Collaborative Research: Groundwater transit time distributions: bridging the gap between advanced tracer techniques and numerical modeling

合作研究:地下水渡越时间分布:弥合先进示踪技术和数值模拟之间的差距

基本信息

  • 批准号:
    1744719
  • 负责人:
  • 金额:
    $ 38.7万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2018
  • 资助国家:
    美国
  • 起止时间:
    2018-06-01 至 2022-11-30
  • 项目状态:
    已结题

项目摘要

The transit time of groundwater from recharge to discharge into streams is an important control on how quickly contaminants are flushed out of aquifers and into streams. Field studies and groundwater models both indicate that groundwater with a range of transit times contributes to streamflow at any given time. However, field studies suggest the relative contribution of young groundwater (i.e., groundwater with short transit times) to streams is substantially less than calculated in modeling studies. This discrepancy in the groundwater transit time distribution (TTD) leads to a very different understanding of streamflow sources, fundamentally different predictions of the future impact of groundwater discharge on stream water quality, and potentially different perspectives on the design and assessment of efforts to manage non-point-source contamination in aquifers. This project will conduct field measurements and groundwater modeling to investigate differences in groundwater TTDs, and to determine and understand the processes that drive TTD at a range of spatial scales. Results of the project will assist water resources managers, regulators, and consultants to better understand and manage both water quantity and quality. Information will be disseminated through Cooperative Extension programs.The overall goals of this project are to (1) evaluate why there is a discrepancy between TTDs derived from groundwater measurements (field sampling of age-dating tracers) and groundwater models, (2) investigate how these processes may be better understood by using both field measurements and models in nested watersheds at a range of scales (14-3900 km2 in this project) and (3) determine the processes that control the shape of the groundwater TTDs,. This project will be conducted in a watershed overlying the High Plains aquifer in the Nebraska Sandhills, where groundwater accounts for approximately 90% of the annual stream discharge. The TTDs will be determined using age-dating tracers for both young and old groundwater (3H/3He, SF6, 14C, 4He). Groundwater age information will be coupled with discharge measurements in streams and groundwater discharge measurement from tube seepage meters in streambeds. The tracer-based TTDs will be compared to groundwater TTDs derived from particle tracking simulations in a numerical groundwater model (MODFLOW), at both the reach and watershed scale. The model will be used as a tool to investigate differences that arise between tracer- and model-based TTDs. For example, the project will investigate the variation in groundwater recharge relative to the stream channel, and if a higher resolution and more accurate representation of recharge in the model leads to better agreement between field- and model-based TTDs. The model will also be re-calibrated using groundwater age data to evaluate how TTDs compare to field-based estimates after refinement and recalibration. Information will be disseminated through Cooperative Extension programs, including interactive online training materials at www.nebraskawatershedscience.org.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
地下水从补给到排入溪流的过渡时间是控制污染物从含水层排入溪流的速度的重要因素。实地研究和地下水模型都表明,在任何给定的时间,地下水与过境时间的范围内有助于径流。然而,实地研究表明,年轻地下水的相对贡献(即,短时间的地下水)到溪流的流量大大低于模拟研究中的计算值。这种差异在地下水过境时间分布(TTD)导致一个非常不同的理解径流源,根本不同的预测未来的影响地下水排放对河流水质,并可能不同的角度设计和评估的努力,以管理非点源污染的含水层。该项目将进行实地测量和地下水建模,以调查地下水TTD的差异,并确定和理解在一系列空间尺度上驱动TTD的过程。该项目的成果将有助于水资源管理者、监管者和顾问更好地了解和管理水量和水质。信息将通过合作推广计划传播。本项目的总体目标是:(1)评估地下水测量得出的TTD之间存在差异的原因(年龄测定示踪剂的现场取样)和地下水模型,(2)调查如何通过在一系列尺度上使用嵌套流域中的实地测量和模型来更好地理解这些过程(14-3900 km 2在这个项目中)和(3)确定控制地下水TTD形状的过程。该项目将在内布拉斯加州沙丘高地平原含水层上的分水岭进行,地下水约占年径流量的90%。将使用年龄测定示踪剂(3 H/3 He、SF6、14 C、4 He)测定新老地下水的TTD。地下水年龄信息将与溪流中的流量测量和河床中的管式渗透计的地下水流量测量相结合。基于示踪剂的TTD将进行比较,地下水TTD来自粒子跟踪模拟的数值地下水模型(MODFLOW),在达到和流域尺度。该模型将被用作一种工具,以调查示踪剂和基于模型的TTD之间出现的差异。例如,该项目将调查地下水补给相对于河道的变化,以及模型中更高的分辨率和更准确的补给表示是否会导致基于实地和模型的TTD之间更好的一致性。该模型还将使用地下水年龄数据重新校准,以评估TTD如何与改进和重新校准后的实地估计进行比较。 信息将通过合作推广计划传播,包括www.nebraskawatershedscience.org上的互动式在线培训材料。该奖项反映了NSF的法定使命,并被认为值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估来支持。

项目成果

期刊论文数量(3)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
An Automated Seepage Meter for Streams and Lakes
溪流和湖泊的自动渗流计
  • DOI:
    10.1029/2019wr026983
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    5.4
  • 作者:
    Solomon, D. Kip;Humphrey, Eric;Gilmore, Troy E.;Genereux, David P.;Zlotnik, Vitaly
  • 通讯作者:
    Zlotnik, Vitaly
Streambed Flux Measurement Informed by Distributed Temperature Sensing Leads to a Significantly Different Characterization of Groundwater Discharge
分布式温度传感提供的河床通量测量导致地下水排放的特征显着不同
  • DOI:
    10.3390/w11112312
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    3.4
  • 作者:
    Gilmore, Troy E.;Johnson, Mason;Korus, Jesse;Mittelstet, Aaron;Briggs, Marty A.;Zlotnik, Vitaly;Corcoran, Sydney
  • 通讯作者:
    Corcoran, Sydney
Enabling the Application of Large Footprint Open‐Bottom Permeameters Through New Shape Factors
  • DOI:
    10.1029/2020wr029315
  • 发表时间:
    2021-05
  • 期刊:
  • 影响因子:
    5.4
  • 作者:
    V. Zlotnik;K. Cole;M. Cardenas;Anatoly Zlotnik
  • 通讯作者:
    V. Zlotnik;K. Cole;M. Cardenas;Anatoly Zlotnik
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Troy Gilmore其他文献

Troy Gilmore的其他文献

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