2019
DOI: 10.9734/jsrr/2019/v23i530135
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Indicator Based Spatial Climate Change Vulnerability of South West Coastal Bangladesh

Abstract: Aims: The aim of the study was to assess the indicator based climate change vulnerability of south west coastal Bangladesh and its future. Place of Study: Four districts form south west coastal Bangladesh, having a total of 50 upazilas, have been selected as the study area. They are Satkhira, Khulna, Bagerhat, Pirojpur, Barguna and Patuakhali districts. Methodology: This study has been conducted, using multivariate statistical techniques, to assess the vulnerabilities of the coastal region of Bangl… Show more

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Cited by 3 publications
(4 citation statements)
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“…Cold spots include elements of less importance, while hot spots include those of great interest that require special attention 44 . The composite EVI hot spot analysis 37 notably varied from south to north, with a confidence of 99% in southern Benin and no significant values from the center to the north. In other words, southern Benin was a cluster of hot spots.…”
Section: Similarity and Dissimilaritymentioning
confidence: 93%
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“…Cold spots include elements of less importance, while hot spots include those of great interest that require special attention 44 . The composite EVI hot spot analysis 37 notably varied from south to north, with a confidence of 99% in southern Benin and no significant values from the center to the north. In other words, southern Benin was a cluster of hot spots.…”
Section: Similarity and Dissimilaritymentioning
confidence: 93%
“…The current study considered the EVI to be a function of fifteen indicators. These include climate data 4,18,25 such as rainfall, temperature, relative humidity, and sunlight; socioeconomic data [36][37][38] such as population, density per inhabitant, gross domestic product (GDP), and number of houses; thematic data such as the normalized difference vegetation index (NDVI), soil organic carbon, digital elevation model (DEM) and slope; and environmental hazard data 3,34 such as flood, drought and bush fire frequency. Climate data were obtained from the Agency for Aerial Navigation Safety in Africa and Madagascar (AANSAM), socioeconomic data were provided by the National Institute for Statistics and Economic Analysis (NISEA), and hazard data were obtained from the United Nations Method.…”
Section: Methodsmentioning
confidence: 99%
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“…Gender discrimination may be intrinsic in harsh background conditions (higher illiteracy rates, shortage of food and calories consumption and inferior health conditions), traditions, social systems and patriarchy are also responsible among other things. These obstacles handicap women more than men by increasing effective responses to foresee continuous environmental changes such as coastal erosion, flooding and soil salinity [27,28]. Strengthening women's rights and socio-economic status is to better deal with the effects of climate change.…”
Section: Literature Review 21 Vulnerability Gender Dynamics Of Climat...mentioning
confidence: 99%