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利用硝酸盐量化岩溶泉含水层中的快速水流。

Using nitrate to quantify quick flow in a karst aquifer.

作者信息

Mahler Barbara J, Garner Bradley D

机构信息

U.S. Geological Survey, Austin, TX 78751, USA.

出版信息

Ground Water. 2009 May-Jun;47(3):350-60. doi: 10.1111/j.1745-6584.2008.00499.x. Epub 2008 Sep 17.

Abstract

In karst aquifers, contaminated recharge can degrade spring water quality, but quantifying the rapid recharge (quick flow) component of spring flow is challenging because of its temporal variability. Here, we investigate the use of nitrate in a two-endmember mixing model to quantify quick flow in Barton Springs, Austin, Texas. Historical nitrate data from recharging creeks and Barton Springs were evaluated to determine a representative nitrate concentration for the aquifer water endmember (1.5 mg/L) and the quick flow endmember (0.17 mg/L for nonstormflow conditions and 0.25 mg/L for stormflow conditions). Under nonstormflow conditions for 1990 to 2005, model results indicated that quick flow contributed from 0% to 55% of spring flow. The nitrate-based two-endmember model was applied to the response of Barton Springs to a storm and results compared to those produced using the same model with delta(18)O and specific conductance (SC) as tracers. Additionally, the mixing model was modified to allow endmember quick flow values to vary over time. Of the three tracers, nitrate appears to be the most advantageous because it is conservative and because the difference between the concentrations in the two endmembers is large relative to their variance. The delta(18)O-based model was very sensitive to variability within the quick flow endmember, and SC was not conservative over the timescale of the storm response. We conclude that a nitrate-based two-endmember mixing model might provide a useful approach for quantifying the temporally variable quick flow component of spring flow in some karst systems.

摘要

在岩溶泉含水层中,受污染的补给会降低泉水水质,但由于其时间变异性,量化泉流量中的快速补给(快速水流)部分具有挑战性。在此,我们研究在双端元混合模型中使用硝酸盐来量化德克萨斯州奥斯汀市巴顿泉的快速水流。对来自补给溪流和巴顿泉的历史硝酸盐数据进行评估,以确定含水层水端元的代表性硝酸盐浓度(1.5毫克/升)和快速水流端元的浓度(非暴雨径流条件下为0.17毫克/升,暴雨径流条件下为0.25毫克/升)。在1990年至2005年的非暴雨径流条件下,模型结果表明快速水流对泉流量的贡献为0%至55%。将基于硝酸盐的双端元模型应用于巴顿泉对一场暴雨的响应,并将结果与使用以δ(18)O和电导率(SC)作为示踪剂的相同模型得出的结果进行比较。此外,对混合模型进行了修改,以使端元快速水流值随时间变化。在这三种示踪剂中,硝酸盐似乎是最具优势的,因为它具有保守性,而且两个端元中的浓度差异相对于其变异性来说很大。基于δ(18)O的模型对快速水流端元内的变异性非常敏感,而SC在暴雨响应的时间尺度上不具有保守性。我们得出结论,基于硝酸盐的双端元混合模型可能为量化某些岩溶系统中泉流量随时间变化的快速水流部分提供一种有用的方法。

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