Modeling Soil Depth and Topographic Attributes Relationship for Predicting Soil Depth in Rimeleh Catchment, Lorestan Province

Authors

1 PhD Student, Soil Sciences Department, Gorgan University of Agricultural Sciences and Natural Resources; and Scientific Staff of Lorestan Agricultural and Natural Resources Research and Education Center, Agricultural Research,Education and Extension Organization

2 Professor of Soil Sciences Department, Gorgan University of Agricultural Sciences and Natural Resources

3 Assistant Professor., Soil Sciences Department, Gorgan University of Agricultural Sciences and Natural Resources

4 Assistant Professor f., Soil and Water Research Institute, Agricultural Research, Education and Extension Organization

Abstract

Determination of soil depth and its variations is possible through soil survey and drilling. This requires budget, time, and skilled personnel. Soil – landscape relationships approach makes it possible to develop the soil depth predictor model from topographic attributes by using multiple linear regression statistic method. In this research, primary and secondary topographic attributes of the Rimeleh catchment were derived from a Digital Elevation Model (DEM). Soil depth was determined at 189 systematically randomized positions of the catchment by soil drilling. Data of soil depth and topographic attributes were analyzed using SPSS 19 software. Results showed that the soil depth predicted by the model had significant negative correlation (P<0.01) with slope gradient and elevation. The correlation coefficient of the model was 0.63. The fitted line to the scattered plot of observed soil depths and predicted soil depths had also a correlation coefficient of 0.65. Other topographic attributes affected the soil depth but their effects were not significant statistically. So, they were not included in the model.

Keywords

References

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Iranian Journal of Soil Research
Volume 31, Issue 4
March 2018
Pages 601-611

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