natural disasters to hit Chennai was the 2015 floods, underscoring the critical need for effective flood mitigation and management strategies. This study employs HEC-HMS and HEC-RAS modeling to analyze and respond to flood events. Additionally, it uses the CN grid loss method to examine the relationship between rainfall and runoff, identifying key factors that contribute to flooding. Detailed flood inundation maps for the 2015 floods were created to inform future risk assessments and mitigation planning. The hydraulic and hydrologic models were calibrated and validated using historical data and the Muskingum routing method to ensure accuracy and reliability. Manning's values were utilized for accurately modeling channel and floodplain roughness. The study integrates diverse datasets, including topographic data, rainfall records, river discharge measurements, and field-based validation data to assess model performance, ensuring alignment with observed data. Additionally, structural measures such as channel creation through DEM modification were explored, providing effective suggestions for reducing inundation extent and flood depth. By leveraging these advanced modeling techniques, the study provides a comprehensive understanding of flood dynamics in Chennai and offers actionable recommendations for enhancing flood resilience and mitigating future damages.
Keywords: urban flood modeling, hydrologic calibration, inundation mapping, flood resilience, structural mitigation strategies.
