Back close

Fluvial Geomorphological Dynamics and Flood Modelling: An Integrated Geospatial Artificial Intelligence  (GEOAI) Approach

Dept/Center/Lab: Amrita Center for Wireless Networks and Applications (AWNA)

Project Incharge:Dr. Alka Singh
Fluvial Geomorphological Dynamics and Flood Modelling: An Integrated Geospatial Artificial Intelligence  (GEOAI) Approach

The study assesses the post-flood impact on geomorphology and vegetation in the Periyar River basin. It aims to develop a flood prediction model using MIKE-FLOOD and ML, followed by analyzing post-flood geomorphological dynamics and vegetation patterns. The ultimate goal is to derive a flood preparedness and mitigation model to minimize the impact of future flood events. 2018 and 2019 Periyar flood were estimated using SAR data and flood depth estimation using GEE and Mike+ model. Dam discharge data from Neeleswaram , Vandiperiyar and Boothathankettu has been collected. 2D Flood modelling is in progress based on high resolution GPM rainfall and dam discharge making these to 3 points as separate watersheds into the model. In Periyar river significant morphometric changes were not observed, therefore additional study area of Kosi river has been added for further exploration.

Amrita Team Members: Shebin S M

Name of the International Collaborators: Prof. Guido, Univ of Trento Italy

Related Projects

Low Cost Lift System for senior and Disabled Citizens at Rural and Peri-Urban Railway Stations
Low Cost Lift System for senior and Disabled Citizens at Rural and Peri-Urban Railway Stations
Improving the video encoding technique in text embedded videos using visual attention models
Improving the video encoding technique in text embedded videos using visual attention models
Inhibitory Effect of Plant Extracts on Siderophore Production in Klebsiella Pneumoniae
Inhibitory Effect of Plant Extracts on Siderophore Production in Klebsiella Pneumoniae
Statistical Semantic Networks for Concept and Document Relatedness
Statistical Semantic Networks for Concept and Document Relatedness
Identification of Human in High Speed Vehicles During Accidents
Identification of Human in High Speed Vehicles During Accidents
Admissions Apply Now