Development of River-Stage Tomography for Characterizing Groundwater Basins

用于表征地下水盆地的河流水位层析成像技术的发展

• 批准号: 1014594
• 负责人: Tian-Chyi Yeh
• 金额: $ 46.4万
• 依托单位: University of Arizona
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-10-01 至 2017-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1014594&HistoricalAwards=false
• 关键词: Development; River; Stage; Tomography; Characterizing; Development; River; Stage; Tomography; Characterizing

Jim Tian-Chyi Yeh, Univ. of ArizonaDevelopment of River-State Tomography for Characterizing Groundwater BasinsThe achievable reliability in modeling fluxes and transport in groundwater basins would be greatly enhanced by a practical method for reliable basin-scale aquifer characterization. Where it is not practical to conduct pumping tests to induce stresses throughout a basin stretched over hundreds of square kilometers, the downstream passage of river hydrographs create aquifer stresses that can be used. The large area of influence, frequency of occurrence, and spatial mitigation of the excitation make river stage variation an ideal energy source for use in basin-scale hydraulic tomographic surveys to map aquifer heterogeneity where aquifer responses are monitored. Previous work has demonstrated the viability of a 2D depth-average coupled river and groundwater model for groundwater basin characterization and this new project is now engaged in expanding on this past work to develop a 3D model for aquifer characterization. The approach is being tested and validated through application to the intensely instrumented Cho-Shui River alluvial fan in central western Taiwan. The method starts from an immense amount of data to determine the stress induced by river-stage variation at various locations sequentially and aquifer responses recorded in numerous wells. It then employs a stochastic parameter estimating procedure using geo-statistically-based methodology to estimate parameters for representing a heterogeneous aquifer. The approach imports the tomography paradigm by recognizing that the recurrent nature of temporally and spatially variable precipitation-driven hydrologic processes provides non-fully overlapping information for estimating aquifer hydrogeologic parameters. The work is targeted to have broad impacts through greater understanding of the interactions between rivers and groundwater basins that would support water resources management and greater environmental protection through conjunctive water use. Practitioners will also greatly benefit by having a non-invasive technology for characterizing basin hydrologic heterogeneity and the uncertainty associated with the characterization. They will also gain a valuable tool for use in evaluating the effects of climate change on groundwater resources. An effort will be made to publicize and explain the methodology through communications that would facilitate applying these contributions.

吉姆·蒂·奇（Jim Tian-Chyi Yeh），大学。亚利桑那州河州断层扫描的亚利桑那州卫生间开发，用于表征地下水盆地，可通过可靠的盆地规模的含水层表征来大大增强地下水盆地建模和运输的可靠性。 在进行抽水测试以诱导整个盆地的压力不切实际的情况下不切实际，河流水文的下游通道会产生含水层的应力。 巨大的影响力，发生频率和激发的空间缓解使河流变化成为盆地尺度液压层析成像调查的理想能源来绘制含水层的异质性，以监测含水层的反应。 先前的工作表明，用于地下水盆地表征的2D深度耦合河和地下水模型的生存能力，现在这个新项目正在扩大过去的工作，以开发用于含水层表征的3D模型。 该方法通过应用于台湾中部西部的强烈仪器的Cho-Shui河流风扇进行测试和验证。 该方法从大量的数据开始，以确定依次在各个位置在河流变化中引起的应力，并记录在许多井中的含水层反应。 然后，它使用基于地理统计的方法来采用随机参数估计程序来估计代表异质含水层的参数。 该方法通过认识到时间和空间可变的降水驱动的水文过程的复发性质通过估计含水层水文地质参数的非重叠信息来进口层析成像范围。 这项工作的目标是通过对河流与地下水盆地之间的相互作用进行更多的了解，从而产生广泛的影响，这些河流将通过连接用水来支持水资源管理和更大的环境保护。 从业者还将通过拥有一种非侵入性技术来表征盆地水文异质性以及与表征相关的不确定性，从而极大地受益。 他们还将获得一种有价值的工具，用于评估气候变化对地下水资源的影响。 将努力通过沟通来宣传和解释这种方法，从而有助于应用这些贡献。