Delineation of aquifer systems and aquifer vulnerability using geoelectrical parameters: A case study of Ashaka cement factory

Kwami, I.A.; Haruna, A.I.; Mukkafa, S.; Maigari, A.S.; Bello, A.M.; Usman, M.B.; Umar, A.D.; Justus, I.O.; Sadiq, A.M.; Umar, M.A.

doi:10.1016/j.rines.2023.100003

Cited by 5 publications

(3 citation statements)

References 23 publications

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“…Moderate LC was recorded in the central part, while low LC was observed in the remaining parts. Regions of high Longitudinal Conductance are known to have a good aquifer protective capacity (Kwami et al, 2023). The highest value of Aquifer Transverse Resistance was recorded at Umuolu Obeakpu-1 (NJ17) with RT value of 1408950 Ωm 2 , while the least RT was recorded at Community Borehole Umuodiri (NJ19) with RT value of 30987 Ωm 2 .…”

Section: Discussionmentioning

confidence: 99%

Application of geological and geo-electric methods in the assessment of corrosivity, competence, and vulnerability of soils around Southeastern Nigeria

Uzochi,

Obinna,

Alexander

et al. 2024

Int. J. Phys. Sci.

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The study investigates the electro-geophsysical method's application to assess corrosivity, competence, and aquifer vulnerability in Njaba and its environs, in southeastern Nigeria, aiming to determine soil suitability for engineering constructions and estimate aquifer vulnerability. Urbanization in the area has led to increased man-made structures and surface pollution exposure. Twenty-three geo-electric resistivity soundings were conducted using ABEM Terameter SAS-4000 and Schlumberger configuration with a maximum half-current electrode spacing of 500 m. Results indicate undulating topography with elevations ranging from 361 to 1336.9ft. Soil resistivity assessment reveals 43.5% moderate competence, 26.1% competent, and 26.1% highly competent zones, with the remainder exhibiting incompetent clay lithology. Corrosivity assessment shows 73.9% essentially non-corrosive and 26.1% mildly corrosive topsoil. The study identifies a semi-deep aquifer system with depths ranging from 79.2 to 115 m and thickness from 23.4 to 48.5 m. Aquifer resistivity ranges from 28700 to 990 Ωm, indicating clean sand to sand with clay admixtures. Hydraulic conductivity varies from 0.0852 to 27.90068 m/day, suggesting clean sand. Aquifer vulnerability assessment indicates a high to moderately low protective capacity, making most of the area suitable for engineering construction and groundwater development. The study highlights the reliability of geological and geo-electric methods in delineating hydraulic conductivity and lithostratigraphic units. It recommends corrosion-resistant pipes in mildly corrosive areas to prevent pipe rupture within a depth of approximately 1.1 m.

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Section: Discussionmentioning

confidence: 99%

Application of geological and geo-electric methods in the assessment of corrosivity, competence, and vulnerability of soils around Southeastern Nigeria

Uzochi,

Obinna,

Alexander

et al. 2024

Int. J. Phys. Sci.

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“…Vulnerability is, in fact, an estimate of the type (management and environmental) and amount (amount) of damage to a system that is exposed to external or internal disturbances (Brand & Jax, 2007). Vulnerability assessment is a process during which information identifying vulnerability is combined and the areas with high vulnerability are distinguished from the areas with low vulnerability (Civita & Della, 1994;Kwami et al, 2023). In the quantitative assessment of the vulnerability of the aquifer, attention is paid to the transfer and ow models in the saturated and unsaturated zone, and the effect of the physical and hydrological characteristics of the soil, nutrition, and in ltration depth are evaluated to determine the distribution of sensitive or vulnerable areas (Almasri, 2008;Kwami et al, 2023;Smida et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Spatial analysis of aquifer vulnerability using DRASTIC, SI, GODS and SINTACS models, (Study area: Mashhad Plain aquifer - Northeast Iran)

Gholizade,

Saffari,

Ahmadabadi

et al. 2024

Preprint

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The vulnerability of the Mashhad aquifer has been analyzed by spatial analysis approach using DRASTIC, SI, GODS and SINTACS models. The Mashhad aquifer in northeast Iran is now considered a critical area due to its special circumstances, the presence of industrial and agricultural activities, and large settlements. This study aims to evaluate the vulnerability zones of the Mashhad aquifer using four models DRASTIC, SI, GODS and SINTACS. The parameters of the models are explained and measured by GIS capabilities. After weighting, ranking, and integrating the layers in the ArcGIS software, we have produced vulnerability maps of the aquifer. The results have indicated that in the DRASTIC model, the study area is categorized into five vulnerability zones very low (5.81%), low (26.03%), moderate (44.45%), high (22.57%), and very high (1.13%). In the SI model, the study area is categorized into five vulnerability zones very low (0.40%), low (24.63%), moderate (23.98%), high (18.71%), and very high vulnerability (32.25%). In the GODS model, it is categorized into five vulnerability zones very low (0.93%), low (31.11%), moderate (11.45%), high (1.56%), and very high (54.95%). In the SINTACS model, the area is also categorized into the vulnerability five zones very low (0.44%), low (25.57%), moderate (28.58%), high (2.79%), and very high (42.61%). For validating the results, the vulnerability maps have been compared with the TDS quality index. The results showed that all four models have high accuracy in categorizing the vulnerability of the Mashhad aquifer. The comparison among the results of the models has indicated that the vulnerability of the aquifer generally increases from southeast to northwest and then decreases from the central region towards the northwestern areas.

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“…A fully nonlinear inversion is applied to determine the causative body by inverting ground deformations and gravity variations due to pressure and mass anomalies implanted into an elastic medium. Impressive outcomes are in volcanic environments, where ground deformations by seismic sequences are associated with over-pressured magmatic geobodies (Camacho et al, 2020;Cammarata et al, 2018;Cintorrino et al, 2019;Dhawale et al, 2023;Kianoush et al, 2023e;Kianoush et al, 2024;Kianoush et al, 2023b;Kingson et al, 2023;Kwami et al, 2023;Palano et al, 2023;Pirhadi et al, 2023). In this research, a 1-D inversion problem, also known as the pseudo-well problem, has been investigated.…”

Section: Introductionmentioning

confidence: 99%

Estimating elastic properties of sediments by pseudo-wells generation utilizing simulated annealing optimization method

Khah,

Salehi,

Kianoush

et al. 2024

Preprint

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The hydrate concentration model considerably affects elastic properties, including bulk and shear modulus. Defining seismic properties of sediments, such as compressional and shear wave velocity and density, provides valuable information to identify rock facies and fluid types. This information commonly results from pre-stack seismic inversion, while post-stack seismic information provides acoustic impedance as a layer-based property. Traditionally, seismic inversion requires well logs to produce an initial guess of inversion routines and provide a low-frequency part of the amplitude spectrum. Eventually, seismic inversion methods could not be performed in the areas without well-log data, such as deep sea areas. In such cases, pseudo-well logs derived from pre-stack seismic data are a solution. Pseudo-well generation is a title used to estimate the elastic parameters of sediments in areas, such as deep marine environments, where drilled wells are absent or sparse. Metaheuristic optimization algorithms are suitable tools for minimizing the cost function as they best match real and synthetic seismic data. In this study, the SEAM earth model has been used as a reference to investigate the quality of pseudo-well generation utilizing a simulated annealing (SA) algorithm as an optimization method of property model change, which minimizes the cost function of seismic inversion. As a result, considering an initial model type of the SEAM model, simultaneous seismic inversion introduced the best compressional and shear wave velocities and density logs, which provide the best real and synthetic seismic data match when synthetic data is calculated from the simplified Zoeppritz equation.

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Delineation of aquifer systems and aquifer vulnerability using geoelectrical parameters: A case study of Ashaka cement factory

Cited by 5 publications

References 23 publications

Application of geological and geo-electric methods in the assessment of corrosivity, competence, and vulnerability of soils around Southeastern Nigeria

Application of geological and geo-electric methods in the assessment of corrosivity, competence, and vulnerability of soils around Southeastern Nigeria

Spatial analysis of aquifer vulnerability using DRASTIC, SI, GODS and SINTACS models, (Study area: Mashhad Plain aquifer - Northeast Iran)

Estimating elastic properties of sediments by pseudo-wells generation utilizing simulated annealing optimization method

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