Collaborative Research: The role of temporally varying specific storage on confined aquifer dynamics

合作研究：随时间变化的特定存储对承压含水层动态的作用

• 批准号: 2242366
• 负责人: Erich Mueller
• 金额: $ 5.64万
• 依托单位: Southern Utah University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-01-15 至 2026-12-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2242366&HistoricalAwards=false
• 关键词: Collaborative; Research; role; temporally; varying

Access to clean drinking water continues to be a growing concern as climate change, population growth and industrialization increase the prevalence of water scarcity. In response to dwindling surface water supply, many regions turn to water from porous rocks or sediments known as aquifers that hold most of the world’s liquid freshwater. Confined aquifers, which are typically deep and pressurized, hold the majority of freshwater in the world’s aquifers. Predicting whether water storage in a confined aquifer will increase, decrease, or remain constant given variations in human activity such as pumping, and climate change is critical for preserving aquifers for future use, but has been challenging to estimate. Changes in confined aquifer storage are typically estimated by a parameter known as storativity, which is obtained by multiplying changes in water levels measured in wells. In this project, the researchers will determine how storativity changes over space and time, and how accurate estimation of storativity can help scientists and engineers to accurately estimate aquifer storage, and improve our ability to effectively manage groundwater use. In confined aquifers, storativity can vary significantly over time, leading to inaccurate predictions in traditional groundwater models if the storativity is assumed constant. The compaction of clay layers, which can be observed from satellites, causes changes in storativity. If clays are present, assuming that storativity is constant can lead to overly optimistic estimates of aquifer recharge which, if implemented in management practices, could result in rapid aquifer depletion. In this research, the investigators will develop groundwater models for the Parowan Valley in Utah, a region with well-constrained groundwater use, and that shares similarities with other high-use aquifers of the world. They will develop two types of models, (1) traditional models that assume constant storativity, and (2) more robust models that allow storativity to vary with time and compare the model performance against well measurements and satellite data. Through this research, scientists will quantify the effect that time-varying storativity has on aquifer storage, and contribute to improving estimates of recharge and aquifer parameters such as hydraulic conductivity. During the project, they will collaborate and work with community stakeholders, and train graduate and undergraduate students in both research and science communication.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.

随着气候变化、人口增长和工业化加剧了水资源短缺的问题，获得清洁饮用水仍然是一个日益受到关注的问题。为了应对地表水供应的减少，许多地区转向从含水层（含水层）中取水。世界液态淡水的含水层通常很深且受压，保存着世界含水层中的大部分淡水。考虑到抽水等人类活动的变化，含水层的含水量会减少或保持不变，而气候变化对于保护含水层以供未来使用至关重要，但限制含水层储量的变化通常是通过称为储水性的参数来估计的。通过乘以井中测量的水位变化而获得。在这个项目中，研究人员将确定蓄水性如何随空间和时间变化，以及蓄水性的准确估计如何帮助科学家和工程师准确估计含水层蓄水量，并提高我们的能力。在承压含水层中，储水性会随着时间的推移而发生显着变化，如果假设储水性恒定，则导致传统地下水模型的预测不准确。可通过卫星观测到的粘土层的压实会导致储水性发生变化。如果存在粘土，假设储水性恒定可能会导致对含水层补给的过度乐观估计，如果在管理实践中实施，可能会导致含水层快速枯竭。将为犹他州的帕罗万山谷开发地下水模型，该地区的地下水使用受到严格限制，并且与世界上其他高使用率含水层有相似之处。他们将开发两种类型的模型，（1）假设恒定的传统模型。存储性，以及（2）更强大的模型，允许存储性随时间变化，并将模型性能与井测量和卫星数据进行比较，通过这项研究，科学家将量化随时间变化的存储性对含水层存储的影响。致力于改进补给和含水层参数（例如水力传导率）的估计。在项目期间，他们将与社区利益相关者合作，并培训研究生和本科生的研究和科学交流。该奖项反映了 NSF 的法定使命，并被视为是。值得通过使用基金会的智力优点和更广泛的影响审查标准进行评估来支持。