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Reactive Transport Modeling Approach and Its Initial Saltcake Dilution Chemical Modeling

机译:反应输运建模方法及其初始盐饼稀释化学模型

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During waste retrieval operations, chemical reactions, waste property changes, and waste movements/mixing interact. Thus, to be accurate, a waste process assessment methodology must account for these physical and chemical waste characteristics and mechanisms. This study was performed by Pacific Northwest National Laboratory (PNNL) to provide suggestions to Florida International and Mississippi State Universities for their column tests and modeling as a part of their efforts to investigate Hanford Tank S-112s saltwell pumping. In addition, PNNL used the GMIN code for chemical modeling of S-112 saltcake dilution with 50% and 100% water as the first step in evaluating the feasibility of the reactive transport code ARIEL as a waste retrieval assessment methodology. The chemical modeling predicted the S-112 saltcake chemistry reasonably well, predicting that about 63% of the saltcake would be dissolved at 50% dilution with water, and 100% would be dissolved at 100% dilution. Although it is too early to conclude the usefulness of this reactive transport modeling approach, it is worth further evaluating its applicability to the waste retrieval processes.

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