首页> 外文期刊>Carbonates And Evaporites >Geoelectrical integrated models for determining the geometry of karstic cavities in the Zarrinabad area, west of Iran: combination of fuzzy logic, C-A fractal model and hybrid AHP-TOPSIS procedure
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Geoelectrical integrated models for determining the geometry of karstic cavities in the Zarrinabad area, west of Iran: combination of fuzzy logic, C-A fractal model and hybrid AHP-TOPSIS procedure

机译:用于确定伊朗西部Zarrinabad地区喀斯蒂腔几何形状的电气电综合模型:模糊逻辑,C-A分形模型和杂交AHP-Topsis程序的组合

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The main aim of this study is to determine the location of the cave and cavities in Zarrinabad area, Lorestan province, west of Iran. For this purpose, a combination of hybrid AHP-TOPSIS procedure and content-area (C-A) fractal method has been conducted on three types of geoelectrical data derived from electrical resistivity, self-potential and mise-a-la-masse methods to detect karstic zones and determining the geometry of the cavities. Initially, the raw values of the data were transformed to [0-1] domain using the MSlarge fuzzy function, and then the fuzzified values were discretized applying C-A fractal model to separate different geological populations (e.g., conglomerate and limestone layers as well as the geometry of the cave). Subsequently, the analytical hierarchy process (AHP) as the most widely used multiple criteria decision making (MCDM) technique was applied for calculating meaningful weights and then assigning them to different fractal-based classes of investigation criteria (here, triple geoelectrical data) based on the expert knowledge. A decision matrix based on the calculated weights were constructed and TOPSIS as another well-known MCDM technique was then employed for generating cave potential model of AHP-TOPSIS procedure. In addition, a fuzzy Gamma model (gamma = 0.9) based on three fuzzified electrical layers is implemented to assess the AHP-TOPSIS model. Finally, for the evaluation of generated models, electrical resistivity sections along profile 1, 2 and 3 were prepared. The results exhibit a strong spatial association between final prospectivity models, electrical resistivity sections and the outcrop of the cave on the surface. According to the obtained results, a cave with dimensions of several meters (for example, its length in one direction is up to 100 m) is appeared to be expanded from the north of the study area to the south. Besides, it is possible that the karstic zones contain a number of small cavities which are linked together like a beehive. Thus, this area can be considered as a good source of underground water due to the presence of these holes which often contain fresh water. In addition, this area is prone to convert into a tourism area in the future as this cave contains high level water especially in rainy seasons.
机译:本研究的主要目的是确定伊朗以西罗斯坦省Zarrinabad地区洞穴和洞穴的位置。为此目的,已经在三种类型的电阻率,自势和Mise-A-La-Masse方法中进行了混合AHP-TopSIS程序和内容区域(CA)分形方法的组合以检测奇特的方法区域并确定空腔的几何形状。最初,使用MSLARGE模糊功能将数据的原始值转换为域,然后将模糊值分开地应用CA分形模型以分离不同的地质群体(例如,集团和石灰石层以及洞穴的几何形状)。随后,分析层次处理(AHP)作为最广泛使用的多标准决策(MCDM)技术用于计算有意重的权重,然后将它们分配给基于不同的基于分形的调查标准(这里,三重地电流数据)专家知识。基于计算的权重的决策矩阵被构造,并作为另一种众所周知的MCDM技术,用于产生AHP-Topsis程序的洞穴潜在模型。另外,基于三个模糊的电层的模糊伽马模型(Gamma = 0.9)被实施为评估AHP-Topsis模型。最后,为了评估所产生的模型,制备沿轮廓1,2和3的电阻率部分。结果表现出最终的前瞻性模型,电阻率部分和表面上的洞穴的露头之间的强空间关联。根据所得的结果,俯视尺寸为几米(例如,其在一个方向上的长度高达100米)的洞穴似乎从研究区域到南部的北方扩展。此外,喀斯特区可能含有许多小腔,它们像蜂箱一样连接在一起。因此,由于存在通常含有淡水的孔的存在,该区域可以被认为是由于这些孔的存在而被认为是地下水的良好来源。此外,由于这种洞穴含有高水平的水,这一领域易于将来转变为未来的旅游区,尤其是在雨季。

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