Sensitivity analysis techniques for calibration and reduction of environmental models
A recently developed approach is applied for calibration and reduction of a water quality model. The method consists of a combination of the Generalized Likelihood Uncertainty Estimation technique (GLUE) and Global Sensitivity Analysis (GSA). The method is based on multiple model evaluations. The GSA is a quantitative, model independent approach and is based on estimating the fractional contribution of each input factor to the variance of the model output, also accounting for interaction terms. Using GLUE, the model runs are classified according to a likelihood measure, conditioning each run to observations. With GSA, model parameters driving calibration are clearly highlighted, also when strong interaction between parameters is present.
Bibliographic Reference: An oral report given at: Environmental Informatics 2001-the 15th International Symposium. Informatics for Environmental Protection: Sustainability in the Information Society. Held in: Zurich (CH), 10-12 October 2001
Record Number: 200113913 / Last updated on: 2001-10-22
Original language: en
Available languages: en