Mapping of climate vulnerability of the coastal region of Bangladesh using principal component analysis. (January 2019)

• Record Type: Journal Article
• Authors: Uddin, Md. Nasir; Saiful Islam, A.K.M.; Bala, Sujit Kumar; Islam, G.M. Tarekul; Adhikary, Sudipta; Saha, Debanjali; Haque, Shammi; Fahad, Md. Golam Rabbani; Akter, Rabeya
• Is Part Of: Applied geography. Volume 102(2019)
• Page Start: 47
• Page End: 57
• Publication Date: 2019-01
• Subjects: Coastal region -- Climate change -- k-mean cluster -- Mapping tool -- Principal component analysis (PCA); Geography -- Periodicals; Human geography -- Periodicals; Human ecology -- Periodicals; 910
• DOI: 10.1016/j.apgeog.2018.12.011
• Languages: English
• ISSNs: 0143-6228

Abstract

Abstract: The coastal region of Bangladesh is highly vulnerable due to its low adaptive capacity, dense population, flat topography and exposure to various natural disasters such as cyclone, storm surges, sea level rise, tidal floods, bank erosion etc. In addition to present vulnerability, climate change will bring detrimental impact on socio-economic performance, health, and livelihood of the coastal population. This study has been conducted to assess the vulnerabilities of the coastal region of Bangladesh by considering the IPCC framework of vulnerability studies and using multivariate statistical techniques. A total of 31 indicators have been used of which 24 are socio-economic and 7 are natural (exposure) indicators and these indicators have been retrieved from the secondary source. Principal Component Analysis (PCA) has been applied to find unequal weights of all indicators. Afterward, 7 vulnerability groups (Principal Components - PCs) have been retained which eigenvalue greater than one in accordance with Kaiser Criterion. Demographic Vulnerability (PC1), Economic Vulnerability (PC2), Agricultural Vulnerability (PC3), Water Vulnerability (PC4), Health Vulnerability (PC5), Climate Vulnerability (PC6) and Infrastructural Vulnerability (PC7) are the principle vulnerable groups considering both present (2013) and the future (2050) climate change scenarios. Spatial maps of each group have been generated to assess the regional variation of above mentioned multispectral vulnerability profile across the coastal region of Bangladesh. Climate change will change dramatically the future vulnerability profile which will be alarming for agro-ecological systems of that region. The findings of this study might be useful for policy makers as well as planners. Highlights: Vulnerability has been assessed using the 24 socio-economic and 7 bio-physical indicators. Principal Component Analysis (PCA) has been applied to determine the weights of these indicators. Low adaptive capacity & exposure to natural disasters make coastal Bangladesh highly vulnerable. Population increase, low literacy and poverty are the key demographic factors for vulnerability. Climate change will change dramatically the future vulnerability profile of coastal Bangladesh.