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Sensitivity analysis of uranium speciation modeling in groundwater systems with a focus on mobility.

机译:地下水系统中铀形态形成模型的敏感性分析,重点是流动性。

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摘要

This research is designed to show the relative effects of inorganic chemical perturbations, as well as the effects of humic/fulvic acids, mineral and bacterial sorption and temperature (to a limited extent), with a focus on uranium solubility, by performing a sensitivity analysis using Geochemist's Workbench, a commercially available chemical equilibrium software package.;Four groundwater systems of interest were selected upon which to perform the sensitivity analysis: the Yucca Mountain (YM) J-13 well water system (Harrar, et al., 1990), the mean well water system from the Simpsonville, SC (SSC) area (Woodruff, 2002), the Savannah River National Laboratory (SRNL) F-Area groundwater system, and Idaho National Engineering and Environmental Laboratory (INEEL) Snake River aquifer system (Ayaz, et al., 2000). The results of the sensitivity analysis are presented in terms of metrics called the uranium ratio (UR) and the sensitivity index (SIUR), defined as follows: UR=Uaqmol Utotmol and SIUR=URmin -URmaxURbaseline Where: URmin=UR at the minimum constraint concentration evaluated URmax=UR at the maximum constraint concentration evaluated URbaseline=UR at the baseline for the system The discussion of the results of the sensitivity analysis focuses on the relative effect varying a given constraint has on the system, defined as follows: significant or major effects (SIUR ≥ 1), moderate effects (0.1 ≤ SIUR 1), minor effects (0.01 ≤ SIUR 0.1%), no apparent effects (SIUR 0.01%).;The sensitivity analysis of the YM solubility controlled system indicated that aqueous carbonate concentrations dictated UR to a large extent. Phosphate and strontium, both of which were not included in the basis, were indicated to be of potential significance to uranium solubility in this system. Temperature also seems to have a strong role in uranium solubility in this system. Interestingly, pH seemed to have little effect on the UR. The presence, concentration and composition of the organic acid simulant appeared to be of little concern.;The solubility controlled SSC system precipitated Soddyite and Quartz in the baseline case at equilibrium indicating oversaturation of silicon and uranium in the natural groundwater. Similarly to the YM system, carbonate seemed to dominate the uranium solubility of the system, but silicon and temperature also had significant effects. The presence, concentration and composition of organic acids in this system could effect aqueous uranium concentrations by as much as 20--30%.;The SRNL system was modeled under both solubility and sorption controlled assumptions. The solubility controlled SRNL system was impressively unresponsive to physical, inorganic and organic constraint variations across the tested range, giving strong evidence that this system is indeed sorption controlled. Both pH and total uranium concentration exerted strong effects in the sorption controlled system, illustrating the importance of availability of sorption sites relative to the amount of uranium in solution. Other constraints, surprisingly including carbonate, had relatively little effect. The presence, concentration and composition of organic acids had little effect. Bacterial sorption was shown to have a significant potential to affect the aqueous uranium concentration in this system, especially as the total uranium in the system was reduced.;The sorption controlled INEEL system showed much more sensitivity than did the SRNL system, and seemed to be significantly (> 10%) effected by the variation of HCO3-, pH, pe, Na+, Ca2+, SO42-, Cl-, and Mg2+ in both the mineral-only and mineral-bacterial cases. The UR in this system was not shown to be sensitive to the presence, concentration or composition of organic acids. The mineral-only and mineral-bacterial sorption controlled systems behaved nearly identically. (Abstract shortened by UMI.)
机译:这项研究旨在通过进行敏感性分析来显示无机化学扰动的相对影响,以及腐殖酸/黄腐酸,矿物质和细菌的吸附以及温度(在一定程度上)的影响(在一定程度上),重点是铀的溶解度。使用Geochemist's Workbench(一种可商购的化学平衡软件包);选择了四个感兴趣的地下水系统以进行敏感性分析:Yucca Mountain(YM)J-13井水系统(Harrar等,1990),南卡罗来纳州辛普森维尔(SSC)地区(Woodruff,2002)的平均井水系统,萨凡纳河国家实验室(SRNL)F-Area地下水系统和爱达荷州国家工程与环境实验室(INEEL)蛇河含水层系统(Ayaz等人,2000)。灵敏度分析的结果以称为铀比率(UR)和灵敏度指数(SIUR)的度量标准表示,定义如下:UR = Uaqmol Utotmol和SIUR = URmin -URmaxURbaseline其中:URmin = UR(最小约束)浓度评估为最大约束条件下的URmax = UR浓度评估为系统基线的基线URbaseline = UR敏感性分析结果的讨论着重于改变给定约束条件对系统的相对影响,定义如下:有效或重大YM溶解度控制系统的灵敏度分析表明:(SUR≥1),中度(0.1≤SIUR <1),轻微影响(0.01≤SIUR <0.1%),没有明显的影响(SIUR <0.01%)。碳酸盐水溶液的浓度在很大程度上决定了UR。磷酸盐和锶均未包括在基础中,对铀在该系统中的溶解度具有潜在意义。在该系统中,温度似乎也对铀的溶解度具有重要作用。有趣的是,pH似乎对UR几乎没有影响。有机酸模拟物的存在,浓度和组成似乎无关紧要。溶解度控制的SSC系统在基线情况下在平衡状态下沉淀出Soddyite和Quartz,表明天然地下水中硅和铀的过饱和。与YM系统相似,碳酸盐似乎在系统的铀溶解度中占主导地位,但是硅和温度也有重要影响。该体系中有机酸的存在,浓度和组成对铀水溶液的影响可达20--30%。SRNL系统是在溶解度和吸附控制的假设下建模的。溶解度控制的SRNL系统在整个测试范围内对物理,无机和有机限制因素的变化均无响应,这有力证据表明该系统确实受吸附控制。 pH和总铀浓度在吸附控制系统中都发挥了重要作用,这说明相对于溶液中铀的量,吸附位的可用性非常重要。其他限制因素,令人惊讶的是包括碳酸盐,影响相对较小。有机酸的存在,浓度和组成影响很小。细菌吸附被证明具有显着的潜力来影响该系统中含水铀的浓度,特别是当系统中的总铀减少时。吸附控制的INEEL系统显示出比SRNL系统更高的灵敏度,并且似乎在纯矿物和矿物细菌的情况下,HCO3-,pH,pe,Na +,Ca2 +,SO42-,Cl-和Mg2 +的变化都会显着影响(> 10%)。未显示该系统中的UR对有机酸的存在,浓度或组成敏感。仅矿物和矿物细菌的吸附控制系统的行为几乎相同。 (摘要由UMI缩短。)

著录项

  • 作者

    Scott, Andrew Lee.;

  • 作者单位

    Clemson University.;

  • 授予单位 Clemson University.;
  • 学科 Environmental Geology.;Chemistry Radiation.;Engineering Environmental.;Geochemistry.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 463 p.
  • 总页数 463
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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