الفهرس 
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Abstract
ABSTRACT
The increasing concerns about groundwater resources, makes managing such resources became a must. Monitoring networks are the base of any management process. Therefore, these networks are the main source of informations and have to result in very accurate outputs which need a huge number of observation wells. Nevertheless, increasing the number of wells means the increase of the cost and the time consumed in collecting these data especially if data are collected manually.
The aim of this research is to build optimized monitoring network that satisfies the need of accurate output with having the minimum number of wells, to make it cost-efficient. The accuracy of the output depends on the objective of the monitoring which is a Decision-maker task. Therefore, it was objected to deduce a relation between the accuracy required and the minimum number of wells to be observed.
To reach this target, geostatistical approach was used. It was found that the most suitable geostatistical model for interpolating groundwater-level data collected from District VI, El-Obour City using Geographical information systems (GIS) was found to be Ordinary kriging method, fitted with Gaussian function, data had to be normalized using Box-Cox with power parameter 2, and no external trend affects the data, all of them together composes the best matched model for the studied area to generate prediction error map with good accuracy that was used further on optimizing the existing monitoring network.
Nevertheless, different relations between the accuracy and number of wells were deduced in both graphical and analytical ways. Also, a tabulated confrontation between each of the resulted relations was created.