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Modelling Surface Water Potential of Somodo Watershed Using SWAT Model

Published in Hydrology (Volume 9, Issue 4)
Received: 30 August 2021    Accepted: 26 September 2021    Published: 15 October 2021
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Abstract

Despite increased worldwide water demand, freshwater availability is decreasing as a result of population expansion, industrialization, land use, and climate change. As a result, in order to provide strategic information for long-term water security planning, it is required to quantify the water resources potential. The objective of this study was to determine the surface water potential of the Somodo watershed. GPS, GIS, Arc SWAT, and SWAT-CUP software were all utilized to collect data. Secondary data, such as DEM, land use/land cover maps, soil maps, stream flow, and meteorological data, were collected from appropriate institutions. We investigated the model's sensitivity, calibration, and validation. According to the findings, surface runoff and base flow were the most sensitive parameters of stream flow in the Somodo watershed. The statistical results for model performance revealed a very good agreement (R2 of 0.795 and NSE of 0.68) between the simulated and observed flow for calibration, and a very good agreement (R2 of 0.821 and NSE of 0.7) between the observed and simulated stream flow for validation. The catchment, with a total watershed area of 19860 hectares, generated 56.75 million cubic meter (MCM) surface runoff per year, according to the model. The watershed's surface water potential of 56.75 MCM is sufficient to meet a variety of water demands.

Published in Hydrology (Volume 9, Issue 4)
DOI 10.11648/j.hyd.20210904.11
Page(s) 74-78
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), 2021. Published by Science Publishing Group

Keywords

Arc SWAT, Model, Somodo, Water Balance, Water Potential

References
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[6] Dams, J., Dujardin, J., Reggers, R., Bashir, I., Canters, F. and Batelaan, O., 2013. Mapping impervious surface change from remote sensing for hydrological modeling. Journal of Hydrology, 485, pp. 84-95.
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  • APA Style

    Etefa Tilahun Ashine. (2021). Modelling Surface Water Potential of Somodo Watershed Using SWAT Model. Hydrology, 9(4), 74-78. https://doi.org/10.11648/j.hyd.20210904.11

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    ACS Style

    Etefa Tilahun Ashine. Modelling Surface Water Potential of Somodo Watershed Using SWAT Model. Hydrology. 2021, 9(4), 74-78. doi: 10.11648/j.hyd.20210904.11

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    AMA Style

    Etefa Tilahun Ashine. Modelling Surface Water Potential of Somodo Watershed Using SWAT Model. Hydrology. 2021;9(4):74-78. doi: 10.11648/j.hyd.20210904.11

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  • @article{10.11648/j.hyd.20210904.11,
      author = {Etefa Tilahun Ashine},
      title = {Modelling Surface Water Potential of Somodo Watershed Using SWAT Model},
      journal = {Hydrology},
      volume = {9},
      number = {4},
      pages = {74-78},
      doi = {10.11648/j.hyd.20210904.11},
      url = {https://doi.org/10.11648/j.hyd.20210904.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.hyd.20210904.11},
      abstract = {Despite increased worldwide water demand, freshwater availability is decreasing as a result of population expansion, industrialization, land use, and climate change. As a result, in order to provide strategic information for long-term water security planning, it is required to quantify the water resources potential. The objective of this study was to determine the surface water potential of the Somodo watershed. GPS, GIS, Arc SWAT, and SWAT-CUP software were all utilized to collect data. Secondary data, such as DEM, land use/land cover maps, soil maps, stream flow, and meteorological data, were collected from appropriate institutions. We investigated the model's sensitivity, calibration, and validation. According to the findings, surface runoff and base flow were the most sensitive parameters of stream flow in the Somodo watershed. The statistical results for model performance revealed a very good agreement (R2 of 0.795 and NSE of 0.68) between the simulated and observed flow for calibration, and a very good agreement (R2 of 0.821 and NSE of 0.7) between the observed and simulated stream flow for validation. The catchment, with a total watershed area of 19860 hectares, generated 56.75 million cubic meter (MCM) surface runoff per year, according to the model. The watershed's surface water potential of 56.75 MCM is sufficient to meet a variety of water demands.},
     year = {2021}
    }
    

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  • TY  - JOUR
    T1  - Modelling Surface Water Potential of Somodo Watershed Using SWAT Model
    AU  - Etefa Tilahun Ashine
    Y1  - 2021/10/15
    PY  - 2021
    N1  - https://doi.org/10.11648/j.hyd.20210904.11
    DO  - 10.11648/j.hyd.20210904.11
    T2  - Hydrology
    JF  - Hydrology
    JO  - Hydrology
    SP  - 74
    EP  - 78
    PB  - Science Publishing Group
    SN  - 2330-7617
    UR  - https://doi.org/10.11648/j.hyd.20210904.11
    AB  - Despite increased worldwide water demand, freshwater availability is decreasing as a result of population expansion, industrialization, land use, and climate change. As a result, in order to provide strategic information for long-term water security planning, it is required to quantify the water resources potential. The objective of this study was to determine the surface water potential of the Somodo watershed. GPS, GIS, Arc SWAT, and SWAT-CUP software were all utilized to collect data. Secondary data, such as DEM, land use/land cover maps, soil maps, stream flow, and meteorological data, were collected from appropriate institutions. We investigated the model's sensitivity, calibration, and validation. According to the findings, surface runoff and base flow were the most sensitive parameters of stream flow in the Somodo watershed. The statistical results for model performance revealed a very good agreement (R2 of 0.795 and NSE of 0.68) between the simulated and observed flow for calibration, and a very good agreement (R2 of 0.821 and NSE of 0.7) between the observed and simulated stream flow for validation. The catchment, with a total watershed area of 19860 hectares, generated 56.75 million cubic meter (MCM) surface runoff per year, according to the model. The watershed's surface water potential of 56.75 MCM is sufficient to meet a variety of water demands.
    VL  - 9
    IS  - 4
    ER  - 

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Author Information
  • Ethiopian Institute of Agricultural Research, Jimma Agricultural Research Center, Jimma, Ethiopia

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