الفهرس 
INTRODUCTION
Soil chemical propertiesOnly 14 pages are availabe for public view
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Abstract
The present study was carried out on the soils of br Sinnuris district, Fayoum, Egypt to identify the contribution of GIS to establish a database containing ground water characteristics illustrating the relationship between soil variable spatial impacts, particularly physical and chemical properties and ground water characteristics. The relationship between different soil variables and ground water characteristics were identified through executing a semi-detailed soil/water survey. One hundred forty soil samples and 20 ground water samples were collected -#102;-#114;-#111;-#109; fifty six soil sites following the grid system with lag distances of 2 km to allocate the representative profile model positions which are exacted by the GPS. br In general, the majority of the studied area 90.8% has the depth -gt;150 cm, -#119;-#104;-#101;-#114;-#101;as ground water level between 75 – 150 cm represent 8.2% and the level shallower than 75 cm represent 1% -#102;-#114;-#111;-#109; the studied area (52707 feddan), Also, the saline ground water (-gt;10 dS m-1) and moderately saline (5.0 – 10.0 dS m-1) are located mainly in the northern and eastern parts of the study area and constitute 0.75% and 10.75% respectively. -#119;-#104;-#101;-#114;-#101;as the slightly saline (1.5- 5 dS m-1) and light saline (-lt;1.5 dS m-1) represent 54.5% and 34% of the study area, respectively. br Highly positive correlation between soil salinity and ground water salinity were detected, -#119;-#104;-#101;-#114;-#101;as, the reverse was observed with ground water depth, which showed a negative and highly significant correlation. br Increase clay content or total porosity caused decreasing the hydraulic conductivity (water movement) values, which they caused increasing the available water values, the influence of the studied soil variables on the hydraulic conductivity is arranged in the following descending -#111;-#114;-#100;-#101;-#114; clay content -gt; total porosity -gt; bulk density -gt; soil salinity. br The statistical analysis yields the following equations: br 1. Surface Layer: br Y1 = 14.50 – 0.06 X1+1.60 X2 – 0.23 X3– 0.02 X4 (R2 =0.57) br Y2 = 45.56 + 0.12 X1 +17.85 X2 – 0.13 X3 – 0.02 X4 (R2 =0.60) br Y3 = 34.95 + 0.02 X1-12.4 X2 – 0.33 X3 – 0.18 X4 (R2 =0.85) br Y4 = 848.07 –1.94 X1 -304.29 X2 – 4.03 X3 – 0.88 X4 (R2 =0.25) br 1. Subsurface Layer: br Y1 = 35.95 – 0.14 X1 – 9.01X2 – 0.33 X3 – 0.01 X4 (R2 =0.61) br Y2 = 0.54 + 0.18 X1 +2.02 X2 + 0.20 X3– 0.10 X4 (R2 =0.68) br Y3 = 18.96 + 0.01 X1 -7.90 X2 – 0.14 X3+ 0.50 X4 (R2 =0.78) br Y4 = 0654.18 –1.55 X1 -204.54X2 –2.87 X3–2.60X4 (R2 =0.25) br br Whears: br Y1= Hydraulic conductivity (cm/hr) Y2= Available water (%) br Y3= Ground water salinity (dS m-1) Y4= Ground water depth (cm) br X1= Clay content (%) X2= Bulk density (g cm-3) br X3= Total porosity (cm3/cm3) X4= ECe (dS m-1) br According to the current study we can conclude that, incorporation of GIS methodology applied in the present study seemed to be very helpful to produce accurate digital maps. Therefore, it is recommended to apply such scientific methodology, depending on the most advanced recent technology, on other different areas, the current study might recommend a beneficial use of the shallow ground water less than 1m depth contributing in irrigation requirements for some important crops such as sugar beet, sunflower, and sorghum In Fayoum Governorat. br Key words: Ground water depth, water movement, soil salinity, GIS, ILWIS program, soils of Sinnuris district, Fayoum.