Compare between two interpolation methods (Kriging, IDW) for predicting spatial distribution of nitrate NO3 - in groundwater of Estern Ghouta- Damascus

Groundwater is one of the major sources of exploitation in arid and semi-arid regions, Thus for protecting groundwater quality, data on spatial and temporal distribution are important. Geostatistics methods are one of the most advanced techniques for interpolation of groundwater quality. In this research, IDW, Kriging methods were used for predicting spatial distribution of nitrate NO3 -. Data were taken from 21 wells study within eastern Damascus's Ghouta. After normalization of data, variograme was drawn. The less RSS was used, so Spherical model was the best. By using cross-validation and RMSE, the best method for interpolation was selected; Results showed that Kriging method is superior to IDW method. there is a big spatial dependence for nitrate variable that amounts to 2.2 %. Finally, maps of distribution of nitrate in groundwater were executed by Kriging method, in addition to executed maps that show goodness of groundwater for drinking and irrigation. Then it was prepared map of Probability Map of nitrate at threshold 50 mg/l.

Building And Evaluating Digital Elevation Models (Dem) Byusing Geographic Information System

This research aimed for using Geographic Information System (GIS) in producing Digital Elevation Model (DEM) for Dimas District, By applying various methods: Spatial Analyst, Geo Statistical Analyst, Triangulated Irregular Network (TIN), and interpolating DEM from contour lines. The study showed that the best methods for interpolating DEM is Kriging method, Which interpolated an evaluated surface for scattered points which had (Z values) whether they were closed or scattered from each other. And (TIN) method which required less area on hard disc to be stored comparing with other methods, and it's perfect for representing surfaces in wide areas, Also generating DEM from contour lines produced DEM which had very accurate representing for surfaces.

Accuracy of interpolation methods for the derivation of digital elevation models based on gridding observations

In this study, we focused on the interpolation methods for the derivation of digital elevation models, based on field gridding observations with different spacing.

The Lithology Spatial Distribution of South Jableh Plain Using Spatial Statistical Methods

The idea of spatial interpolation stands of great importance depending on the accuracy of estimated (Hydrogeological) parameters of this area, which reduces excessive efforts to reach the best Hydrogeological model of the region with as little as possible, thus reducing the overall cost of the project. The studied area is located within the Sin plain (the southern part of the JABLEH plain). A free layer of water, ranging between 1m and 30m in thickness. The study relied on groundwater level data, soil thickness and type in 339 wells. The importance of this research Lies in mapping the best spatial distribution of characteristics using spatial statistical methods The aim of the research is to estimate the Coefficient of Permeability of the aquifer layer and its effective thickness using the two methods of spatial statistics methods (Kriging and IDW) for Hydrogeological parameters in the southern part of the Jableh plain.