Estimation of Runoff and Sediment Yield Using SWAT Model: The Case of Katar Watershed, Rift Valley Lake Basin of Ethiopia

Dulo Husen; Brook Abate

doi:doi:10.11648/j.ijmea.20200806.11

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Estimation of Runoff and Sediment Yield Using SWAT Model: The Case of Katar Watershed, Rift Valley Lake Basin of Ethiopia

Dulo Husen, Brook Abate

Published in International Journal of Mechanical Engineering and Applications (Volume 8, Issue 6)

Received: 16 September 2020 Accepted: 28 September 2020 Published: 19 November 2020

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Abstract

Estimating runoff and sediment yield at watershed level is important for better understanding of hydrologic processes and identifying hotspot area by using Soil and Water Assessment Tool (SWAT) model for intervention strategies. From the result of Global sensitivity analysis, 12 highly sensitive parameters identified. The obtained results were satisfactory for the gauging station (coefficient of determination (R²)=0.8, Nash-Sutcliffe Efficiency (NSE)=0.6 and percent difference or percent bias (PBIAS)=0) from 1990 to 2005(16) years used calibration and (R²=0.6, ENS=0.55and PBIAS=1.2) from 2006 to 2013(8 year) were used for validation period respectively. Among all sub-watersheds, nine sub watersheds were more vulnerable to soil loss and potentially prone to erosion risk, which was out of range of tolerable soil loss rate (18 tha^-1yr^-1). In conclusion, the SWAT model could be effectively used to estimate runoff and sediment yield; and identified hotspot area. In addition, the result could help different stakeholders to plan and implement appropriate interventions strategies in the Katar watershed.

Published in	International Journal of Mechanical Engineering and Applications (Volume 8, Issue 6)
DOI	10.11648/j.ijmea.20200806.11
Page(s)	125-134
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), 2020. Published by Science Publishing Group

Keywords

Runoff, Sediment Yield, SWAT, Calibration and Validation

References

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APA Style

Dulo Husen, Brook Abate. (2020). Estimation of Runoff and Sediment Yield Using SWAT Model: The Case of Katar Watershed, Rift Valley Lake Basin of Ethiopia. International Journal of Mechanical Engineering and Applications, 8(6), 125-134. https://doi.org/10.11648/j.ijmea.20200806.11

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ACS Style

Dulo Husen; Brook Abate. Estimation of Runoff and Sediment Yield Using SWAT Model: The Case of Katar Watershed, Rift Valley Lake Basin of Ethiopia. Int. J. Mech. Eng. Appl. 2020, 8(6), 125-134. doi: 10.11648/j.ijmea.20200806.11

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AMA Style

Dulo Husen, Brook Abate. Estimation of Runoff and Sediment Yield Using SWAT Model: The Case of Katar Watershed, Rift Valley Lake Basin of Ethiopia. Int J Mech Eng Appl. 2020;8(6):125-134. doi: 10.11648/j.ijmea.20200806.11

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@article{10.11648/j.ijmea.20200806.11,
  author = {Dulo Husen and Brook Abate},
  title = {Estimation of Runoff and Sediment Yield Using SWAT Model: The Case of Katar Watershed, Rift Valley Lake Basin of Ethiopia},
  journal = {International Journal of Mechanical Engineering and Applications},
  volume = {8},
  number = {6},
  pages = {125-134},
  doi = {10.11648/j.ijmea.20200806.11},
  url = {https://doi.org/10.11648/j.ijmea.20200806.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijmea.20200806.11},
  abstract = {Estimating runoff and sediment yield at watershed level is important for better understanding of hydrologic processes and identifying hotspot area by using Soil and Water Assessment Tool (SWAT) model for intervention strategies. From the result of Global sensitivity analysis, 12 highly sensitive parameters identified. The obtained results were satisfactory for the gauging station (coefficient of determination (R2)=0.8, Nash-Sutcliffe Efficiency (NSE)=0.6 and percent difference or percent bias (PBIAS)=0) from 1990 to 2005(16) years used calibration and (R2=0.6, ENS=0.55and PBIAS=1.2) from 2006 to 2013(8 year) were used for validation period respectively. Among all sub-watersheds, nine sub watersheds were more vulnerable to soil loss and potentially prone to erosion risk, which was out of range of tolerable soil loss rate (18 tha-1yr-1). In conclusion, the SWAT model could be effectively used to estimate runoff and sediment yield; and identified hotspot area. In addition, the result could help different stakeholders to plan and implement appropriate interventions strategies in the Katar watershed.},
 year = {2020}
}

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TY  - JOUR
T1  - Estimation of Runoff and Sediment Yield Using SWAT Model: The Case of Katar Watershed, Rift Valley Lake Basin of Ethiopia
AU  - Dulo Husen
AU  - Brook Abate
Y1  - 2020/11/19
PY  - 2020
N1  - https://doi.org/10.11648/j.ijmea.20200806.11
DO  - 10.11648/j.ijmea.20200806.11
T2  - International Journal of Mechanical Engineering and Applications
JF  - International Journal of Mechanical Engineering and Applications
JO  - International Journal of Mechanical Engineering and Applications
SP  - 125
EP  - 134
PB  - Science Publishing Group
SN  - 2330-0248
UR  - https://doi.org/10.11648/j.ijmea.20200806.11
AB  - Estimating runoff and sediment yield at watershed level is important for better understanding of hydrologic processes and identifying hotspot area by using Soil and Water Assessment Tool (SWAT) model for intervention strategies. From the result of Global sensitivity analysis, 12 highly sensitive parameters identified. The obtained results were satisfactory for the gauging station (coefficient of determination (R2)=0.8, Nash-Sutcliffe Efficiency (NSE)=0.6 and percent difference or percent bias (PBIAS)=0) from 1990 to 2005(16) years used calibration and (R2=0.6, ENS=0.55and PBIAS=1.2) from 2006 to 2013(8 year) were used for validation period respectively. Among all sub-watersheds, nine sub watersheds were more vulnerable to soil loss and potentially prone to erosion risk, which was out of range of tolerable soil loss rate (18 tha-1yr-1). In conclusion, the SWAT model could be effectively used to estimate runoff and sediment yield; and identified hotspot area. In addition, the result could help different stakeholders to plan and implement appropriate interventions strategies in the Katar watershed.
VL  - 8
IS  - 6
ER  -

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Author Information

Dulo Husen

Oromia Agricultural Research Institute, Adami Tulu Agricultural Research Center, Adami Tulu, Ethiopia
Brook Abate

College of Architecture and Civil Engineering, Addis Ababa Science and Technology University (ASTU), Addis Ababa, Ethiopia

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Plain Text BibTeX RIS

APA Style

Dulo Husen, Brook Abate. (2020). Estimation of Runoff and Sediment Yield Using SWAT Model: The Case of Katar Watershed, Rift Valley Lake Basin of Ethiopia. International Journal of Mechanical Engineering and Applications, 8(6), 125-134. https://doi.org/10.11648/j.ijmea.20200806.11

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ACS Style

Dulo Husen; Brook Abate. Estimation of Runoff and Sediment Yield Using SWAT Model: The Case of Katar Watershed, Rift Valley Lake Basin of Ethiopia. Int. J. Mech. Eng. Appl. 2020, 8(6), 125-134. doi: 10.11648/j.ijmea.20200806.11

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AMA Style

Dulo Husen, Brook Abate. Estimation of Runoff and Sediment Yield Using SWAT Model: The Case of Katar Watershed, Rift Valley Lake Basin of Ethiopia. Int J Mech Eng Appl. 2020;8(6):125-134. doi: 10.11648/j.ijmea.20200806.11

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@article{10.11648/j.ijmea.20200806.11,
  author = {Dulo Husen and Brook Abate},
  title = {Estimation of Runoff and Sediment Yield Using SWAT Model: The Case of Katar Watershed, Rift Valley Lake Basin of Ethiopia},
  journal = {International Journal of Mechanical Engineering and Applications},
  volume = {8},
  number = {6},
  pages = {125-134},
  doi = {10.11648/j.ijmea.20200806.11},
  url = {https://doi.org/10.11648/j.ijmea.20200806.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijmea.20200806.11},
  abstract = {Estimating runoff and sediment yield at watershed level is important for better understanding of hydrologic processes and identifying hotspot area by using Soil and Water Assessment Tool (SWAT) model for intervention strategies. From the result of Global sensitivity analysis, 12 highly sensitive parameters identified. The obtained results were satisfactory for the gauging station (coefficient of determination (R2)=0.8, Nash-Sutcliffe Efficiency (NSE)=0.6 and percent difference or percent bias (PBIAS)=0) from 1990 to 2005(16) years used calibration and (R2=0.6, ENS=0.55and PBIAS=1.2) from 2006 to 2013(8 year) were used for validation period respectively. Among all sub-watersheds, nine sub watersheds were more vulnerable to soil loss and potentially prone to erosion risk, which was out of range of tolerable soil loss rate (18 tha-1yr-1). In conclusion, the SWAT model could be effectively used to estimate runoff and sediment yield; and identified hotspot area. In addition, the result could help different stakeholders to plan and implement appropriate interventions strategies in the Katar watershed.},
 year = {2020}
}

Copy | Download

TY  - JOUR
T1  - Estimation of Runoff and Sediment Yield Using SWAT Model: The Case of Katar Watershed, Rift Valley Lake Basin of Ethiopia
AU  - Dulo Husen
AU  - Brook Abate
Y1  - 2020/11/19
PY  - 2020
N1  - https://doi.org/10.11648/j.ijmea.20200806.11
DO  - 10.11648/j.ijmea.20200806.11
T2  - International Journal of Mechanical Engineering and Applications
JF  - International Journal of Mechanical Engineering and Applications
JO  - International Journal of Mechanical Engineering and Applications
SP  - 125
EP  - 134
PB  - Science Publishing Group
SN  - 2330-0248
UR  - https://doi.org/10.11648/j.ijmea.20200806.11
AB  - Estimating runoff and sediment yield at watershed level is important for better understanding of hydrologic processes and identifying hotspot area by using Soil and Water Assessment Tool (SWAT) model for intervention strategies. From the result of Global sensitivity analysis, 12 highly sensitive parameters identified. The obtained results were satisfactory for the gauging station (coefficient of determination (R2)=0.8, Nash-Sutcliffe Efficiency (NSE)=0.6 and percent difference or percent bias (PBIAS)=0) from 1990 to 2005(16) years used calibration and (R2=0.6, ENS=0.55and PBIAS=1.2) from 2006 to 2013(8 year) were used for validation period respectively. Among all sub-watersheds, nine sub watersheds were more vulnerable to soil loss and potentially prone to erosion risk, which was out of range of tolerable soil loss rate (18 tha-1yr-1). In conclusion, the SWAT model could be effectively used to estimate runoff and sediment yield; and identified hotspot area. In addition, the result could help different stakeholders to plan and implement appropriate interventions strategies in the Katar watershed.
VL  - 8
IS  - 6
ER  -

Copy | Download