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Fuzzy logic application in compiling multi geohazards macro-zone maps; case study: Rahdar, 1:25,000 Quadrangle, Khuzestan, Iran

机译:模糊逻辑在编制多地质灾害宏区地图中的应用;案例研究:拉赫达尔(Rahdar),1:25,000四边形,伊朗胡塞斯坦

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摘要

This paper is devoted to describe a new method of fuzzy logic applied to multi geohazards macro-zone maps. The basic steps are (1) compilation of macro-zone maps for each type of geohazard phenomenon. Each phenomenon is then assigned one of seven geohazard zones: very low, low, relatively low, moderate, relatively high, high, and very high; (2) definition of a membership function using a fuzzy logic algorithm to quantify the qualitative data, estimate a geohazard grade for each mesh point, and to convert qualitative maps to quantitative maps; (3) computation of the summed hazard grade for eachmesh point and creation a cumulative geohazard map; and (4) compilation of a multi geohazards macro-zone map by defining a mathematical algorithm and again using fuzzy logic. The paper also describes a mechanism that takes subjective engineering judgments into account. Finally, a geohazard map with a scale of 1:25,000 (Rahdar district, Khuzestan, Iran) is compiled. This study divides the area into seven geohazard macro-zones. Zones of high and very high geohazard classification cover most of the area due to the large number of sinkholes and asymmetric subsidences, rock falls and other slop movements. Low and very low hazard zones only cover small localities.
机译:本文致力于描述一种适用于多地质灾害宏区地图的模糊逻辑新方法。基本步骤是(1)为每种类型的地质灾害现象编制宏区地图。然后,将每个现象分配给七个地质灾害区之一:极低,极低,相对低,中等,相对高,高和非常高; (2)使用模糊逻辑算法定义隶属函数,以量化定性数据,估算每个网格点的地质灾害等级,并将定性图转换为定量图; (3)计算每个网格点的总危害等级,并创建累积的地质灾害图; (4)通过定义数学算法并再次使用模糊逻辑来编译多地质灾害宏区地图。本文还描述了一种考虑主观工程判断的机制。最后,绘制了比例为1:25,000的地质灾害图(伊朗胡兹斯坦拉赫达尔地区)。这项研究将区域划分为七个地质灾害宏观区域。由于大量的水坑和不对称的沉降,岩崩和其他斜坡运动,地质灾害分类的高和非常高的区域覆盖了大部分区域。低危险区和极低危险区仅覆盖较小的区域。

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