Optimal Estimation and Control in Aquifer Remediation with Incomplete Information

该项目的目的是设计一种新的方法来预测用于净化含水层的抽水程序对含水层水质的影响。在这个项目中开发的方法结合了溶质输运和命运的模拟模型、空间变异性的描述、不确定性的概率分析和优化。该算法有望用于同时估计含水层参数，以决定井的位置和抽水速率。该方法受决策变量和水质达标可靠性的约束，在平衡模型不确定性和参数不确定性影响的同时，实现了目标函数的优化。在优化算法中引入了一种新的估计方法，以提高估计的性能。预计该项目的结果将为确定含水层修复程序对含水层水质的影响提供一种方法。这将包括确定在修复程序的工程设计之前所需的额外信息，修复程序可能涉及由地上或原位化学或生物处理程序补充的注入和补给系统。

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.