Groundwater Exploration for Water Well Site Locations Using Geophysical Survey Methods

Shishaye, Haile Arefayne; Abdi, Semir

doi:10.4172/2157-7587.1000226

Cited by 17 publications

(7 citation statements)

References 2 publications

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“…The integration of these significant factors is ranked and weighted in AHP and a thematic map is generated from these weights based on overlay analysis. The Analytical Hierarchy Process (AHP) principle was applied to assign weights through the AHP scale and judgment (Arefayne Shishaye & Abdi, 2015). Then, setting up priorities between the elements to be compared based on the scale, pair-wise comparison matrix for scale consists of the relative importance of the criterion from 1 (equal importance) to 9 (extreme preference of one factor over the other) was applied (Table 1).…”

Section: Methodsmentioning

confidence: 99%

“…The application of GIS and remote sensing for 2 Air, Soil and Water Research the delineation of groundwater potential zones is mainly focused on the remotely sensed data available online (Das, 2019;Phinzi & Ngetar, 2019). The accuracy of these data is relatively low when compared to the ground surveyed data (Arefayne Shishaye & Abdi, 2015). The uncertainty in the remote sensing data will propagate throughout the data analysis and will disturb the result (Chang et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

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An integrated Artificial Intelligence and GIS spatial analyst tools for Delineation of Groundwater Potential Zones in complex terrain: Fincha Catchment, Abay Basi, Ethiopia

Tamiru

Wagari

Tadese

2022

Air, Soil and Water Research

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In this paper, the performance of Artificial Intelligence (AI) in Geospatial analysis and GIS platforms for the prospecting of potential groundwater zones was evaluated in Fincha catchment, Abay, Ethiopia. Components of geospatial data under morphometric, hydrologic, permeability, and surface dynamic change were confirmed as the criteria for prospecting groundwater potential zones. The influence of the individual criterion was ranked and weighted in Artificial Neural Networks (ANN) training model and Analytical Hierarchy Process (AHP). The correctness of the weights fixed in the ANN and AHP was evaluated with target data assigned to the networks and consistency index (CI) respectively. The weighted overlay analysis in the GIS environment was implemented to generate the promising zones in both approaches (ANN and GIS). The results obtained in the ANN model and GIS were evaluated based on pumping rate and ground-truthing points. Groundwater potential zones of five and four classes were delineated in AI and GIS techniques respectively, and this is an indicator for the effectiveness of AI in geospatial analysis for prospecting of potential zones than the traditional GIS technique. The percentage of accuracy in both methods was measured from the ROC curve and AUC. Therefore, it was found that the delineated groundwater potential zones and the ground-truthing points were agreed with 96% and 91% in the AI and GIS platforms respectively. Finally, it is concluded that the ANN model is an effective tool for the delineation of groundwater prospective zones.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An integrated Artificial Intelligence and GIS spatial analyst tools for Delineation of Groundwater Potential Zones in complex terrain: Fincha Catchment, Abay Basi, Ethiopia

Tamiru

Wagari

Tadese

2022

Air, Soil and Water Research

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“…Water resource, which is the backbone and crucial element of life, is needed in sufficient quantity and quality to meet the increasing demand for domestic, agricultural and industrial processing operations (Fenta et al 2014;Shanableh and Merabtene 2015;Arefayne et al 2015). But, its availability is limited because of its natural distribution on the earth surface, in which 97.5% of the global water is saline existing in the oceans and only 2.5% is considered to be available for biological use, i.e., fresh water.…”

Section: Background and Justificationmentioning

confidence: 99%

Estimation of groundwater recharge using GIS-based WetSpass model for Birki watershed, the eastern zone of Tigray, Northern Ethiopia

Meresa

Taye

2018

Sustain. Water Resour. Manag.

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This research aimed to use WetSpass model to estimate long-term average annual and seasonal groundwater recharge for Birki watershed (45 km 2) in northern Ethiopia using long-term (10 years) hydro-meteorological and biophysical (soil, land use, topography, slope and groundwater depth) data of the watershed. Both primary and secondary input data were collected using field survey and disk-based data collection methods. The model was used to understand the groundwater recharge potential of the given area for wise utilization, proper management and future planning of the water resource. The results showed that, summer (rainy season) recharge ranges from 0 to 41.09 mm/year with mean value of 24.1 mm/year (96.5%), winter (dry season) recharge ranges from 0 to 1.9 mm/year with mean value of 0.8 mm/year (3.5%) and yearly recharge ranges from 0 to 42.6 mm/year with mean value of 24.9 mm/year. Ten years of mean annual precipitation 573 mm contributed to 7.4% as recharge to the groundwater, 7.1% of surface runoff and 85.5% lost as evapotranspiration. Annually, 1.1205 million m 3 water recharges into the groundwater table as recharge from the precipitation for the entire watershed area. Annually on average 0.17 m 3 /d/ha groundwater can be extracted safely without depleting the groundwater. Understanding the groundwater recharge of the Birki watershed is important for management, proper utilization and future planning of water resources for sustainable management. It is also good baseline information for water resource experts and policymakers of the region for further investigation of water resources, design, and developmental activities and for planning purpose.

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“…Groundwater is an essential resource, and it is a crucial source of freshwater worldwide [3]. Showed that the occurrence and distribution of groundwater aquifers in Ethiopia depend on several environmental and geological factors.…”

Section: Introductionmentioning

confidence: 99%

Geophysical Based Groundwater Potential Zone Mapping: Perspectives and Inferences from Lisana Area along the Guder River, Western Margin of the Central Main Ethiopian Rift

2023

EESRR

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Vertical electrical soundings and magnetic data were used to map the groundwater aquifer system in the Lisana area along the Guder River, northeast of Hosanna town, near the western margin of the Central Main Ethiopian Rift. The surveys were used to map a potential aquifer zone and investigate the groundwater potential for the current and future development of the resource in the Lisana area. The VES data were used to map the depth of a potential aquifer zone and its distribution over the area. The magnetic survey was used to delineate contacts between lithologic units and geological structures. Two-dimensional magnetic forward modeling and one-dimensional electrical modeling were used to identify fractures and lithological units containing potential groundwater. The magnetic and electrical resistivity modeling indicated that a potential aquifer occurs at a depth range from 115m to 142m. The potential aquifer occurs within weathered and fractured ignimbrite and a pumice layer containing sandy soil. This latter lithological unit is the main water-bearing horizon.

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Groundwater Exploration for Water Well Site Locations Using Geophysical Survey Methods

Cited by 17 publications

References 2 publications

An integrated Artificial Intelligence and GIS spatial analyst tools for Delineation of Groundwater Potential Zones in complex terrain: Fincha Catchment, Abay Basi, Ethiopia

An integrated Artificial Intelligence and GIS spatial analyst tools for Delineation of Groundwater Potential Zones in complex terrain: Fincha Catchment, Abay Basi, Ethiopia

Estimation of groundwater recharge using GIS-based WetSpass model for Birki watershed, the eastern zone of Tigray, Northern Ethiopia

Geophysical Based Groundwater Potential Zone Mapping: Perspectives and Inferences from Lisana Area along the Guder River, Western Margin of the Central Main Ethiopian Rift

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