Groundwater has recently been considered one of the primary sources water supply in Sudan. However, groundwater quality is continuously degraded due to overexploitation and long-term agricultural operations. The fossilized Cretaceous Nubian sandstone principal aquifer study area. This research aims determine major factors influencing detect suitability for drinking irrigation purposes by integrating hydrochemical multivariate statistical methods. Hydrochemical plots such as Piper, Chadha,...

This research aims to explore the application of an unsupervised machine learning and inverse modeling-based methods map aquifers geometry investigate petrophysical hydrogeological parameters Quaternary aquifer system around Debrecen area, Eastern Hungary. The study utilized a limited geophysical well-logs, including spontaneous potential, natural gamma ray, normal resistivity logs. k-means clustering technique is applied identify distribution lithological facies within formerly identified...

Abstract In the present study, multilayer perceptron (MLP) neural network and support vector regression (SVR) models were developed to assess suitability of groundwater for drinking purposes in northern Khartoum area, Sudan. The quality was evaluated by predicting index (GWQI). GWQI is a statistical model that uses sub-indices accumulation functions reduce dimensionality data. first stage, calculated using 11 physiochemical parameters collected from 20 wells. These include pH, EC, TDS, TH,...

The recent study aims to detect the spatial distribution of hydraulic parameters and evaluate protective capacity groundwater aquifers in northern Khartoum state using geophysical hydrogeological methods. area is located transition zone between sedimentary basin dominated by crystalline basement rocks. Vertical electrical sounding (VES) measurements, Schlumberger configuration, were taken along three profiles delineate thicknesses sediments aquifers. VES measurements combined with lithology...

Abstract The primary goals of this research are to detect the spatial variation hydrogeological characteristics and evaluate groundwater quality in eastern Nile River, Khartoum state, Sudan, using geophysical hydrochemical methods. Thirteen Vertical electrical soundings (VES), Schlumberger configuration, were measured along three profiles characterize aquifer. VES findings denoted that study area comprises two hydraulically connected aquifers. upper aquifer sand has an average thickness 50...

A novel clustering method is applied to well logs for improved rock type identification in hydrocarbon formations. For grouping the objects multi-dimensional data space, we propose a Most Frequent Value (MFV) based technique natural gamma ray, bulk density, sonic, photoelectric index, and resistivity logs. The MFV robust estimator, which assists finding cluster centers more reliably than noise sensitive K-means approach. result of analysis highly depends on choose initial centroids. To...

Abstract This research presents an unsupervised learning approach for interpreting well-log data to characterize the hydrostratigraphical units within Quaternary aquifer system in Debrecen area, Eastern Hungary. The study applied factor analysis (FA) extract logs from spontaneous potential (SP), natural gamma ray (NGR), and resistivity (RS) correlate it petrophysical hydrogeological parameters of shale volume hydraulic conductivity. indicated a significant exponential relationship between...

Abstract The Debrecen area, as part of the Great Hungarian Plain (GHP), is associated with a multi-aquifer system that overly exploited to fulfill development plans. This research aims jointly interpret and model gravity magnetic data map subsurface geology structures govern groundwater occurrence. Various potential field techniques, including spectral analysis, anomaly derivatives, analytical signal, Euler deconvolution were employed distribution depth buried geological structures....

Abstract In this research, a multi-step modeling approach is followed using unsupervised and deep learning algorithms to interpret the geophysical well-logging data for improved characterization of Quaternary aquifer system in Debrecen area, Hungary. The Most Frequent Value-Assisted Cluster Analysis (MFV-CA) used map lithological variations within system. Additionally, Csókás method discern both vertical horizontal fluctuations hydraulic conductivity. MFV-CA introduced cope with limitation...

The quality analysis of well-logging inversion results has always been an important part formation evaluation. precise calculation hydrocarbon reserves requires the most accurate possible estimation porosity, water saturation, and shale rock-matrix volumes. local method conventionally used to predict above model parameters depth by represents a marginally overdetermined inverse problem, which is rather sensitive uncertainty observed data limited in accuracy. To reduce harmful effect noise on...

Abstract The recent research is carried out to model the characteristics and productivity of groundwater aquifer in Omdurman area, Sudan, by combining electrical resistivity pumping test methods. most populous city known as traditional capital Sudan. Vertical sounding (VES) survey using Schlumberger array along four profiles delineate potential zones. Application 1D geophysical inversion revealed five geoelectric layers, including deposits, clay, silicified ferruginous sandstone, sandstone....

Abstract Hydraulic conductivity is one of the crucial parameters used to identify potentiality and productivity groundwater aquifers. This research employs an integrated approach using geophysical well logging, exploratory factor analysis surface electrical resistivity methods detect vertical horizontal variation hydraulic in Bahri city, Sudan. Based on logs Spontaneous potential (SP), natural gamma ray (GR), (RS), Csókás method determine continuous along aquifer. experimentally modified...

We present a workflow for the improved interpretation of Nile River’s unique dataset implying quantitative water level data from A.D. 622 to 1921 with some breaks. In framework proposed methodology, innovative algorithms are presented (1) filling in missing data, (2) extraction spectral information content completed dataset, and (3) applying statistical pattern recognition using same imputed dataset. first step an inversion-based Fourier transformation method is developed replace reliable...

Groundwater aquifers are complex systems that require accurate lithological and hydrogeological characterization for effective development management. Traditional methods, such as core analysis pumping tests provide precise results but expensive, time-consuming, impractical large-scale investigations. Geophysical well logging data offers an efficient continuous alternative, though manual interpretation of logs can be challenging may result in ambiguous outcomes. This research introduces...

Abstract Monitoring changes in groundwater quality over time helps identify time-dependent factors influencing water safety and supports the development of effective management strategies. This study investigates spatiotemporal evolution chemistry Debrecen area, Hungary, from 2019 to 2024, using indexing, machine learning, multivariate statistical techniques. These techniques include self-organizing maps (SOM), hierarchical cluster analysis (HCA), principal component (PCA), indexing (GWQI)....

Rats display behaviours in response to aversive stimuli that communicate danger. Both male and female rats freezing ultrasonic vocalisation alarm calls, which are proposed have a communicative function. This study assessed dominance both using resource competition assay, recorded vocalisations produced by dominant pavlovian conditioning. To assess the ability of calls support subsequent learning conspecific, were played back submissive presence neutral odour. sexes responded playback calls....

Agriculture is considered one of the primary elements for socioeconomic stability in most parts Sudan. Consequently, irrigation water should be properly managed to achieve sustainable crop yield and soil fertility. This research aims predict indices sodium adsorption ratio (SAR), percentage (Na%), permeability index (PI), potential salinity (PS) using innovative machine learning (ML) techniques, including K-nearest neighbor (KNN), random forest (RF), support vector regression (SVR), Gaussian...

Abstract The recent study followed a multi-methodological approach integrating gravity, magnetotelluric (MT), and electrical resistivity tomography (ERT) to investigate the geometry hydrological characteristics of main hydrostratigraphical units in Western Debrecen area, Eastern Hungary. integration these methods aims delineate potential zones for groundwater development guide effective extraction strategies. In gravity investigation, Bouguer anomaly map undergoes spectral analysis...

This research proposes an innovative approach utilizing geophysical well logging data analyzed with multiple machine learning (ML) methods including, self-organizing maps (SOMs), k-means cluster analysis (CA), and most frequent value-assisted (MFV-CA), to automatically identify lithological variation within a complex groundwater system. The MFV method is introduced enhance center identification. In MFV, automatedly weighted Euclidean distance applied in which closer points are assigned...

The Hungarian water management plan has lately identified 185 groundwater bodies based on the concepts given by European Water Framework Directive. Achieving and maintaining good quantitative chemical status of these is primary importance. It demonstrated how innovative hydrogeophysical methods can be applied successfully to assess or other international bodies. By applying geoelectric methods, horizontal layering large uniform rock units well characterized Wenner–Schlumberger array, also...