Efficient use of a genetic algorithm for long-term groundwater monitoring design

P. M. Reed, B. S. Minsker, A. J. Valocchi, D. E. Goldberg

Research output: Chapter in Book/Report/Conference proceedingConference contribution


This paper summarizes a methodology for designing long-term monitoring plans using groundwater fate-and-transport simulation, global mass estimation, and a genetic algorithm. Kriging and inverse distance weighting are the plume interpolation methods used to attain global mass estimates. Kriging provides the most accurate global mass estimates but has the drawback of having an increased computational complexity relative to inverse distance weighting. A hybrid method demonstrates how initial solutions found using inverse distance weighting can be refined using kriging to substantially reduce computational effort. Theoretical relationships available in the evolutionary literature were used to set the control parameters for the genetic algorithm, substantially reducing the number of trial runs required to ensure optimal or near optimal solutions. Results from the test case show that sampling costs could be reduced by as much as 60 percent without significant loss in accuracy of the global mass estimates.

Original languageEnglish (US)
Title of host publicationComputational methods in water resources - Volume 1 - Computational methods for subsurface flow and transport
EditorsL.R. Bentley, J.F. Sykes, C.A. Brebbia, W.G. Gray, G.F. Pinder, L.R. Bentley, J.F. Sykes, C.A. Brebbia, W.G. Gray, G.F. Pinder
PublisherA. A. Balkema
Number of pages5
ISBN (Print)9058091244
StatePublished - 2000
EventComputational Methods in Water Resources XIII - Calgary, Canada
Duration: Jun 25 2000Jun 29 2000


OtherComputational Methods in Water Resources XIII

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)
  • Engineering(all)
  • Environmental Science(all)


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