Generation of Thematic Layers for Flood Hazard Zonation Along the Banks of Koyna River Near Patan

Abstract. Landslides are very common problem in hilly terrain. Chamoli region of Himalaya is highest sensitive zone of the landslide hazards. The purpose of Chamoli landslide study, to observe the important terrain factors and parameters responsible for landslide initiation. Lithological, geomorphological, slope, aspect, landslide, drainage density and lineament density map generated in remote sensing and GIS environment. Data information of related geological terrain obtain through topographic maps, remote sensing images, field visits and geological maps. Geodatabases of all thematic layers prepared through digitization of topographic map and satellite imageries (LISS-III, LISS-IV &amp; ASTER DEM). Integrated all thematic layers applying information value method under GIS environment to map the zonation of landslide hazard zonation map validation and verification completed by field visit. The landslide hazard zonation map classified in four classes very high, high, medium and low.

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GIS based Development of MCDM Model for Flood Risk Management across Godavari Lower Sub-Basin of India

10.5194/egusphere-egu2020-4605 ◽

2020 ◽

Author(s):

B. Thanga Gurusamy ◽

Avinash D Vasudeo ◽

Aniruddha Dattatraya Ghare

Keyword(s):

Decision Making ◽

Risk Management ◽

Evolutionary Algorithms ◽

Objective Function ◽

Flood Risk ◽

Flood Hazard ◽

Flood Risk Management ◽

Flood Protection ◽

Hazard Zonation ◽

Hazard Risk

Abstract: Because of the uncertainty and high cost involved, the Absolute Flood Protection has not been considered as a rational decision. Hence the trend is to replace Absolute Flood Protection strategy by Flood Risk Management Strategy. This Paper focus on the development of Multiple Criteria Decision Making (MCDM) model towards Flood Risk Management (FRM) across Godavari Lower Sub-Basin of India using GIS based methodologies for Flood Hazard Zonation in order to achieve global minimum of the Flood predicted Risk level.&#160; Flood Hazard Zone Map for the historical flood events obtained with the use of GIS based Digital Elevation Models across the study area have been presented and used for the estimation of Hazard Risk. Uncertainty (or Control) Risk levels of each Flood estimated using various Flood Forecasting methodologies have been compared for the selected locations of the study area. Effectiveness of Passive Flood Protection Measures in the form of Flood Levees has been quantitatively analyzed for the increase in the Opportunity Risk and corresponding reduction in the Flood Hazard Risk. Various types of Multi-Objective Evolutionary Algorithms (MOEAs) have been used&#160; to determine a Compromise solution with conflicting criteria between Hazard Risk and Opportunity (or Investment) Risk and the results were compared for each of the selected levels of Flood estimated with corresponding uncertainty. Traditional optimization method in the form of Pareto-Optimal Front have also been graphically depicted for the minimization of both Hazard Risk Objective function and Opportunity Risk Objective Function and compared with those obtained using MOEAs. Watershed wise distribution of optimized Flood Risk variation across the Sub-basin has been presented graphically for both the cases of with and without active Flood Routing Measures. Keywords:&#160; Flood Risk Management; GIS based Flood Hazard Zonation; Multi-Criteria Decision Making; Multi-Objective Evolutionary Algorithms; Godavari Lower Sub-Basin of India;

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FLOOD HAZARD ZONATION AND VULNERABILITY ASSESSMENT OF GREATER SRINAGAR, J&K INDIA.

International Journal of Advanced Research ◽

10.21474/ijar01/2570 ◽

2016 ◽

Vol 4 (12) ◽

pp. 1679-1690 ◽

Cited By ~ 1

Author(s):

HakimFarooq Ahmad ◽

◽

M.Sultan Bhat ◽

Akhtar Alam ◽

Shabir Ahmad ◽

...

Keyword(s):

Vulnerability Assessment ◽

Flood Hazard ◽

Hazard Zonation

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Corrigendum to “Potential flood hazard zonation and flood shelter suitability mapping for disaster risk mitigation in Bangladesh using geospatial technology” [Volume 11, October 2021, 100185]

Progress in Disaster Science ◽

10.1016/j.pdisas.2021.100207 ◽

2021 ◽

pp. 100207

Author(s):

Kabir Uddin ◽

Mir A. Matin

Keyword(s):

Risk Mitigation ◽

Flood Hazard ◽

Disaster Risk ◽

Hazard Zonation ◽

Geospatial Technology

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Geographic information system and AHP-based flood hazard zonation of Vaitarna basin, Maharashtra, India

Arabian Journal of Geosciences ◽

10.1007/s12517-018-3933-4 ◽

2018 ◽

Vol 11 (19) ◽

Cited By ~ 18

Author(s):

Sumit Das

Keyword(s):

Information System ◽

Geographic Information System ◽

Flood Hazard ◽

Geographic Information ◽

Hazard Zonation

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Flood hazard zonation of upper kolodyne using GIS and multi criteria decision analysis in Mizoram, India

Disaster Advances ◽

10.25303/1412da001012 ◽

2021 ◽

Vol 14 (12) ◽

pp. 1-12

Author(s):

Ch Vabeihmo ◽

Malsawm Tluanga ◽

John Blick ◽

Sathing Sangchungnunga ◽

Francis Zodinthara

Keyword(s):

Geographic Information Systems ◽

Decision Analysis ◽

Flood Control ◽

Flood Hazard ◽

Control Measures ◽

Hazard Zonation ◽

Multi Criteria Decision Analysis ◽

The Past ◽

International Border ◽

Very High

Kolodyne is the largest river in Mizoram. The river originates in Myanmar where it flows in a southerly direction and enters Mizoram where it is called Chhimtuipui river and it becomes the international border between India and Myanmar. The Kolodyne river meets several rivers in Mizoram before it enters Chin State in Myanmar again. The upper Kolodyne river has caused destructive floods recently, however, attempts to delineate the flood hazard zones have not been carried out. This river is a source of livelihood for many families in the region and it had wrecked havoc in the past monsoon seasons with the loss of lives and property. The potential flood hazard zonation of the upper Kolodyne watershed using geographic information systems and multi-criteria decision analysis has revealed that about 40% of the total watershed fall in the high and very high potential zones and flood control measures are needed to be updated.

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