Assessing Groundwater Potential Zones and Their Implications for Landslides in the Upper Wabe‐Shebele River Basin of Southeastern Ethiopia.
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| Title: | Assessing Groundwater Potential Zones and Their Implications for Landslides in the Upper Wabe‐Shebele River Basin of Southeastern Ethiopia. |
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| Authors: | Beshir, Siraj1 (AUTHOR) sirajnrm@gmail.com, Moges, Awdenegest2 (AUTHOR), Dananto, Mihret2 (AUTHOR), Zhou, Yuanxin (AUTHOR) |
| Source: | Journal of Engineering (2314-4912). 6/14/2024, Vol. 2024, p1-25. 25p. |
| Subjects: | Groundwater management, Land resource, Land use, Land cover, Soil texture, Landslides |
| Abstract: | Groundwater is an essential resource, and its long‐term availability and usability are closely tied to its ability to recharge. Therefore, the objective of this study was to generate a geospatial map of groundwater potential and its implications for landslides in the Upper Wabe‐Shebele River Basin. To achieve this, an integrated approach was employed, combining GIS‐based MCDM under AHP. The study considered rainfall patterns, land use and land cover, lineaments and drainage density, soil texture, lithology, slope, proximity to roads, and static water level. These influential factors were identified through a combination of desk reviews, expert knowledge, and experience in the field of groundwater potential mapping. Then, a pairwise comparison matrix was formed to assign weights to each factor and their subparameters based on their relative importance to groundwater potential. The final groundwater potential map was generated using the weighted overlay analysis tool in ArcGIS 10.7. By analyzing the groundwater potential map and the incorporated factors, a comprehensive understanding of groundwater resources and their implications for landslide occurrences in the study area was interrelated. The AHP analysis displayed an acceptable positive principal eigenvalue (9.401) and a consistency ratio of 0.035 < 0.1. Groundwater potential zones occupying 1314.73 km2 (12.81%), 4463.06 km2 (43.5%), 3236.23 km2 (31.54%), 283.31 km2 (2.76%), and 961.93 km2 (9.38%) were identified as very good, moderate, poor, and very poor groundwater potential zones, respectively. The accuracy of the groundwater potential map was evaluated by overlaying it with existing borehole data. This comparison revealed a high degree of agreement, with approximately 80% of the data points consistent with the maps. In addition, a positive correlation between the groundwater potential zones and the occurrence of landslides was observed. Based on these findings, sustainable land resource utilization is suggested as an approach to enhance groundwater management and mitigate landslide risks. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Engineering (2314-4912) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 179674226 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Assessing Groundwater Potential Zones and Their Implications for Landslides in the Upper Wabe‐Shebele River Basin of Southeastern Ethiopia. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Beshir%2C+Siraj%22">Beshir, Siraj</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> sirajnrm@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Moges%2C+Awdenegest%22">Moges, Awdenegest</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dananto%2C+Mihret%22">Dananto, Mihret</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhou%2C+Yuanxin%22">Zhou, Yuanxin</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Engineering+%282314-4912%29%22">Journal of Engineering (2314-4912)</searchLink>. 6/14/2024, Vol. 2024, p1-25. 25p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Groundwater+management%22">Groundwater management</searchLink><br /><searchLink fieldCode="DE" term="%22Land+resource%22">Land resource</searchLink><br /><searchLink fieldCode="DE" term="%22Land+use%22">Land use</searchLink><br /><searchLink fieldCode="DE" term="%22Land+cover%22">Land cover</searchLink><br /><searchLink fieldCode="DE" term="%22Soil+texture%22">Soil texture</searchLink><br /><searchLink fieldCode="DE" term="%22Landslides%22">Landslides</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Groundwater is an essential resource, and its long‐term availability and usability are closely tied to its ability to recharge. Therefore, the objective of this study was to generate a geospatial map of groundwater potential and its implications for landslides in the Upper Wabe‐Shebele River Basin. To achieve this, an integrated approach was employed, combining GIS‐based MCDM under AHP. The study considered rainfall patterns, land use and land cover, lineaments and drainage density, soil texture, lithology, slope, proximity to roads, and static water level. These influential factors were identified through a combination of desk reviews, expert knowledge, and experience in the field of groundwater potential mapping. Then, a pairwise comparison matrix was formed to assign weights to each factor and their subparameters based on their relative importance to groundwater potential. The final groundwater potential map was generated using the weighted overlay analysis tool in ArcGIS 10.7. By analyzing the groundwater potential map and the incorporated factors, a comprehensive understanding of groundwater resources and their implications for landslide occurrences in the study area was interrelated. The AHP analysis displayed an acceptable positive principal eigenvalue (9.401) and a consistency ratio of 0.035 < 0.1. Groundwater potential zones occupying 1314.73 km2 (12.81%), 4463.06 km2 (43.5%), 3236.23 km2 (31.54%), 283.31 km2 (2.76%), and 961.93 km2 (9.38%) were identified as very good, moderate, poor, and very poor groundwater potential zones, respectively. The accuracy of the groundwater potential map was evaluated by overlaying it with existing borehole data. This comparison revealed a high degree of agreement, with approximately 80% of the data points consistent with the maps. In addition, a positive correlation between the groundwater potential zones and the occurrence of landslides was observed. Based on these findings, sustainable land resource utilization is suggested as an approach to enhance groundwater management and mitigate landslide risks. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Engineering (2314-4912) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1155/2024/7044576 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 25 StartPage: 1 Subjects: – SubjectFull: Groundwater management Type: general – SubjectFull: Land resource Type: general – SubjectFull: Land use Type: general – SubjectFull: Land cover Type: general – SubjectFull: Soil texture Type: general – SubjectFull: Landslides Type: general Titles: – TitleFull: Assessing Groundwater Potential Zones and Their Implications for Landslides in the Upper Wabe‐Shebele River Basin of Southeastern Ethiopia. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Beshir, Siraj – PersonEntity: Name: NameFull: Moges, Awdenegest – PersonEntity: Name: NameFull: Dananto, Mihret – PersonEntity: Name: NameFull: Zhou, Yuanxin IsPartOfRelationships: – BibEntity: Dates: – D: 14 M: 06 Text: 6/14/2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 23144904 Numbering: – Type: volume Value: 2024 Titles: – TitleFull: Journal of Engineering (2314-4912) Type: main |
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