Assessment of flood vulnerability index for Krishna river basin in Krishna, Guntur and Prakasam Districts of Andhra Pradesh

2021 ◽  
Author(s):  
K. V. R. Satya Sai ◽  
A. Manjunath ◽  
S. Krishnaiah
Keyword(s):  
River Basin ◽  
Andhra Pradesh ◽  
Vulnerability Index ◽  
Flood Vulnerability ◽  
Flood Vulnerability Index

"Catastrophic Risk Assessment, Using Integrated Multi-Criteria Flood Vulnerability Index for Various Spatial and Temporal Mining Scales : A Case Study of Kosi Flood Affected Five Districts"

2015 ◽  
Vol 6 (2) ◽  
Author(s):  
Prince Divakar Saxena ◽  
Sanjay Pande
Keyword(s):  
Decision Making ◽  
River Basin ◽  
Urban Areas ◽  
Vulnerability Index ◽  
Flood Vulnerability ◽  
Policy Makers ◽  
Spatial And Temporal Scales ◽  
Decision Making Processes ◽  
Main Components ◽  
Flood Vulnerability Index

Human population worldwide is vulnerable to natural disasters, which are increasing due to the consequences of socio-economical and land-use developments and due to climate change. In recent years the impacts of floods have gained importance because of the increasing amount of people who are affected by its adverse effects. In this study a methodology to compute a flood vulnerability index, based on indicators, is developed, aiming at assessing the conditions which favour flood damages at various levels: river basin, sub-catchment and urban area. This methodology can be used as a tool for decision making to direct investments at the most needed sectors. Its implementation could guide policy makers to analyse actions towards better dealing with floods. The methodology involves two concepts. First, vulnerability, which covers three related concepts called factors of vulnerability: exposure, susceptibility and resilience. The other concept concerns the actual flooding; understanding which elements of a system is suffering from this natural disaster. Three main components of a system are recognized which are affected by flooding: social, economical and environmental The interaction between the vulnerability factors and the components serves as the base of the proposed methodology. The methodology has been applied in various case studies spatial and temporal scales, which resulted in interesting observations on how vulnerability can be reflected by quantifiable indicators. The testing results indicate that the FVI of a river basin as a whole can be better reflected by the average FVI of its sub-catchments, thereby improving decision-making processes at regional levels. However, the average FVI of urban areas does not reflect the FVI of the sub-catchment or river basin in which they are located.

Flood vulnerability indices at varying spatial scales

2009 ◽  
Vol 60 (10) ◽  
pp. 2571-2580 ◽  
Author(s):  
S. F. Balica ◽  
N. Douben ◽  
N. G. Wright
Keyword(s):  
Urban Area ◽  
River Basin ◽  
Spatial Scales ◽  
Vulnerability Index ◽  
Flood Damage ◽  
Flood Vulnerability ◽  
Depth Analysis ◽  
Local Decision ◽  
High Flood ◽  
Flood Vulnerability Index

Populations around the world are vulnerable to natural disasters. Such disasters are occurring with increased frequency as a consequence of socio-economic and land-use developments and due to increased climate variability. This paper describes a methodology for using indicators to compute a Flood Vulnerability Index which is aimed at assessing the conditions which influence flood damage at various spatial scales: river basin, sub-catchment and urban area. The methodology developed distinguishes different characteristics at each identified spatial scale, thus allowing a more in-depth analysis and interpretation of local indicators. This also pinpoints local hotspots of flood vulnerability. The final results are presented by means of a standardised number, ranging from 0 to 1, which symbolises comparatively low or high flood vulnerability between the various spatial scales. The Flood Vulnerability Index can be used by international river basin organisations to identify and develop action plans to deal with floods and flooding or on smaller scales to improve local decision-making processes by selecting measures to reduce vulnerability at local and regional levels. In this work the methodology has been applied to various case studies at different spatial scales. This leads to some interesting observations on how flood vulnerability can be reflected by quantifiable indicators across scales, e.g. the relationship between the flood vulnerability of a sub-catchment with its river basin or the weak relation between the flood vulnerability of an urban area with the sub-catchment or river basin which it belongs to.

scholarly journals Analysis of applicability of flood vulnerability index in Pre-Saharan region, a pilot study to assess flood in Southern Morocco

2016 ◽  
Author(s):  
A. Karmaoui ◽  
S. F. Balica ◽  
M. Messouli
Keyword(s):  
Urban Areas ◽  
Social Economic ◽  
Regional Climate ◽  
Regional Climate Change ◽  
Vulnerability Index ◽  
Catchment Scale ◽  
Flood Vulnerability ◽  
The Status ◽  
Numerical Index ◽  
Flood Vulnerability Index

Abstract. Abstract. Moroccan Pre-Saharan zone is an oasis system, which it is characterised by extreme events, like drought and flood. The flood risks will likely increases in frequency and magnitude due to global and regional climate change. Flood tends to have an important impact on isolated and poor regions such as oasis regions. This paper aims the analysis of applicability of Flood Vulnerability Index (FVI) in pre-Saharan region of Morocco. The FVI, it is a numerical index that reflects the status of a region's flood vulnerability. It was determined for four components social, economic, physical, and environmental. These components can help to assist to propose strategies for improvement of the holistic system. For this study five sub-catchments were selected: Upper Draa Valley (UDV), Middle Draa Valley (MDV), Tata sub-catchment, Guelmim sub-catchment and Tafilalt sub-catchment; and five urban areas, Ouarzazate, Zagora, Tata, Guelmim and Errachidia. A comparative analysis of the results from thus areas allows us to assess the applicability of the FVI. The overall FVI for these areas was determined by the calculating and standardisation of 36 indicators for each sub-catchment scale and 34 for each urban scale.

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