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Groundwater Potential Mapping Using SWAT and GIS-Based Multi-Criteria Decision Analysis
https://orcid.org/http://orcid.org/0000-0002-0593-5409
https://orcid.org/http://orcid.org/0000-0001-9775-9475
https://orcid.org/http://orcid.org/0000-0003-0163-7305
In several parts of the world, groundwater potential information gap limits the development and management of the resource. GIS-based multi-criteria decision analysis (MCDA) plays an important role in this regard. This work presents the groundwater potential mapping in a data-scarce region of Main Ethiopian Rift (MER) using Soil and Water Assessment Tool (SWAT) and GIS-based MCDA. SWAT was used to model the spatiotemporal variation of groundwater recharge. The calibration and validation results show the applicability of the model in the study area. The estimated monthly average recharge varies from 2.78–164 mm. The recharge, geomorphology, lithology, soil, land use/land-cover, and DEM derived topographic characteristics were analyzed using GIS-based MCDA to evaluate the groundwater potential. The result is classified into low, moderate, and high zones and validated using the wells and springs information available in the region. More than 61% of the area has moderate groundwater potential and less than 22% of the area has high groundwater potential.
Groundwater Potential Mapping Using SWAT and GIS-Based Multi-Criteria Decision Analysis
https://orcid.org/http://orcid.org/0000-0002-0593-5409
https://orcid.org/http://orcid.org/0000-0001-9775-9475
https://orcid.org/http://orcid.org/0000-0003-0163-7305
In several parts of the world, groundwater potential information gap limits the development and management of the resource. GIS-based multi-criteria decision analysis (MCDA) plays an important role in this regard. This work presents the groundwater potential mapping in a data-scarce region of Main Ethiopian Rift (MER) using Soil and Water Assessment Tool (SWAT) and GIS-based MCDA. SWAT was used to model the spatiotemporal variation of groundwater recharge. The calibration and validation results show the applicability of the model in the study area. The estimated monthly average recharge varies from 2.78–164 mm. The recharge, geomorphology, lithology, soil, land use/land-cover, and DEM derived topographic characteristics were analyzed using GIS-based MCDA to evaluate the groundwater potential. The result is classified into low, moderate, and high zones and validated using the wells and springs information available in the region. More than 61% of the area has moderate groundwater potential and less than 22% of the area has high groundwater potential.
Groundwater Potential Mapping Using SWAT and GIS-Based Multi-Criteria Decision Analysis
https://orcid.org/http://orcid.org/0000-0002-0593-5409
https://orcid.org/http://orcid.org/0000-0001-9775-9475
https://orcid.org/http://orcid.org/0000-0003-0163-7305
In several parts of the world, groundwater potential information gap limits the development and management of the resource. GIS-based multi-criteria decision analysis (MCDA) plays an important role in this regard. This work presents the groundwater potential mapping in a data-scarce region of Main Ethiopian Rift (MER) using Soil and Water Assessment Tool (SWAT) and GIS-based MCDA. SWAT was used to model the spatiotemporal variation of groundwater recharge. The calibration and validation results show the applicability of the model in the study area. The estimated monthly average recharge varies from 2.78–164 mm. The recharge, geomorphology, lithology, soil, land use/land-cover, and DEM derived topographic characteristics were analyzed using GIS-based MCDA to evaluate the groundwater potential. The result is classified into low, moderate, and high zones and validated using the wells and springs information available in the region. More than 61% of the area has moderate groundwater potential and less than 22% of the area has high groundwater potential.
Groundwater Potential Mapping Using SWAT and GIS-Based Multi-Criteria Decision Analysis
KSCE J Civ Eng
Yifru, Bisrat Ayalew (author) / Mitiku, Dereje Birhanu (author) / Tolera, Mesfin Benti (author) / Chang, Sun Woo (author) / Chung, Il-Moon (author)
KSCE Journal of Civil Engineering ; 24 ; 2546-2559
2020-08-01
14 pages
Article (Journal)
Electronic Resource
English
Estimation of Groundwater Recharge Rate Using SWAT MODFLOW Model
| Springer Verlag | 2019