Scholarlink

<p>The dynamic landforms with a critical geographical location make Bangladesh a hotspot for devastating climatic hazards. The coasts frequently face yearly natural disasters, such as cyclones, surges, floods, and riverbank erosion. Additionally, the climate change impacts, like sea level rise (SLR), affect millions of life and their livelihood. Previous studies mapping the vulnerability mostly used the quantitative data from secondary sources that were unable to portray real scenarios of those communities living in extremely exposed areas. The study has integrated quantitative data with a qualitative version of field experiences to better understand the underlying phenomena behind this severe vulnerability. Considering both physical and social parameters which are significant in vulnerability mapping of the coastal areas, where eight physical parameters including costal elevation, costal slope, land use pattern, settlement typology, electricity and communication, proximity to coastline, cyclone exposure, major transportation networks, and seven social parameters consist of population density, female rate, older people rate, children rate, access to education, agriculture and industry employed people. The data collection process was conducted in two phases. First, we gathered statistically related data from various secondary sources. Next, we have conducted focus group discussions (FGDs) and distributed questionnaires in selected areas for collecting primary data. Subsequently, a multivariate analytic method, PCA, was applied to simplify a large data set and identify potential vulnerable factors. ArcGIS was used to map the spatial distribution of various components based on physical and social parameters. A total of 7 out of 19 coastal districts were selected for this study, as they are located on the southwestern coast. The study found that 21.78% of the population is highly vulnerable to the physical dimension, which includes Shyamnagar, Dacope, Saronkhola, Mongla, and Koyra. On the other hand, Koyra, Monirampur, and Baghar para are highly vulnerable in the social dimension, which consists of 7.98% population. Sathkhira, Dumuria, and Kotowali are moderately vulnerable from a social dimension that covers 28.18%. Finally, from the socio-physical dimension, 27.82% of areas (Shyamnagar, Koyra, and Monirampur) are highly vulnerable, followed by 8.28% (Satkhira, Avaynagar, and Gopalgonj), moderately vulnerable. The outcomes can assist professionals, policymakers, and authorities in the development of comprehensive and efficient planning for better management of coastal areas in disasters.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Socio-Physical Vulnerability Mapping of South-western Coastal Zone, Bangladesh Using Geospatial Techniques (GIS) and Principle Component Analysis (PCA)

  • 期刊论文

  • 发表日期：

    2026年5月26日

查看全文
  • Sadia Afrin Tisa,
  • Md Raihan Khan

摘要

The dynamic landforms with a critical geographical location make Bangladesh a hotspot for devastating climatic hazards. The coasts frequently face yearly natural disasters, such as cyclones, surges, floods, and riverbank erosion. Additionally, the climate change impacts, like sea level rise (SLR), affect millions of life and their livelihood. Previous studies mapping the vulnerability mostly used the quantitative data from secondary sources that were unable to portray real scenarios of those communities living in extremely exposed areas. The study has integrated quantitative data with a qualitative version of field experiences to better understand the underlying phenomena behind this severe vulnerability. Considering both physical and social parameters which are significant in vulnerability mapping of the coastal areas, where eight physical parameters including costal elevation, costal slope, land use pattern, settlement typology, electricity and communication, proximity to coastline, cyclone exposure, major transportation networks, and seven social parameters consist of population density, female rate, older people rate, children rate, access to education, agriculture and industry employed people. The data collection process was conducted in two phases. First, we gathered statistically related data from various secondary sources. Next, we have conducted focus group discussions (FGDs) and distributed questionnaires in selected areas for collecting primary data. Subsequently, a multivariate analytic method, PCA, was applied to simplify a large data set and identify potential vulnerable factors. ArcGIS was used to map the spatial distribution of various components based on physical and social parameters. A total of 7 out of 19 coastal districts were selected for this study, as they are located on the southwestern coast. The study found that 21.78% of the population is highly vulnerable to the physical dimension, which includes Shyamnagar, Dacope, Saronkhola, Mongla, and Koyra. On the other hand, Koyra, Monirampur, and Baghar para are highly vulnerable in the social dimension, which consists of 7.98% population. Sathkhira, Dumuria, and Kotowali are moderately vulnerable from a social dimension that covers 28.18%. Finally, from the socio-physical dimension, 27.82% of areas (Shyamnagar, Koyra, and Monirampur) are highly vulnerable, followed by 8.28% (Satkhira, Avaynagar, and Gopalgonj), moderately vulnerable. The outcomes can assist professionals, policymakers, and authorities in the development of comprehensive and efficient planning for better management of coastal areas in disasters.