RAPID: Investigating spatiotemporal groundwater variations in the Wasatch Front using geophysical methods

RAPID：使用地球物理方法研究瓦萨奇锋面的时空地下水变化

• 批准号: 2330162
• 负责人: Fan-Chi Lin
• 金额: $ 5万
• 依托单位: University of Utah
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-06-01 至 2024-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2330162&HistoricalAwards=false
• 关键词: RAPID; Investigating; spatiotemporal; groundwater; variations

This RAPID project focuses on geophysical data collection to capture the runoff and groundwater flows from the anomalous 2023 Spring melt in Northern Utah. This year’s snow depth maximum is greater than 200% of the historical average and comes after more than 20 years of megadrought conditions for the region. The goal is to test the ability of geophysical techniques to capture the physical hydrological processes to improve estimates of the water budget of the Great Salt Lake (GSL) and the ecosystems of its wetlands. Research in the last decade demonstrates that Wasatch Mountain snowpack melts in the spring and is split between soil moisture and groundwater before becoming available as surface water. Geophysical observations can provide independent constraints to the hydrological system. This project aims to demonstrate that the geophysics data are uniquely suited to quantify the amount and time scales of water storage in seasonal snow, soil moisture, groundwater, and ultimately surface water storage in reservoirs and the Great Salt Lake. This project will contribute to a better understanding of the path that water takes from the mountains to the valley and may potentially help to guide decision/policy making for water use and consumption. The project supports undergraduates participating in data collection and analysis. The data collected through this experiment will be archived and made openly available through the SAGE-GAGE facility and the University of Utah data repository.The RAPID project will yield new continuous seismic and episodic gravity and electronic resistivity tomography (ERT) observations at a high spatial resolution that will be used to determine the advantages and limitations of these geophysical techniques for investigating the transport and storage of water in the Wasatch Mountain/Salt Lake Valley hydrological system. Monitoring subsurface seismic velocity changes will allow investigations of groundwater and soil moisture variation. Using gravity along with geodetic surface deformation modeling to determine changes in water mass over different but hydrologically connected (and physically proximal) regimes is a new and potentially valuable technique to monitor water mass transport from the mountains to the valley. ERT monitoring can be used to detect the migration of the fresh/saline interface at the edge of the Great Salt Lake as the snowmelt moves into the valley. By leveraging the complementary sensitivity of the geophysics observations, the proposed project will advance the spatial and temporal resolution of the measurements in the Wasatch Mountains and the Salt Lake Valley. This project is supported by the Geophysics Program, the Hydrological Sciences Program, and the Division of Earth Sciences.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.

该 RAPID 项目的重点是收集地球物理数据，以捕获犹他州北部 2023 年春季异常融化的径流和地下水流量。今年的最大积雪深度超过历史平均水平的 200%，是在经历了 20 多年的特大干旱之后发生的。目标是测试地球物理技术捕获物理水文过程的能力，以改进对大盐湖 (GSL) 及其生态系统的水预算的估计。过去十年的研究表明，瓦萨奇山积雪在春季融化，并在成为地表水之前分解为土壤水分和地下水。该项目旨在证明地球物理学对湿地的影响。数据特别适合量化季节性降雪、土壤湿度、地下水以及最终水库和大盐湖的地表水储存量和时间尺度，该项目将有助于更好地了解水的流动路径。从山上到该项目支持本科生参与数据收集和分析，并将通过 SAGE-GAGE 设施和公开提供。犹他大学数据存储库。RAPID 项目将以高空间分辨率产生新的连续地震和情景重力和电子电阻率层析成像 (ERT) 观测结果，这些观测结果将用于确定这些地球物理技术在研究运输和存储方面的优势和局限性的监测瓦萨奇山/盐湖谷水文系统中的水体，可以利用重力和大地表面变形模型来研究地下水和土壤湿度的变化，以确定不同但水文上相连的水体的变化。 ）机制是一种新的、具有潜在价值的技术，用于监测从山区到山谷的水量输送，ERT 监测可用于检测大盐湖边缘的淡水/咸水界面的迁移。通过利用地球物理观测的互补敏感性，拟议项目将提高瓦萨奇山脉和盐湖谷测量的空间和时间分辨率。该项目得到了地球物理计划、水文项目的支持。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。