Geoinformatics based assessment of coastal multi-hazard vulnerability along the East Coast of India

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

doi:10.1007/s41324-018-00236-y

Cited by 13 publications

(9 citation statements)

References 31 publications

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“…In this section, discussing about data and methods adopted for the social vulnerability studies. There are varieties of tools and techniques which are used to analyze social vulnerability in all over the globe (Cutter et al 2000;Cutter and Emrich 2006;Basheer Ahammed and Pandey 2019a). Tropical cyclone and associated flood are major concern to the global population and environment.…”

Section: Parameters For Vulnerability and Risk Analysismentioning

confidence: 99%

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

Ahammed

Pandey

2019

KN J. Cartogr. Geogr. Inf.

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People around the world are prone to frequent and intensive hazards due to the global climate change scenario and human interventions. Particularly, the coastal communities are always prone to various long-term coastal hazards like sea-level rise, shoreline changes, and short-term hazards like tsunami cyclone and storm surge. Coastal Andhra Pradesh state is consisting of 9 district and 670 villages and also having 3.43 Million Population (69.3%). Andhra Pradesh has a vast 972 km long coastline and total coastal area spread over 92,906 km 2 comprising the nine coastal districts. Andhra Pradesh state is prone to various natural hazards, especially cyclone and associated storm surges. There is an extreme loss of life and damage to properties caused by these cyclones. During the past 40 years Andhra Pradesh coast experienced more than 62 cyclones including depression, cyclone surge, and severe cyclone surges. Among these cyclones, there were 32 cyclones which affected the Krishna-Godavari region, comprising four districts, namely East Godavari, West Godavari, Krishna, and Guntur. Therefore, these four districts have been considered for this social vulnerability study to identify the cyclone vulnerable villages. Geospatial applications are used in this study for spatial and non-spatial data processing and spatial analysis. The study indicated that half of the study area (3121.07 km 2 ) lying moderately risk zone and around 7% of the study area observed high vulnerability. This study revealed that the use of geospatial application is most reliable and cost-effective approach for vulnerability and risk mapping and analysis. The result obtained from the present study may serve the baseline information for disaster management planning in the area.

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Section: Parameters For Vulnerability and Risk Analysismentioning

confidence: 99%

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

Ahammed

Pandey

2019

KN J. Cartogr. Geogr. Inf.

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“…The cyclone track selected for Orissa to study was super cyclone of 1999 which was known worst event in the area. cyclonic rainfall spread throughout the coastal districts of Odisha state, and effectively covering the area more than 200 km 2 . The maximum intensity of cyclonic rainfall more than 200 mm was observed and as a result, these were more prone to floods and damages (Patel & Sahoo 2018).…”

Section: Storm Surge Modeling Results Of Orissamentioning

confidence: 99%

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

Prince

Nirmala

Mahendra

et al. 2022

AJW

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The study aims to estimate the extent of inundation and depth due to a storm surge event by selecting a worst-case cyclone track scenario for Andhra Pradesh, Odisha and West Bengal on the basis of historic data. Storm surge model results for the Orissa cyclone suggest that over 2,150 km2 of land is inundated with an extent of 45 km from the shoreline and 1,100 km2 area submerged with 1-2 m from the ground. Andhra’s model suggests that about 450 km2 of the area is inundated due to which the majority of the area is submerged <1 m from the ground. The West Bengal model is carried out using a synthetic track with a wind speed of 155 knots based on the recent cyclonic storm in Bangladesh. The result shows 5,400 km2 of land submerged by <1 m about 2,700 km2 of the area was submerged by 1-2 m of water. The most affected areas were South 24 Parganas and parts of Bangladesh.

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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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Geoinformatics based assessment of coastal multi-hazard vulnerability along the East Coast of India

Cited by 13 publications

References 31 publications

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

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

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

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

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