ANNOUNCEMENTS
The Maijan Lake wetland in Dibrugarh district of Assam holds crucial significance in flood control efforts. Located in a region that has experienced changes in Land Use and Land Cover (LULC) due to urbanization, industrialization, and agriculture, the Maijan Lake ecosystem has likely been impacted. The climate characteristics of the Dibrugarh district, including temperature variations, rainfall patterns, and humidity levels, influence the wetland and its functioning. The area is prone to flooding, driven by factors such as heavy and irregular rainfall and alterations in the catchment area. Wetlands, including Maijan Lake, play a vital role in flood control by acting as natural buffers that absorb and store excess water during high rainfall events. They regulate water flow, mitigating the risk of downstream flooding and minimizing damage to human settlements and infrastructure. To assess the wetland's capacity for flood control through surface runoff management, models like HEC-HMS and HEC-RAS are employed to compute run-off and analyse unsteady flow characteristics. These models provide quantitative insights into water flow patterns, flood behaviour, and the effectiveness of flood mitigation measures. By utilizing these models, it becomes possible to evaluate the potential of the Maijan Lake wetland and its surrounding catchment area for flood control purposes. This comprehensive approach aids in developing informed strategies to mitigate floods, reduce risks, and enhance the resilience of the region's communities and ecosystems.
Keywords: Floods, Maijan Lake, HEC-HMS, HEC RAS, IDF Curves, Machine Learning LULC.
