Spatial Modelling of Groundwater Recharge Zones for Artificial Recharge: Integrating GIS and Remote Sensing in the Akaki River Catchment, Ethiopia
| dc.contributor.author | Feven Tamrat | |
| dc.date.accessioned | 2024-07-31T08:27:33Z | |
| dc.date.available | 2024-07-31T08:27:33Z | |
| dc.date.issued | 2024-05 | |
| dc.description.abstract | Excessive extraction, uncontrolled groundwater withdrawal, and unregulated practices are leading to the depletion of groundwater resources in the Akaki Catchment, Ethiopia. The alarming rise in groundwater extraction is driven by urbanization and population growth, which aim to meet the high water demand in the area. Additionally, urbanization has reduced natural groundwater recharge due to deforestation and increased impervious surfaces. A study using a water balance model showed that the mean annual groundwater recharge decreased from 268.6 mm in 1986 to 260 mm in 2015, attributed to changes in land use and land cover in the catchment. To address this issue, implementing suitable artificial recharge structures can effectively increase groundwater levels. This study aims to identify potential zones for artificial groundwater recharge in the Akaki Catchment, Ethiopia, using integrated approach of Geographical Information System (GIS) and Remote Sensing (RS) Technologies with Analytic Hierarchy Process (AHP) to facilitate the implementation of recharge techniques. Nine groundwater recharge affecting factors were used to map the recharge indexes. The thematic layers were prepared from various remote sensing /satellite data, conventional and secondary data and used for groundwater recharge zone map development by assigning weights using AHP method to each thematic layer and features .The weighted sum overlay analysis (WOA ) result showed that the study area can be categorized into three different groundwater recharge potential zones: areas of high groundwater recharge are estimated to cover 1.38 km2 (0.10% of the study area), moderate recharge 1,192.69 km2 (82.75%), and low recharge 247.25 km2 (17.15%). The result was also validated through ROC method and had a prediction of AUC=0.756 and considered as a good prediction. Finally, in this study an effort has been made to recommend the possible types and locations for the selected artificial recharge structures. | |
| dc.identifier.uri | https://etd.aau.edu.et/handle/123456789/3338 | |
| dc.language.iso | en_US | |
| dc.publisher | Addis Ababa University | |
| dc.subject | GIS | |
| dc.subject | Remote Sensing (RS) AHP | |
| dc.subject | Groundwater Recharge Potential | |
| dc.subject | Akaki Catchment | |
| dc.title | Spatial Modelling of Groundwater Recharge Zones for Artificial Recharge: Integrating GIS and Remote Sensing in the Akaki River Catchment, Ethiopia | |
| dc.type | Thesis |