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| dc.contributor.author | Wasie Asmamaw | |
| dc.date.accessioned | 2026-07-02T08:30:15Z | |
| dc.date.available | 2026-07-02T08:30:15Z | |
| dc.date.issued | 2024-05 | |
| dc.identifier.uri | http://ir.bdu.edu.et/handle/123456789/16919 | |
| dc.description.abstract | Ensuring access to improved sources of water and safe drinking water for all has been the Nation’s concern which is one of the 17th UN Sustainable Development Goals set to be achieved by 2030. Groundwater is one of the most valuable natural resources in the world. However, groundwater resources, especially in shallow aquifers, are susceptible to contamination. Groundwater pollution is one part of environmental pollution that harms human health, livestock, and agricultural productivity, and other adverse impacts on the world's economic growth. With this respect, the quality of groundwater in the study area has deteriorated due to industrial effluents, domestic wastes, and extensive use of fertilizer for agricultural purposes. Once the groundwater gets polluted, treatment is very difficult and expensive because prevention is much better than protection. With this in mind, this study aims to assess groundwater vulnerability using the Modified DRASTIC model in the Case of Bahir Dar City. The modified DRASTIC model uses eight attributes including, aquifer media, net recharge, Depth to water table, soil media, topography, impact of vadose zone, land use land cover, and hydraulic conductivity of the aquifer were collected from both primary and secondary data sources. These thematic layers were integrated using the Raster calculator tool in a GIS environment to identify and map the spatial distribution of hotspot areas. Single parameter and map removal sensitivity analysis methods are used to identity significant parameters. The result of the study indicates that 5899.73 ha (27.63%) are put under the low vulnerable zone, 7344.92 ha (34.40%) are put under the moderate vulnerable zone, 5589.87 ha (26.18%) are put under the highly vulnerable zone and 2514.28 ha (11.78%) are put under the very high vulnerable zone. The vulnerability of the city is heavily influenced by net recharge (R) and land use land cover (Lu). GIS and Remote Sensing application of the DRASTIC model and integrating Lu in the model was found to be a suitable method for analyzing the groundwater vulnerability in Bahir Dar City. Thus, the study will be helpful in the proper management and development of available groundwater resources in the study area. | en_US |
| dc.language.iso | en | en_US |
| dc.subject | Environment and climate change | en_US |
| dc.title | Modeling Groundwater Vulnerability Using A Modified Drastic Model in the Case of Bahir Dar City, Northwest, Ethiopia | en_US |
| dc.type | Thesis | en_US |
