Spatial analysis of groundwater vulnerability to contamination and human activity impact using a modified DRASTIC model in Elalla-Aynalem Catchment, Northern Ethiopia

Zenebe, Gebremedhin Berhe; Hussien, Abdelwassie; Girmay, Abbadi; Hailu, Gebrerufael

doi:10.1007/s40899-020-00406-7

Cited by 15 publications

(7 citation statements)

References 37 publications

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“…However, such studies were conducted in limited parts of the country, as described in Table 3, though many areas need in-depth investigations. For example, the distribution of existing studies are found in Lake Tana basin [76] and Megech watershed [48] (Northwest Ethiopia); Dire Dawa (Eastern Ethiopia) [51]; Elalla-Aynalem well fields [110] (Northern Ethiopia); Lower Ketar [111], Adama Town [101], and Modjo River catchment [112] (Central Ethiopia). The vulnerability of groundwater to contaminants resulted from a finite combination of hydrogeological setting and human activities [46][47][48].…”

Section: Groundwater Qualitymentioning

confidence: 99%

“…GIS has been used to assess groundwater pollution in different parts of the world for decades. Assessment of exposure to groundwater pollution based on GIS has been practiced in some areas of Ethiopia [48,51,76,110]. Studies showed that groundwater has a high concentration of nitrates and microbes [13,43,49,50].…”

Section: Groundwater Qualitymentioning

confidence: 99%

“…The DRASTIC model identified the potential risk of aquifers for temporary protection over ample aquifer storage effectively [48,51,76,110]. The vulnerability assessment identified and delineated aquifer vulnerability spatial extent to pollution of the area.…”

Section: Groundwater Qualitymentioning

confidence: 99%

“…The vulnerability assessment identified and delineated aquifer vulnerability spatial extent to pollution of the area. Vulnerability evaluation has been analyzed with depth to the water table, net recharge, aquifer media, soil media, topography, vadose zone, hydraulic conductivity, and land use and land cover as essential parameters [48,51,76,110]. The study results indicated that catchment characteristics impacted the vulnerability of aquifers investigated.…”

Section: Groundwater Qualitymentioning

confidence: 99%

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Challenges and Prospects of Advancing Groundwater Research in Ethiopian Aquifers: A Review

et al. 2021

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Groundwater is a strategic resource in all climatic regions of Ethiopia, contributing about 80% of the domestic supply of urban and rural populations. However, little research has been available compared with extensive geographical coverage and increasing population growth rates. Hence, the present study aimed to review published groundwater research of Ethiopian aquifers to realize potential research challenges and suggest future research directions. We focused on groundwater potential, recharge process, and qualities. The total potential groundwater of the country ranges from 2.5 to 47 billion cubic meters. The study depicted that the mean annual recharge estimate varies from 24.9 mm to 457 mm at catchments scales. However, the overall country was about 39.1 mm. The study found a need for a detailed investigation of different factors susceptible to groundwater pollution, as some of the evaluations indicated exceeding acceptable standards. This study observed that the main challenge was the lack of data and convergence research trends. Henceforth, future research in different climate regions should focus on multifaceted technical and stakeholder settings. This study gives the insight to integrate palatable research findings with the national policy and decision-making process to enhance the sustainability of groundwater resources significantly.

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Section: Groundwater Qualitymentioning

confidence: 99%

Section: Groundwater Qualitymentioning

confidence: 99%

Section: Groundwater Qualitymentioning

confidence: 99%

Section: Groundwater Qualitymentioning

confidence: 99%

See 2 more Smart Citations

Challenges and Prospects of Advancing Groundwater Research in Ethiopian Aquifers: A Review

et al. 2021

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“…Sensitivity analysis was done to evaluate the influence of the assigned rates and weights of each class and thematic layer on the output of the aquifer vulnerability potential map since weights and ratings used in the model are theoretical, and there is a general absence of supporting experimental evidence(Napolitano and Fabbri 1996). Modified DRASTIC model approaches have received much attention in response to the third question(Baghapour et al 2016;Soyaslan 2020;Rajput et al 2020;Berhe Zenebe et al 2020). Involvement of regional factors such as land use or special features such as sinkholes support changing the nature of the use of the DRASTIC model (Taheri et al…”

mentioning

confidence: 99%

Assessment of alluvial aquifer intrinsic vulnerability by a generic DRASTIC model: a discussion on data adequacy and pragmatic results

Taheri,

Missimer,

Maleki

et al. 2023

Environ Dev Sustain

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DRASTIC is a model that is commonly used to assess vulnerability to groundwater contamination at the landscape scale. When sparse data are available to populate the layers of the model, it can be difficult to ascertain the true usefulness of the model produced map. In this research an alluvial aquifer, the Sahneh aquifer in Kermanshah province of western Iran, was mapped using the generic DRASTIC model. The data available for populating the model layers were generally sparse. The model was validated using a nitrate concentration map constructed from well water measurements within the DRASTIC map area. A Receiver Operating Curve (ROC) analysis was conducted by placing 500 random points in the DRASTIC generated map compared to the nitrate concentration map. The area under the curve was compared and yielded a value of 0.72 or 72% concordance, which means it has good validity. This investigation demonstrates that a generic DRASTIC model can yield acceptable results without modification or increasing its complexity. If the ROC analysis had yielded a value <50%, then the DRASTIC would have been considered to not be useful. A common mistake in the use of DRASTIC is to modify the method to greatly increase its complexity, which may actually decrease, not increase the resultant model usefulness.

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Geostatistical Methods and Framework for Pollution Modelling

Khan,

Jehangir

2023

Geospatial Analytics for Environmental Pollution Modeling

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Spatial analysis of groundwater vulnerability to contamination and human activity impact using a modified DRASTIC model in Elalla-Aynalem Catchment, Northern Ethiopia

Cited by 15 publications

References 37 publications

Challenges and Prospects of Advancing Groundwater Research in Ethiopian Aquifers: A Review

Challenges and Prospects of Advancing Groundwater Research in Ethiopian Aquifers: A Review

Assessment of alluvial aquifer intrinsic vulnerability by a generic DRASTIC model: a discussion on data adequacy and pragmatic results

Geostatistical Methods and Framework for Pollution Modelling

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