Document Type : Original Article

Abstract

Cation Exchange Capacity (CEC) is an important characteristic of soil in absorption and desorption of nutrient and potential of heavy metals hazard and some of organic contamination. Knowing spatial patterns of CEC for sustainable management of ecosystems, has special importance. hence, the main objectives of this research was to evaluate, recognize and introduce the best interpolation methods for prediction of CEC in some of Guilan province soils. 153 points of surface soil in depth 0-15 cm were sampled and were measured clay, Organic carbon and CEC. Interpolation methods including kriging, cokriging, fuzzy kriging and regression kriging have been done using GIS. Results showed that the hybrid methods including regression kriging and fuzzy kriging, respectively with RMSE values of 1.02 and 1.2, significantly reduced the error of prediction compared with the other methods. In addition, between these two mentioned methods, the regression kriging had more efficiency in prediction of CEC. The results also revealed that increasing the number of data by means of the best pedotransfer functions (created by ANFIS) will enhance the accuracy of prediction. In general, combination of the best pedotransfer functions with the best interpolation method increased the accuracy of CEC prediction in the study area.
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