Department of Earth Sciences, Faculty of Sciences, University of Stellenbosch, Private Bag X1, Matieland, 7601, South Africa.
Isotope Climatology and Environmental Research Centre (ICER), Institute for Nuclear Research, H-4026, Debrecen, Bem tér 18/c, Hungary.
J Environ Radioact. 2021 Jan;226:106354. doi: 10.1016/j.jenvrad.2020.106354. Epub 2020 Oct 9.
Tritium, the radioactive isotope of hydrogen, has been used to understand groundwater recharge processes for decades. The current variation of tritium in the atmosphere is largely attributed to stratospheric production and fall out rates as well as global circulation phenomena controlling the hydrological cycle. Global controls on the variability in atmospheric tritium activity are poorly suited to explain local variation and tritium activities in precipitation are often assumed to be uniform over both local and regional catchments and watersheds. This assumption can result in both over and under estimation of modern recharge within an aquifer when using tritium as the recharge proxy. In order to minimize the inherent prediction residuals associated with tritium based recharge investigations, the variability of tritium in precipitation was modelled from 127 spatial precipitation samples taken over a two year period, combined with a 76 precipitation sample group-set taken over a one year period in a single location. Precipitation events were traced backward in time, from the point of collection, using HYSPLIT modelling to ascertain the origins of moisture content as well as the altitudes of moisture origin reached along the particle track. Tritium activities, collected over a one year period in Paarl, range from 0.45 to 4.16 TU and have a mean of 1.59 TU. Spatial storm events in the Western Cape in 2017 and 2018 had a range from 0 to 2.2 and 0.37 to 3.27 TU, respectively, with mean activities of 1.18 (n = 34) and 1.25 TU (n = 32). Both storm events had similar tritium variability (σ = 0.5 n = 35 and 0.48 n = 32). Regional precipitation events had the largest range of tritium activities (0.55-12.2 TU). Although not all tritium activities can be explained by interrogating the water mass origin, this study suggests that approximately 90% of events can be completely or partially attributed to the origin of the water mass. The variability of tritium, both spatially and temporally, was higher than expected, confirming that when uniform tritium inputs are used, the groundwater system would provide inaccurate modern recharge estimates. Higher spatial resolution of tritium variation in precipitation for a particular region will improve our ability to relate tritium activities in groundwater to local precipitation.
氚,氢的放射性同位素,几十年来一直被用于了解地下水补给过程。目前大气中氚的变化主要归因于平流层的产生和沉降率以及控制水文循环的全球循环现象。全球对大气中氚活度变化的控制不适合解释局部变化,降水的氚活度通常被认为在局部和区域集水区和流域内是均匀的。当使用氚作为补给示踪剂时,这种假设会导致含水层中现代补给的高估和低估。为了最大限度地减少基于氚的补给调查中固有的预测残差,对过去两年期间采集的 127 个空间降水样本和一个地点采集的一个为期一年的 76 个降水样本组进行了降水氚变异性建模。使用 HYSPLIT 模型将降水事件回溯到收集点的时间,以确定水分来源以及沿粒子轨迹到达的水分来源高度。在帕尔采集的一年时间内收集的氚活度范围为 0.45 至 4.16 TU,平均值为 1.59 TU。2017 年和 2018 年西开普省的空间风暴事件范围分别为 0 至 2.2 和 0.37 至 3.27 TU,平均活度分别为 1.18(n=34)和 1.25 TU(n=32)。两个风暴事件的氚变异性相似(σ=0.5 n=35 和 0.48 n=32)。区域降水事件的氚活度范围最大(0.55-12.2 TU)。尽管并非所有氚活度都可以通过询问水体来源来解释,但本研究表明,大约 90%的事件可以完全或部分归因于水体来源。氚的时空变异性高于预期,这证实了当使用均匀的氚输入时,地下水系统将提供不准确的现代补给估计。特定区域降水氚变化的更高空间分辨率将提高我们将地下水氚活度与当地降水联系起来的能力。