Assessment spatial variability of soil erodibility by using of geostatistic and GIS (Case study MEHR watershed of SABZEVAR)
PDF (Português (Brasil))

How to Cite

AYOUBI, S. A.; ALIZADEH, M. H. Assessment spatial variability of soil erodibility by using of geostatistic and GIS (Case study MEHR watershed of SABZEVAR). Sociedade & Natureza, [S. l.], v. 1, n. 1, 2005. DOI: 10.14393/SN-v1-2005-9668. Disponível em: Acesso em: 20 may. 2024.


Soil erodibility is one of the key factors on some sediment and soil erosion models such as USLE, MUSLE, RUSLE, AUSLE (USLE modified in LS factor) and MMF and represents like K factor and is function of particle distribution, organic mater, soil structure and permeability. Traditional methods do not take spatial variability and estimate precision of variables in to consideration and amount of them are constant across the whole of soil series . This study was performed to assess spatial variability of soil erodibility and its relevant variables at MEHR watershed from Khorasan province, in northern Iran. Interested network was designed by 110 samples like nested- systematic with distance about 50, 100, 250 and 500 meter across the study area by preparing point map at GIS. Sampling points were identified in field by an Global Positioning system. Soil sampling was done at depth of 0-5cm of ground surface and permeability was studied at depth of 5-30 cm. Some soil properties such as particle distribution and organic mater were measured at laboratory. Particle size distribution was determined by Hydrometer method and Organic matter was measured by wet oxidation approach. Then spatial analysis was done. Variography analysis on soil attributes according to soil erodibility, showed that Gaussian, exponential and spherical models were the most models to predict spatial variability of soil parameters. The range of spatial dependencies was changed from 320 to 3200 m. Soil attribute maps prepared by kriging technique using models parameters. Then soil attributes were composed by Wischmeier (1978) formula in Illwis media to calculate K factor. Amount of soil erodibility changed from 0.13 to 0.91 that it's maximum and minimum was identified in east and southwest of studied area. Soil spatial variability pattern, is similar to silt pattern due to high effect of silt on soil erodibility, Also that is partially confirmed with geology map, indicated which soil erodibility attribute controlled by parent material. High amount of soil erodibility in southwest area of given study area showed need to more attention for conservation the soil and control erosion.
PDF (Português (Brasil))
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright (c) 2009 S. A. Ayoubi, M. H. Alizadeh


Download data is not yet available.


Metrics Loading ...