Coastal Social Vulnerability and Risk Analysis for Cyclone Hazard Along the Andhra Pradesh, East Coast of India

Ahammed, K. K. Basheer; Pandey, Arvind Chandra

doi:10.1007/s42489-019-00029-9

Cited by 30 publications

(6 citation statements)

References 20 publications

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“…Additionally, to examine socio-economic vulnerability, population data, shelter home, statistical data on education (i.e., literacy rate, dependency on education and related jobs etc. ), age proportion, labour (agricultural and migrated), cultivator, family structure, and social dependence are mainly considered [39,40]. However, recognition of the socio-economic data from different sources in the local context is more useful in mapping and analyzing the spatiotemporal dynamics of flood risk [41,42].…”

Section: Introductionmentioning

confidence: 99%

Flood Hazard and Risk Zonation in North Bihar Using Satellite-Derived Historical Flood Events and Socio-Economic Data

2022

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North Bihar is one of the most flood-affected regions of India. Frequent flooding caused significant loss of life and severe economic damages. In this study, hydroclimatic conditions and historical flood events during the period of 2001 to 2020 were coupled over different basins in North Bihar. The main objective of this study is to assess the severity of floods by estimating flood hazards, vulnerability and risk in North Bihar. The uniqueness of this study is to assess flood risk at the village level as no such study was performed earlier. Other thematic data, namely, land-use and drainage networks, were also utilised with flood maps to validate the severity of the event. MOD09A1 satellite data (during 2001–2020) derived indices were used to derive inundation extents and flood frequency. Socio-economic vulnerability (SEV) was derived based on seven census parameters (i.e., population density, house-hold density, literacy rate, agricultural labour, and cultivator, total male, and female) and coupled with flood hazard to derive flood risk over the study region. The study exhibited that a total ~34% of the geographical area of North Bihar was inundated in the last 20 years and the maximum flood extent was seen in 2020. Flood risk map exhibited that ~7%, ~8%, ~13%, ~4%, and ~2% of the geographical area was mapped under Very High, High, Moderate, Low, and Very Low categories, respectively. The 2770 and 3535 number of villages was categorized under Very High and High flood risk zone which are located in north-central and central-western regions. These findings can be applied to distinguish and classify areas of various risk zones to assist in flood mitigation and management activities.

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Section: Introductionmentioning

confidence: 99%

Flood Hazard and Risk Zonation in North Bihar Using Satellite-Derived Historical Flood Events and Socio-Economic Data

2022

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“…The frequency of cyclones, especially stronger ones, has been increasing on the eastern coast of India in the last five decades [56], which may be attributed to climate change. The Government of Odisha has made tremendous strides in the last two decades in protecting lives during disasters.…”

Section: Discussionmentioning

confidence: 99%

Building Resilience of Critical Infrastructure: A Case of Impacts of Cyclones on the Power Sector in Odisha

Mohanty

Chatterjee

Shaw

2020

Climate

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Odisha is multi-hazard-prone state in the eastern part of India. Among the various disasters, the frequency and severity of cyclones have increased at an alarming rate in the last two decades, which is attributed to climatic change. The state government of Odisha has made great strides in reducing the lives lost in the state, but an increase in economic losses and damage to critical infrastructure has become a point of worry. Considering the power sector as the most crucial of all critical infrastructures, this paper explores the impact that cyclones have had on the sector in the last two decades in Odisha. The 4R concept of robustness, redundancy, rapidity and resourcefulness is applied to the power sector, and how this is supported by governance is studied. The study points towards need for the master planning of critical infrastructure, based on the risk assessment, establishment of funding mechanisms for mitigation measures and the standardization and quality checking of power sector equipment to withstand the wind speeds of category 4 and above. There needs to be a good coordination between the power sector and the disaster management sector with proper legislative provision. Knowledge management, training and capacity building is another important issue which needs to be focused on.

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“…There are four broad aspects dealt in the present study such as: (1) (2) A shnet grid of size 1 0 ×1 0 was generated using ArcMap in order to estimate the distribution of frequency, (3) Cyclone track was selected at each state pertaining to high cyclone vulnerable location and a worst case scenario was assumed at these locations. This means the high intensity cyclone scenario was considered for storm surge modeling using the Advanced Circulation (ADCIRC) model to estimate inundation in each state of major cyclone which helps in determining the area affected and (4) Also generated spatial distribution map by kriging interpolation method in ArcGIS 10.3 version in order to get storm surge inundation depth on continuous images on regular surface.…”

Section: Data Used and Methodologymentioning

confidence: 99%

Storm Surge Hazard Assessment Along the East Coast of India Using Geospatial Techniques

Prince

Nirmala

Mahendra

et al. 2020

Preprint

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The present study is to estimate the inundation extent and depth to estimate the extent of damage using geospatial technique caused due to a storm surge. This is achieved by selecting a worst-case cyclone track (Super Cyclonic Storm) scenario for three Indian states, Andhra Pradesh, Odisha and West Bengal based on the historic data. Over 1300 cyclones are observed to have hit the east coast of India in the past 173 years, which is about an average of more than 7 cyclones per year. Geospatial model results for Orissa cyclone (1999) suggests that over 2,150 km2 of land is submerged due to storm surge. The inundation was observed up to an extent of 45 km inland upright to the shoreline with over 1,100 km2 area submerged 1-2m from ground level. This is the worst cyclone (with peak speed 140 knots) of the country known so far to have caused maximum damage. The storm surge model of Andhra cyclone (1996) suggests that about 450 km2 of area inundated due to storm surge where majority of the area is submerged up to1m of water pile. The most affected place is Mummidavaram. Whereas, the results of storm surge model for the state of West Bengal is carried out using a synthetic track passing through West Bengal coast with wind speed of 155 knots (worst case). The model result shows 5,400 km2 of land submerged up to 1m of water and about 2,700 km2 of area submerged under 1-2m of water. The most affected area is South 24 Parganas and parts of Bangladesh. The results of the current study are useful for the coastal cyclone disaster management in order to make decisions on preparedness and disaster risk reduction. These results can also be used for the coastal future development purposes.

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Coastal Social Vulnerability and Risk Analysis for Cyclone Hazard Along the Andhra Pradesh, East Coast of India

Cited by 30 publications

References 20 publications

Flood Hazard and Risk Zonation in North Bihar Using Satellite-Derived Historical Flood Events and Socio-Economic Data

Flood Hazard and Risk Zonation in North Bihar Using Satellite-Derived Historical Flood Events and Socio-Economic Data

Building Resilience of Critical Infrastructure: A Case of Impacts of Cyclones on the Power Sector in Odisha

Storm Surge Hazard Assessment Along the East Coast of India Using Geospatial Techniques

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