الفهرس 
المقدمةيوجد فقط 14 صفحة متاحة للعرض العام
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المستخلص
The rapid population growth in Egypt and the declining share of Egypt from the Nile River water led to the depletion of natural resources, especially water resources, which led to directing the state’s efforts to find alternative water resources to meet the increasing demand for water in Beni Suef by using your study model (DRASTIC) and your study model for DRASTIC, which were developed by the US Environmental Protection Agency (USEPA).
Through the use of geophysical survey techniques and geochemical analyzes of the wells of the study area in order to determine the efficiency of your DRASTIC study model and geomatics techniques represented in GIS and remote sensing RS in measuring the vulnerability of underground reservoirs to pollution in Beni Suef Governorate. The (DRASTIC) model was named by the name of the Seven Method Factors based on seven hydrological factors that are taken into account (groundwater depth, recharge, the depth of the underground water, the middle of the aquifer, the middle of the soil, the topography, the effect of the non-saturation zone, and the hydraulic conductivity)
The study stages included the documentation stage, followed by the field stage, which included the collection of 81 samples taken from 81 wells within the study area. They were selected according to the data obtained from the Resources Authority Water. Wells that were monitored in the field. Their locations were determined using GPS technology and their coordinates were fixed within the study area and signed on a digital map containing the layers containing groundwater (geological map), and building a geographical database for the study area.
Providing the necessary data for the study according to your study model (DRASTIC), and through geographic information systems (GIS), each parameter was represented in its own hydrological layer, and then each factor was classified according to the method of your study (DRASTIC) to several classifications, giving each classification a value ranging from 1 to 10. A rating of 10 indicates a high contamination potential, then a weight value is assigned to each parameter to express the importance of the hydrological parameter. Then, a merger of the seven extracted layers was done using GIS technology to show the most vulnerable areas to pollution.
Through the map of the sensitivity of groundwater to pollution that was created through the study laboratories Drastic Index. The extent of the groundwater susceptibility in the study area to pollution was assessed, and to come up with more accurate results In a realistic way, a land cover map was created for the study area, then the land cover map and the map of the sensitivity of groundwater to pollution produced DRASTIC were combined to produce a risk map for us.
The use of modern irrigation methods (such as drip irrigation), which does not allow quantities of water carrying pollutants to reach the layers of the aquifer, and the floodplain area fell within a very dangerous area due to the human activities built on it (residential areas and agricultural areas), and the irrigation methods used are flood irrigation.
It became clear from the chemical analyzes of the water samples of the study area, nitrate is the most threatening element in groundwater pollution. Close connection to the places most vulnerable to pollution. So areas with high levels of nitrate concentration are located in the areas most sensitive to pollution, and the coefficient (depth of groundwater and recharge of the aquifer) is the most effective factor affecting the weakness of the aquifer layer.
The soil medium factor has a significant impact on pollution Underground reservoirs, the type and composition of the soil constitutes a protection ratio for the aquifer, preventing the leakage of pollutants and their access to groundwater layers. The GIS technology also provided the student with an effective environment for analyzes and high capabilities for dealing with spatial data. The values of the analyzed chemical elements (such as dissolved salts (TDS), pH, electrical conductivity (EC), and chemical analyzes such as sodium (Na+), calcium (Ca+ 2), magnesium (Mg+ 2), manganese (Mn+2) and iron were also distributed. (Fe+2), chloride (Cl-), sulfate (SO4-2), nitrate (NO3-) and bicarbonate (HCO3-), and through the equation for assessing the quality of groundwater (Water Quality Index), the water of the study area was classified accordingly between excellent and good for agricultural use.