PEST controlled: Responsible application of inverse techniques on UK groundwater models

Geological Society Special Publication

Volumn 364, Issue 1, 2012, Pages 353-373

  Black, G E ^a   Black, A D ^b  

^a SCHLUMBERGER   (United States)

^b Groundwater Science Ltd   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; CALIBRATION; CONCEPTUAL FRAMEWORK; ERROR ANALYSIS; ESTIMATION METHOD; FLOW MODELING; GROUNDWATER; PARAMETERIZATION; UNCERTAINTY ANALYSIS;

UNITED KINGDOM;

EID: 84863874650     PISSN: 03058719     EISSN: None     Source Type: Book Series    
DOI: 10.1144/SP364.22     Document Type: Article

References (18)

1. Dausman A M, Doherty J, Langevin C D, Dixon J. Hypothesis testing of buoyant plume migration using a highly parameterized variable-density groundwater model. Hydrogeology Journal 2010, 18:147-160.
2. Doherty J. Ground water model calibration using pilot points and regularization. Ground Water 2003, 41:170-177.
3. Doherty J. PEST. Model-independent Parameter Estimation. User Manual 2004, 5th edn, Australia, Watermark Numerical Computing, Brisbane.
4. Doherty J, Welter D. A short exploration of structural noise. Water Resource Research 2010, 46:14.
5. Doherty J, Breber L, Whyte P. PEST. Model-Independent Parameter Estimation 1994, Australia, Watermark Computing, Corinda.
6. Doherty J, Muffels C, Rumbaugh J, Tonkin M. (constantly updated). PEST. Model-Independent Parameter Estimation & Uncertainty Analysis 2010, World Wide Web Address: http://www.pesthomepage.org/Home.php.
7. Gebbett S, Johnson D. Wirral: Quantitative Conceptual Model and Investigative Numerical Modelling. Wirral and West Cheshire Aquifer Study - Phase 2 2002, Wales Region Report, Environment Agency of England and Wales.
8. Harbaugh A W, McDonald M G. User's Documentation for MODFLOW-96, an Update to the U.S. Geological Survey Modular Finite-Difference Ground-Water Flow Model 1996, 96-485. US Geological Survey Open-File Report.
9. Harbaugh A W, Banta E R, Hill M C, McDonald M G. MODFLOW-2000, the U.S. Geological Survey Modular Ground-Water Model - User Guide to Modularization Concepts and the Ground-Water Flow Process 2000, 00-92. US Geological Survey Open-File Report.
10. Hulme P, Grout M, Seymour K, Rushton K, Brown L, Low R. Strategic Review of Groundwater Modelling, Groundwater Resources Modelling: Guidance Notes and Template Project Brief 2002, W213. Environment Agency of England and Wales R&D Guidance Notes.
11. Hunt R J, Doherty J, Tonkin M J. Are models too simple? Arguments for increased parameterisation. Ground Water 2007, 45:254-262.
12. Hunt R J, Luchette J, Shreuder W A, Rumbaugh J, Doherty J, Tonkin M J, Rumbaugh D. Using the cloud to replenish parched groundwater modeling efforts. Ground Water 2010, 48:360-365.
13. de Marsily G. De l'identification des systèmes hydrologiques 1978, Université Paris VI, PhD thesis.
14. Rushton K R. Groundwater Hydrology: Conceptual and Computational Models 2003, Chichester, Wiley.
15. Scanlon B R, Mace R E, Barrett M E, Smith B. Can we simulate regional groundwater flow in a karst system using equivalent porous media models? Case study, Barton Springs Edwards aquifer, USA. Journal of Hydrology 2003, 276:137-158.
16. Taylor A B, Martin N A, Everard E, Kelly T J, Shepley M G, Whiteman M I, Hulme P J, Grout M W. Modelling the Vale of St Albans: parameter estimation and dual storage. Groundwater Resources Modelling: A Case Study from the UK 2012, 364,:193-204. Geological Society, London, Special Publications.
17. Tonkin M J, Doherty J. A hybrid regularized inversion methodology for highly parameterized environmental models. Water Resources Research 2005, 41:W10412. 10.1029/2005WR003995.
18. Parameter Estimation, Sensitivity Analysis and Predictive Uncertainty Analysis of a UK Regional Groundwater Model Using PEST 2008, Water Management Consultants Ltd (a Schlumberger Company), Contractor Report for the Environment Agency of England and Wales, Science Group..