Application Of Gis For Cyclone Vulnerability Analysis Of Bangladesh
Hossain, M.s (),
Karlson, M and
Neset, T.-S
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Hossain, M.s: Department of Environmental Science, Stamford University Bangladesh, Dhaka 1209, Bangladesh
Karlson, M: Department of Thematic Studies-Environmental Change, Linkoping University, 58183 Sweden
Neset, T.-S: Center for Climate Science and Policy Research, Linkoping University, 58183 Sweden
Earth Sciences Malaysia (ESMY), 2019, vol. 3, issue 1, 25-34
Abstract:
Cyclones are one of the most common and foremost natural hazards in the world that causes extensive causalities. Bangladesh is highly vulnerable to cyclone hazard for its geographical location and socio-economic conditions. This study has aimed to analyze the historical cyclonic hazards and creating vulnerability maps and risk maps for Bangladesh. The apposite variables were selected by reviewing pertinent literatures and necessary data were retrieved for 1900 to 2015. GIS tool has been used for visualization of weighed scores for hazard, vulnerability and risk based on historical cyclones’ intensities, magnitudes, causalities and existing coping capacities. Moreover, hotspot analysis that implies Getis-Ord Gi* spatial statistics was also used in this study to identify the patterns of spatial significance and relationship of areas among their neighbors. This analysis produced Z scores from weighed variables those were proportional to the degree of vulnerability and risk. The low negative to high positive Z scores are correlative of low to high cyclone vulnerability and risk. Consequently, the weighed scores have elicited the coastal areas are in front line in terms of vulnerability and risk to cyclone. Besides, Gi* revealed that some areas are significantly risk prone for being spatially influenced by their neighbors.
Keywords: Bangladesh; cyclone; risk; mapping; hotspot analysis; spatial analysis; natural hazards; coping capacity. (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:zib:zbesmy:v:3:y:2019:i:1:p:25-34
DOI: 10.26480/esmy.01.2019.25.34
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