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Investigating the scales of sustainability in groundwater extraction

Investigating the scales of sustainability in groundwater extraction
调查地下水开采的可持续性规模
批准号:
1806383
负责人:
Katherine Markovich
金额:
$17.4万
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
项目状态:
已结题
起止时间:
2018-09-01 至 2022-08-31

项目摘要

项目成果

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中文摘要
翻译
凯瑟琳·H·马科维奇获得了美国国家科学基金会EAR博士后奖学金,在亚利桑那大学开展研究和教育计划。这项研究的主要目标是调查地下水年龄与可持续性的关系。这两者经常被混为一谈,但还没有一项机械研究将抽水井中遇到的地下水年龄分布与该井取水的可持续性联系起来。这项工作将把图森市的利益攸关方,如水资源管理者、当地社区、城市居民和行业代表聚集在一起,建立共同商定的地下水可持续性参数,例如可接受的透支空间和时间规模。将结合用于估计停留时间的年龄示踪剂和综合水文模型来探索这一利益攸关方参与的结果。这项研究对于利用先进的建模和测年技术将地下水年龄与可持续性联系起来,以及促进国民健康和福利具有重要意义,因为获得清洁水对美国半干旱和干旱地区社区的繁荣至关重要。多个年龄示踪剂将与复杂的综合水文模型联系起来,以图森区域含水层系统为例,探索地下水开采的流动路径和储存反应的全部空间和时间尺度。将对提取井进行采样,以寻找常见的测年示踪剂(氚-氦和碳-13),以分别估计图森提取井中遇到的年轻水和老年水的比例,并使用一种新型示踪剂(Argon-39)来估计中期年龄比例。这三种示踪剂的结合将揭示形成一口井的流动路径的更完整的分布,从而提供对区域含水层系统的补给和水文地质特征的洞察。这些结果将用于通过粒子跟踪代码(EcoSLIM)验证图森地区的综合水文模型(ParFlow-CLM)。这一步骤将产生一个模型,该模型捕捉到了对图森开采井起作用的主要流动系统。之后的模型将被用来探索地下水年龄和可持续性之间的关系,并在气候变化和人口增长的情况下预测这种关系。这一结果将填补我们在使用非重叠年龄示踪剂对水井流动路径分布的理解方面的空白,并将这些结果与复杂的区域含水层模型联系起来,该模型包括高地补给和贡献区。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
Katherine H. Markovich has been granted an NSF EAR Postdoctoral Fellowship to carry out research and education plans at the University of Arizona. The key goal of the research is to investigate the relationship of groundwater age and sustainability. The two have often been conflated, but there has yet to be a mechanistic study linking the distributions of groundwater age encountered in a pumping well with the sustainability of extracting water from that well. This work will bring together stakeholders in Tucson such as water managers, native communities, urban residents, and industry representatives to establish mutually agreed upon parameters for groundwater sustainability, such as acceptable spatial and temporal scale of overdraft. The results of this stakeholder engagement will be explored using a combination of age tracers for residence time estimation and integrated hydrologic modeling. The study is important in linking groundwater age to sustainability using advanced modeling and age-dating techniques, as well as to advance national health and welfare, since access to clean water is paramount for the prosperity of communities in semi-arid and arid regions of the United States. Multiple age tracers will be linked with a sophisticated integrated hydrologic model to explore the full spatial and temporal scales of flow path and storage response to groundwater extraction, using the Tucson regional aquifer system as a case study. Extraction wells will be sampled for common age-dating tracers (Tritium-Helium and Carbon-13) to estimate the fraction of young and old water encountered in Tucson extraction wells, respectively, using a novel tracer (Argon-39) to estimate the intermediate age fraction. The integration of these three tracers will reveal a more complete distribution of flow paths contributing to a well, and thus provide insight as to the recharge and hydrogeologic characteristics of the regional aquifer system. These results will be used to validate an integrated hydrologic model (ParFlow-CLM) of the Tucson area via a particle tracking code (EcoSLIM). This step will result in a model that captures the dominant flow systems contributing to Tucson extraction wells. The posterior model will then be used to explore the relationship between groundwater age and sustainability, and project this relationship forward under climate change and population growth scenarios. This result will fill in the gaps in our understanding of flow path distributions to wells using non-overlapping age tracers and link those results to a sophisticated regional aquifer model that includes the upland recharge and contributing areas.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.
期刊论文(5)
专著(0)
科研奖励(0)
会议论文
Parsing Routes to Aquifer Recharge Along Mountain Fronts
解析沿山前含水层补给的路线
DOI: 10.1029/2021eo154358
发表时间: 2021
期刊: Eos
影响因子: --
作者: [Cook, Terri]
通讯作者: Cook, Terri
DOI: 10.1029/2020wr027743
发表时间: 2020-12
期刊: Water Resources Research
影响因子: 5.4
作者: [K. Markovich;L. Condon;K. Carroll;R. Purtschert;J. McIntosh]
通讯作者: K. Markovich;L. Condon;K. Carroll;R. Purtschert;J. McIntosh
DOI: 10.1029/2020wr027714
发表时间: 2020-10
期刊: Water Resources Research
影响因子: 5.4
作者: [G. Rapp;L. Condon;K. Markovich]
通讯作者: G. Rapp;L. Condon;K. Markovich
海外基金