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Modeling Sediment Yield-Case Study Guder Watershed, Blue Nile Basin, Central Ethiopia

Received: 9 February 2021    Accepted: 24 March 2021    Published: 23 April 2021
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Abstract

Guder watershed is one of the watershed found in Blue Nile basin, central Ethiopia, mostly eroded area due to the widespread of agricultural land. This study is based on the Soil and Water Assessment Tool (SWAT) model interface of GIS environment to simulate sediment yield of the watershed at outlet. The stream flow was calibrated for ten years (1996-2005) and validated for seven years (2006-2012) at Guder gauging station using SWAT-CUP to check performance of the model. The model performance has been evaluated by using statistical parameters of coefficient of determination (R²) and Nash-Sutcliffe simulation efficiency (NSE) 0.92 and 0.80 respectively for calibration. Model validation results 0.83 and 0.65 for R² and NSE, respectively. Both calibration and validation results indicate that the measured values show good agreement with simulated flow. Sediment yield from each sub watershed were determined and prone soil erosion areas has been identified for management planning.

Published in American Journal of Civil Engineering (Volume 9, Issue 2)
DOI 10.11648/j.ajce.20210902.12
Page(s) 39-46
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

Modeling, Guder Watershed, Sediment Yields, Soil Erosion, SWAT-CUP

References
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[2] Abdi. B. (2014). Simulation of sediment yield using the SWAT model in Fincha watershed, Ethiopia. J. (Nat. Sci) 46, 283-297.
[3] Arnold. J. (2012). Large area of hydrologic Modeling of SWAT and assessment Part 1. Model development. Journal of the American water resource asses Association, 34: 73-89.
[4] Asselman. (2000). Fitting and interpretation of sediment rating curve. Journal of Hydrology, 234, 228-248.
[5] Betrie, G. B., Y. A. Mohammed, A. Van Griensven, and Srinivasan. (2011). Sediment yield modeling in the Blue Nile Basin using the SWAT model. Hydro. Earth science, 15, 807-818.
[6] Dereje. T. (2015). Modeling Sediment yield using ARCSWAT and analyzing the most prominent remedial measures, case of Melka Wakena reservoir. MSc thesis university of Addis Ababa, Ethiopia.
[7] Fasil. (2012). Prediction of Sediment inflow to Gefersa Reservoir (using SWAT Model) and Assessing sediment reduction methods).
[8] Fikadu. F. (2008). Establishing Rainfall-Run off-Sediment-Discharge relationship in the Blue Nile. CP 19 project workshop proceedings, 112-131.
[9] Gassman P. W., Arnold J. G., Srinivasan R. and Reyes M. (2005). The worldwide use of the SWAT model: Technological driver, networking impacts, and simulation trends. Transactions of the ASABE.
[10] Habtamu, (2011). Watershed sediment yield modeling for data-scarce areas. Insitute of wasserbau university stuttgart.
[11] Hurni, H., Solomon, A., Amare, B., Berhanu, D., Ludi, E., Portner, B and Gete, Z. (1990). Land Degradation and asses sustainable land management in the highlands of southren Ethiopia. 123-130. https://www.researchgate.net/publication/265645925/
[12] Lenhart, T., K. Eckhardt, N. Fohrer, and H.-G. Frede. (2002). Comparison of two different approaches of sensitivity analysis. Physics and Chemistry of the Earth, 27: 645–654.
[13] Priestly, C., and Taylor, R. (1972). On the Assessment of Surface Heat Flux and Evaporation Using Larg- scale Parameters. Division of Atmospheric Physics, Commonwealth Scientific and Industrial Research Organization, Aspendale, Victoria, Australia. 1972.
[14] Santhi, C., R. Srinivasan, J. G. Arnold, and J. R. Williams. (2005). A modeling approach to evaluate the impacts of water quality management plans implemented in a watershed in Texas. Environmental Modeling & Software, 21, 1141-1157.
[15] Sileshi, B. (2001). Investigation of water resources aimed at multi-objective development with respect to limited data situation: The case of Abbaya-Chamo Basin, Ethiopia. Thesis, Ph. D. Technical University of Dresden, Germany.
[16] Tamene, L., Park, S., Dikau, R., and Vlek, P. (2005). Analysis of factors affecting sediment yield variability in the highlands of Northern Ethiopia. Geomorphology, 76, 76-91.
[17] USDA SCS. (1972). National Engineering Handbook: part I and II Engineering Hydrology Washington, DC.
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  • APA Style

    Gonfa Erena, Dereje Adeba. (2021). Modeling Sediment Yield-Case Study Guder Watershed, Blue Nile Basin, Central Ethiopia. American Journal of Civil Engineering, 9(2), 39-46. https://doi.org/10.11648/j.ajce.20210902.12

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    ACS Style

    Gonfa Erena; Dereje Adeba. Modeling Sediment Yield-Case Study Guder Watershed, Blue Nile Basin, Central Ethiopia. Am. J. Civ. Eng. 2021, 9(2), 39-46. doi: 10.11648/j.ajce.20210902.12

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    AMA Style

    Gonfa Erena, Dereje Adeba. Modeling Sediment Yield-Case Study Guder Watershed, Blue Nile Basin, Central Ethiopia. Am J Civ Eng. 2021;9(2):39-46. doi: 10.11648/j.ajce.20210902.12

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  • @article{10.11648/j.ajce.20210902.12,
      author = {Gonfa Erena and Dereje Adeba},
      title = {Modeling Sediment Yield-Case Study Guder Watershed, Blue Nile Basin, Central Ethiopia},
      journal = {American Journal of Civil Engineering},
      volume = {9},
      number = {2},
      pages = {39-46},
      doi = {10.11648/j.ajce.20210902.12},
      url = {https://doi.org/10.11648/j.ajce.20210902.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajce.20210902.12},
      abstract = {Guder watershed is one of the watershed found in Blue Nile basin, central Ethiopia, mostly eroded area due to the widespread of agricultural land. This study is based on the Soil and Water Assessment Tool (SWAT) model interface of GIS environment to simulate sediment yield of the watershed at outlet. The stream flow was calibrated for ten years (1996-2005) and validated for seven years (2006-2012) at Guder gauging station using SWAT-CUP to check performance of the model. The model performance has been evaluated by using statistical parameters of coefficient of determination (R²) and Nash-Sutcliffe simulation efficiency (NSE) 0.92 and 0.80 respectively for calibration. Model validation results 0.83 and 0.65 for R² and NSE, respectively. Both calibration and validation results indicate that the measured values show good agreement with simulated flow. Sediment yield from each sub watershed were determined and prone soil erosion areas has been identified for management planning.},
     year = {2021}
    }
    

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    T1  - Modeling Sediment Yield-Case Study Guder Watershed, Blue Nile Basin, Central Ethiopia
    AU  - Gonfa Erena
    AU  - Dereje Adeba
    Y1  - 2021/04/23
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    N1  - https://doi.org/10.11648/j.ajce.20210902.12
    DO  - 10.11648/j.ajce.20210902.12
    T2  - American Journal of Civil Engineering
    JF  - American Journal of Civil Engineering
    JO  - American Journal of Civil Engineering
    SP  - 39
    EP  - 46
    PB  - Science Publishing Group
    SN  - 2330-8737
    UR  - https://doi.org/10.11648/j.ajce.20210902.12
    AB  - Guder watershed is one of the watershed found in Blue Nile basin, central Ethiopia, mostly eroded area due to the widespread of agricultural land. This study is based on the Soil and Water Assessment Tool (SWAT) model interface of GIS environment to simulate sediment yield of the watershed at outlet. The stream flow was calibrated for ten years (1996-2005) and validated for seven years (2006-2012) at Guder gauging station using SWAT-CUP to check performance of the model. The model performance has been evaluated by using statistical parameters of coefficient of determination (R²) and Nash-Sutcliffe simulation efficiency (NSE) 0.92 and 0.80 respectively for calibration. Model validation results 0.83 and 0.65 for R² and NSE, respectively. Both calibration and validation results indicate that the measured values show good agreement with simulated flow. Sediment yield from each sub watershed were determined and prone soil erosion areas has been identified for management planning.
    VL  - 9
    IS  - 2
    ER  - 

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Author Information
  • Wollega Institute of Technology, Wollega University, Oromia, Ethiopia

  • Wollega Institute of Technology, Wollega University, Oromia, Ethiopia

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