Suppr超能文献

基于层次分析法的地下水盐度势时间变化研究。

Investigation of temporal variation of groundwater salinity potential using AHP-based index.

机构信息

Environmental Engineering Department, Aksaray University, Aksaray, Turkey.

Geological Engineering Department, Aksaray University, Aksaray, Turkey.

出版信息

Environ Monit Assess. 2023 Feb 6;195(3):365. doi: 10.1007/s10661-023-10993-5.

Abstract

In this study, a Groundwater Salinity Index (GSI) was developed to monitor the salinity potential and water quality of freshwater aquifers adjacent to Lake Tuz, one of the world's hypersaline lakes. The hierarchical structure of the index was designed by using the Analytical Hierarchy Process and eight different parameters that cause groundwater salinity. In addition to the index, a classification system based on GSI scores is proposed that evaluates salinity potential in three different categories as "high," "medium," and "low." In order to evaluate the temporal variation of salinity potential, the GSI was applied to the results of the water chemistry analysis carried out in 2012 and 2019. Prediction maps showing the salinity potential were obtained using GSI scores and the Kriging interpolation process. According to the index scores and maps, it was determined that the salinity potential rose towards the inner parts of the region because of the increasing salinity rate of groundwater as approximately 15%. The fields with the highest salinity potential are concentrated in the western regions along the shore of Lake Tuz. The groundwater closer to the lake has the characteristics of NaCl facies. Due to the mixing of NaCl and CaHCO water facies at various rates, different water types have emerged in the region. Freshwater aquifers located close to Lake Tuz were mainly contaminated by Lake Tuz and the groundwater that has a high salt content as a result of water-rock interaction.

摘要

在这项研究中,开发了一个地下水盐度指数(GSI),以监测与图兹湖(世界上最咸的湖泊之一)相邻的淡水含水层的盐度潜力和水质。该指数的层次结构是通过使用层次分析法和导致地下水盐度的八个不同参数来设计的。除了指数外,还提出了一个基于 GSI 得分的分类系统,将盐度潜力分为“高”、“中”和“低”三个不同类别进行评估。为了评估盐度潜力的时间变化,将 GSI 应用于 2012 年和 2019 年进行的水化学分析结果。使用 GSI 得分和克里金插值过程获得了显示盐度潜力的预测图。根据指数得分和地图,确定由于地下水盐度率增加约 15%,盐度潜力向区域内部上升。盐度潜力最高的区域集中在图兹湖沿岸的西部地区。靠近湖泊的地下水具有 NaCl 相的特征。由于 NaCl 和 CaHCO 水相以不同的速率混合,该区域出现了不同的水类型。靠近图兹湖的淡水含水层主要受到图兹湖和由于水岩相互作用而具有高盐分的地下水的污染。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验