A Geographic Information System Based Soil Loss and Sediment Estimation in Zingin Watershed for Conservation Planning, Highlands of Ethiopia

Gizachew Ayalew

doi:doi:10.11648/j.ijsts.20150301.14

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A Geographic Information System Based Soil Loss and Sediment Estimation in Zingin Watershed for Conservation Planning, Highlands of Ethiopia

Gizachew Ayalew

Published in International Journal of Science, Technology and Society (Volume 3, Issue 1)

Received: 20 October 2014 Accepted: 3 November 2014 Published: 30 January 2015

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Abstract

Zingin watershed is one of the most erosion-prone watersheds in the highlands of Ethiopia which received little attention. This study was, therefore, carried out to spatially predict the soil loss rate of the watershed with a Geographic Information System (GIS) and Remote Sensing (RS). Revised Universal Soil Loss Equation (RUSLE) adapted to Ethiopian conditions was used to estimate potential soil losses by utilizing information on rainfall erosivity (R) using interpolation of rainfall data, soil erodibility (K) using soil map, vegetation cover (C) using satellite images, topography (LS) using Digital Elevation Model (DEM) and conservation practices (P ) using satellite images. Based on the analysis, the total annual soil loss potential of the study watershed Based on the analysis, the mean and total annual soil loss potential of the study watershed was 9.10 ton tons/yr and 57750.15 t/yr, respectively. About 78.31% (4969.63 ha) of the watershed was categorized none to slight class which under SLT values ranging from 5 to 11 tons ha-1yr-1. The remaining 21.69% (1376.48 ha) of land was classified under moderate to high class about several times the maximum tolerable soil loss (11 tons ha-1 y-1). The study demonstrates that the RUSLE together with GIS provide a good estimate soil loss rate over areas.

Published in	International Journal of Science, Technology and Society (Volume 3, Issue 1)
DOI	10.11648/j.ijsts.20150301.14
Page(s)	28-35
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), 2015. Published by Science Publishing Group

Keywords

Soil Erosion, RUSLE, GIS, Zingin Watershed, Ethiopia

References

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Gizachew Ayalew. (2015). A Geographic Information System Based Soil Loss and Sediment Estimation in Zingin Watershed for Conservation Planning, Highlands of Ethiopia. International Journal of Science, Technology and Society, 3(1), 28-35. https://doi.org/10.11648/j.ijsts.20150301.14

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ACS Style

Gizachew Ayalew. A Geographic Information System Based Soil Loss and Sediment Estimation in Zingin Watershed for Conservation Planning, Highlands of Ethiopia. Int. J. Sci. Technol. Soc. 2015, 3(1), 28-35. doi: 10.11648/j.ijsts.20150301.14

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AMA Style

Gizachew Ayalew. A Geographic Information System Based Soil Loss and Sediment Estimation in Zingin Watershed for Conservation Planning, Highlands of Ethiopia. Int J Sci Technol Soc. 2015;3(1):28-35. doi: 10.11648/j.ijsts.20150301.14

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@article{10.11648/j.ijsts.20150301.14,
  author = {Gizachew Ayalew},
  title = {A Geographic Information System Based Soil Loss and Sediment Estimation in Zingin Watershed for Conservation Planning, Highlands of Ethiopia},
  journal = {International Journal of Science, Technology and Society},
  volume = {3},
  number = {1},
  pages = {28-35},
  doi = {10.11648/j.ijsts.20150301.14},
  url = {https://doi.org/10.11648/j.ijsts.20150301.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsts.20150301.14},
  abstract = {Zingin watershed is one of the most erosion-prone watersheds in the highlands of Ethiopia which received little attention. This study was, therefore, carried out to spatially predict the soil loss rate of the watershed with a Geographic Information System (GIS) and Remote Sensing (RS). Revised Universal Soil Loss Equation (RUSLE) adapted to Ethiopian conditions was used to estimate potential soil losses by utilizing information on  rainfall erosivity (R) using interpolation of rainfall data, soil erodibility (K) using soil map, vegetation cover (C) using satellite images, topography (LS) using Digital Elevation Model (DEM) and conservation practices (P ) using satellite images. Based on the analysis, the total annual soil loss potential of the study watershed Based on the analysis, the mean and total annual soil loss potential of the study watershed was 9.10 ton tons/yr and 57750.15 t/yr, respectively. About 78.31% (4969.63 ha) of the watershed was categorized none to slight class which under SLT values ranging from 5 to 11 tons ha-1yr-1. The remaining 21.69% (1376.48 ha) of land was classified under moderate to high class about several times the maximum tolerable soil loss (11 tons ha-1 y-1). The study demonstrates that the RUSLE together with GIS provide a good estimate soil loss rate over areas.},
 year = {2015}
}

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TY  - JOUR
T1  - A Geographic Information System Based Soil Loss and Sediment Estimation in Zingin Watershed for Conservation Planning, Highlands of Ethiopia
AU  - Gizachew Ayalew
Y1  - 2015/01/30
PY  - 2015
N1  - https://doi.org/10.11648/j.ijsts.20150301.14
DO  - 10.11648/j.ijsts.20150301.14
T2  - International Journal of Science, Technology and Society
JF  - International Journal of Science, Technology and Society
JO  - International Journal of Science, Technology and Society
SP  - 28
EP  - 35
PB  - Science Publishing Group
SN  - 2330-7420
UR  - https://doi.org/10.11648/j.ijsts.20150301.14
AB  - Zingin watershed is one of the most erosion-prone watersheds in the highlands of Ethiopia which received little attention. This study was, therefore, carried out to spatially predict the soil loss rate of the watershed with a Geographic Information System (GIS) and Remote Sensing (RS). Revised Universal Soil Loss Equation (RUSLE) adapted to Ethiopian conditions was used to estimate potential soil losses by utilizing information on  rainfall erosivity (R) using interpolation of rainfall data, soil erodibility (K) using soil map, vegetation cover (C) using satellite images, topography (LS) using Digital Elevation Model (DEM) and conservation practices (P ) using satellite images. Based on the analysis, the total annual soil loss potential of the study watershed Based on the analysis, the mean and total annual soil loss potential of the study watershed was 9.10 ton tons/yr and 57750.15 t/yr, respectively. About 78.31% (4969.63 ha) of the watershed was categorized none to slight class which under SLT values ranging from 5 to 11 tons ha-1yr-1. The remaining 21.69% (1376.48 ha) of land was classified under moderate to high class about several times the maximum tolerable soil loss (11 tons ha-1 y-1). The study demonstrates that the RUSLE together with GIS provide a good estimate soil loss rate over areas.
VL  - 3
IS  - 1
ER  -

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Author Information

Gizachew Ayalew

Amhara Design and Supervision Works Enterprise (ADSWE), Bahir Dar, Ethiopia

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Plain Text BibTeX RIS

APA Style

Gizachew Ayalew. (2015). A Geographic Information System Based Soil Loss and Sediment Estimation in Zingin Watershed for Conservation Planning, Highlands of Ethiopia. International Journal of Science, Technology and Society, 3(1), 28-35. https://doi.org/10.11648/j.ijsts.20150301.14

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ACS Style

Gizachew Ayalew. A Geographic Information System Based Soil Loss and Sediment Estimation in Zingin Watershed for Conservation Planning, Highlands of Ethiopia. Int. J. Sci. Technol. Soc. 2015, 3(1), 28-35. doi: 10.11648/j.ijsts.20150301.14

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AMA Style

Gizachew Ayalew. A Geographic Information System Based Soil Loss and Sediment Estimation in Zingin Watershed for Conservation Planning, Highlands of Ethiopia. Int J Sci Technol Soc. 2015;3(1):28-35. doi: 10.11648/j.ijsts.20150301.14

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@article{10.11648/j.ijsts.20150301.14,
  author = {Gizachew Ayalew},
  title = {A Geographic Information System Based Soil Loss and Sediment Estimation in Zingin Watershed for Conservation Planning, Highlands of Ethiopia},
  journal = {International Journal of Science, Technology and Society},
  volume = {3},
  number = {1},
  pages = {28-35},
  doi = {10.11648/j.ijsts.20150301.14},
  url = {https://doi.org/10.11648/j.ijsts.20150301.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsts.20150301.14},
  abstract = {Zingin watershed is one of the most erosion-prone watersheds in the highlands of Ethiopia which received little attention. This study was, therefore, carried out to spatially predict the soil loss rate of the watershed with a Geographic Information System (GIS) and Remote Sensing (RS). Revised Universal Soil Loss Equation (RUSLE) adapted to Ethiopian conditions was used to estimate potential soil losses by utilizing information on  rainfall erosivity (R) using interpolation of rainfall data, soil erodibility (K) using soil map, vegetation cover (C) using satellite images, topography (LS) using Digital Elevation Model (DEM) and conservation practices (P ) using satellite images. Based on the analysis, the total annual soil loss potential of the study watershed Based on the analysis, the mean and total annual soil loss potential of the study watershed was 9.10 ton tons/yr and 57750.15 t/yr, respectively. About 78.31% (4969.63 ha) of the watershed was categorized none to slight class which under SLT values ranging from 5 to 11 tons ha-1yr-1. The remaining 21.69% (1376.48 ha) of land was classified under moderate to high class about several times the maximum tolerable soil loss (11 tons ha-1 y-1). The study demonstrates that the RUSLE together with GIS provide a good estimate soil loss rate over areas.},
 year = {2015}
}

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TY  - JOUR
T1  - A Geographic Information System Based Soil Loss and Sediment Estimation in Zingin Watershed for Conservation Planning, Highlands of Ethiopia
AU  - Gizachew Ayalew
Y1  - 2015/01/30
PY  - 2015
N1  - https://doi.org/10.11648/j.ijsts.20150301.14
DO  - 10.11648/j.ijsts.20150301.14
T2  - International Journal of Science, Technology and Society
JF  - International Journal of Science, Technology and Society
JO  - International Journal of Science, Technology and Society
SP  - 28
EP  - 35
PB  - Science Publishing Group
SN  - 2330-7420
UR  - https://doi.org/10.11648/j.ijsts.20150301.14
AB  - Zingin watershed is one of the most erosion-prone watersheds in the highlands of Ethiopia which received little attention. This study was, therefore, carried out to spatially predict the soil loss rate of the watershed with a Geographic Information System (GIS) and Remote Sensing (RS). Revised Universal Soil Loss Equation (RUSLE) adapted to Ethiopian conditions was used to estimate potential soil losses by utilizing information on  rainfall erosivity (R) using interpolation of rainfall data, soil erodibility (K) using soil map, vegetation cover (C) using satellite images, topography (LS) using Digital Elevation Model (DEM) and conservation practices (P ) using satellite images. Based on the analysis, the total annual soil loss potential of the study watershed Based on the analysis, the mean and total annual soil loss potential of the study watershed was 9.10 ton tons/yr and 57750.15 t/yr, respectively. About 78.31% (4969.63 ha) of the watershed was categorized none to slight class which under SLT values ranging from 5 to 11 tons ha-1yr-1. The remaining 21.69% (1376.48 ha) of land was classified under moderate to high class about several times the maximum tolerable soil loss (11 tons ha-1 y-1). The study demonstrates that the RUSLE together with GIS provide a good estimate soil loss rate over areas.
VL  - 3
IS  - 1
ER  -

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