Spatial Distribution of Some Soil Properties, Using Geostatistical Methods in Khezrabad Region (Yazd) of Iran

ProEnvironment 3 (2010) 100 – 109


“Soil is an important compartment of the environment that is particularly easy to compromise, sensitive to short and long-term pollution and directly affects sustainability of ecosystems and human health. A prerequisite of ecosystem management decisions is monitoring of the spatial distribution of soil characteristics that geostatistics methods are one of the most advanced techniques. In the present study, kriging, cokriging and IDW methods were used for prediction of spatial distribution of salinity, water at saturation percentage, sodium adsorption ratio and percentage of sand, silt and clay in soils of Khezrabad region in Yazd province of Iran. After data normalization, the variograme was developed. For selecting the best model for competing on experimental variograme, the lower RSS value was used. The best model for interpretative was selected by means of cross validation and error evaluation methods, such as RMSE method. The results showed that kriging and cokriging methods were better than IDW method for prediction of soil properties. Moreover, soil texture and saturation percentage were better predicted by kriging method, where on, soil salinity and sodium adsorption ratio were better determined by cokriging method. The sum of Ca2++Mg2+ and Na+ concentration which were highly correlated with soil salinity and sodium adsorption ratio, respectively, are used as auxiliary parameters in this study. Finally, the soil characteristics maps were prepared, using the best interpolation method in GIS environment.”