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Modeling of land suitability for surface irrigation using analytical hierarchy process method in Belessa Districts, northwestern Ethiopia
The objective of this paper was to determine whether the land in Belessa is suitable for surface irrigation. For this, a GIS-based Analytical hierarchy process method was applied. Eight factors/parameters such as soil type, soil depth, soil texture, soil drainage, slope, distance from a water supply...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Elsevier
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10008986/ https://www.ncbi.nlm.nih.gov/pubmed/36923863 http://dx.doi.org/10.1016/j.heliyon.2023.e13937 |
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author | Wubalem, Azemeraw |
author_facet | Wubalem, Azemeraw |
author_sort | Wubalem, Azemeraw |
collection | PubMed |
description | The objective of this paper was to determine whether the land in Belessa is suitable for surface irrigation. For this, a GIS-based Analytical hierarchy process method was applied. Eight factors/parameters such as soil type, soil depth, soil texture, soil drainage, slope, distance from a water supply, and land cover were used to evaluate the suitability of the area for surface irrigation. The weight of each parameter was calculated using an 8 × 8 pairwise comparison matrix. Then, the land suitability map for surface irrigation was produced by adding weighted parameters using the weighted overlay method under ArcGIS 10.3 software. The land suitability map was divided into four categories: highly suitable (S(1)), moderately suitable (S(2)), marginally suitable (S(3)), and unsuitable (S(4) or N(1)). The results show that 12.2% of the study area is not suitable (S4 or N1) for surface irrigation, whereas 13.9% of the study area is highly suitable (S1) for surface irrigation. Marginally (S(3)) and moderately suitable (S(2)) classes covered 26.9%, and 46.9% of the study area, respectively. The accuracy of the model was evaluated by overlaying preexisted irrigation scheme in the study area, which falls under highly and moderately suitable area, confirms that the model is accurate. Therefore, this result will be important to increase crop production in the study area, by implement surface irrigation in highly and moderately suitable lands. |
format | Online Article Text |
id | pubmed-10008986 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-100089862023-03-14 Modeling of land suitability for surface irrigation using analytical hierarchy process method in Belessa Districts, northwestern Ethiopia Wubalem, Azemeraw Heliyon Research Article The objective of this paper was to determine whether the land in Belessa is suitable for surface irrigation. For this, a GIS-based Analytical hierarchy process method was applied. Eight factors/parameters such as soil type, soil depth, soil texture, soil drainage, slope, distance from a water supply, and land cover were used to evaluate the suitability of the area for surface irrigation. The weight of each parameter was calculated using an 8 × 8 pairwise comparison matrix. Then, the land suitability map for surface irrigation was produced by adding weighted parameters using the weighted overlay method under ArcGIS 10.3 software. The land suitability map was divided into four categories: highly suitable (S(1)), moderately suitable (S(2)), marginally suitable (S(3)), and unsuitable (S(4) or N(1)). The results show that 12.2% of the study area is not suitable (S4 or N1) for surface irrigation, whereas 13.9% of the study area is highly suitable (S1) for surface irrigation. Marginally (S(3)) and moderately suitable (S(2)) classes covered 26.9%, and 46.9% of the study area, respectively. The accuracy of the model was evaluated by overlaying preexisted irrigation scheme in the study area, which falls under highly and moderately suitable area, confirms that the model is accurate. Therefore, this result will be important to increase crop production in the study area, by implement surface irrigation in highly and moderately suitable lands. Elsevier 2023-02-28 /pmc/articles/PMC10008986/ /pubmed/36923863 http://dx.doi.org/10.1016/j.heliyon.2023.e13937 Text en © 2023 The Author https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Research Article Wubalem, Azemeraw Modeling of land suitability for surface irrigation using analytical hierarchy process method in Belessa Districts, northwestern Ethiopia |
title | Modeling of land suitability for surface irrigation using analytical hierarchy process method in Belessa Districts, northwestern Ethiopia |
title_full | Modeling of land suitability for surface irrigation using analytical hierarchy process method in Belessa Districts, northwestern Ethiopia |
title_fullStr | Modeling of land suitability for surface irrigation using analytical hierarchy process method in Belessa Districts, northwestern Ethiopia |
title_full_unstemmed | Modeling of land suitability for surface irrigation using analytical hierarchy process method in Belessa Districts, northwestern Ethiopia |
title_short | Modeling of land suitability for surface irrigation using analytical hierarchy process method in Belessa Districts, northwestern Ethiopia |
title_sort | modeling of land suitability for surface irrigation using analytical hierarchy process method in belessa districts, northwestern ethiopia |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10008986/ https://www.ncbi.nlm.nih.gov/pubmed/36923863 http://dx.doi.org/10.1016/j.heliyon.2023.e13937 |
work_keys_str_mv | AT wubalemazemeraw modelingoflandsuitabilityforsurfaceirrigationusinganalyticalhierarchyprocessmethodinbelessadistrictsnorthwesternethiopia |