E3 Journal of Environmental Research and Management
E3 Journal of Environmental Research and Management Vol. 5 (8) pp. 0139-0147, August 2014; © E3 Journals; ISSN 2141-7466
Using OK and IDWmethods for prediction thespatial variability of a horizon depth and OM in soils of Shahrekord, Iran
Abbas Almasi 1 * , Ahmad Jalalian 1 , Norair Toomanian 11 PhD Student, Azad Islamic University, Khorasgan branch, Iran
2 Soil professor,Azad Islamic University, Khorasgan branch, Iran
3 Assistant professor, Soil Science, Isfahan Agricultural Research Center, Isfahan, Iran
*Corresponding Author E-mail: almasi549@yahoo.com
Accepted 31 July 2014
Abstract
This study attempts to evaluate some interpolation techniques for mapping spatial distribution of A horizon depth and OM in Shahrekord, Iran. 15000 hectares of South West Shahrekord soils were studied in which a total of 92 soil profiles were excavated and classified according to USDA. The performance of methods was evaluated by RMSE, ME and R2. Calculated RMSE for depth of A horizon were 0.01074, 0.19670 and 0.19858, respectively by IDW and OK (with Spherical and Exponential models). The RMSE for surface horizon OM were 0.05593, 0.12121 and 0.05078, respectively by IDW and OK (with Spherical and Exponential models). The results showed that IDW could estimate the variability of A horizon depth and Ok (with Exponential semi-variogram) could estimate the variability of depth of A horizon better than other methods. The weakness of kriging prediction of spatial continuity of depth of A horizon is due to effects of variability of soil forming factors in evolution of soils evolved in different land forms of study area which could take out the stationary assumptions.
Keywords: Ordinary Kriging, Inverse Distance Weighting, Evaluation of models
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