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Kurmanseiit, M.B.; Tungatarova, M.S.; Royer, J.-J.; Aizhulov, D.Y.; Shayakhmetov, N.M.; Kaltayev, A. |
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Streamline-based reactive transport modeling of uranium mining during in-situ leaching: Advantages and drawbacks |
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2023 |
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Hydrometallurgy |
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220 |
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106107 |
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3D modeling, In-situ leaching, Reactive transport model, Streamlines, Uranium recovery |
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Reactive transport modeling is known to be computationally intensive when applied to 3D problems. Transforming sequential computing on the computer processor units (CPU) into parallelized computation on the high-performance parallel graphic processor units (GPU) is a classical approach to increasing computational performance. Another complementary approach is to decompose a complex 3D modeling problem into a set of simpler 1D problems using streamline approaches which can be easily parallelized, therefore reducing computation time. This paper investigates solutions to the equations governing dissolution and transport using streamlines coupled with a parallelization approach. In addition, an analytical solution to the dissolution and transfer equations of uranium describing the In-Situ Leaching (ISL) mining recovery is found using an approximation series to the 2nd order. The analytical solution is compared to the 1D numerical resolution along the streamlines and to the 3D simulation results superimposed on the streamline. Both approaches give similar results with a relative error of \textless2 % (2%). The proposed methodology is then applied to a case study in which the classical 3D resolution is compared to the newly suggested streamline solution, demonstrating that the streamline approach increases computational performances by a factor ranging from hundred to thousand depending on the complexity of the grid-block model. |
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0304-386x |
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THL @ christoph.kuells @ kurmanseiit_streamline-based_2023 |
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190 |
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Kumar, V.; Setia, R.; Pandita, S.; Singh, S.; Mitran, T. |
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Title |
Assessment of U and As in groundwater of India: A meta-analysis |
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Journal Article |
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2022 |
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Chemosphere |
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303 |
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135199 |
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Arsenic, Geology, Groundwater, Health risk, Soil texture, Uranium |
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More than 2.5 billion people depend upon groundwater worldwide for drinking, and giving quality water has become one of the great apprehensions of human culture. The contamination of Uranium (U) and Arsenic (As) in the groundwater of India is gaining global attention. The current review provides state-of-the-art groundwater contamination with U and As in different zones of India based on geology and soil texture. The average concentration of U in different zones of India was in the order: West Zone (41.07 μg/L) \textgreater North Zone (37.7 μg/L) \textgreater South Zone (13.5 μg/L)\textgreater Central Zone (7.4 μg/L) \textgreater East Zone (5.7 μg/L) \textgreaterSoutheast Zone (2.4 μg/L). The average concentration of As in groundwater of India is in the order: South Zone (369.7 μg/L)\textgreaterCentral Zone (260.4 μg/L)\textgreaterNorth Zone (67.7 μg/L)\textgreaterEast Zone (60.3 μg/L)\textgreaterNorth-east zone (9.78 μg/L)\textgreaterWest zone (4.14 μg/L). The highest concentration of U and As were found in quaternary sediments, but U in clay skeletal and As in loamy skeletal. Results of health risk assessment showed that the average health quotient of U in groundwater for children and adults was less than unity. In contrast, it was greater than unity for As posing a harmful impact on human health. This review provides the baseline data regarding the U and As contamination status in groundwater of India, and appropriate, effective control measures need to be taken to control this problem. |
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0045-6535 |
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THL @ christoph.kuells @ kumar_assessment_2022 |
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161 |
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Külls, C.; Jobin, J.; Weiler, M. |
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Environmental analytics for water carbon management: enable WCM: Schlussbericht |
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2015 |
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Albert Ludwigs Universität, Professur für Hydrologie |
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THL @ christoph.kuells @ Kuells2015environmental |
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65 |
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Külls, C.; Nunes, A.; Köbel-Batista, M.; Branquinho, C.; Bianconi, N.; Costantini, E. |
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Integrated use of soil physical and water isotope methods for ecohydrological characterization of desertified areas |
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2014 |
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EGU Geophysical Abstracts |
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15430 |
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THL @ christoph.kuells @ Kuells2014integrated |
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46 |
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Külls, C. |
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Ecohydrological principles in economic models of water resources in drylands and desert restoration |
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Miscellaneous |
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2014 |
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UNCCD, 2nd Scient. Conf. |
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THL @ christoph.kuells @ Kuells2014ecohydrological |
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68 |
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