AN EXERCISE IN GROUND‐WATER MODEL CALIBRATION AND PREDICTION
Author:
- 1 May 1988
- journal article
- research article
- Published by Wiley in Groundwater
- Vol. 26 (3) , 350-360
Abstract
For a classroom exercise, nine groups of graduate students calibrated a numerical ground‐water flow model to a set of perfectly observed hydraulic head data for a hypothetical phreatic aquifer. All groups used exactly the same numerical model and identical sets of observed data. After calibration, the students predicted the hydraulic head distribution in the aquifer resulting from a modification in one boundary condition. A quantitative analysis of the results of this calibration‐prediction exercise vividly demonstrates some of the difficulties in parameter identification for ground‐water flow models. Group predictions differed significantly. Successful prediction was strongly correlated with successful estimation of conductivity values, and was essentially unrelated to successful estimation of aquifer bottom elevations or with the number of trial‐and‐error simulations required for calibration. Most importantly, success in prediction was unrelated to success in matching observed heads under premodification conditions. In this sense, good calibration did not lead to good prediction.Keywords
This publication has 12 references indexed in Scilit:
- Comparison of Three Groundwater Modeling StudiesJournal of Water Resources Planning and Management, 1987
- Predictive Accuracy of a Ground–Water Model — Lessons from a PostauditGroundwater, 1986
- Assessment of Long‐Term Salinity Changes in an Irrigated Stream‐Aquifer SystemWater Resources Research, 1985
- A modular three-dimensional finite-difference ground-water flow model1984
- A geostatistical approach to the inverse problem in groundwater modeling (steady state) and one‐dimensional simulationsWater Resources Research, 1983
- Incorporation of prior information on parameters into nonlinear regression groundwater flow models: 2. ApplicationsWater Resources Research, 1983
- Incorporation of prior information on parameters into nonlinear regression groundwater flow models: 1. TheoryWater Resources Research, 1982
- A statistical approach to the inverse problem of aquifer hydrology: 3. Improved solution method and added perspectiveWater Resources Research, 1980
- A statistical approach to the inverse problem of aquifer hydrology: 1. TheoryWater Resources Research, 1979
- Calibration of distributed parameter groundwater flow models viewed as a multiple‐objective decision process under uncertaintyWater Resources Research, 1973