Hydrogeological and Hydrogeochemical Characteristics of a Wider Area of the Regional Well Field Eastern Slavonia – Sikirevci

Kopić, Jasna; Loborec, Jelena; Nakić, Zoran

doi:10.17794/rgn.2016.3.4

Cited by 6 publications

(4 citation statements)

References 1 publication

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“…Interpretation of the Piper diagram results (see Figure 3) indicates that the water of the Saïda Mountains is generally collecting calcium bicarbonate and magne-sium, with portions of nitrate, sulfate, and chloride. This tendency is linked to anthropogenic agricultural pollution (e.g., Kopić et al, 2016;Mirčovski et al, 2018).…”

Section: Resultsmentioning

confidence: 99%

The Impact of Agricultural Development on Karstic Groundwater of the Saïda Mountains, Algeria

Bentabet

Azzaz

Emblanch³

et al. 2019

MGPB

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Water quality is a public health issue and this article includes related causes, issues and descriptions for the monitoring of groundwater quality in Algeria. Good water management depends on many qualitative issues, their origin (agriculture), the monitoring of quality and prediction of those parameters during a longer period. The establishment of this work aims at identifying the chemical facies, the origins and the drinking of karstic groundwater of the Saïda Mountains. These mountains are composed of carbonate massifs (limestone-dolomite rocks) of Lower to Middle Jurassic age. They are fed by precipitation and by a relatively dense temporary hydrographic system. The mountains represent an important water reservoir for northwestern Algeria. Anthropogenic impacts have continuously modified the physico-chemical characteristics of the water in this aquifer [NO 3-(62 mg/l), SO 4 2-(173 mg /l), Cl-(123 mg/l)]. This represents critical values that pose risks to the population. An interpretation of graphs of anthropogenic water parameters shows that the primary source of pollution is agricultural activity, which has increased significantly in the study area. However, our investigations and interviews with water resource managers showed that great difficulties persist in the implementation of recommended protective actions.

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Section: Resultsmentioning

confidence: 99%

The Impact of Agricultural Development on Karstic Groundwater of the Saïda Mountains, Algeria

Bentabet

Azzaz

Emblanch³

et al. 2019

MGPB

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“…The dataset adequacy for PCA analysis was calculated using the Kaiser -Meyer -Olkin Test (KMO) and Bartlett's test; a KMO value of 0.5 is considered the smallest acceptable value (Kaiser, 1958;Likas et al, 2003). The PCA technique was carried out to reduce the dimensions of the dataset by finding correlations between different variables and hydrochemical parameters (Brown, 1998;Kim et al, 2005;Kopić et al, 2016;Solano et al, 2023). The multivariate dataset is used in PCA to create a covariance matrix and obtain its eigenvalues and eigenvectors.…”

Section: Statistical Analysis Of Geochemical Datamentioning

confidence: 99%

Multivariate Data Analysis to Assess Groundwater Hydrochemical Characterization in Rawadanau Basin, Banten Indonesia

Hartanto,

Lubis,

Alam

et al. 2024

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A multivariate statistical technique of principal component analysis (PCA) and hierarchical cluster analysis (HCA) has been applied to identify and classify the various water sources that comprise the Rawadanau Basin. The data collection includes 60 samples taken during the dry (29 samples) and the rainy season (31 samples) in tropical regions. Sources of sampled water include dug wells, rivers, cold springs, and hot springs. Water chemistry measurable variables include field data (T, pH, EC), major ions (Na+, K+, Ca2+, Mg2+, Cl-, HCO3 -, SO4 2-), SiO2 , Fetotal, Mn, and stable isotopes of water (δ2H, and δ18O). The correlation of the concentration of water chemistry shows changes in the rainy season to Fetotal and Mn. Interpretation based on HCA using the dendrogram based on the chemical elements of water produces two clusters. Cluster A reflects an unconfined aquifer and bicarbonate type. Meanwhile, cluster B is a chloride type from the confined aquifer and does not change in different seasons. The PCA results show that the three-component matrix accounts for 86.12% of the data structure describing the Rawadanau Basin water sources that volcanic rocks affect and strongly correlate with Na+, K+, Ca2+, and Mg2+. PC1 has a high positive value for hydrochemical composition, indicating that lithology influences the kind of water. PC2 has a positive value for the stable isotope (δ18O and δ2H), meaning it is the main water source in Rawadanau. PC3 has a positive value for elevation and a negative for longitude, indicating a recharge area influenced by geological factors and is correlated with geothermal influences and volcanic rocks. This multivariate analysis can identify components and clusters of hydrochemical variables that have not been determined in previous studies.

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“…Contaminant retention in fine-grained lenses is a challenging problem that pollutes the aquifer for a long time, and its removal is essential for human life. Prediction of the contaminants' dispersion in the groundwater flow system and understanding the procedure to reduce the contaminants are controversial topics covered by several researchers (Stroo et al, 2003;National Research Council, 2005;Sale and Newell, 2010;Kopić et al, 2016;Barešić et al, 2020;Geng et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Simulation of aquifer remediation from low-permeable lenses by back-diffusion phenomenon

Tafti¹,

Ardejani²,

Marji³

et al. 2021

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Fluid flow in a dual permeable medium (DPM) is essential in solute transport in mining and aquifer studies. In this paper, water flushing into a contaminated DPM containing fine-grained lenses with different geometries was investigated with the Lattice Boltzmann Method (LBM). The LBM model used in this study was D2Q9 with a relaxation time of 1, a cohesion value of 3 for a fluid density of 1 (mu.Lu-3). The saturated fluid in the DPM was a contaminant that usually stays in low permeable lenses and after flushing, it is leaked into the porous medium by a second fluid (water). This phenomenon is predominant when the displacing fluid has a lower concentration than the contaminated fluid. Diffusion and advection are the main mechanisms that control fluid flow in the porous medium. The results of the simulations showed: (1) advection controlled solute transport through the flushing phase, and back-diffusion occurred after the change in phase; (2) the lenses’ geometry influenced the fluid flow pattern and the remediation process. As a result, aquifer remediation strategies based on the lenses’ geometry and their permeability can help us select the appropriate environmental protection.

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Hydrogeological and Hydrogeochemical Characteristics of a Wider Area of the Regional Well Field Eastern Slavonia – Sikirevci

Cited by 6 publications

References 1 publication

The Impact of Agricultural Development on Karstic Groundwater of the Saïda Mountains, Algeria

The Impact of Agricultural Development on Karstic Groundwater of the Saïda Mountains, Algeria

Multivariate Data Analysis to Assess Groundwater Hydrochemical Characterization in Rawadanau Basin, Banten Indonesia

Simulation of aquifer remediation from low-permeable lenses by back-diffusion phenomenon

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