scholarly journals Data-driven flood hazard zonation of Italy

2021 ◽  
Vol 294 ◽  
pp. 112986
Author(s):  
Ivan Marchesini ◽  
Paola Salvati ◽  
Mauro Rossi ◽  
Marco Donnini ◽  
Simone Sterlacchini ◽  
...  
2020 ◽  
Author(s):  
B. Thanga Gurusamy ◽  
Avinash D Vasudeo ◽  
Aniruddha Dattatraya Ghare

<p><strong>Abstract: </strong>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.  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  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. <strong>Keywords:  </strong>Flood Risk Management; GIS based Flood Hazard Zonation; Multi-Criteria Decision Making; Multi-Objective Evolutionary Algorithms; Godavari Lower Sub-Basin of India;</p>


2016 ◽  
Vol 4 (12) ◽  
pp. 1679-1690 ◽  
Author(s):  
HakimFarooq Ahmad ◽  
◽  
M.Sultan Bhat ◽  
Akhtar Alam ◽  
Shabir Ahmad ◽  
...  

2021 ◽  
Vol 14 (12) ◽  
pp. 1-12
Author(s):  
Ch Vabeihmo ◽  
Malsawm Tluanga ◽  
John Blick ◽  
Sathing Sangchungnunga ◽  
Francis Zodinthara

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.


2020 ◽  
Vol 103 (3) ◽  
pp. 3263-3301
Author(s):  
Neeraj Pant ◽  
Rajendra Kumar Dubey ◽  
Anand Bhatt ◽  
Shive Prakash Rai ◽  
Prabhat Semwal ◽  
...  

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