الفهرس 
Literature Review ......Only 14 pages are availabe for public view
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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.