Vulnerability to climate change adaptation in rural Bangladesh

Shaw, Jennie

doi:10.1080/14693062.2015.1007837

Cited by 6 publications

(4 citation statements)

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“…With a fast-growing population at a rate of 1.37 percent, currently over 160 million with 1015 per km 2 (Dewan et al 2012, DoE 2012, Bangladesh is expecting to be added by 20 million people (with 1200 per km 2 ) by 2025 (Shaw 2015). The country is highly exposed to extreme climate conditions, including oods, cyclone-induced storm surge, coastal oods, riverbank erosion, drought, and an increasing trend of sea-level rise, saline water intrusion, and many more natural hazards (Dasgupta et al 2014, Ruane et al 2013).…”

Section: Introductionmentioning

confidence: 99%

Assessing spatial vulnerability of Bangladesh to climate change and extremes: a geographic information system approach

Azam

Rahman

2022

Mitig Adapt Strateg Glob Change

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Regarding climate change, the world's most discussed issue for the last few decades, countries like Bangladesh are always noteworthy due to its susceptibility resulting from its geography, hazard proneness, and socioeconomic condition. Thus, this aimed to justify the hypothesis that Bangladesh has spatial diversity in sectors of Climate Change Vulnerability (CCV) by identifying the sectors of vulnerability and visualizing the spatial distribution of vulnerability through multivariate geospatial analysis in the GIS environment. For an integrated assessment of CCV, 38 indicators (socio-economic and biophysical) have been incorporated in the IPCC framework in raster form. Test statistics have shown Kiser-Meyer-Olkin (KMO) value is 0.73 and the p-value of Bartlett's sphericity is 0. The principal component analysis resulted in 6 principal components with 73.52% total explained variance. Sectors of CCV are the Climatic extreme event vulnerability (PC1), Meteorological shift vulnerability (PC2), Infrastructure and demographic vulnerability (PC3), Ecological vulnerability (PC4), Flood vulnerability (PC5), and Economic vulnerability (PC6) with Cronbach's alpha 0.90, 0.81, 0.88, 0.72, 0.72, and 0.66 respectively. Among 3 clusters (Jenk's Natural break) of weighted averaged indices, the highly vulnerable cluster has shown that the PC1 has the highest magnitude with a score of 0.53-0.87, while the PC5 has the highest spatial coverage with 24 districts. The present study however is a new edition in climate vulnerability assessment in Bangladesh since it encompasses multivariate spatial analysis to demonstrate countrywide CCV. This study should be an important tool for setting adaptation and mitigation strategies from the root level to policymaking platforms of Bangladesh.

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Section: Introductionmentioning

confidence: 99%

Assessing spatial vulnerability of Bangladesh to climate change and extremes: a geographic information system approach

Azam

Rahman

2022

Mitig Adapt Strateg Glob Change

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“…Extreme climatic events became distinctive of Bangladesh [1][2]. with an area of 147,570 km 2 [3] and a fastgrowing population currently stands at over 160 million [4,2] and anticipated to be added by another 20 million by 2025 [5]. The population density of the country is very high which is 1015 per sq.…”

Section: Introductionmentioning

confidence: 99%

“…km. with an annual growth rate of 1.37 percent [5]. By 2025, population density could be over 1200 per km 2 [5].…”

Section: Introductionmentioning

confidence: 99%

“…with an annual growth rate of 1.37 percent [5]. By 2025, population density could be over 1200 per km 2 [5]. Coastal districts adjacent to Bay of Bengal were considered highly vulnerable to extreme climate condition, including changes of uneven disasters such as cyclone-induced storm surge, coastal floods, river bank erosion, and increasing trend of sea level rise, saline water intrusion and many more natural calamities [6].…”

Section: Introductionmentioning

confidence: 99%

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Indicator Based Spatial Climate Change Vulnerability of South West Coastal Bangladesh

Razzaque

Alamgir

2019

JSRR

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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 Bangladesh by considering the IPCC framework of vulnerability studies. A total of 31 indicators have been selected of which 23 are socio-economic and 8 are biophysical which have been retrieved from the secondary sources. Principal Component Analysis (PCA) has been applied to derive unbiased weights of all indicators considering both present (2011) and the future (2050) climate change scenarios. Results: This study has identiﬁed 7 principal components through PCA which has been grouped as PC1 (Demographic Vulnerability), PC2 (Economic Vulnerability), PC3 (Climatic Vulnerability), PC4 (Health Vulnerability), PC5 (Agricultural Vulnerability), PC6 (Infrastructural Vulnerability) and PC7 (Water Vulnerability). For all 7 PCA groups (termed as vulnerability proﬁle), the number of high and medium vulnerable coastal Upazilas will be significantly changed in the future. No of highly vulnerable Upazila will increase from 0 to 1 for PC1, unchanged for PC2, increase from 0 to 1 for PC3, from 32 to 33 for PC4, from 47 to 68 for PC5, decrease from 48 to 46 for PC6, and an increase from 14 to 21 for PC7, respectively. Conclusion: Discrete spatial maps of each profile have been generated to assess the regional variation of all vulnerability proﬁles across the southwest coastal region of Bangladesh. The ﬁndings of this study might be useful for policy makers and planners.

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Identification of Climate Change Vulnerable Zones in Bangladesh Through Multivariate Geospatial Analysis

Azam

Rahman

2022

Climate, Environment and Disaster in Developing Countries

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Vulnerability to climate change adaptation in rural Bangladesh

Cited by 6 publications

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Assessing spatial vulnerability of Bangladesh to climate change and extremes: a geographic information system approach

Assessing spatial vulnerability of Bangladesh to climate change and extremes: a geographic information system approach

Indicator Based Spatial Climate Change Vulnerability of South West Coastal Bangladesh

Identification of Climate Change Vulnerable Zones in Bangladesh Through Multivariate Geospatial Analysis

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