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- Title
Geostatistical Approach In Determining Appropriate Cell Size For Slope Length (Ls) Factor In Soil Erosion Modeling.
- Authors
Almasinia, Mohammad; Wan Hussin, Wan Muhd Aminuddin; alizadeh, hasan; Mamzaie, Shahryar
- Abstract
Soil erosion has been one of the environmental problems that have a very significant impact in human life. Various models have been introduced and used in studying the impact which include, among others, Revised Universal Soil Loss Equation (RUSLE) which is used in this study. This model requires a number of parameters such as rainfall erosivity (R), soil erodability (K), slope length and steepness (LS), crop cover (C) and prevention practice (P). With a Geographical Information System (GIS), such modeling can be accomplished and commonly done using raster technique whereby all the parameters are mapped in the form of grid layers of a specific cell size. The issue is that the appropriate cell size is always ignored or wrongly chosen without a thorough statistical analysis made prior to the analysis. This is the focus of this research whereby four cell sizes are selected, i.e. 30m, 50m, 100m and 300m and applied to data of Kuala Yong (in Pergau, Kelantan) as a sample test. LS factor has been selected for this comparison where semivariogram models are fitted to the height information (based on the original 20-m contour topographic map) and the best parameters such as nugget, partial sill and sill are derived. Overall results show that with increasing cell size up to 50m, the nugget effect decreases and spatial dependency increases. According to best spatial dependency and high variances and diversity of 50 m cell spacing, the Digital Elevation Model (DEM) of this cell size is found the most appropriate for such dataset. In general, results of this study confirm that geostatistical analysis could and should be applied to select suitable cell spacing in DEM to predict topographical factor in soil erosion modeling.
- Subjects
SOIL erosion; CELL size; REVISED Universal Soil Loss Equation (RUSLE); GEOGRAPHIC information systems; DIGITAL elevation models
- Publication
Caspian Journal of Applied Sciences Research, 2014, Vol 3, Issue 7, p8
- ISSN
2251-9114
- Publication type
Article