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Assessment of groundwater potential through vertical electrical sounding at Haji Rehmatullah Palari village, Nooriabad

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Soomro A. , Qureshi A. L. , Jamali M. A. , Ashraf A. , Arain A. Y. W.

Acta Geophysica

2019

tom Vol. 67, no. 6

1605--1623

The study was conducted to assess the groundwater potential at Haji Rehmatullah Palari village aquifer, Union Council Sari of Kalu Khuhar along M-9 Motorway near Nooriabad, Sindh, Pakistan, through vertical electrical sounding (VES) by using Schlumberger electrode array method with 02–210 m. The collected data of 12 VES were interpreted by using IPI2win software. Monsoon rainfall period is very short, which starts from July to September (every year in Pakistan). Average rainfall is 150 mm with variation of 25 mm, in some year zero rainfall. During summer season, the evaporation and transpiration rate are about 70%, while the infiltration rate is 15%. Kalu Nadi (hill torrent) is the only source of recharge of this aquifer that depends on the rainfall. Lithological logs interpreted that mostly aquifers are present in sandstone lithology of Nari Formation which hold these freshwater aquifers having minimum 50 m thickness and have great potential for freshwater exploitation. Lithological logs interpreted that mostly aquifers persist in sandstone lithology of Nari Formation which hold the freshwater. Totally, five tube wells were installed at this aquifer and discharging the freshwater of about 98.55 million gallons per year and rapidly depleting the aquifers. Water business is also observed at this aquifer which was breaking influenced on the aquifer without considering the agricultural development to protect the environment. The aquifer is under pressure to drawdown and may suffer with its quantity and quality, if this trend continues.

Groundwater potential assessment as a preliminary step to solving water scarcity challenges in Ekpoma, Edo State, Nigeria

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Ajibade F. O. , Olajire O. O. , Ajibade T. F. , Fadugba O. G. , Idowu T. E. , Adelodun B. , Opafola O. T. , Lasisi K. H. , Adewumi J. R. , Pham Q. B.

2021

tom Vol. 69, no. 4

1367--1381

Water scarcity is a major challenge around the world, particularly in Ekpoma community, Edo State, Nigeria. The population depends on water vendors and reservoir tanks as a means of water supply. This study aims to make an assessment of groundwater potentials for efective and sustainable water resources management in Ekpoma. Seven criteria were considered to determine groundwater potentiality including slope, rainfall, land use, drainage density, distance to lineament, soil, and geology. According to their impact on groundwater, the parameters were grouped into fuzzy membership categories. The groundwater potentiality map was generated by overlaying the fuzzy members. Of the 101.2 km2 area of Ekpoma, the high, medium, and low potential zones cover 7.9, 6.4, and 85.7% of the total area, respectively. High and medium groundwater zones were identifed mostly on the outskirt of the built-up areas. These groundwater potential areas were discovered to be predominant around the lineament areas suggesting that lineament plays a major role in the potential for groundwater in the study area. Reservoirs can be assigned in these high potential areas. Conclusively, the generated groundwater prospective map can be exploited for hydrological policy making and also by water supply engineers to predict the availability of groundwater.

Development of PROMETHEE-Entropy data mining model for groundwater potentiality modeling: a case study of multifaceted geologic settings in south-western Nigeria

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Mogaji K. A. , Atenidegbe O. F.

tom Vol. 72, no. 3

1957--1984

This work looks at developing an object-driven decision support system (DSS) model with the goal of improving the prediction accuracy of the present expert-driven DSS model in assessing groundwater potentiality. The database of remote sensing, geological, and geophysical information was constructed using the technological efficiency of GIS, data mining, and programming tools. Groundwater potential conditioning factors (GPCF) extracted from the datasets include lithology (Li), hydraulic conductivity (K), lineament density (Ld), transmissivity (T), and transverse resistance (TR) for groundwater potentiality mapping in a typical hard rock multifaceted geologic setting in south-western Nigeria. A Python-based entropy approach was used to objectively weight these factors. The weightage findings determined that the greatest and lowest given values for Ld and K were 0.6 and 0.03, respectively. The produced Python-based PROMETHEE-Entropy model algorithm was born through combining the weight findings with the Python-based PROMETHEE-II method. The groundwater potentiality model (GPM) map of the area was created using the model algorithm's outputs on the gridded raster of GPCF themes. Based on the suggested approach, the validated results of the created GPM maps using the Receiver Operating Characteristic (ROC) curve technique yielded an accuracy of 86%. An object-driven DSS model was created using the approaches that were used. The created object-driven model is a viable alternative to existing approaches in groundwater hydrology and aids in the automation of groundwater resource management in the research region.