Experimental Design for Parameter Estimation in Groundwaterby William W-G. Yeh, Univ of California Los Angeles, United States,
Abstract: Model parameters have to be estimated from historical input-output observations using inverse procedures of parameter identification. Unfortunately, because of the limitation of the quantity and quality of data (observations), the inverse problem is often ill-posed. The ill-posedness of the inverse problem is generally characterized by the problems of non-uniqueness and instability of the inverse solutions. This paper examines the problem of experimental design in a distributed parameter, groundwater system. The experimental design addresses the critical issue of data requirements and optimal sampling strategies for parameter estimation. A certain criterion must be established for the experimental design. This paper reviews the fundamental concept of optimum experimental design in groundwater systems.
Subject Headings: Parameters (statistics) | Groundwater | Optimization models | Hydraulic design | Flow distribution | Water flow
Services: Buy this book/Buy this article
Return to search