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Evaluate and Mapping Groundwater Quality using Geostatistics for Sustainable Land Management in Darb El-Arbaein, South Western Desert, Egypt

机译:利用埃及南部沙漠南部沙漠地区对可持续土地管理的地质地区评价和绘制地下水质量

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The objective of this study was to propose a simple method to assess the groundwater quality and to map their spatial variation in terms of suitability for irrigation in Darb El-Arbaein area. 36 surveyed wells with GPS data were used to assess and maps the groundwater quality. Multivariate Factor Analysis/Principal Component Analysis was used in order to develop a water quality index (WQI). The results of analyses have been used to map and predict models for water quality. The ordinary Kriging (OK) method was used to produce the spatial patterns of water quality. Based on these results, the distribution pattern of groundwater quality parameters such as EC, CI", and SAR are produced. The results showed that Circular semivariogram model was best fitted for chloride and Cd parameters where spherical model fitted best for Ni and Zn parameters. Stable semivariogram model was best fitted for Pb and SAR parameters where J-Bessel model fitted best for EC parameter. High salinity was due to high chloride concentration in the groundwater. Three of the 36 groundwater samples fall in the moderate WQI. Most of the samples (26) fall in the Doubtful WQI category. Seven samples fall in the higher WQI category. Groundwater samples that fall in the low salinity hazard class and high WQI can be used for irrigation of most crops and the majority of soils. The WQI for the samples ranges from 47.9 to 88.6. The irrigation water quality index distribution maps delineated an area of 266.66ha are suitable for irrigation in village 3-4 and area of 382.35ha are moderate suitability in village 1-2.
机译:本研究的目的是提出一种简单的方法来评估地下水质量,并在DARB el-Arbraein地区灌溉的适用性方面映射它们的空间变化。 36带GPS数据的受访井用于评估和映射地下水质量。使用多变量因子分析/主要成分分析,以制定水质指数(WQI)。分析结果已被用于映射和预测水质模型。普通的Kriging(OK)方法用于产生水质的空间模式。基于这些结果,生产了地下水质量参数的分布模式,如EC,CI“和SAR。结果表明,圆形半造型模型最适合氯化物和CD参数,其中球形模型适用于Ni和Zn参数。稳定的半啮盘模型最适合Pb和SAR参数,其中J-Bessel模型最适合EC参数。高盐度是由于地下水中的氯化物浓度高。36个地下水样品中的三个落入了中等的WQI。大多数样品(26)落在怀疑的WQI类别中。七个样本落在较高的WQI类别中。下落在低盐度危险类和高WQI的地下水样本可用于大多数作物和大多数土壤的灌溉。WQI样品范围为47.9至88.6。灌溉水质指数分布图描绘了266.66HA的面积适用于3-4村的灌溉和382.35HA的面积中等村庄1-2村。

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