ABSTRACT Soil erosion is one of the fundamental issues in the fields of environmental , natural resources and agriculture. And today know this topics and related issues that should be considered to take over. using Of new method Instead of traditional methods in order understanding and applying appropriate planning is essential. The aim of this study review Erodibility and Boir Ahmad province using soil erodibility factor (K) that is In connection with some effective properties at erodibility using geostatistical techniques .In this study, 42 soil samples with spatial distribution for determining the of amounts of fine sand, clay, silt, organic matter, at a depth of 0 to 30 cm of the soil was studied. And eventually came soil erodibility factor. According to results for study of spatial distribution parameters for fine sand, clay, organic matter variogram model Exponential and for parameters silt Gaussian model variogram and soil erodibility factor linear variogram model was the most appropriate variograms. The results of the comparison the methods showed that , For mapping of fine sand, clay and factor of erodibility used ordinary kriging and For mapping of organic matter and silt used of simple kriging With the minimum error. The map obtained showed that the lowest soil erodibility factor is with amount 086/0 in the Northeast and amount Maximum 53/0 in the southwestern the study area . Results are consistent with the correlation between the properties of the soil erodibility erodibility showed that the organic matter and clay erodibility factor, respectively with amount (R2=-0/64, P<0/01) and (R2=-0/97, P<0/01) there is Negative correlation significant. And between the amount of clay and silt with soil erodibility factor respectively with values(R2=-0/73, P<0/01) and (R2=-0/38, P<0/05 ) There is also a significant positive correlation.
sadati nejad, S. J., yazdani moghadam, Y., Khazayi, M., & vali, A. (2022). Study of soil erodibility using geostatistics way (Case Study: Province of Kohgiluyeh Boyer Ahmad). Desert Ecosystem Engineering, 4(6), 43-54.
MLA
seyed javad sadati nejad; yaghub yazdani moghadam; majid Khazayi; abasali vali. "Study of soil erodibility using geostatistics way (Case Study: Province of Kohgiluyeh Boyer Ahmad)", Desert Ecosystem Engineering, 4, 6, 2022, 43-54.
HARVARD
sadati nejad, S. J., yazdani moghadam, Y., Khazayi, M., vali, A. (2022). 'Study of soil erodibility using geostatistics way (Case Study: Province of Kohgiluyeh Boyer Ahmad)', Desert Ecosystem Engineering, 4(6), pp. 43-54.
VANCOUVER
sadati nejad, S. J., yazdani moghadam, Y., Khazayi, M., vali, A. Study of soil erodibility using geostatistics way (Case Study: Province of Kohgiluyeh Boyer Ahmad). Desert Ecosystem Engineering, 2022; 4(6): 43-54.
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