Sammonds Peter, Alam Akhtar, Day Simon, Stavrianaki Katerina, Kelman Ilan
Institute for Risk and Disaster Reduction (IRDR), University College London (UCL), Gower Street, London, WC1E 6BT, UK.
Department of Geography and Disaster Management, University of Kashmir, Srinagar, 190006, India.
Sci Rep. 2023 Nov 23;13(1):20565. doi: 10.1038/s41598-023-47527-5.
Hurricanes can trigger widespread landslides and flooding creating compound hazards and multiple risks for vulnerable populations. An example is the island of Dominica in the Caribbean, where the population lives predominantly along the coast close to sea level and is subject to storm surge, with steep topography rising behind, with a propensity for landslides and flash river flooding. The simultaneous occurrence of the multiple hazards amplifies their impacts and couples with physical and social vulnerabilities to threaten lives, livelihoods, and the environment. Neglecting compound hazards underestimates overall risk. Using a whole island macroscale, (level-I) analysis, susceptibility scenarios for hurricanes, triggered landslides, and floods were developed by incorporating physical process parameters. The susceptibilities were combined with vulnerability indicators to map spatial patterns of hurricane multi-risks in Dominica. The analysis adopted a coupled approach involving the frequency ratio (FR), analytic hierarchy process (AHP), and geographic information system (GIS). Detailed hazard modelling was done at selected sites (level-II), incorporating storm surge estimates, landslide runout simulations, and steady flow analysis for floods. High-resolution terrain data and simulation models, the Rapid Mass Movement Simulation (RAMMS) and the hydrologic engineering center's river analysis system (HEC-RAS), were employed. Ground validation confirmed reasonable agreement between projected and observed scenarios across different spatial scales. Following the United Nations Office for disaster risk reduction (UNDRR) call for the inclusion of local, traditional, and indigenous knowledge, feedback, and expert opinion to improve understanding of disaster risk, 17 interviews with local experts and 4 participatory workshops with residents were conducted, and findings were incorporated into the analysis, so as to gain insights into risk perceptions. The study's outcomes encompass projections and quantification of hurricane compound hazards, vulnerabilities, accumulated risks, and an understanding of local priorities. These findings will inform decision-making processes for risk mitigation choices and community actions by providing a new framework for multi-hazard risk assessment that is easy to implement in combining different data forms.
飓风会引发大面积山体滑坡和洪水,给弱势群体带来复合灾害和多重风险。加勒比地区的多米尼克岛就是一个例子,那里的居民主要居住在靠近海平面的沿海地区,容易遭受风暴潮侵袭,后面是地势陡峭的地形,容易发生山体滑坡和河流突发洪水。多种灾害同时发生会加剧其影响,并与物理和社会脆弱性相互作用,威胁生命、生计和环境。忽视复合灾害会低估总体风险。通过纳入物理过程参数,采用全岛宏观尺度(一级)分析方法,制定了飓风、引发的山体滑坡和洪水的易发性情景。将易发性与脆弱性指标相结合,绘制了多米尼克飓风多重风险的空间格局图。该分析采用了频率比(FR)、层次分析法(AHP)和地理信息系统(GIS)相结合的方法。在选定地点(二级)进行了详细的灾害建模,纳入了风暴潮估计、山体滑坡径流模拟和洪水稳态流分析。采用了高分辨率地形数据和模拟模型,即快速大规模运动模拟(RAMMS)和水文工程中心的河流分析系统(HEC-RAS)。实地验证证实了不同空间尺度上预测情景与观测情景之间的合理一致性。响应联合国减少灾害风险办公室(UNDRR)关于纳入当地、传统和土著知识、反馈和专家意见以增进对灾害风险理解的呼吁,对17位当地专家进行了访谈,并与居民举办了4次参与式研讨会,研究结果被纳入分析,以深入了解风险认知。该研究的成果包括对飓风复合灾害、脆弱性、累积风险的预测和量化,以及对当地优先事项的理解。这些发现将为减灾选择和社区行动的决策过程提供信息,通过提供一个易于实施的新框架来组合不同数据形式进行多灾害风险评估。