Sarkar Showmitra Kumar, Das Swadhin, Rudra Rhyme Rubayet, Ekram Khondaker Mohammed Mohiuddin, Haydar Mafrid, Alam Edris, Islam Md Kamrul, Islam Abu Reza Md Towfiqul
Department of Urban and Regional Planning, Khulna University of Engineering & Technology, Khulna, 9203, Bangladesh.
Population Health Sciences, Harvard University, Harvard, USA.
Sci Rep. 2024 Oct 26;14(1):25564. doi: 10.1038/s41598-024-75690-w.
The research aims to explore the vulnerability of Bangladesh to drought by considering a comprehensive set of twenty-four factors, classified into four major categories: meteorological, hydrological, agricultural, and socioeconomic vulnerability. To achieve this, the study utilized a knowledge-based multi-criteria method known as the Analytic Hierarchy Process (AHP) to delineate drought vulnerability zones across the country. Weight estimation was accomplished by creating pairwise comparison matrices for factors and different types of droughts, drawing on relevant literature, field experience, and expert opinions. Additionally, online-based interviews and group discussions were conducted with 30 national and foreign professionals, researchers, and academics specializing in drought-related issues in Bangladesh. Results from overall drought vulnerability map shows that the eastern hills region displays a notably high vulnerability rate of 56.85% and an extreme low vulnerability rate of 0.03%. The north central region shows substantial vulnerability at high levels (35.85%), while the north east exhibits a significant proportion (41.68%) classified as low vulnerability. The north west region stands out with a vulnerability rate of 40.39%, emphasizing its importance for drought management strategies. The River and Estuary region displays a modest vulnerability percentage (38.44%), suggesting a balanced susceptibility distribution. The south central and south east regions show significant vulnerabilities (18.99% and 39.60%, respectively), while the south west region exhibits notable vulnerability of 41.06%. The resulting model achieved an acceptable level of performance, as indicated by an area under the curve value of 0.819. Policymakers and administrators equipped with a comprehensive vulnerability map can utilize it to develop and implement effective drought mitigation strategies, thereby minimizing the losses associated with drought.
该研究旨在通过考虑一套全面的24个因素来探索孟加拉国干旱脆弱性,这些因素分为四大类:气象、水文、农业和社会经济脆弱性。为实现这一目标,该研究采用了一种基于知识的多标准方法,即层次分析法(AHP)来划定全国干旱脆弱性区域。通过参考相关文献、实地经验和专家意见,为各因素和不同类型的干旱创建成对比较矩阵来完成权重估计。此外,还对30名专门研究孟加拉国干旱相关问题的国内外专业人士、研究人员和学者进行了在线访谈和小组讨论。总体干旱脆弱性地图的结果显示,东部山区的脆弱率高达56.85%,极低脆弱率为0.03%。中北部地区显示出较高水平的严重脆弱性(35.85%),而东北部有很大比例(41.68%)被归类为低脆弱性。西北地区的脆弱率为40.39%,突出了其在干旱管理策略中的重要性。河流和河口地区的脆弱百分比适中(38.44%),表明敏感性分布较为平衡。中南部和东南部地区显示出显著的脆弱性(分别为18.99%和39.60%),而西南部地区的脆弱性显著,为41.06%。所得模型的表现达到了可接受水平,曲线下面积值为0.819。掌握全面脆弱性地图的政策制定者和管理人员可以利用它来制定和实施有效的干旱缓解策略,从而将与干旱相关的损失降至最低。