Stochastic Parameter Estimation, Experimental Design, and Reliability Analysis in Groundwater Modeling and ContaminantTransport

地下水建模和污染物输送中的随机参数估计、实验设计和可靠性分析

• 批准号: 9213963
• 负责人: William W-G. Yeh
• 金额: $ 18.84万
• 依托单位: University of California-Los Angeles
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1992
• 资助国家: 美国
• 起止时间: 1992-11-01 至 1995-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9213963&HistoricalAwards=false
• 关键词: Stochastic; Parameter; Estimation; Experimental; Design

The objectives of this research are to develop new inverse solution procedures for the identification of stochastic parameters, and to integrate the developed procedures with experimental design and reliability analysis for the modeling of groundwater flow and contaminant transport. The experimental design problem includes the determination of sampling strategies for the purposes of parameter identification and model prediction. The parameters to be identified include the hydraulic as well as transport parameters embedded in the governing equations. Model parameters are identified using observations of flow and transport under a transient condition as well as the available point estimates of hydraulic conductivity. A criterion will be established for the optimization of the experimental design, such that different sampling strategies can be compared and optimized.

这项研究的目的是开发识别随机参数的新的反解程序，并将所开发的程序与试验设计和可靠性分析相结合，用于地下水流动和污染物运移的建模。实验设计问题包括为了参数识别和模型预测的目的而确定抽样策略。待识别的参数包括嵌入控制方程中的水力参数和输送参数。模型参数是通过对瞬变条件下的流动和输运的观测以及水力传导率的可用点估计来确定的。建立优化试验设计的准则，以便对不同的抽样策略进行比较和优化。