Laboratory of Engineering Geology and Hydrogeology, Department of Geology, Aristotle University of Thessaloniki, Greece.
Renewables and Energy Efficiency Unit, Institute for Energy & Transport, European Commission DG-Joint Research Centre, Ispra, Italy.
Sci Total Environ. 2015 Dec 15;538:555-63. doi: 10.1016/j.scitotenv.2015.08.055. Epub 2015 Aug 28.
The present study introduces a multi-criteria index to assess flood hazard areas in a regional scale. Accordingly, a Flood Hazard Index (FHI) has been defined and a spatial analysis in a GIS environment has been applied for the estimation of its value. The developed methodology processes information of seven parameters namely flow accumulation, distance from the drainage network, elevation, land use, rainfall intensity and geology. The initials of these criteria gave the name to the developed method: "FIGUSED". The relative importance of each parameter for the occurrence and severity of flood has been connected to weight values. These values are calculated following an "Analytical Hierarchy Process", a method originally developed for the solution of Operational Research problems. According to their weight values, information of the different parameters is superimposed, resulting to flood hazard mapping. The accuracy of the method has been supported by a sensitivity analysis that examines a range for the weights' values and corresponding to alternative scenarios. The presented methodology has been applied to an area in north-eastern Greece, where recurring flood events have appeared. Initially FIGUSED method resulted to a Flood Hazard Index (FHI) and a corresponding flood map. A sensitivity analysis on the parameters' values revealed some interesting information on the relative importance of each criterion, presented and commented in the Discussion section. Moreover, the sensitivity analysis concluded to a revised index FHIS (methodology named FIGUSED-S) and flood mapping, supporting the robustness of FIGUSED methodology. A comparison of the outcome with records of historical flood events confirmed that the proposed methodology provides valid results.
本研究提出了一种多准则指标,用于评估区域尺度的洪水危险区域。为此,定义了洪水危险指数(FHI),并在 GIS 环境中进行了空间分析以估计其值。所开发的方法处理了七个参数的信息,即水流积累、与排水网络的距离、海拔、土地利用、降雨强度和地质。这些标准的首字母为开发方法赋予了名称:“FIGUSED”。每个参数对洪水发生和严重程度的相对重要性与权重值相关联。这些值是按照“层次分析法”计算得出的,这是一种最初为解决运筹学问题而开发的方法。根据它们的权重值,不同参数的信息被叠加,从而生成洪水危险图。该方法的准确性得到了敏感性分析的支持,该分析检查了权重值的范围和对应的替代方案。所提出的方法已应用于希腊东北部一个经常发生洪水事件的地区。最初,FIGUSED 方法产生了洪水危险指数(FHI)和相应的洪水图。对参数值的敏感性分析揭示了每个标准的相对重要性的一些有趣信息,在讨论部分进行了介绍和评论。此外,敏感性分析得出了修订后的指数 FHIS(方法命名为 FIGUSED-S)和洪水图,支持了 FIGUSED 方法的稳健性。将结果与历史洪水事件的记录进行比较证实,所提出的方法提供了有效的结果。