Geochemistry of Water and Sediment

Frančišković-Bilinski, Stanislav; Sakan, Sanja

doi:10.3390/w13050693

Cited by 3 publications

(1 citation statement)

References 12 publications

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“…Fluoride amounts suggest that thermal waters interacted with the granitic basement under the Mesozoic sedimentary spread. Fluoride is absorbed into the water by these formations (21,34) . The cation and anion data points towards the presence of meteoric signature in the waters and the waters seeped to the surface after attaining boiling point due to meteoric activity (35,36) .…”

Section: Resultsmentioning

confidence: 99%

Thermal zone identification by gravity data modeling using Euler deconvolution and geochemical analysis of hot springs in Saurashtra and Cambay Basins

Bist¹,

Sircar²,

Yadav³

2021

IJST

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Objective: This study is aimed at interpreting geochemical and geophysical data of 4 locations in Gujarat, India to understand the subsurface geothermal hotspot locations. Methods: CG-5 gravimeter was used to collect the gravity data. Data corrections were done to obtain a complete Bouguer anomaly. The depth of the dense bodies was calculated using Euler deconvolution. Also, the geochemical classification of physiochemical properties of geothermal spring waters of the locations was evaluated to assess their possible applications. Findings: In the sample region, the complete Bouguer anomaly analysis ranges between 1.99 mGal-2.23 mGal. The Euler deconvolution produced depth solutions ranging from 100 to 450 meters, which were mostly found near gravity highs, and the presence of deep structures can be deduced. These deep structures are translated as dense intruding bodies trapped by an overlying cap rock. The Geochemical analysis was done of the four samples. Based on the results of various plots such as Ternary, Durov, Piper, Stiff, the waters are graded as cationic with Na+K and anionic with Cl+SO 4 . The sample waters indicate suitability for drinking and irrigation at some locations. Finding these hotspots and exploiting them is of importance for these areas which are dealing with the acute water crisis. Novelty: Euler deconvolution of gravity data was first time applied for subtle geothermal trap identification in Saurashtra and Cambay basins. It has been established through this study that surface manifestation of these subtle traps are the hot springs. Systematic geochemical characterization of the hot springs progressed the nascent geothermal energy research of India.

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Section: Resultsmentioning

confidence: 99%

Thermal zone identification by gravity data modeling using Euler deconvolution and geochemical analysis of hot springs in Saurashtra and Cambay Basins

Bist¹,

Sircar²,

Yadav³

2021

IJST

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Ecological and health risk assessments of heavy metals in surface water sediments from Ifite Ogwari community in Southeastern Nigeria

Okafor,

Omokpariola,

Tabugbo

et al. 2024

Discov Environ

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Prediction of Activity Coefficients and Osmotic Coefficient of Electrolyte Solutions Containing Rb+ by the Electrolyte Molecular Interaction Volume Model and the Electrolyte Molecular Interaction Volume Model-Energy Term

Wu,

Tao

2024

Metals

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The purpose of this study is to predict two-electrolyte solutions containing Rb+, explore its characteristics to better solve the problems existing in the natural environment, and promote the development of high technology. We fit and predict the activity and osmotic coefficients of nineteen single-electrolyte solutions and seven two-electrolyte solutions containing Rb+ using the electrolytr Molecular Interaction Volume Model and the electrolyte Molecular Interaction Volume Model-Energy Termmodels. The average relative errors of the activity coefficient and osmotic coefficient calculated by eMIVM in aqueous monoelectrolyte solution were 0.59% and 0.38%, respectively, and for eMIVM-ET they were 1.06% and 0.38%, respectively. The average relative errors of activity coefficient and osmotic coefficient calculated by eMIVM-ET in organic single-electrolyte solution were 1.33% and 0.48%, respectively, while for eMIVM they were 1.49% and 0.48%, respectively. When predicting the activity coefficient and osmotic coefficient of two-electrolyte solutions containing Rb+, the average relative errors calculated by the eMIVM-ET model were 23% and 13%, respectively, while the values calculated by the eMIVM model were 34% and 17%, respectively. The results show that eMIVM-ET has a good fitting effect in organic monoelectrolyte solutions, and eMIVM has a good fitting effect in aqueous monoelectrolyte solutions. In the prediction of two-electrolyte solutions, the eMIVM-ET model performs better than the eMIVM model.

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Geochemistry of Water and Sediment

Abstract: Access to drinking water is one of the largest problems of modern times, and water pollution is a growing problem worldwide [...]

Cited by 3 publications

References 12 publications

Thermal zone identification by gravity data modeling using Euler deconvolution and geochemical analysis of hot springs in Saurashtra and Cambay Basins

Thermal zone identification by gravity data modeling using Euler deconvolution and geochemical analysis of hot springs in Saurashtra and Cambay Basins

Ecological and health risk assessments of heavy metals in surface water sediments from Ifite Ogwari community in Southeastern Nigeria

Prediction of Activity Coefficients and Osmotic Coefficient of Electrolyte Solutions Containing Rb+ by the Electrolyte Molecular Interaction Volume Model and the Electrolyte Molecular Interaction Volume Model-Energy Term

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