Quality Systems: Optimization of Experimental Design for Groundwater Supply and Theory and Field Validation

这项建议的目的是进行理论工作 耦合地下水试验设计问题 供水和水质系统，并评估已开发的 设计方法，通过进行改进的泵测试， 博登含水层，其水力和物质输送 其他实地研究已经确定了参数。 实验设计问题包括确定 最佳实验条件估计的 地下水水力和物质运移参数 系统. 实验条件确定了位置， 地下水抽水或补给的时间和规模， 观测威尔斯在含水层系统中的位置， 实验的采样频率和持续时间。 的 实验条件，这是基于成本，可靠性， 和可识别性标准，设计，从管理 和预测的角度，以提供最佳的信息， 参数估计，因此，最小化病态- 识别过程的适定性。 实验室和 实地任务预计将加深对吸附剂的理解， 几种有机溶质的博登含水层特征 (for这些广泛的运输数据已经可用），以及 然后在博登含水层中进行修改后的抽水试验， 注入无机示踪剂和有机溶质。 修改后的泵测试将被设计为最佳估计 水力和物质传输参数的变化。 设计 然后将通过比较估计的参数进行评估 其他领域和实验室研究确定的那些。 这项研究的结果预计将有助于 确定液压和质量的可识别性标准 传输参数，与监控相关的权衡 网络成本和可靠性，并提供基线信息 地下水监测的设计和运行 网络.

The objective of this proposal are to conduct theoretical work on the experimental design problem in coupled groundwater supply and water quality systems, and to evaluate the developed design methodology by conducting modified pump tests in the Borden aquifer, for which the hydraulic and mass transport parameters have already been determined by other field studies. The experimental design problem includes the determination of the optimal experimental conditions for estimation of the hydraulic and mass transport parameters in groundwater systems. The experimental conditions define the location, timing and magnitude of groundwater pumping or recharge, the location of observation wells in the aquifer system, and the sampling frequency and duration of the experiment. The experimental conditions, which are based on cost, reliability, and identifiability criteria, are designed, from a management and prediction perspective, to provide optimal information for parameter estimation, and as a result, minimize the ill- posedness of the identification process. The laboratory and field tasks are expected to refine understanding of the sorptive characteristics of the Borden aquifer for several organic solutes (for which extensive transport data are already available), and then implement a modified pump test in the Borden aquifer in which inorganic tracers and the organic solutes are injected. The modified pump test will be designed for optimal estimation of the hydraulic and mass transport parameters. The design will then be evaluated by comparing the estimated parameters to those determined by other field and laboratory studies. Results of this research are expected to be useful in determining identifiability criteria for hydraulic and mass transport parameters, the trade-offs associated with monitoring network costs and reliability, and provide baseline information for the design and operation of groundwater monitoring networks.