globalchange  > 气候减缓与适应
DOI: 10.1016/j.apgeog.2018.12.011
WOS记录号: WOS:000457667700006
论文题名:
Mapping of climate vulnerability of the coastal region of Bangladesh using principal component analysis
作者: Uddin, Md Nasir; Islam, A. K. M. Saiful; Bala, Sujit Kumar; Islam, G. M. Tarekul; Adhikary, Sudipta; Saha, Debanjali; Haque, Shammi; Fahad, Md Golam Rabbani; Akter, Rabeya
通讯作者: Islam, A. K. M. Saiful
刊名: APPLIED GEOGRAPHY
ISSN: 0143-6228
EISSN: 1873-7730
出版年: 2019
卷: 102, 页码:47-57
语种: 英语
英文关键词: Coastal region ; Climate change ; k-mean cluster ; Mapping tool ; Principal component analysis (PCA)
WOS关键词: YANGTZE-RIVER DELTA ; SEA-LEVEL RISE ; SOCIAL VULNERABILITY ; SPATIALLY EXPLICIT ; ECOLOGICAL VULNERABILITY ; WATER VULNERABILITY ; NATURAL HAZARDS ; POPULATION ; INFRASTRUCTURE ; AGRICULTURE
WOS学科分类: Geography
WOS研究方向: Geography
英文摘要:

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 socioeconomic 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 (PCS), Climate Vulnerability (PC6) and Infrastructure' 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.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/126939
Appears in Collections:气候减缓与适应

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作者单位: Bangladesh Univ Engn & Technol, IWFM, Dhaka 1000, Bangladesh

Recommended Citation:
Uddin, Md Nasir,Islam, A. K. M. Saiful,Bala, Sujit Kumar,et al. Mapping of climate vulnerability of the coastal region of Bangladesh using principal component analysis[J]. APPLIED GEOGRAPHY,2019-01-01,102:47-57
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