利用地质统计学和确定性模型识别地下水质量的空间变异性

Desert Pub Date : 2019-06-01 DOI:10.22059/JDESERT.2019.72448
Z. Feizi, A. Keshtkar, A. Afzali
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引用次数: 0

摘要

需水的主要部分如伊朗卡尚平原等干旱地区由地下水井供应。本研究利用地质统计学和确定性技术对研究区地下水质量进行了评估,并对地下水质量进行了建模和制图。采用电导率、钠吸附比、总硬度、总溶解固形物和pH等5个水质参数,采用Wilcox图和WHO标准确定灌溉饮用水水质指标。最终绘制的地表图表明,研究区地下水水质由北向南呈递增趋势。研究区中部、南部和东部南部的水质最适宜灌溉和饮用。根据Wilcox图分区结果,确定研究区地下水水质良好、中等和不适宜的比例分别为22%、42%和36%
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using geostatistical and deterministic modelling to identify spatial variability of groundwater quality
The main portion of water demands of arid regions like Kashan Plain, Iran supply by groundwater wells. This research was conducted to assess the groundwater quality as well as modelling and mapping groundwater quality in the study area using geosatistics and deterministic techniques. Five water quality parameters, including Electrical Conductivity, Sodium Adsorption Ratio, Total Hardness, Total Dissolved Solids and pH, were applied to determine the irrigation and drinking water quality index using the Wilcox diagram and WHO standards. The final map indicated that the groundwater quality increased from north to south of the study area. The areas located in the centre, south and eastern south of the study area had the optimum quality for irrigation and drinking purposes. Furthermore, based on the results of zoning using the Wilcox diagram determined that ground water quality of the study area 22%, 42% and 36% were good, medium and non-suitable, respectively
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