Hydrodynamic Modeling for Identifying Flood Vulnerability Zones in Mahi Lower Sub-basin

2021 ◽  
pp. 687-697
Author(s):  
R. Rathod Krina ◽  
Sudhanshu Dixit
Keyword(s):  
Hydrodynamic Modeling ◽  
Flood Vulnerability

scholarly journals Hydrodynamic modeling for identifying flood vulnerability zones in lower Damodar river of eastern India

2020 ◽  
Vol 11 (4) ◽  
pp. 1035-1046
Author(s):  
Ravindra Kumar Singh ◽  
Vasanta Govind Kumar Villuri ◽  
Srinivas Pasupuleti ◽  
Rajesh Nune
Keyword(s):  
Hydrodynamic Modeling ◽  
Eastern India ◽  
Flood Vulnerability ◽  
Damodar River

Hydrodynamic Modeling for Stationary Breaking Waves

2004 ◽  
Author(s):  
David T. Walker ◽  
Ales Alajbegovic ◽  
Jason D. Hunt
Keyword(s):  
Breaking Waves ◽  
Hydrodynamic Modeling

Hydrodynamic Modeling of Diego Garcia Lagoon

2014 ◽  
Author(s):  
P. F. Wang ◽  
C. N. Katz ◽  
D. B. Chadwick ◽  
R. Barua
Keyword(s):  
Hydrodynamic Modeling ◽  
Diego Garcia

Multi-Criteria Decision Making for Vulnerability Mapping of Flood Hazard: A Case Study of Pune City

2019 ◽  
Vol 2 (1) ◽  
pp. 41-52
Author(s):  
Nitin Mundhe
Keyword(s):  
Decision Making ◽  
Flood Hazard ◽  
Geographical Information ◽  
Multi Criteria Decision Making ◽  
Flood Hazards ◽  
Very High Frequency ◽  
Flood Vulnerability ◽  
Natural Risk ◽  
The Town

Floods are natural risk with a very high frequency, which causes to environmental, social, economic and human losses. The floods in the town happen mainly due to human made activities about the blockage of natural drainage, haphazard construction of roads, building, and high rainfall intensity. Detailed maps showing flood vulnerability areas are helpful in management of flood hazards. Therefore, present research focused on identifying flood vulnerability zones in the Pune City using multi-criteria decision-making approach in Geographical Information System (GIS) and inputs from remotely sensed imageries. Other input data considered for preparing base maps are census details, City maps, and fieldworks. The Pune City classified in to four flood vulnerability classes essential for flood risk management. About 5 per cent area shows high vulnerability for floods in localities namely Wakdewadi, some part of the Shivajinagar, Sangamwadi, Aundh, and Baner with high risk.

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