Optimal Estimation and Control in Aquifer Remediation with Incomplete Information

本项目的目的是设计一种新的方法 用于预测泵送程序使用的效果 净化含水层将对水质产生影响， 含水层中的水。 在此开发的方法 该项目结合了溶质运移的模拟模型， 命运，空间变异性的描述，概率 不确定性分析和优化。 拟议 算法预计将用于同时 估计含水层参数， 威尔斯的位置和抽水速度。 受 对决策变量和可靠性的约束 满足水质标准，该方法有望 为了优化目标函数，同时平衡 模型和参数不确定性的影响。 一个新 开发的估算方法将被纳入 优化算法，以提高性能 估计。 该项目的成果预计将提供一个 确定含水层影响的方法 修复程序将对水质产生影响， 蓄水层 这将包括查明 工程设计前需要的附加信息 补救程序的设计可能涉及 注入和回灌系统，并辅以上述- 地面或原地化学或生物处理 程序.

The objective of this project is to devise a newly method for prediction of the effects that pumping procedures used to decontaminate aquifers will have on the quality of water in the aquifer. The method being developed in this project combines simulation models of solute transport and fate, descriptions of spatial variability, probabilistic analysis of uncertainty, and optimization. The proposed algorithm is expected to be used to simultaneously estimate the aquifer parameters in making decisions on the location of wells and rate of pumping. Subject to constraints on decision variables and on reliability of meeting water quality standards, this method gives promise for optimizing the objective function while balancing the effects of model and parameter uncertainties. A newly developed estimation method will be incorporated in the optimization algorithm to improve the performance of estimation. Results of this project are expected to provide an approach for determination of the effects that aquifer remediation procedures will have on quality of water in the aquifer. This will include the identification of additional information that is needed before engineering design of the remediation procedure which may involve both injection and recharge systems supplemented by above- ground or in situ chemical or biological treatment procedures.