GIS-BASED SEDIMENT YIELD ESTIMATION IN MUBI SOUTH WATERSHED, ADAMAWA STATE, NIGERIA

  • Sunday Thlakma Richard
  • Muhammad Tukur Murtala
  • Muhammad K. Adamu
  • Kibon Usman
Keywords: Watershed, Sediment Yield, SLEMSA and GIS

Abstract

In recent times, soil erosion becomes very critical environmental problems which causes severe range of land degradation. Sediment yield caused by deterioration process of soil by which occurred due to the physical movement of soil particles on land surface. This study aimed at estimation of sediment yield in Mubi South Watershed, with the aid of geospatial technology. The following data were used for the research; soil, rainfall, ASTER, sentinel 10 m satellite of the year 2016. Factor maps were generated for all the data which served as input layer for the SLEMSA model in estimation of sediment yield in the study area. It was found that, the magnitude of the soil loss was about 4.033 tons/ha/year. Also, the sediment yield was about 148.43 tons/ha/year. The research recommended a good soil loss management so as to reduce land degradation, soil loss and sedimentation within the watershed for planning and implementation of watershed management, degraded land restoration

References

Anderson, J. R., Hardy, E. E., Roach, J. T. and Witner, R. E. (2001). Landuse and Landcover Classification System for use with Remote Sensor Data. Geological Survey Professional Paper 964, Presented in United State Geological Survey Circular 671. Washington: United State Government Printing Office.

Arnoldus, H. M. J. (1980). An approximation of the rainfall factor in the Universal Soil Loss

Equation. In: De Boodt, M., Gabriels, D. (Eds.). Assessment of Erosion. Wiley, Chichester, UK, 127-132.

Beskow S., Mello C. R., Norton L. D., Curi N., Viola M. R. and Avanzi J. C. (2009). Soil erosion prediction in the Grande River Basin, Brazil using distributed modeling. Catena 79 (1): 49–59.

Boardman, J. (2006). Soil erosion science: Reflections on the limitations of current approaches, Catena, 68: 73-86.

De Jong, S. M. (1994). Applications of reflective remote sensing for land degradation studies in a Mediterranean environment. Netherlands Geographical Studies, 177.

Elwell, H.A. (1978). Modeling soil losses in southern Africa, Journal of Agric. Engineering Res. 23:117-127.

Eswaran, H., Lal, R., Reich, P.F., (2001). Land degradation: an overview. In: Bridges, E.M., Hannam, I.D., Oldeman, L.R., Penning de Vries, F.W.T., Scherr, S.J., Sombatpanit, S. (Eds.), Response to land degradation. Science Publishers Inc, Enfield, NH, USA, pp. 20–35.

Gao, P. (2008). Understanding watershed suspended sediment transport. Progress in Physical Geography 32(3): 243–263

Published
2023-04-12
How to Cite
RichardS. T., MurtalaM. T., AdamuM. K., & UsmanK. (2023). GIS-BASED SEDIMENT YIELD ESTIMATION IN MUBI SOUTH WATERSHED, ADAMAWA STATE, NIGERIA. FUDMA JOURNAL OF SCIENCES, 3(4), 440 - 448. Retrieved from https://fjs.fudutsinma.edu.ng/index.php/fjs/article/view/1669