Markov Models and the Ensemble Kalman Filter for Estimation of Sorption Rates
- Sandia National Laboratories, Carlsbad, NM (United States). Performance Assessment and Decision Analysis Department, Carlsbad Programs Group
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States). Geohydrology Department
- Sandia National Laboratories, Carlsbad, NM (United States). Performance Assessment and Decision Analysis Department, Carlsbad Programs Group
Non-equilibrium sorption of contaminants in ground water systems is examined from the perspective of sorption rate estimation. A previously developed Markov transition probability model for solute transport is used in conjunction with a new conditional probability-based model of the sorption and desorption rates based on breakthrough curve data. Two models for prediction of spatially varying sorption and desorption rates along a one-dimensional streamline are developed. These models are a Markov model that utilizes conditional probabilities to determine the rates and an ensemble Kalman filter (EKF) applied to the conditional probability method. Both approaches rely on a previously developed Markov-model of mass transfer, and both models assimilate the observed concentration data into the rate estimation at each observation time. Initial values of the rates are perturbed from the true values to form ensembles of rates and the ability of both estimation approaches to recover the true rates is examined over three different sets of perturbations. The models accurately estimate the rates when the mean of the perturbations are zero, the unbiased case. Finally, for the cases containing some bias, addition of the ensemble Kalman filter is shown to improve accuracy of the rate estimation by as much as an order of magnitude.
- Research Organization:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 1426968
- Report Number(s):
- SAND-2007-1260J; 526730
- Journal Information:
- Sandia journal manuscript; Not yet accepted for publication, Journal Name: Sandia journal manuscript; Not yet accepted for publication; ISSN 9999-0014
- Publisher:
- Sandia
- Country of Publication:
- United States
- Language:
- English
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