Programs for calibration-based Monte Carlo simulation of recharge areas.

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  • Author(s): Starn JJ;Starn JJ; Bagtzoglou AC
  • Source:
    Ground water [Ground Water] 2012 May-Jun; Vol. 50 (3), pp. 472-6. Date of Electronic Publication: 2011 Oct 03.
  • Publication Type:
    Journal Article
  • Language:
    English
  • Additional Information
    • Source:
      Publisher: Blackwell Publishing Country of Publication: United States NLM ID: 9882886 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1745-6584 (Electronic) Linking ISSN: 0017467X NLM ISO Abbreviation: Ground Water Subsets: MEDLINE
    • Publication Information:
      Publication: 2005- : Malden, MA : Blackwell Publishing
      Original Publication: Worthington, Ohio : Water Well Journal Pub. Co.,
    • Subject Terms:
      Calibration* ; Monte Carlo Method*; Probability
    • Abstract:
      One use of groundwater flow models is to simulate contributing recharge areas to wells or springs. Particle tracking can be used to simulate these recharge areas, but in many cases the modeler is not sure how accurate these recharge areas are because parameters such as hydraulic conductivity and recharge have errors associated with them. The scripts described in this article (GEN_LHS and MCDRIVER_LHS) use the Python scripting language to run a Monte Carlo simulation with Latin hypercube sampling where model parameters such as hydraulic conductivity and recharge are randomly varied for a large number of model simulations, and the probability of a particle being in the contributing area of a well is calculated based on the results of multiple simulations. Monte Carlo simulation provides one useful measure of the variability in modeled particles. The Monte Carlo method described here is unique in that it uses parameter sets derived from the optimal parameters, their standard deviations, and their correlation matrix, all of which are calculated during nonlinear regression model calibration. In addition, this method uses a set of acceptance criteria to eliminate unrealistic parameter sets.
      (Ground Water © 2011, National Ground Water Association. Published 2011. This article is a U.S. Government work and is in the public domain in the USA.)
    • Publication Date:
      Date Created: 20111005 Date Completed: 20120813 Latest Revision: 20120430
    • Publication Date:
      20231215
    • Accession Number:
      10.1111/j.1745-6584.2011.00868.x
    • Accession Number:
      21967487