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Application of Spatial Analysis Techniques to Select the Most Suitable Areas for Flood Spreading

机译：空间分析技术在洪水泛滥地区选择中的应用

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This study addressed potential areas for flood spreading by evaluating the Boolean Logic, Overlay Index and Fuzzy Clustering techniques for spatial analysis. We applied these techniques on the artificial recharge criteria of slope, infiltration rate, alluvium thickness, land use and alluvial quality. The above criteria were prepared, classified, weighted and integrated in a GIS environment. The resultant maps were organized into two classes of potentiality, suitable and unsuitable, which expressed two different levels of favorability for site selection of flood spreading in the study area. We used 32 controlling areas to compare the performance of these spatial analysis techniques. By validation of the produced maps, the most suitable areas of flood spreading for each technique were determined: Fuzzy Clustering (14.4 %) Overlay Index (10.84 %) and Boolean Logic (10 %). After land use filtering, 72 %, 70 % and 65 % of the most suitable areas were eliminated in the, Overlay Index, Boolean model and Fuzzy Clustering, respectively. According to our results, the spatial analysis techniques can be powerful tools for selecting the most suitable areas for flood spreading.
机译：这项研究通过评估用于空间分析的布尔逻辑，覆盖指数和模糊聚类技术，解决了洪水泛滥的潜在领域。我们将这些技术应用于坡度，入渗率，冲积层厚度，土地利用和冲积质量的人工补给标准。上述标准是在GIS环境中准备，分类，加权和集成的。生成的地图分为潜在和适当两类，分别表示研究区域洪灾扩散地点选择的两个不同等级。我们使用了32个控制区域来比较这些空间分析技术的性能。通过对生成的地图进行验证，可以确定每种技术最合适的洪水扩散区域：模糊聚类（14.4％）覆盖指数（10.84％）和布尔逻辑（10％）。经过土地利用过滤，覆盖指数，布尔模型和模糊聚类分别消除了72％，70％和65％的最合适区域。根据我们的结果，空间分析技术可以成为选择最合适的洪水扩散区域的有力工具。

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