Data error and highly parameterized groundwater models

IAHS-AISH Publication

Volumn , Issue 320, 2008, Pages 316-321

  Hill, Mary C ^a  

^a U S GEOLOGICAL SURVEY   (United States)

Author keywords

Calibration; Optimization; Parameterization; Pilot points; Uncertainty

Indexed keywords

CALIBRATION; GROUNDWATER; RELIABILITY; UNDERGROUND RESERVOIRS;

DATA ERRORS; ESTIMATED PARAMETERS; GROUNDWATER MODELS; MODEL FITS; PARAMETERIZED; PARAMETERIZED MODELS; PILOT POINTS; SYNTHETIC TESTS; SYSTEM REPRESENTATIONS; UNCERTAINTY;

HYDROGEOLOGY;

CALIBRATION; CONFERENCE PROCEEDING; ERROR ANALYSIS; GROUNDWATER; HYDROLOGICAL MODELING; PARAMETERIZATION; PERFORMANCE ASSESSMENT; RELIABILITY ANALYSIS;

EID: 55249094076     PISSN: 01447815     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Barlebo, H. C., Hill, M. C. & Rosbjerg, Dan (2004) Identification of groundwater parameters at Columbus, Mississippi, using three-dimensional inverse flow and transport model. Water Resour. Res. 40(4) doi:10.1029/2002WR001935.
2. Barth, G. R. & Hill, M. C. (2005) Parameter and observation importance in modeling virus transport in saturated systems-Investigations in a homogenous system. J. Contain. Hydrol. 80, 107-129.
3. Doherty, J. (2007) PEST. Corinda, Australia, Watermark Numerical Computing, accessed 3 December 2007 at www.sspa.com.
4. Hill, M. C. (2006) The practical use of simplicity in developing groundwater models. Ground Water, doi: 10.1111/j.1745-6584.2006.00227.x/.
5. Hill, M. C. & Tiedeman, C. R. (2007) Effective Groundwater Model Calibration, with Analysis of Data, Sensitivities, Predictions and Uncertainty. John Wiley & Sons, New York, USA.
6. Mehl, S. W. & Hill, M. C. (2001) A comparison of solute-transport solution techniques and their effect on sensitivity analysis and inverse modeling results. Ground Water 39(2), 300-307.
7. Moore, C. & Doherty, J. (2005) Role of the calibration process in reducing model predictive error. Water Resour. Res. 41. doi: 10.1029/2004WR003501.
8. Poeter, E. P., Hill, M. C., Banta, E. R., Mehl, S. W. & Christensen, S. C. (2005) UCODE2005 and three postprocessors-Computer codes for universal sensitivity analysis, inverse modeling, and uncertainty evaluation. US Geol Survey Techniques and Methods Report TM 6-A11. http://typhoon.mines.edu/ freeware/ucode/.
9. Randall J. Hunt, R. J., Doherty, J. & Tonkin, M. J. (2007) Are models too simple? Arguments for increased parameterization. Ground Water 45(3), 254-262. doi: 10.1111/j.1745-6584.2007.00316.x