Investigation and Potential Identification of Karsts as Groundwater Resources with the Help of GIS Studies, a Case Study of Western Iran

IF 0.7 4区 地球科学 Q4 GEOCHEMISTRY & GEOPHYSICS
Saeid Pourmorad, Samira Abbasi, Nilanchal Patel, Ashutosh Mohanty
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引用次数: 1

Abstract

Improper use of alluvial aquifers and declining water levels in these aquifers have led to significant attention to the search for other groundwater sources in karst areas and hard formations. Iran is one of the countries that has a very high percentage of karst in the world and the study and tracing of karst are very important in this country. In this research, eight effective factors in karstification are identified and categorized into two groups and the relevant information layers are prepared. The first group includes average annual rainfall, type of geological formations, the density of fractures, and density of the fracture site. The second group, which is of secondary importance, includes the average annual temperature, the density of canals, slope, and type of vegetation. After preparing the information layers, quantitative parameters based on fuzzy logic and qualitative parameters were standardized by the rasterization method. The importance and weight of each of the effective factors were determined from two methods viz. Analytic Hierarchy Process (AHP) and the Fuzzy Hierarchical Analysis Process (FAHP). After multiplying the standard maps with their respective weights, they were overlaid, and finally, karst potential maps were generated. Maps were generated from the two weighting methods based on the subsurface and surface hydrogeological-geomorphological diagrams. Karst features such as Karen, dissolution cavities, depressions, caves, dry valleys, reservoir rocks of springs and water exploitation wells, and Calcareous limbs were ascertained, which indicates that the results of the FAHP method are more consistent with the existing conditions in the region. The final map was divided into five classes in terms of the karst potential, viz. very high, high, medium, low, and no potential.

Abstract Image

基于GIS的岩溶地下水资源调查与潜力识别——以伊朗西部为例
对冲积含水层的不当利用和这些含水层中水位的下降导致人们对在喀斯特地区和硬地层中寻找其他地下水来源的重视。伊朗是世界上喀斯特地貌比例很高的国家之一,对喀斯特地貌的研究和追踪在这个国家非常重要。在本研究中,识别了8个岩溶化的有效因子,并将其分为两类,并准备了相关的信息层。第一组包括年平均降雨量、地质构造类型、裂缝密度和裂缝位置密度。第二组是次要的,包括年平均温度、运河密度、坡度和植被类型。在准备好信息层后,利用模糊逻辑对定量参数和栅格化方法对定性参数进行标准化。采用层次分析法(AHP)和模糊层次分析法(FAHP)确定各影响因素的重要性和权重。将标准图与各自权重相乘,叠加得到岩溶势图。基于地下和地表水文地质地貌图,采用两种加权方法生成地图。确定了克伦洞、溶蚀洞、洼地、溶洞、干谷、泉水储集岩、采水井储集岩、钙质枝等岩溶特征,表明FAHP方法的结果更符合该地区的实际情况。最后将岩溶潜力划分为极高、高、中、低、无潜力5个等级。
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来源期刊
Lithology and Mineral Resources
Lithology and Mineral Resources 地学-地球化学与地球物理
CiteScore
1.30
自引率
37.50%
发文量
29
审稿时长
>12 weeks
期刊介绍: Lithology and Mineral Resources is an international peer reviewed journal that publishes articles on a wide range of problems related to the formation of sedimentary rocks and ores. Special attention is given to comparison of ancient sedimentary rock and ore formation with present-day processes. The major part of the journal is devoted to comparative analysis of sedimentary processes on the continents and in oceans, as well as the genetic aspects of the formation of sedimentary and hydrothermal–sedimentary mineral resources. The journal welcomes manuscripts from all countries in the English or Russian language.
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