Assessment of Spatial Soil Erosion Using RUSLE Model Integration with GIS and RS Tools a Case Study of Gojeb Catchment, Omo-Gibe Basin, Ethiopia

Eyasu Tafese Mekuria

doi:doi:10.11648/j.ijepp.20221005.13

| Peer-Reviewed

Assessment of Spatial Soil Erosion Using RUSLE Model Integration with GIS and RS Tools a Case Study of Gojeb Catchment, Omo-Gibe Basin, Ethiopia

Eyasu Tafese Mekuria

Published in International Journal of Environmental Protection and Policy (Volume 10, Issue 5)

Received: 17 August 2022 Accepted: 25 October 2022 Published: 31 October 2022

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

Abstract

Soil erosion is a natural process in which earth materials are entrained and transported across a given surface mainly by wind and water. Gojeb catchment is one of the catchments found in the Omo-Gibe Basin, Ethiopia with soil erosion problems. It covers 6932.345 km². The current study was undertaken with the application of RUSLE and Geographic information system (GIS) to estimate the soil erosion of Gojeb catchment and identifications of the most affected area based on severity level. To determine the parameters of RUSLE, rainfall, soil map, Landuse Landcover, Digital elevation model data’s of Gojeb catchment was collected from different sources. The rainfall Erosivity (R), soil erodibility (K), topographic (LS), land cover (C), land management (P) were combined in Arc GIS environment using RUSLE. Annual soil loss of the catchment was determined by combining all the important parameters of RUSLE. The estimated annual soil loss value in the watershed varies from 0 to 85 ton/ha/yr, with an average value of 38 ton/ha/yr. The spatial soil erosion severity of the watershed was grouped into six classes low severity class covers 31.425%, moderate severity class covers 12.5%, high severity class covers 16.75%, very high severity class covers 7.63% sever severity class covers 11.4% and very sever severity class cover 20.3% of the area depending on soil loss hazards. In Gojeb catchment concerning stakeholders, for the different districts, which have exposed to very high to extreme sever loss classes given immediate priorities to proper conservation and mitigating measures.

Published in	International Journal of Environmental Protection and Policy (Volume 10, Issue 5)
DOI	10.11648/j.ijepp.20221005.13
Page(s)	130-139
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), 2024. Published by Science Publishing Group

Keywords

Arc GIS, Gojeb catchment, RUSLE, Omo-Gibe Basin, Ethiopia

References

[1]	M. Kouli and Æ. P. Soupios, “Soil erosion prediction using the Revised Universal Soil Loss Equation (RUSLE) in a GIS framework, Chania, Northwestern Crete, Greece,” 2008, doi: 10.1007/s00254-008-1318-9.
[2]	R. Benavidez, B. Jackson, D. Maxwell, and K. Norton, “A review of the (Revised) Universal Soil Loss Equation (R / USLE): with a view to increasing its global applicability and improving soil loss estimates,” no. February, 2018.
[3]	R. Girma and E. Gebre, “Spatial modeling of erosion hotspots using GIS-RUSLE interface in Omo-Gibe river basin, Southern Ethiopia: implication for soil and water conservation planning,” Environ. Syst. Res., vol. 9, no. 1, 2020, doi: 10.1186/s40068-020-00180-7.
[4]	S. L. and B. S. A. Durga Bahadur Tiruwa, Babu Ram Khanal, “Soil erosion estimation using Geographic Information System (GIS) and Revised Universal Soil Loss Equation (RUSLE) in the Siwalik Hills of Nawalparasi, Nepal,” pp. 1958–1974, 2021, doi: 10.2166/wcc.2021.198.
[5]	W. S. Merritt, R. A. Letcher, and A. J. Jakeman, “A review of erosion and sediment transport models,” Environ. Model. Softw., vol. 18, no. 8–9, pp. 761–799, 2003, doi: 10.1016/S1364-8152(03)00078-1.
[6]	K. G. Renard, G. R. Foster, G. A. Weesies, and J. P. Porter, “RUSLE: revised universal soil loss equation,” J. Soil Water Conserv., vol. 46, no. 1, pp. 30–33, 1991.
[7]	K. G. Renard, G. R. Foster, G. A. Weesies, and J. P. Porter, “RUSLE revisited: Status, questions, answers, and the future,” 1994.
[8]	K. G. Renard and J. R. Freimund, “Using monthly precipitation data to estimate the R-factor in the revised USLE,” J. Hydrol., vol. 157, no. 1–4, pp. 287–306, 1994, doi: 10.1016/0022-1694(94)90110-4.
[9]	Yoder, “The future of RUSLE: inside the new Revised Universal Soil Loss Equation,” J. Soil Water Conserv., vol. 50, no. 5, pp. 484–489, Jan. 1995, [Online]. Available: https://eurekamag.com/research/002/714/002714814.php.
[10]	A. K. M. Dagnachew, Melku, “Land Use Land Cover Changes and Its drivers in Gojeb River Catchment, Omo Land Use Land Cover Changes and Its drivers in Gojeb River Catchment, Omo Gibe Basin, Ethiopia,” no. August, pp. 32–56, 2020, doi: 10.12895/jaeid.20201.842.
[11]	K. Wolka, B. Biazin, V. Martinsen, and J. Mulder, “Soil and water conservation management on hill slopes in Southwest Ethiopia. I. Effects of soil bunds on surface runoff, erosion and loss of nutrients,” Sci. Total Environ., p. 142877, 2020, doi: 10.1016/j.scitotenv.2020.142877.
[12]	M. C. Choramo, “IMPACT OF LAND-USE/LAND-COVER CHANGE ON STREAM FLOW AND SEDIMENT YIELDS: A CASE STUDY OF GOJEB WATERSHED, OMO GIBE BASIN, ETHIOPIA,” vol. 4, no. February, pp. 9–15, 2017.
[13]	D. L. D. Panditharathne, N. S. Abeysingha, K. G. S. Nirmanee, and A. Mallawatantri, “Application of revised universal soil loss equation (Rusle) model to assess soil erosion in ‘kalu Ganga’ River Basin in Sri Lanka,” Appl. Environ. Soil Sci., vol. 2019, 2019, doi: 10.1155/2019/4037379.
[14]	G. Tesfaye and T. Ameyu, “Soil Erodibility Analysis and Mapping in Gilgel Gibe-I Catchment, Omo-Gibe River Basin, Ethiopia,” Appl. Environ. Soil Sci., vol. 2021, 2021, doi: 10.1155/2021/8985783.
[15]	A. Y. Yesuph and A. B. Dagnew, “Soil erosion mapping and severity analysis based on RUSLE model and local perception in the Beshillo Catchment of the Blue Nile Basin, Ethiopia,” Environ. Syst. Res., vol. 8, no. 1, pp. 1–21, 2019, doi: 10.1186/s40068-019-0145-1.
[16]	G. Girmay, A. Moges, and A. Muluneh, “Estimation of soil loss rate using the USLE model for Agewmariayam Watershed, northern Ethiopia,” Agric. Food Secur., vol. 9, no. 1, pp. 1–12, 2020, doi: 10.1186/s40066-020-00262-w.
[17]	T. Amsalu and A. Mengaw, “GIS Based Soil Loss Estimation Using RUSLE Model: The Case of Jabi Tehinan Woreda, ANRS, Ethiopia Keywords GIS, Remote Sensing, Multi-Criteria Evaluation (MCE), RUSLE, Weighted Overlay, Land Use/Land Cover (LULC), Soil Loss,” Nat. Resour., vol. 5, pp. 616–626, 2014.
[18]	S. KUMAR and S. P. S. KUSHWAHA, “Modelling soil erosion risk based on RUSLE-3D using GIS in a Shivalik sub-watershed,” J. Earth Syst. Sci., vol. 122, no. 2, pp. 389–398, 2013, doi: 10.1007/s12040-013-0276-0.
[19]	K. K., B. F., and O. O., “Assessment of Soil Erosion By Rusle Model Using Gis: a Case Study of Chemorah Basin, Algeria,” Malaysian J. Geosci., vol. 4, no. 2, pp. 70–78, 2020, doi: 10.26480/mjg.02.2020.70.78.
[20]	A. Luvai, J. Obiero, and C. Omuto, “Soil Loss Assessment Using the Revised Universal Soil Loss Equation (RUSLE) Model,” Appl. Environ. Soil Sci., vol. 2022, 2022, doi: 10.1155/2022/2122554.
[21]	A. Adugna, A. Abegaz, and A. Cerdà, “Soil erosion assessment and control in Northeast Wollega, Ethiopia,” Solid Earth Discuss., vol. 7, no. 4, pp. 3511–3540, 2015, doi: 10.5194/sed-7-3511-2015.

Cite This Article

Plain Text BibTeX RIS

APA Style

Eyasu Tafese Mekuria. (2022). Assessment of Spatial Soil Erosion Using RUSLE Model Integration with GIS and RS Tools a Case Study of Gojeb Catchment, Omo-Gibe Basin, Ethiopia. International Journal of Environmental Protection and Policy, 10(5), 130-139. https://doi.org/10.11648/j.ijepp.20221005.13

Copy | Download

ACS Style

Eyasu Tafese Mekuria. Assessment of Spatial Soil Erosion Using RUSLE Model Integration with GIS and RS Tools a Case Study of Gojeb Catchment, Omo-Gibe Basin, Ethiopia. Int. J. Environ. Prot. Policy 2022, 10(5), 130-139. doi: 10.11648/j.ijepp.20221005.13

Copy | Download

AMA Style

Eyasu Tafese Mekuria. Assessment of Spatial Soil Erosion Using RUSLE Model Integration with GIS and RS Tools a Case Study of Gojeb Catchment, Omo-Gibe Basin, Ethiopia. Int J Environ Prot Policy. 2022;10(5):130-139. doi: 10.11648/j.ijepp.20221005.13

Copy | Download

@article{10.11648/j.ijepp.20221005.13,
  author = {Eyasu Tafese Mekuria},
  title = {Assessment of Spatial Soil Erosion Using RUSLE Model Integration with GIS and RS Tools a Case Study of Gojeb Catchment, Omo-Gibe Basin, Ethiopia},
  journal = {International Journal of Environmental Protection and Policy},
  volume = {10},
  number = {5},
  pages = {130-139},
  doi = {10.11648/j.ijepp.20221005.13},
  url = {https://doi.org/10.11648/j.ijepp.20221005.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepp.20221005.13},
  abstract = {Soil erosion is a natural process in which earth materials are entrained and transported across a given surface mainly by wind and water. Gojeb catchment is one of the catchments found in the Omo-Gibe Basin, Ethiopia with soil erosion problems. It covers 6932.345 km2. The current study was undertaken with the application of RUSLE and Geographic information system (GIS) to estimate the soil erosion of Gojeb catchment and identifications of the most affected area based on severity level. To determine the parameters of RUSLE, rainfall, soil map, Landuse Landcover, Digital elevation model data’s of Gojeb catchment was collected from different sources. The rainfall Erosivity (R), soil erodibility (K), topographic (LS), land cover (C), land management (P) were combined in Arc GIS environment using RUSLE. Annual soil loss of the catchment was determined by combining all the important parameters of RUSLE. The estimated annual soil loss value in the watershed varies from 0 to 85 ton/ha/yr, with an average value of 38 ton/ha/yr. The spatial soil erosion severity of the watershed was grouped into six classes low severity class covers 31.425%, moderate severity class covers 12.5%, high severity class covers 16.75%, very high severity class covers 7.63% sever severity class covers 11.4% and very sever severity class cover 20.3% of the area depending on soil loss hazards. In Gojeb catchment concerning stakeholders, for the different districts, which have exposed to very high to extreme sever loss classes given immediate priorities to proper conservation and mitigating measures.},
 year = {2022}
}

Copy | Download

TY  - JOUR
T1  - Assessment of Spatial Soil Erosion Using RUSLE Model Integration with GIS and RS Tools a Case Study of Gojeb Catchment, Omo-Gibe Basin, Ethiopia
AU  - Eyasu Tafese Mekuria
Y1  - 2022/10/31
PY  - 2022
N1  - https://doi.org/10.11648/j.ijepp.20221005.13
DO  - 10.11648/j.ijepp.20221005.13
T2  - International Journal of Environmental Protection and Policy
JF  - International Journal of Environmental Protection and Policy
JO  - International Journal of Environmental Protection and Policy
SP  - 130
EP  - 139
PB  - Science Publishing Group
SN  - 2330-7536
UR  - https://doi.org/10.11648/j.ijepp.20221005.13
AB  - Soil erosion is a natural process in which earth materials are entrained and transported across a given surface mainly by wind and water. Gojeb catchment is one of the catchments found in the Omo-Gibe Basin, Ethiopia with soil erosion problems. It covers 6932.345 km2. The current study was undertaken with the application of RUSLE and Geographic information system (GIS) to estimate the soil erosion of Gojeb catchment and identifications of the most affected area based on severity level. To determine the parameters of RUSLE, rainfall, soil map, Landuse Landcover, Digital elevation model data’s of Gojeb catchment was collected from different sources. The rainfall Erosivity (R), soil erodibility (K), topographic (LS), land cover (C), land management (P) were combined in Arc GIS environment using RUSLE. Annual soil loss of the catchment was determined by combining all the important parameters of RUSLE. The estimated annual soil loss value in the watershed varies from 0 to 85 ton/ha/yr, with an average value of 38 ton/ha/yr. The spatial soil erosion severity of the watershed was grouped into six classes low severity class covers 31.425%, moderate severity class covers 12.5%, high severity class covers 16.75%, very high severity class covers 7.63% sever severity class covers 11.4% and very sever severity class cover 20.3% of the area depending on soil loss hazards. In Gojeb catchment concerning stakeholders, for the different districts, which have exposed to very high to extreme sever loss classes given immediate priorities to proper conservation and mitigating measures.
VL  - 10
IS  - 5
ER  -

Copy | Download

Author Information

Eyasu Tafese Mekuria

Department of Hydraulic and Water Resources Engineering, Wolkite University, Wolkite, Ethiopia

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Eyasu Tafese Mekuria. (2022). Assessment of Spatial Soil Erosion Using RUSLE Model Integration with GIS and RS Tools a Case Study of Gojeb Catchment, Omo-Gibe Basin, Ethiopia. International Journal of Environmental Protection and Policy, 10(5), 130-139. https://doi.org/10.11648/j.ijepp.20221005.13

Copy | Download

ACS Style

Eyasu Tafese Mekuria. Assessment of Spatial Soil Erosion Using RUSLE Model Integration with GIS and RS Tools a Case Study of Gojeb Catchment, Omo-Gibe Basin, Ethiopia. Int. J. Environ. Prot. Policy 2022, 10(5), 130-139. doi: 10.11648/j.ijepp.20221005.13

Copy | Download

AMA Style

Eyasu Tafese Mekuria. Assessment of Spatial Soil Erosion Using RUSLE Model Integration with GIS and RS Tools a Case Study of Gojeb Catchment, Omo-Gibe Basin, Ethiopia. Int J Environ Prot Policy. 2022;10(5):130-139. doi: 10.11648/j.ijepp.20221005.13

Copy | Download

@article{10.11648/j.ijepp.20221005.13,
  author = {Eyasu Tafese Mekuria},
  title = {Assessment of Spatial Soil Erosion Using RUSLE Model Integration with GIS and RS Tools a Case Study of Gojeb Catchment, Omo-Gibe Basin, Ethiopia},
  journal = {International Journal of Environmental Protection and Policy},
  volume = {10},
  number = {5},
  pages = {130-139},
  doi = {10.11648/j.ijepp.20221005.13},
  url = {https://doi.org/10.11648/j.ijepp.20221005.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepp.20221005.13},
  abstract = {Soil erosion is a natural process in which earth materials are entrained and transported across a given surface mainly by wind and water. Gojeb catchment is one of the catchments found in the Omo-Gibe Basin, Ethiopia with soil erosion problems. It covers 6932.345 km2. The current study was undertaken with the application of RUSLE and Geographic information system (GIS) to estimate the soil erosion of Gojeb catchment and identifications of the most affected area based on severity level. To determine the parameters of RUSLE, rainfall, soil map, Landuse Landcover, Digital elevation model data’s of Gojeb catchment was collected from different sources. The rainfall Erosivity (R), soil erodibility (K), topographic (LS), land cover (C), land management (P) were combined in Arc GIS environment using RUSLE. Annual soil loss of the catchment was determined by combining all the important parameters of RUSLE. The estimated annual soil loss value in the watershed varies from 0 to 85 ton/ha/yr, with an average value of 38 ton/ha/yr. The spatial soil erosion severity of the watershed was grouped into six classes low severity class covers 31.425%, moderate severity class covers 12.5%, high severity class covers 16.75%, very high severity class covers 7.63% sever severity class covers 11.4% and very sever severity class cover 20.3% of the area depending on soil loss hazards. In Gojeb catchment concerning stakeholders, for the different districts, which have exposed to very high to extreme sever loss classes given immediate priorities to proper conservation and mitigating measures.},
 year = {2022}
}

Copy | Download

TY  - JOUR
T1  - Assessment of Spatial Soil Erosion Using RUSLE Model Integration with GIS and RS Tools a Case Study of Gojeb Catchment, Omo-Gibe Basin, Ethiopia
AU  - Eyasu Tafese Mekuria
Y1  - 2022/10/31
PY  - 2022
N1  - https://doi.org/10.11648/j.ijepp.20221005.13
DO  - 10.11648/j.ijepp.20221005.13
T2  - International Journal of Environmental Protection and Policy
JF  - International Journal of Environmental Protection and Policy
JO  - International Journal of Environmental Protection and Policy
SP  - 130
EP  - 139
PB  - Science Publishing Group
SN  - 2330-7536
UR  - https://doi.org/10.11648/j.ijepp.20221005.13
AB  - Soil erosion is a natural process in which earth materials are entrained and transported across a given surface mainly by wind and water. Gojeb catchment is one of the catchments found in the Omo-Gibe Basin, Ethiopia with soil erosion problems. It covers 6932.345 km2. The current study was undertaken with the application of RUSLE and Geographic information system (GIS) to estimate the soil erosion of Gojeb catchment and identifications of the most affected area based on severity level. To determine the parameters of RUSLE, rainfall, soil map, Landuse Landcover, Digital elevation model data’s of Gojeb catchment was collected from different sources. The rainfall Erosivity (R), soil erodibility (K), topographic (LS), land cover (C), land management (P) were combined in Arc GIS environment using RUSLE. Annual soil loss of the catchment was determined by combining all the important parameters of RUSLE. The estimated annual soil loss value in the watershed varies from 0 to 85 ton/ha/yr, with an average value of 38 ton/ha/yr. The spatial soil erosion severity of the watershed was grouped into six classes low severity class covers 31.425%, moderate severity class covers 12.5%, high severity class covers 16.75%, very high severity class covers 7.63% sever severity class covers 11.4% and very sever severity class cover 20.3% of the area depending on soil loss hazards. In Gojeb catchment concerning stakeholders, for the different districts, which have exposed to very high to extreme sever loss classes given immediate priorities to proper conservation and mitigating measures.
VL  - 10
IS  - 5
ER  -

Copy | Download