这项研究旨在评估孟加拉国沿海地区对旋风的脆弱性,采用政府间气候变化专门委员会(IPCC,2007).研究共考虑了十八个因素,分为三个关键维度:暴露,灵敏度,和适应能力。这些因素对于了解旋风在该地区的潜在影响至关重要。为了开发旋风脆弱性图,采用主成分分析(PCA),主要关注灵敏度和适应能力的维度。这项分析的结果表明,敏感性和适应能力成分在数据中占很大比例的差异,解释90.00%和90.93%的方差,分别。尽管缺乏关于数据收集的细节,该研究确定了对每个维度有显著影响的特定因素。值得注意的是,靠近海岸线成为确定气旋暴露的一个高度影响因素。这项研究的结果表明,某些地区,比如Jessore,Khulna,Narail,Gopalgonj,还有Bagerhat,表现出对旋风的低暴露,而像Chandpur和Lakshmipur这样的地区面临着高水平的暴露。大多数地区的敏感度都很高,和Noakhali在一起,Lakshmipur,Chandpur是最敏感的地区.观察到适应能力差异显著,在海边价值很低,特别是在像考克斯巴扎尔这样的地方,Shatkhira,Bagerhat,Noakhali,还有Bhola,在离海岸更远的地区价值很高。总的来说,在Noakhali发现对旋风的脆弱性非常高,Lakshmipur,Chandpur,还有Bhola,在Jessore和Khulna的低处,在Barisal中温和,Narail,Gopalgonj,还有Jhalokati.预计这些发现将提供宝贵的见解,以告知决策者和负责管理该地区旋风后果的当局。
This research aims to assess the vulnerability to cyclones in the coastal regions of Bangladesh, employing a comprehensive framework derived from the Intergovernmental Panel on Climate Change (IPCC, 2007). The study considers a total of eighteen factors, categorized into three critical dimensions: exposure, sensitivity, and adaptive capacity. These factors are crucial in understanding the potential impact of cyclones in the region. In order to develop a cyclone vulnerability map, Principal Component Analysis (PCA) was applied, primarily focusing on the dimensions of sensitivity and adaptive capacity. The findings of this analysis revealed that sensitivity and adaptive capacity components accounted for a significant percentage of variance in the data, explaining 90.00 % and 90.93 % of the variance, respectively. Despite the lack of details about data collection, the study identified specific factors contributing significantly to each dimension. Notably, proximity to the coastline emerged as a highly influential factor in determining cyclone exposure. The results of this research indicate that certain areas, such as Jessore, Khulna, Narail, Gopalgonj, and Bagerhat, exhibit low exposure to cyclones, whereas regions like Chandpur and Lakshmipur face a high level of exposure. Sensitivity was found to be high in most areas, with Noakhali, Lakshmipur, and Chandpur being the most sensitive regions. Adaptive capacity was observed to vary significantly, with low values near the sea, particularly in locations like Cox\'s Bazar, Shatkhira, Bagerhat, Noakhali, and Bhola, and high values in regions farther from the coast. Overall, vulnerability to cyclones was found to be very high in Noakhali, Lakshmipur, Chandpur, and Bhola, low in Jessore and Khulna, and moderate in Barisal, Narail, Gopalgonj, and Jhalokati. These findings are expected to provide valuable insights to inform decision-makers and authorities tasked with managing the consequences of cyclones in the region.