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Robin, V., Beaufort, D., Tertre, E., Reinholdt, M., Fromaget, M., Forestier, S., et al. (2020). Fate of dioctahedral smectites in uranium roll front deposits exploited by acidic In Situ Recovery (ISR) solutions. Applied Clay Science, 187, 105484.
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Schwiede, M., Duijnisveld, W. H. M., & Böttcher, J. (2005). Investigation of processes leading to nitrate enrichment in soils in the Kalahari Region, Botswana. Physics and Chemistry of the Earth, Parts A/B/C, 30(11), 712–716.
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Hu, K., Wang, Q., Tao, G., Wang, A., & Ding, D. (2011). Experimental Study on Restoration of Polluted Groundwater from in Situ Leaching Uranium Mining with Sulfate Reducing Bacteria and ZVI-SRB. Procedia Earth and Planetary Science, 2, 150–155.
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Patel, D., Pamidimukkala, P., & Chakraborty, D. (2024). Groundwater quality evaluation of Narmada district, Gujarat using principal component analysis. Groundwater for Sustainable Development, 24, 101050.
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Tisherman, R. A., Rossi, R. J., Shonkoff, S. B. C., & DiGiulio, D. C. (2023). Groundwater uranium contamination from produced water disposal to unlined ponds in the San Joaquin Valley. Science of The Total Environment, 904, 166937.
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Naghedifar, S. M., Ziaei, A. N., Naghedifar, S. A., & Ansari, H. (2020). A new model for simulation of collection and conveyance sections of Qanat. Journal of Hydrology, 590, 125218.
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Shayakhmetov, N. M., Alibayeva, K. A., Kaltayev, A., & Panfilov, I. (2023). Enhancing uranium in-situ leaching efficiency through the well reverse technique: A study of the effects of reversal time on production efficiency and cost. Hydrometallurgy, 219, 106086.
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Netzer, L., Kurtzman, D., Ben-Hur, M., Livshitz, Y., Katzir, R., & Nachshon, U. (2024). Novel approach to roof rainwater harvesting and aquifer recharge in an urban environment: Dry and wet infiltration wells comparison. Water Research, 252, 121183.
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Haque, N., & Norgate, T. (2014). The greenhouse gas footprint of in-situ leaching of uranium, gold and copper in Australia. Journal of Cleaner Production, 84, 382–390.
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Rossetto, R., Filippis, G. D., Borsi, I., Foglia, L., Cannata, M., Criollo, R., et al. (2018). Integrating free and open source tools and distributed modelling codes in GIS environment for data-based groundwater management. Environmental Modelling & Software, 107, 210–230.
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