Predictive modeling for U and Th concentrations in mineral and thermal waters, Serbia
| Autor: | Petar Papic, Ana Mladenovic, Jana Štrbački, Igor Jemcov, Marina Ćuk Đurović, Maja Todorović |
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| Rok vydání: | 2020 |
| Předmět: |
0208 environmental biotechnology
chemistry.chemical_element Soil Science 02 engineering and technology 010501 environmental sciences 01 natural sciences chemistry.chemical_compound Environmental Chemistry 0105 earth and related environmental sciences Earth-Surface Processes Water Science and Technology Global and Planetary Change Hydrogeology Mineral Groundwater sampling Thorium Geology Uranium Pollution 6. Clean water 020801 environmental engineering Igneous rock chemistry Environmental chemistry Carbon dioxide Environmental science Groundwater |
| Zdroj: | Environmental Earth Sciences |
| Popis: | The objective of this paper was to determine background values (BV) and anomalous values (AV) of U and Th in groundwater and to establish hydrogeochemical conditions which lead to the elevated concentrations of these elements in groundwater. The methodology included planning and collecting of water samples, laboratory work, and assessment of BV and AV concentrations in accordance with the dataset distribution, based on consideration of hydrogeochemical conditions in the hydrogeological system. Groundwater sampling included 144 occurrences of mineral and thermal water from Serbian territory, belonging to different hydrogeological systems. Field parameters were measured for temperature (T), pH, electrical conductivity (EC), oxidation–reduction potential (ORP), dissolved oxygen (DO), and carbon dioxide (CO2). Standard laboratory measurements were applied for the determination of major chemical components (Ca, Mg, Na, K, Cl, HCO3, and SO4) and U and Th concentrations were measured by ICP-MS. The first step for obtaining U and Th threshold values was based on non-parametric statistical analysis on the data sets. Further analysis of threshold values enabled establishing hydrogeochemical conditions influencing elevated concentrations of U and Th and setting up the logistic regression (LR) model. Differences in the hydrochemical properties of U and Th can be observed based on predictor variables from LR models. Physico-chemical parameters Eh and pH, groundwater type, and geochemical environment (cretaceous igneous rocks) were significant predictors for elevated uranium concentrations, while significant predictors in the thorium LR model were the pH value, the concentration of SO4 in the solution, and the water-bearing rocks (tertiary igneous rocks). |
| Databáze: | OpenAIRE |
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