Journal of Water Resources and Ocean Science

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Evaluation of Land Suitability for Irrigation Development and Sustainable Land Management Using ArcGIS on Katar Watershed in Rift Valley Basin, Ethiopia

Received: 23 March 2020    Accepted: 17 April 2020    Published: 19 August 2020
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Abstract

Evaluating land suitability from the available land and water resources potential for irrigation development is very important for planning sustainable use of limited land and water resources. The critical objective of this study was to evaluate the suitable land resource potential for irrigation development for the Katar River watershed in the Rift Valley Basin in Ethiopia by using ArcGIS based on Multi-Criteria Evaluation (MCE) techniques. The steps undertaken were watershed delineation, characterizing the watershed by suitability parameters such as slope, soil texture, soil depth, drainage classes, proximity to river and urban, and land use land cover. And then, re-classification and mapping according to suitability classification, identification of irrigable land, and estimation of surface water potential and irrigation water requirements were followed. After reclassified, the suitability analyses of the each parameter were classified based on suitability classes for irrigation development. The weighting analysis of all parameters resulted that 34.08% was classified as high suitable (S1), 58.08% moderately suitable (S2), 3.8% marginally suitable (S3), whereas 3.21% not suitable (N) for surface irrigation development. Finally, comparing the required gross irrigation water requirement and available monthly flow of the River, the River has the capacity for the fulfilling irrigation water demand to irrigate command area of the watershed during dry season.

DOI 10.11648/j.wros.20200903.11
Published in Journal of Water Resources and Ocean Science (Volume 9, Issue 3, June 2020)
Page(s) 56-63
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

Land Suitability, Irrigation Potential, Slope Suitability, Water Availability, ArcGIS, Katar Watershed

References
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Author Information
  • Department of Water Resource and Irrigation Engineering, School of Water Resource and Environmental Engineering, Haramaya Institute of Technology, Haramaya University, Harar, Ethiopia

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  • APA Style

    Megersa Adugna Gurara. (2020). Evaluation of Land Suitability for Irrigation Development and Sustainable Land Management Using ArcGIS on Katar Watershed in Rift Valley Basin, Ethiopia. Journal of Water Resources and Ocean Science, 9(3), 56-63. https://doi.org/10.11648/j.wros.20200903.11

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    ACS Style

    Megersa Adugna Gurara. Evaluation of Land Suitability for Irrigation Development and Sustainable Land Management Using ArcGIS on Katar Watershed in Rift Valley Basin, Ethiopia. J. Water Resour. Ocean Sci. 2020, 9(3), 56-63. doi: 10.11648/j.wros.20200903.11

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    AMA Style

    Megersa Adugna Gurara. Evaluation of Land Suitability for Irrigation Development and Sustainable Land Management Using ArcGIS on Katar Watershed in Rift Valley Basin, Ethiopia. J Water Resour Ocean Sci. 2020;9(3):56-63. doi: 10.11648/j.wros.20200903.11

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  • @article{10.11648/j.wros.20200903.11,
      author = {Megersa Adugna Gurara},
      title = {Evaluation of Land Suitability for Irrigation Development and Sustainable Land Management Using ArcGIS on Katar Watershed in Rift Valley Basin, Ethiopia},
      journal = {Journal of Water Resources and Ocean Science},
      volume = {9},
      number = {3},
      pages = {56-63},
      doi = {10.11648/j.wros.20200903.11},
      url = {https://doi.org/10.11648/j.wros.20200903.11},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.wros.20200903.11},
      abstract = {Evaluating land suitability from the available land and water resources potential for irrigation development is very important for planning sustainable use of limited land and water resources. The critical objective of this study was to evaluate the suitable land resource potential for irrigation development for the Katar River watershed in the Rift Valley Basin in Ethiopia by using ArcGIS based on Multi-Criteria Evaluation (MCE) techniques. The steps undertaken were watershed delineation, characterizing the watershed by suitability parameters such as slope, soil texture, soil depth, drainage classes, proximity to river and urban, and land use land cover. And then, re-classification and mapping according to suitability classification, identification of irrigable land, and estimation of surface water potential and irrigation water requirements were followed. After reclassified, the suitability analyses of the each parameter were classified based on suitability classes for irrigation development. The weighting analysis of all parameters resulted that 34.08% was classified as high suitable (S1), 58.08% moderately suitable (S2), 3.8% marginally suitable (S3), whereas 3.21% not suitable (N) for surface irrigation development. Finally, comparing the required gross irrigation water requirement and available monthly flow of the River, the River has the capacity for the fulfilling irrigation water demand to irrigate command area of the watershed during dry season.},
     year = {2020}
    }
    

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    AU  - Megersa Adugna Gurara
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    AB  - Evaluating land suitability from the available land and water resources potential for irrigation development is very important for planning sustainable use of limited land and water resources. The critical objective of this study was to evaluate the suitable land resource potential for irrigation development for the Katar River watershed in the Rift Valley Basin in Ethiopia by using ArcGIS based on Multi-Criteria Evaluation (MCE) techniques. The steps undertaken were watershed delineation, characterizing the watershed by suitability parameters such as slope, soil texture, soil depth, drainage classes, proximity to river and urban, and land use land cover. And then, re-classification and mapping according to suitability classification, identification of irrigable land, and estimation of surface water potential and irrigation water requirements were followed. After reclassified, the suitability analyses of the each parameter were classified based on suitability classes for irrigation development. The weighting analysis of all parameters resulted that 34.08% was classified as high suitable (S1), 58.08% moderately suitable (S2), 3.8% marginally suitable (S3), whereas 3.21% not suitable (N) for surface irrigation development. Finally, comparing the required gross irrigation water requirement and available monthly flow of the River, the River has the capacity for the fulfilling irrigation water demand to irrigate command area of the watershed during dry season.
    VL  - 9
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