Institute for Risk and Disaster Reduction, University College London, Gower Street, London, WC1E 6BT, United Kingdom.
Institute for Risk and Disaster Reduction, University College London, Gower Street, London, WC1E 6BT, United Kingdom.
Sci Total Environ. 2020 Feb 20;704:135360. doi: 10.1016/j.scitotenv.2019.135360. Epub 2019 Nov 23.
Bangladesh has a long history of devastating tropical cyclones. In view of the effects of the storms on the country, risk assessment is essential for devising the mitigation strategies at various levels. By way of bringing the conceptual structure of general risk model in practice, this work aims to examine the spatial patterns of cyclone risk in the Cox's Bazar district (I) and Rohingya refugee camps (II) located on the southeastern coast of Bangladesh. We use 14 parameters representing the hazard, exposure, and vulnerability as the components of risk. The selected parameters were analyzed and integrated though the complementary use of Analytic Hierarchy Process (AHP) and Geographic Information System (GIS) for depicting the cyclone risk situation comprehensively at both the spatial scales. The status of the cyclone risk was identified and quantified as very high (6.84%, 3.43%), high (45.78%, 27.82%), moderate (5.97%, 39.42%), low (40.62%, 28.70%), and very low (0.81%, 0.61%) for the spatial scale I and II respectively. In general, northwestern and southern peripheral areas exhibited higher risk than the central and northeastern parts of the Cox's Bazar district; and in the refugee settlements, camp number 1E, 1W, 7, and 13 revealed relatively higher levels of the risk. The results of the assessment (I) were correlated with experiential damage from the 1991 cyclone; a reasonable consistency was noticed between the simulated scenario and the observed impacts. We assume that the deliverables of this spatial analysis could be useful to stakeholders while formulating the cyclone risk mitigation policies for the region. Furthermore, this work demonstrates that the applied method would deliver reliable results if tested in other coastal environments.
孟加拉国有漫长的破坏性热带气旋历史。鉴于风暴对该国的影响,风险评估对于制定各级缓解策略至关重要。本工作旨在通过将通用风险模型的概念结构付诸实践,检验孟加拉国东南部考克斯巴扎尔地区(I)和罗兴亚难民营(II)的气旋风险空间格局。我们使用了 14 个参数来表示危险、暴露和脆弱性,作为风险的组成部分。通过使用层次分析法(AHP)和地理信息系统(GIS)的互补性来分析和整合所选参数,以全面描绘两个空间尺度的气旋风险情况。根据风险的严重程度,将气旋风险状态识别和量化为非常高(6.84%,3.43%)、高(45.78%,27.82%)、中(5.97%,39.42%)、低(40.62%,28.70%)和非常低(0.81%,0.61%)。一般来说,考克斯巴扎尔地区的西北部和南部周边地区的风险比中部和东北部高;在难民营中,1E、1W、7 和 13 号营地的风险相对较高。评估结果(I)与 1991 年气旋的经验性破坏相关;模拟情景与观察到的影响之间存在合理的一致性。我们假设,在制定该地区的气旋风险缓解政策时,这种空间分析的结果对利益相关者是有用的。此外,这项工作表明,如果在其他沿海环境中进行测试,所应用的方法将提供可靠的结果。