Using geostatistical method for prediction the spatial variability of soil texture and its effect on environment (case study: Farahan Plain of Markazi Province, Iran)
Paper Details
Using geostatistical method for prediction the spatial variability of soil texture and its effect on environment (case study: Farahan Plain of Markazi Province, Iran)
Abstract
Soil texture is one of the most important soil properties governing most of the physical, chemical and hydrological properties of soils. Variability in soil texture may contribute to the variation in nutrient storage and availability, water retention and transport and binding and stability of soil aggregates. It can directly or indirectly influence many other soil functions and soil threats such as soil erosion. Geostatistics has been extensively used for quantifying the spatial pattern of soil properties and Kriging techniques are proving sufficiently robust for estimating values at unsampled locations in most of the cases. For this purpose, 50 soil samples were provided from fields of Farahan plain during May 2014. Soil texture was measured for each sample. The Kriging method with Circular, Spherical, Tetra spherical, Pent spherical, Exponential, Gaussian, Rational Quadratic, Hole Effect, k-Bassel, J-Bassel and Stable semivariograms for Prediction the Spatial Variability of Soil Texture in Farahan plain. The performance of methods was evaluated using by Root Mean Square Error (RMSE). The results showed that The Exponential has higher accuracy with RMSE=0.19221 for representing the spatial variability of semivariograms. Spatial variability of map showed loamy-sandy texture is higher in the central of Farahan plain than in the northern and southern area.
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Ali Afzali, Javad Varvani, Reza Jafarinia , 2015. Using geostatistical method for prediction the spatial variability of soil texture and its effect on environment (case study: Farahan Plain of Markazi Province, Iran). J. Biodiv. Environ. Sci., 6(3), 330-336.
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