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Study of Spatial Variability of Some Soil Characteristics in Uromieh Plain  [2005]

Sokouti, Reza Mahdian, Mohammad Hoseyn Mahmodi, Shahla Ghayomian, Jafar et al.

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Planning and suitable soil management is necessary to optimal use of it and in this relation, spatial variability of soil characteristics is important. This may carry through geostatistical methods of parametric and non-parametric predictors such as TPSS, WMA, Kriging and Co-kriging. This research work was done in Southern part of Uromieh plain with 36690 ha surface area in order to study of the spatial variability of soil lime, sand and saturation moisture percent. To estimate and prediction of them in non-sampled points, the Kriging, Co- kriging and Weighted Moving Average were used in Geographic Information System environment and for selecting the suitable interpolation method, Cross validation and MAE and MBE parameters were used. Selected method was also used for estimating and mapping of the selected soil characteristics. The Sturges rule was used for defining map classification. Results showed that the kriging method has the highest accuracy with correlation coefficient of 0.83 and error of 3.98 percent for prediction of soil characteristics in non-sampled points.

From the journal

Water and Watershed: Journal of Science and Research in Watershed Management