基于水-地电参数的模糊逻辑方法在地下水井位优选中的应用

Pub Date : 2023-04-19 DOI:10.11113/ijbes.v10.n2.1043
Z. Abdulrazzaq, Abdulsalam H. Alnaib
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引用次数: 0

摘要

萨拉赫丁省,包括位于拜伊吉区的研究区,被认为是伊拉克重要的农业区。因为这些地区主要依赖地下水。由于这导致了地下水库的枯竭,这使得许多井变成了不生产或低产量的井。因此,有必要对该地区的水力特性进行重新评价,然后根据评价数据确定高产新井的选址。选择新井位正变得越来越困难。所有的水力特性和地质因素都必须考虑在内。另一方面,地理信息系统技术被认为是确定最适当地点过程中使用的最可靠的技术之一。所有这些都是根据算法的使用来完成的,这些算法主要依赖于每个因素的重要性,并在选择和提名机制中将其作为一个类来处理。本研究在分析该地区含水层水力参数的基础上,通过地理信息系统技术,应用模糊逻辑确定高产新井的最佳位置。根据调查结果图将研究区划分为排除、低适宜性、中等适宜性和高适宜性4个类群。各适宜性分类面积分别为172.53、269.76、131.89、127.26 km2。
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Application of Fuzzy Logic Approach via GIS for Determining the Optimum Groundwater Wells Sites Based on the Hydro-Geoelectric Parameters
Salah Al-Din Governorate, including the study area located in Baiji district, is considered an important agricultural area in Iraq. As these areas have become mainly dependent on ground water. As this led to the depletion of underground water reservoirs, which turned many of the wells into unproductive or poorly productive wells. Therefore, there was a need to re-evaluate the hydraulic properties in the region, and then nominate sites for drilling new wells with high productivity according to the data of this evaluation. Selecting new well sites is becoming an increasingly difficult task. All hydraulic properties and geological factors must be taken into consideration. On the other hand, GIS technology is considered one of the most reliable techniques used in the process of determining the most appropriate sites. All this is done according to the use of algorithms that depend mainly on the importance of each factor and dealing with it as a class within the selection and nomination mechanism. In this study, fuzzy logic was applied through geographic information systems technology to determine the optimum sites for new well drilling with high productivity, based on the analysis of hydro-electrical parameters of the aquifer in the region. The research region was divided into four groups by the findings map: excluded, low suitability, moderate suitability, and high suitability. The area for each suitability category was 172.53, 269.76, 131.89, 127.26 km2 respectively.
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