Model uncertainty - Parameter uncertainty versus conceptual models

Water Science and Technology

Volumn 52, Issue 6, 2005, Pages 177-186

  Hojberg A L ^a   Refsgaard, J C ^a  

^a GEOLOGICAL SURVEY OF DENMARK AND GREENLAND   (Denmark)

Author keywords

Conceptual uncertainty; Groundwater modelling; Model structure; Monte Carlo simulation; Parameter uncertainty

Indexed keywords

BOUNDARY CONDITIONS; COMPUTER SIMULATION; GROUNDWATER; MATHEMATICAL MODELS; MONTE CARLO METHODS; PARAMETER ESTIMATION;

CONCEPTUAL UNCERTAINTY; GROUNDWATER MODELLING; MODEL UNCERTAINTY; PARAMETER UNCERTAINTY;

HYDROGEOLOGY;

GROUND WATER;

GROUNDWATER FLOW; MODELING; MONTE CARLO ANALYSIS; UNCERTAINTY ANALYSIS;

ANALYTICAL ERROR; ARTICLE; CALIBRATION; COMPARATIVE STUDY; CONTROLLED STUDY; ENVIRONMENT; GEOLOGY; HYDROLOGY; MONTE CARLO METHOD; PREDICTION; SIMULATION; STATISTICAL MODEL; STATISTICAL PARAMETERS; STREAM (RIVER); UNCERTAINTY;

EID: 28244459983     PISSN: 02731223     EISSN: None     Source Type: Journal    
DOI: 10.2166/wst.2005.0166     Document Type: Article

References (17)

1. Beven, K. (2002). Towards a coherent philosophy for modelling the environment. Proceedings of the Royal Society of London Series A-Mathematical Physical and Engineering Sciences, 458(2026), 2465-2484.
2. Beven, K. and Binley, A. (1992). The future of distributed models - model calibration and uncertainty prediction. Hydrological Processes, 6(3), 279-298.
3. Christensen, S. and Cooley, R. (1999). Evaluation of prediction intervals for expressing uncertainties in groundwater flow model predictions. Water Resources Research, 35(9), 2627-2639.
4. Doherty, J. (2002). Model independent parameter estimation (PEST). Manual. Watermark Numerical Computing.
5. Dubus, I., Brown, C. and Beulke, S. (2003). Sources of uncertainty in pesticide fate modelling. Science of the Total Environment, 317(1-3), 53-72.
6. Feyen, L., Ribeiro, J., De Smedt, F. and Diggle, P. (2003). Stochastic delineation of capture zones: classical versus Bayesian approach. Journal of Hydrology, 281(4), 313-324.
7. Glasgow, H., Fortney, M., Lee, J., Graettinger, A. and Reeves, H. (2003). MODFLOW 2000 head uncertainty, a first-order second moment method. Ground Water, 41(3), 342-350.
8. Harrar, W., Sonnenborg, T. and Henriksen, H. (2003). Capture zone, travel time, and solute-transport predictions using inverse modeling and different geological models. Hydrogeology Journal, 11(5), 536-548.
9. Henriksen, H. and Sonnenborg, A. (eds) (2003a). National Water Resources Model. NOVA 2003 Temarapport, Geological Survey of Denmark and Greenland, www.vandmodel.dk.
10. Henriksen, H., Troldborg, L., Nyegaard, P., Sonnenborg, T., Refsgaard, J. and Madsen, B. (2003b). Methodology for construction, calibration and validation of a national hydrological model for Denmark. Journal of Hydrology, 280(1-4), 52-71.
11. Houmark-Nielsen, A. (1987). Pleistocene stratigraphy and glacial history of the central part of Denmark. Bulletin of the geological Society of Denmark, 36, 1-189.
12. James, A. and Oldenburg, C. (1997). Linear and Monte Carlo uncertainty analysis for subsurface contaminant transport simulation. Water Resources Research, 33(11), 2495-2508.
13. McDonald, M. and Harbaugh, A. (1988). A modular three-dimensional finite-difference ground-water flow model: U.S. Geological Survey Techniques of Water-Resources Invetigations, book 6, chap. A1, 586 pp.
14. Neuman, S. and Wierenga, P. (2003). A comprehensive strategy of hydrogeologic modeling and uncertainty analysis for nuclear facilities and sites. University of Arizona, report NUREG/CR-6805, US Nuclear Regulatory Commission.
15. Niras (2002). Udbygning og grovkalibrering af KAM, Milepælsrapport (KAM 30). Asko, PJJ (In Danish).
16. Sonnenborg, T., Christensen, B., Nyegaard, P., Henriksen, H. and Refsgaard, J. (2003): Transient modeling of regional groundwater flow using parameter estimates from steady-state automatic calibration. Journal of Hydrology, 273(1-4), 188-204.
17. Zheng, C. and Wang, P., (1999). MT3DMS: A modular three-dimensional multispecies transport model for simulation of advection, dispersion, and chemical reactions of contaminants in groundwater systems; Documentation and user's guide. Contract report SERDP-99-1.