| Autor: |
John M. Zachara, Glenn E. Hammond, Mark L. Rockhold, Xingyuan Chen, Christopher J. Murray, Vincent R. Vermeul |
| Rok vydání: |
2013 |
| Předmět: |
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| Zdroj: |
Water Resources Research. 49:7064-7076 |
| ISSN: |
0043-1397 |
| DOI: |
10.1002/2012wr013285 |
| Popis: |
Subsurface aquifer characterization often involves high parameter dimensionality and requires tremendous computational resources if employing a full Bayesian approach. Ensemble-based data assimilation techniques, including filtering and smoothing, are computationally efficient alternatives. Despite the increasing number of applications of ensemble-based methods in assimilating flow and transport related data for subsurface aquifer charaterization, most are limited to either synthetic studies or two-dimensional problems. In this study, we applied ensemble-based techniques for assimilating field tracer experimental data obtained from the Integrated Field Research Challenge (IFRC) site at the Hanford 300 Area. The forward problem was simulated using the massively-parallel three-dimensional flow and transport code PFLOTRAN to effectively deal with the highly transient flow boundary conditions at the site and to meet the computational demands of ensemble-based methods. This study demonstrates the effectiveness of ensemble-based methods for characterizing a heterogeneous aquifer by sequentially assimilating multiple types of data. The necessity of employing high performance computing is shown to enable increasingly mechanistic non-linear forward simulations to be performed within the data assimilation framework for a complex system with reasonable turnaround time. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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