首页> 外文期刊>Journal of environmental monitoring: JEM >Uranium speciation in moorland river water samples: A comparison of experimental results and computer model predictions
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Uranium speciation in moorland river water samples: A comparison of experimental results and computer model predictions

机译:荒地河水样品中铀的形态分析:实验结果与计算机模型预测的比较

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An on-line method has been developed for separating inorganic and organic bound uranium species present in river water samples. The method utilised a small chelating resin (Hyphan) column incorporated into the sample introduction manifold of an ICP-MS instrument. The method was evaluated for samples from rivers on Dartmoor (Devon, UK), an area of granite overlain with peat bogs. The results indicate that organic-uranium species form a major proportion (80%) of the total dissolved uranium present. Further work with synthetic water samples indicated that the level of dissolved organic carbon played a greater role in determining the level of organic-uranium species than did sample pH. Computer models for the water samples were constructed using the WHAM program (incorporating uranium data from the Nuclear Energy Agency Thermochemical Database project) in order to predict the levels of organic-uranium species that would form. By varying the proportion of humic and fulvic acids used in the humic component, predictions within 10% of the experimental results were obtained. The program did exhibit a low bias at higher pH values (7.5) and low organic carbon concentrations (0.5 mug ml~(-1)), but under the natural conditions prevalent in the Dartmoor water samples, the model predictions were successful.
机译:已经开发了一种在线方法,用于分离河水样品中存在的无机和有机结合铀。该方法利用了一个小的螯合树脂(Hyphan)色谱柱,该色谱柱被合并到ICP-MS仪器的样品引入歧管中。对Dartmoor(英国德文郡)河流上的样品进行了评估,该地区是一块覆盖着泥炭沼泽的花岗岩地区。结果表明,有机铀物质占溶解铀总量的主要部分(80%)。合成水样品的进一步研究表明,溶解有机碳的含量在确定有机铀物种含量方面比样品pH值发挥更大的作用。使用WHAM程序(结合了核能局热化学数据库项目中的铀数据)构建了水样品的计算机模型,以便预测将形成的有机铀物种的水平。通过改变腐殖酸组分中腐殖酸和富里酸的比例,可以得到实验结果的10%以内的预测值。该程序在较高的pH值(7.5)和较低的有机碳浓度(0.5马克杯(-1))时确实表现出较低的偏差,但是在Dartmoor水样品中普遍存在的自然条件下,模型预测是成功的。

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