Assessing the Influence of Multiresolution DEMs on Soil Loss Prediction using the RUSLE Model in Central Morocco

Authors

  • Nabil Aouichaty
     Hassan First University of Settat, Faculty of Sciences and Techniques, BNRNE Laboratory, Settat
  • Yassine Bouslihim
     National Institute for Agricultural Research, CRRA, Tadla
  • Said Hilali
     Hassan First University of Settat, Faculty of Sciences and Techniques, BNRNE Laboratory, Settat
  • Abdeljalil Zouhri
     Hassan First University of Settat, Faculty of Sciences and Techniques, CAE Laboratory, Settat
  • Yahya Koulali
     Hassan First University of Settat, Faculty of Sciences and Techniques, BNRNE Laboratory, Settat

Keywords:

No Keywords.

Abstract

The topography plays a significant role in determining the rate of soil loss. The Digital Elevation Model (DEM) retrieved from earth observation products can be used to calculate the slope length and steepness, which are important factors in the Revised Universal Soil Loss Equation (RUSLE) used to estimate soil erosion. In the present study, the effect of two DEM resolutions (30m and 90 m) on RUSLE model results was assessed and used to quantify the rate of soil loss in Settat province (Morocco), specifically in certain abandoned quarries. As a result, DEM-30 and DEM-90 soil erosion rates vary from 0 to 282.77 t.ha-1.yr-1 and 0 to 13.79 t.ha-1.yr-1, respectively. At the quarry level, the abandoned quarries showed soil loss rates ranging from 0 to 7.92 t.ha-1.yr-1 for DEM-30. Contrary to this, the soil loss rate for DEM-90 data was zero. To summarize, for more relevant and detailed conclusions, highresolution data must be used to collect more information and describe the erosion process with as much detail as possible, especially for small areas.

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Issue

Volume 100, Issue 3, March 2024 Pages (307-460)

Section

Research Articles

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Published

2024-03-01

How to Cite

Aouichaty, N., Bouslihim, Y., Hilali, S., Zouhri, A., & Koulali, Y. (2024). Assessing the Influence of Multiresolution DEMs on Soil Loss Prediction using the RUSLE Model in Central Morocco. Journal of Geological Society of India, 100(3), 426–433. Retrieved from http://www.geosocindia.com/index.php/jgsi/article/view/173849

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