Comparison Between Deterministic and Stochastic Interpolation Methods for Predicting Ground Water Level in Baghdad

Abstract

Surface interpolation techniques are usually used to createcontinuous data (i.e. raster data) from distributed set of point data over ageographical region. There are deterministic and stochastic (geostatistical)interpolation techniques can be used to create spatial raster surface. In thispaper, the comparison between the Inverse Distance Weight (IDW)interpolation method as deterministic method and the Kriging interpolationmethod as stochastic method is done to determine the best performance formeasuring levels of ground water in Baghdad Governorate. Spatial rastersurface surfaces as ground water prediction maps are generated from eachmethod by using average ground water level measured at 206 wells in thestudy area. These maps are shown spatial variation in the ground waterlevels and they have complete different. The IDW method results a refinedmap and lesser error than the Kriging method. Thus, the analysis shows thatthe IDW gives better real performance of measuring levels of ground waterin Baghdad Governorate.