indicator kriging, MODFLOW, stochastic simulations, T-PROGS, transition probability geostatistics
This paper describes a technique for applying the transition probability geostatistics method for stochastic simulation to a MODFLOW model. Transition probability geostatistics has several advantages over traditional indicator kriging methods, including a simpler and more intuitive framework for interpreting geological relationships and the ability to simulate juxtapositional tendencies such s fining-upwards sequences. The indicator arrays generated by the transition probability simulation are converted to layer elevation and thickness arrays for use with the new Hydrogeologic Unit Flow (HUF) package in MODFLOW 2000. This makes it possible to preserve complex heterogeneity while using reasonably sized grids.
Original Publication Citation
Jones, N.L., 2002, “Using transition probability geostatistics with MODFLOW,”Calibration and Reliability in Groundwater Modelling: A Few Steps Closer to Reality(Proceedings of ModelCARE’2002,Prague, Czech Republic, 17–20 June 2002). IAHS Publ. no. 277, pp. 359–364.
BYU ScholarsArchive Citation
Jones, Norman L.; Walker, J. R.; and Carle, S. F., "Using transition probability geostatistics with MODFLOW" (2002). Faculty Publications. 4292.
Calibration and Reliability in Groundwater Modelling: A Few Steps Closer to Reality
Ira A. Fulton College of Engineering and Technology
Civil and Environmental Engineering
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