Suppr超能文献

利用年代际氚变化评估基流停留时间。

Utilization of decadal tritium variation for assessing the residence time of base flow.

作者信息

Rose S

机构信息

Department of Geosciences, Georgia State University, P.O. Box 4105, Atlanta, GA 30302-4105, USA.

出版信息

Ground Water. 2007 May-Jun;45(3):309-17. doi: 10.1111/j.1745-6584.2006.00295.x.

Abstract

An iterative algorithm is presented that allows the user to model the subsurface residence time of shallow ground water comprising stream base flow based on decadal scale variation of tritium concentrations. The algorithm accounts for the effects of radioactive decay, the shallow subsurface mixing of ground water with precipitation, and ground water flux. The inverse of the best-fitting modeled flux through the saturated zone is equivalent to the residence time. The data required for this model include at least two measurements of tritium in base flow for a given stream location made at least a decade apart and the long-term tritium input in precipitation for the region of interest. The model is sensitive to relatively small changes in tritium concentrations and is limited by analytic uncertainties to an accuracy of approximately +/-5 years. The algorithm was applied to stream base flow for several basins in the Piedmont Province of Georgia in which tritium concentrations were measured during the early 1990s and again in the 2000s. The model results produced highly concordant residence times for three hydrogeologically similar basins in the Upper Ocmulgee Basin in North Central Georgia. The best estimate of the average residence time for ground water comprising base flow in this Piedmont basin using this new method is between approximately 14 and 18 years. These results are generally consistent with calculations made in previous studies, and these relatively long residence times can be attributed to the storage of water in the clay soils that dominate Piedmont Province watersheds.

摘要

本文提出了一种迭代算法,该算法可让用户根据氚浓度的年代际变化,对包含河流基流的浅层地下水的地下停留时间进行建模。该算法考虑了放射性衰变、浅层地下水与降水的混合以及地下水通量的影响。通过饱和带的最佳拟合模拟通量的倒数等同于停留时间。该模型所需的数据包括在给定河流位置至少相隔十年进行的至少两次基流中氚的测量值,以及感兴趣区域降水中的长期氚输入量。该模型对氚浓度的相对小变化敏感,并且受分析不确定性的限制,精度约为±5年。该算法应用于佐治亚州皮埃蒙特省几个流域的河流基流,在20世纪90年代初和21世纪再次测量了这些流域的氚浓度。该模型结果为佐治亚州中北部上奥克姆尔吉流域三个水文地质相似的流域产生了高度一致的停留时间。使用这种新方法对该皮埃蒙特流域包含基流的地下水平均停留时间的最佳估计约为14至18年。这些结果与先前研究中的计算结果总体一致,并且这些相对较长的停留时间可归因于皮埃蒙特省流域中占主导地位的粘土土壤中的水储存。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验