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Experimental Design for Parameter Estimation in Groundwater

by William W-G. Yeh, Univ of California Los Angeles, United States,



Document Type: Proceeding Paper

Part of: Soil Properties Evaluation from Centrifugal Models and Field Performance

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 | Mathematical models | Water sampling | Water flow | Mathematics

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