Estimation of Soil Erosion Using RUSLE in GIS Frame Work: In the Case Study of Wanka Catchment in Estie District, Amhara, Ethiopia

Abiyu Wubalem

doi:doi:10.11648/j.es.20220702.11

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Estimation of Soil Erosion Using RUSLE in GIS Frame Work: In the Case Study of Wanka Catchment in Estie District, Amhara, Ethiopia

Abiyu Wubalem

Published in Engineering Science (Volume 7, Issue 2)

Received: 10 March 2022 Accepted: 20 April 2022 Published: 28 April 2022

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Abstract

Today soil erosion by water is the most critical natural degradation problems that remove surface top soil by depressive action of rainfall intensity followed by runoff. Due to this reason USLE model have been used to estimate total annual soil loss of the catchment. The objective of this study is to estimate the total annual soil loss using USLE in GIS framework in Wanka catchment. The methodology of this study was used to combine the six USLE’s significant physical input factors such as Rainfall erosivity factor, soil erodibility factor, land cover factor, topographic factor and support practices factor to estimate soil loss of the study area. These factor was converted to raster layer format in GIS and multiplied together to estimate soil loss in ton per hectare per year of the study area with raster calculator. Finally the study showed that the estimation of annual soil loss of the catchment have been ranged between 0 to 169.321 ton/ha/year. These result used as threshold for the implementation of effective soil and water conservation measures to minimize soil loss risk in this catchment. In addition to the soil loss result, as seen in filed survey the catchment was prone to land degradation with unwise use of natural resource this should have been require a decision for the management and protection of natural resources.

Published in	Engineering Science (Volume 7, Issue 2)
DOI	10.11648/j.es.20220702.11
Page(s)	23-32
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

Erosion, GIS, RUSLE, Wanka Catchment

References

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Abiyu Wubalem. (2022). Estimation of Soil Erosion Using RUSLE in GIS Frame Work: In the Case Study of Wanka Catchment in Estie District, Amhara, Ethiopia. Engineering Science, 7(2), 23-32. https://doi.org/10.11648/j.es.20220702.11

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ACS Style

Abiyu Wubalem. Estimation of Soil Erosion Using RUSLE in GIS Frame Work: In the Case Study of Wanka Catchment in Estie District, Amhara, Ethiopia. Eng. Sci. 2022, 7(2), 23-32. doi: 10.11648/j.es.20220702.11

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AMA Style

Abiyu Wubalem. Estimation of Soil Erosion Using RUSLE in GIS Frame Work: In the Case Study of Wanka Catchment in Estie District, Amhara, Ethiopia. Eng Sci. 2022;7(2):23-32. doi: 10.11648/j.es.20220702.11

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@article{10.11648/j.es.20220702.11,
  author = {Abiyu Wubalem},
  title = {Estimation of Soil Erosion Using RUSLE in GIS Frame Work: In the Case Study of Wanka Catchment in Estie District, Amhara, Ethiopia},
  journal = {Engineering Science},
  volume = {7},
  number = {2},
  pages = {23-32},
  doi = {10.11648/j.es.20220702.11},
  url = {https://doi.org/10.11648/j.es.20220702.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.es.20220702.11},
  abstract = {Today soil erosion by water is the most critical natural degradation problems that remove surface top soil by depressive action of rainfall intensity followed by runoff. Due to this reason USLE model have been used to estimate total annual soil loss of the catchment. The objective of this study is to estimate the total annual soil loss using USLE in GIS framework in Wanka catchment. The methodology of this study was used to combine the six USLE’s significant physical input factors such as Rainfall erosivity factor, soil erodibility factor, land cover factor, topographic factor and support practices factor to estimate soil loss of the study area. These factor was converted to raster layer format in GIS and multiplied together to estimate soil loss in ton per hectare per year of the study area with raster calculator. Finally the study showed that the estimation of annual soil loss of the catchment have been ranged between 0 to 169.321 ton/ha/year. These result used as threshold for the implementation of effective soil and water conservation measures to minimize soil loss risk in this catchment. In addition to the soil loss result, as seen in filed survey the catchment was prone to land degradation with unwise use of natural resource this should have been require a decision for the management and protection of natural resources.},
 year = {2022}
}

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TY  - JOUR
T1  - Estimation of Soil Erosion Using RUSLE in GIS Frame Work: In the Case Study of Wanka Catchment in Estie District, Amhara, Ethiopia
AU  - Abiyu Wubalem
Y1  - 2022/04/28
PY  - 2022
N1  - https://doi.org/10.11648/j.es.20220702.11
DO  - 10.11648/j.es.20220702.11
T2  - Engineering Science
JF  - Engineering Science
JO  - Engineering Science
SP  - 23
EP  - 32
PB  - Science Publishing Group
SN  - 2578-9279
UR  - https://doi.org/10.11648/j.es.20220702.11
AB  - Today soil erosion by water is the most critical natural degradation problems that remove surface top soil by depressive action of rainfall intensity followed by runoff. Due to this reason USLE model have been used to estimate total annual soil loss of the catchment. The objective of this study is to estimate the total annual soil loss using USLE in GIS framework in Wanka catchment. The methodology of this study was used to combine the six USLE’s significant physical input factors such as Rainfall erosivity factor, soil erodibility factor, land cover factor, topographic factor and support practices factor to estimate soil loss of the study area. These factor was converted to raster layer format in GIS and multiplied together to estimate soil loss in ton per hectare per year of the study area with raster calculator. Finally the study showed that the estimation of annual soil loss of the catchment have been ranged between 0 to 169.321 ton/ha/year. These result used as threshold for the implementation of effective soil and water conservation measures to minimize soil loss risk in this catchment. In addition to the soil loss result, as seen in filed survey the catchment was prone to land degradation with unwise use of natural resource this should have been require a decision for the management and protection of natural resources.
VL  - 7
IS  - 2
ER  -

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Author Information

Abiyu Wubalem

Department of Water, Irrigation and Energy, South Gondar Administration Zone, Amhara, Ethiopia

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APA Style

Abiyu Wubalem. (2022). Estimation of Soil Erosion Using RUSLE in GIS Frame Work: In the Case Study of Wanka Catchment in Estie District, Amhara, Ethiopia. Engineering Science, 7(2), 23-32. https://doi.org/10.11648/j.es.20220702.11

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ACS Style

Abiyu Wubalem. Estimation of Soil Erosion Using RUSLE in GIS Frame Work: In the Case Study of Wanka Catchment in Estie District, Amhara, Ethiopia. Eng. Sci. 2022, 7(2), 23-32. doi: 10.11648/j.es.20220702.11

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AMA Style

Abiyu Wubalem. Estimation of Soil Erosion Using RUSLE in GIS Frame Work: In the Case Study of Wanka Catchment in Estie District, Amhara, Ethiopia. Eng Sci. 2022;7(2):23-32. doi: 10.11648/j.es.20220702.11

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@article{10.11648/j.es.20220702.11,
  author = {Abiyu Wubalem},
  title = {Estimation of Soil Erosion Using RUSLE in GIS Frame Work: In the Case Study of Wanka Catchment in Estie District, Amhara, Ethiopia},
  journal = {Engineering Science},
  volume = {7},
  number = {2},
  pages = {23-32},
  doi = {10.11648/j.es.20220702.11},
  url = {https://doi.org/10.11648/j.es.20220702.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.es.20220702.11},
  abstract = {Today soil erosion by water is the most critical natural degradation problems that remove surface top soil by depressive action of rainfall intensity followed by runoff. Due to this reason USLE model have been used to estimate total annual soil loss of the catchment. The objective of this study is to estimate the total annual soil loss using USLE in GIS framework in Wanka catchment. The methodology of this study was used to combine the six USLE’s significant physical input factors such as Rainfall erosivity factor, soil erodibility factor, land cover factor, topographic factor and support practices factor to estimate soil loss of the study area. These factor was converted to raster layer format in GIS and multiplied together to estimate soil loss in ton per hectare per year of the study area with raster calculator. Finally the study showed that the estimation of annual soil loss of the catchment have been ranged between 0 to 169.321 ton/ha/year. These result used as threshold for the implementation of effective soil and water conservation measures to minimize soil loss risk in this catchment. In addition to the soil loss result, as seen in filed survey the catchment was prone to land degradation with unwise use of natural resource this should have been require a decision for the management and protection of natural resources.},
 year = {2022}
}

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TY  - JOUR
T1  - Estimation of Soil Erosion Using RUSLE in GIS Frame Work: In the Case Study of Wanka Catchment in Estie District, Amhara, Ethiopia
AU  - Abiyu Wubalem
Y1  - 2022/04/28
PY  - 2022
N1  - https://doi.org/10.11648/j.es.20220702.11
DO  - 10.11648/j.es.20220702.11
T2  - Engineering Science
JF  - Engineering Science
JO  - Engineering Science
SP  - 23
EP  - 32
PB  - Science Publishing Group
SN  - 2578-9279
UR  - https://doi.org/10.11648/j.es.20220702.11
AB  - Today soil erosion by water is the most critical natural degradation problems that remove surface top soil by depressive action of rainfall intensity followed by runoff. Due to this reason USLE model have been used to estimate total annual soil loss of the catchment. The objective of this study is to estimate the total annual soil loss using USLE in GIS framework in Wanka catchment. The methodology of this study was used to combine the six USLE’s significant physical input factors such as Rainfall erosivity factor, soil erodibility factor, land cover factor, topographic factor and support practices factor to estimate soil loss of the study area. These factor was converted to raster layer format in GIS and multiplied together to estimate soil loss in ton per hectare per year of the study area with raster calculator. Finally the study showed that the estimation of annual soil loss of the catchment have been ranged between 0 to 169.321 ton/ha/year. These result used as threshold for the implementation of effective soil and water conservation measures to minimize soil loss risk in this catchment. In addition to the soil loss result, as seen in filed survey the catchment was prone to land degradation with unwise use of natural resource this should have been require a decision for the management and protection of natural resources.
VL  - 7
IS  - 2
ER  -

Copy | Download