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

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SEPAHVAND M.; KHORMALI F.; KIANI F.; EFTEKHARI K.

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Paper Information

Journal: Iranian Journal of Soil Research Year:2017 | Volume:31 | Issue:4 Page(s): 601-611

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Information Journal Paper

Title

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

Author(s)

SEPAHVAND M. | KHORMALI F. | KIANI F. | EFTEKHARI K. | Issue Writer Certificate

Keywords

Digital Elevation ModelQ1

LandscapeQ1

Middle ZagrosQ2

Slope gradientQ2

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.

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APA: Copy

SEPAHVAND, M., KHORMALI, F., KIANI, F., & EFTEKHARI, K.. (2017). Modeling Soil Depth and Topographic Attributes Relationship for Predicting Soil Depth in Rimeleh Catchment, Lorestan Province. IRANIAN JOURNAL OF SOIL RESEARCH (FORMERLY SOIL AND WATER SCIENCES), 31(4 ), 601-611. SID. https://sid.ir/paper/158885/en

Vancouver: Copy

SEPAHVAND M., KHORMALI F., KIANI F., EFTEKHARI K.. Modeling Soil Depth and Topographic Attributes Relationship for Predicting Soil Depth in Rimeleh Catchment, Lorestan Province. IRANIAN JOURNAL OF SOIL RESEARCH (FORMERLY SOIL AND WATER SCIENCES)[Internet]. 2017;31(4 ):601-611. Available from: https://sid.ir/paper/158885/en

IEEE: Copy

M. SEPAHVAND, F. KHORMALI, F. KIANI, and K. EFTEKHARI, “Modeling Soil Depth and Topographic Attributes Relationship for Predicting Soil Depth in Rimeleh Catchment, Lorestan Province,” IRANIAN JOURNAL OF SOIL RESEARCH (FORMERLY SOIL AND WATER SCIENCES), vol. 31, no. 4 , pp. 601–611, 2017, [Online]. Available: https://sid.ir/paper/158885/en

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