Assessment of Spatial Soil Erosion Using RUSLE Model Integration with GIS and RS Tools: The Case of Gilgel Gibe-I Catchment, South West Ethiopia

Alemayehu Gemeda Wedajo; Fekadu Fufa; Abebayehu Aticho Mentsiro

doi:doi:10.11648/j.bio.20221001.12

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Assessment of Spatial Soil Erosion Using RUSLE Model Integration with GIS and RS Tools: The Case of Gilgel Gibe-I Catchment, South West Ethiopia

Alemayehu Gemeda Wedajo, Fekadu Fufa, Abebayehu Aticho Mentsiro

Published in American Journal of Bioscience and Bioengineering (Volume 10, Issue 1)

Received: 8 February 2022 Accepted: 3 March 2022 Published: 9 March 2022

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Abstract

Water-induced soil erosion is one of the serious environmental, agricultural, and socioeconomic problems in Ethiopian highlands. Accurate information on the rates of soil erosion helps environment protection and socio-economic development efforts of the nation. The objective of this research was to estimate annual soil loss, sediment yield, and map erosion risk areas of Gilgel Gibe-I (GG-I) catchment via integrating Revised Universal Soil Loss Equation (RULSE) model with Geographical Information System (GIS) and Remote Sensing (RS) technologies. The model inputs variables; rainfall erosivity (R), soil erodibility (K), topographic (LS), land cover (C) and land management (P) were derived from meteorological stations, Ethio-soil map, and satellite image of the catchment. The annual soil loss (t^-1ha^-1yr) was estimated using pixel-by-pixel ArcGIS map overlays to ensure the accuracy of RULSE output. The model output revealed on average 12.52 (t^-1ha^-1yr) soils was lost from GG-I catchment through sheet and rill erosion. The rates of soil loss were varying in the catchment, 59.8% of the catchment exposed to low rate (<5 t^-1ha^-1yr), 12.2% to moderate rate (5-12 t^-1ha^-1yr), 11.7% to high rate (12-30 t^-1ha^-1yr), and 6.6% to severe (>30 t^-1ha^-1yr). The annual sediment yield capacity of the catchment was 2.54 t^-1ha and delivery ration estimated 0.203% transported to outlet of the catchment-GGI hydropower dam. To combat the problems of GG-I hydropower dam siltation, land degradation, and low agricultural productivity an integrated natural resource management intervention is required throughout the catchment particularly in high and severe erosion risk areas.

Published in	American Journal of Bioscience and Bioengineering (Volume 10, Issue 1)
DOI	10.11648/j.bio.20221001.12
Page(s)	10-22
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2022. Published by Science Publishing Group

Keywords

Soil Erosion, RULSE, Erosion Molding, Soil Erosion Severity, Gilgel-Gibe, Siltation, Catchment, Watershed

References

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Alemayehu Gemeda Wedajo, Fekadu Fufa, Abebayehu Aticho Mentsiro. (2022). Assessment of Spatial Soil Erosion Using RUSLE Model Integration with GIS and RS Tools: The Case of Gilgel Gibe-I Catchment, South West Ethiopia. American Journal of Bioscience and Bioengineering, 10(1), 10-22. https://doi.org/10.11648/j.bio.20221001.12

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Alemayehu Gemeda Wedajo; Fekadu Fufa; Abebayehu Aticho Mentsiro. Assessment of Spatial Soil Erosion Using RUSLE Model Integration with GIS and RS Tools: The Case of Gilgel Gibe-I Catchment, South West Ethiopia. Am. J. BioSci. Bioeng. 2022, 10(1), 10-22. doi: 10.11648/j.bio.20221001.12

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AMA Style

Alemayehu Gemeda Wedajo, Fekadu Fufa, Abebayehu Aticho Mentsiro. Assessment of Spatial Soil Erosion Using RUSLE Model Integration with GIS and RS Tools: The Case of Gilgel Gibe-I Catchment, South West Ethiopia. Am J BioSci Bioeng. 2022;10(1):10-22. doi: 10.11648/j.bio.20221001.12

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@article{10.11648/j.bio.20221001.12,
  author = {Alemayehu Gemeda Wedajo and Fekadu Fufa and Abebayehu Aticho Mentsiro},
  title = {Assessment of Spatial Soil Erosion Using RUSLE Model Integration with GIS and RS Tools: The Case of Gilgel Gibe-I Catchment, South West Ethiopia},
  journal = {American Journal of Bioscience and Bioengineering},
  volume = {10},
  number = {1},
  pages = {10-22},
  doi = {10.11648/j.bio.20221001.12},
  url = {https://doi.org/10.11648/j.bio.20221001.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.bio.20221001.12},
  abstract = {Water-induced soil erosion is one of the serious environmental, agricultural, and socioeconomic problems in Ethiopian highlands. Accurate information on the rates of soil erosion helps environment protection and socio-economic development efforts of the nation. The objective of this research was to estimate annual soil loss, sediment yield, and map erosion risk areas of Gilgel Gibe-I (GG-I) catchment via integrating Revised Universal Soil Loss Equation (RULSE) model with Geographical Information System (GIS) and Remote Sensing (RS) technologies. The model inputs variables; rainfall erosivity (R), soil erodibility (K), topographic (LS), land cover (C) and land management (P) were derived from meteorological stations, Ethio-soil map, and satellite image of the catchment. The annual soil loss (t-1ha-1yr) was estimated using pixel-by-pixel ArcGIS map overlays to ensure the accuracy of RULSE output. The model output revealed on average 12.52 (t-1ha-1yr) soils was lost from GG-I catchment through sheet and rill erosion. The rates of soil loss were varying in the catchment, 59.8% of the catchment exposed to low rate (-1ha-1yr), 12.2% to moderate rate (5-12 t-1ha-1yr), 11.7% to high rate (12-30 t-1ha-1yr), and 6.6% to severe (>30 t-1ha-1yr). The annual sediment yield capacity of the catchment was 2.54 t-1ha and delivery ration estimated 0.203% transported to outlet of the catchment-GGI hydropower dam. To combat the problems of GG-I hydropower dam siltation, land degradation, and low agricultural productivity an integrated natural resource management intervention is required throughout the catchment particularly in high and severe erosion risk areas.},
 year = {2022}
}

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TY  - JOUR
T1  - Assessment of Spatial Soil Erosion Using RUSLE Model Integration with GIS and RS Tools: The Case of Gilgel Gibe-I Catchment, South West Ethiopia
AU  - Alemayehu Gemeda Wedajo
AU  - Fekadu Fufa
AU  - Abebayehu Aticho Mentsiro
Y1  - 2022/03/09
PY  - 2022
N1  - https://doi.org/10.11648/j.bio.20221001.12
DO  - 10.11648/j.bio.20221001.12
T2  - American Journal of Bioscience and Bioengineering
JF  - American Journal of Bioscience and Bioengineering
JO  - American Journal of Bioscience and Bioengineering
SP  - 10
EP  - 22
PB  - Science Publishing Group
SN  - 2328-5893
UR  - https://doi.org/10.11648/j.bio.20221001.12
AB  - Water-induced soil erosion is one of the serious environmental, agricultural, and socioeconomic problems in Ethiopian highlands. Accurate information on the rates of soil erosion helps environment protection and socio-economic development efforts of the nation. The objective of this research was to estimate annual soil loss, sediment yield, and map erosion risk areas of Gilgel Gibe-I (GG-I) catchment via integrating Revised Universal Soil Loss Equation (RULSE) model with Geographical Information System (GIS) and Remote Sensing (RS) technologies. The model inputs variables; rainfall erosivity (R), soil erodibility (K), topographic (LS), land cover (C) and land management (P) were derived from meteorological stations, Ethio-soil map, and satellite image of the catchment. The annual soil loss (t-1ha-1yr) was estimated using pixel-by-pixel ArcGIS map overlays to ensure the accuracy of RULSE output. The model output revealed on average 12.52 (t-1ha-1yr) soils was lost from GG-I catchment through sheet and rill erosion. The rates of soil loss were varying in the catchment, 59.8% of the catchment exposed to low rate (-1ha-1yr), 12.2% to moderate rate (5-12 t-1ha-1yr), 11.7% to high rate (12-30 t-1ha-1yr), and 6.6% to severe (>30 t-1ha-1yr). The annual sediment yield capacity of the catchment was 2.54 t-1ha and delivery ration estimated 0.203% transported to outlet of the catchment-GGI hydropower dam. To combat the problems of GG-I hydropower dam siltation, land degradation, and low agricultural productivity an integrated natural resource management intervention is required throughout the catchment particularly in high and severe erosion risk areas.
VL  - 10
IS  - 1
ER  -

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Author Information

Alemayehu Gemeda Wedajo

Department of Soil Resources and Watershed Management, College of Natural Resources and Environmental Science, Oda Bultum University, Chiro, Ethiopia
Fekadu Fufa

Water Supply and Environmental Engineering, Jimma Institute of Technology, Jimma University, Jimma, Ethiopia
Abebayehu Aticho Mentsiro

Department of Natural Resource Management, College of Agriculture and Veterinary Medicine, Jimma University, Jimma, Ethiopia

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Alemayehu Gemeda Wedajo, Fekadu Fufa, Abebayehu Aticho Mentsiro. (2022). Assessment of Spatial Soil Erosion Using RUSLE Model Integration with GIS and RS Tools: The Case of Gilgel Gibe-I Catchment, South West Ethiopia. American Journal of Bioscience and Bioengineering, 10(1), 10-22. https://doi.org/10.11648/j.bio.20221001.12

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Alemayehu Gemeda Wedajo; Fekadu Fufa; Abebayehu Aticho Mentsiro. Assessment of Spatial Soil Erosion Using RUSLE Model Integration with GIS and RS Tools: The Case of Gilgel Gibe-I Catchment, South West Ethiopia. Am. J. BioSci. Bioeng. 2022, 10(1), 10-22. doi: 10.11648/j.bio.20221001.12

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AMA Style

Alemayehu Gemeda Wedajo, Fekadu Fufa, Abebayehu Aticho Mentsiro. Assessment of Spatial Soil Erosion Using RUSLE Model Integration with GIS and RS Tools: The Case of Gilgel Gibe-I Catchment, South West Ethiopia. Am J BioSci Bioeng. 2022;10(1):10-22. doi: 10.11648/j.bio.20221001.12

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@article{10.11648/j.bio.20221001.12,
  author = {Alemayehu Gemeda Wedajo and Fekadu Fufa and Abebayehu Aticho Mentsiro},
  title = {Assessment of Spatial Soil Erosion Using RUSLE Model Integration with GIS and RS Tools: The Case of Gilgel Gibe-I Catchment, South West Ethiopia},
  journal = {American Journal of Bioscience and Bioengineering},
  volume = {10},
  number = {1},
  pages = {10-22},
  doi = {10.11648/j.bio.20221001.12},
  url = {https://doi.org/10.11648/j.bio.20221001.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.bio.20221001.12},
  abstract = {Water-induced soil erosion is one of the serious environmental, agricultural, and socioeconomic problems in Ethiopian highlands. Accurate information on the rates of soil erosion helps environment protection and socio-economic development efforts of the nation. The objective of this research was to estimate annual soil loss, sediment yield, and map erosion risk areas of Gilgel Gibe-I (GG-I) catchment via integrating Revised Universal Soil Loss Equation (RULSE) model with Geographical Information System (GIS) and Remote Sensing (RS) technologies. The model inputs variables; rainfall erosivity (R), soil erodibility (K), topographic (LS), land cover (C) and land management (P) were derived from meteorological stations, Ethio-soil map, and satellite image of the catchment. The annual soil loss (t-1ha-1yr) was estimated using pixel-by-pixel ArcGIS map overlays to ensure the accuracy of RULSE output. The model output revealed on average 12.52 (t-1ha-1yr) soils was lost from GG-I catchment through sheet and rill erosion. The rates of soil loss were varying in the catchment, 59.8% of the catchment exposed to low rate (-1ha-1yr), 12.2% to moderate rate (5-12 t-1ha-1yr), 11.7% to high rate (12-30 t-1ha-1yr), and 6.6% to severe (>30 t-1ha-1yr). The annual sediment yield capacity of the catchment was 2.54 t-1ha and delivery ration estimated 0.203% transported to outlet of the catchment-GGI hydropower dam. To combat the problems of GG-I hydropower dam siltation, land degradation, and low agricultural productivity an integrated natural resource management intervention is required throughout the catchment particularly in high and severe erosion risk areas.},
 year = {2022}
}

Copy | Download

TY  - JOUR
T1  - Assessment of Spatial Soil Erosion Using RUSLE Model Integration with GIS and RS Tools: The Case of Gilgel Gibe-I Catchment, South West Ethiopia
AU  - Alemayehu Gemeda Wedajo
AU  - Fekadu Fufa
AU  - Abebayehu Aticho Mentsiro
Y1  - 2022/03/09
PY  - 2022
N1  - https://doi.org/10.11648/j.bio.20221001.12
DO  - 10.11648/j.bio.20221001.12
T2  - American Journal of Bioscience and Bioengineering
JF  - American Journal of Bioscience and Bioengineering
JO  - American Journal of Bioscience and Bioengineering
SP  - 10
EP  - 22
PB  - Science Publishing Group
SN  - 2328-5893
UR  - https://doi.org/10.11648/j.bio.20221001.12
AB  - Water-induced soil erosion is one of the serious environmental, agricultural, and socioeconomic problems in Ethiopian highlands. Accurate information on the rates of soil erosion helps environment protection and socio-economic development efforts of the nation. The objective of this research was to estimate annual soil loss, sediment yield, and map erosion risk areas of Gilgel Gibe-I (GG-I) catchment via integrating Revised Universal Soil Loss Equation (RULSE) model with Geographical Information System (GIS) and Remote Sensing (RS) technologies. The model inputs variables; rainfall erosivity (R), soil erodibility (K), topographic (LS), land cover (C) and land management (P) were derived from meteorological stations, Ethio-soil map, and satellite image of the catchment. The annual soil loss (t-1ha-1yr) was estimated using pixel-by-pixel ArcGIS map overlays to ensure the accuracy of RULSE output. The model output revealed on average 12.52 (t-1ha-1yr) soils was lost from GG-I catchment through sheet and rill erosion. The rates of soil loss were varying in the catchment, 59.8% of the catchment exposed to low rate (-1ha-1yr), 12.2% to moderate rate (5-12 t-1ha-1yr), 11.7% to high rate (12-30 t-1ha-1yr), and 6.6% to severe (>30 t-1ha-1yr). The annual sediment yield capacity of the catchment was 2.54 t-1ha and delivery ration estimated 0.203% transported to outlet of the catchment-GGI hydropower dam. To combat the problems of GG-I hydropower dam siltation, land degradation, and low agricultural productivity an integrated natural resource management intervention is required throughout the catchment particularly in high and severe erosion risk areas.
VL  - 10
IS  - 1
ER  -

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