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Preparation of Inundation Maps by Developing Unsteady Flow Model of Pamba River- Decision Support System for Disaster Management
Author(s) -
V. Johnpaul,
Calpurnia Jayakumar,
Raveendran Sindhu,
N. Balasundaram,
S. Solai Mathi
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1006/1/012003
Subject(s) - hydrograph , flood myth , inflow , preparedness , downstream (manufacturing) , flow (mathematics) , environmental science , hydrology (agriculture) , flood control , emergency management , water resource management , geography , geology , engineering , operations management , meteorology , geotechnical engineering , geometry , mathematics , archaeology , political science , law
Nowadays extreme rainfall events are more frequent across our country. Controlled releases from reservoirs would be necessitated to ensure the safety of dams and people downstream during extreme inflow. Mitigation measures are to be planned and preparedness actions to be taken effectively to reduce the impact of such catastrophe at downstream flood plains of reservoirs. Advance information on the extent of the area likely to be in undated consequent to releases from reservoirs is vital in developing an effective action plan for the timely evacuation of people. In the present study, it has been attempted to develop an unsteady flow model of the Pamba River in Kerala& the flood plain downstream for determining the area likely to be inundated corresponding to a largely controlled release in the tune of 900m3/s. The unsteady flow model is developed in HEC-RAS to study the flow behavior of flood wave caused by the flow hydrograph with peak 900m3/s as it propagates to the downstream plains. From the studies, it is found that the transformation of flow profile of flood wave can be better estimated using the HEC-RAS 2D flow model and the results can be used as important information in the decision-making process for Disaster Management Authorities.

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