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Jack Parker

Research Scientist

Dr. Jack Parker is a Research Professor in UT's Department of Civil and Environmental Engineering and a Research Scientist at the Institute for a Secure and Sustainable Environment. He is a highly cited researcher with over 200 technical publications and has served on numerous expert panels, advisory and review boards, and delegations for government agencies, professional groups, private industry, and others. He has taught academic and professional courses and has presented workshops and invited seminars in 15 countries. He has directed many research and consulting projects involving contaminant transport and remediation refineries, terminals, manufacturing plants, and other facilities.

Dr. Parker's research currently focuses on inverse modeling, analysis of prediction uncertainty, and stochastic cost optimization of engineering decisions. In addition to environmental remediation problems, Dr. Parker is interested in the application of advanced computational methods to develop efficient, cost effective, and environmentally acceptable recovery of unconventional fossil energy sources, such as oil shale, and for in situ extraction of mineral resources by solution mining.

Selected Publications:

  • Parker, J.C., U. Kim, P.K. Kitanidis, M. Cardiff, X. Liu, and G. Beyke. 2012. Stochastic Cost Optimization of DNAPL Remediation - Method Description and Sensitivity Study. Environmental Modeling & Software 38: 74-88.
  • Kim, U., J.C. Parker, P. K. Kitanidis, M. Cardiff, X. Liu, and J. Gillie. 2012. Stochastic Cost Optimization of DNAPL Remediation - Field Application. Environmental Modeling & Software (DOI:10.1016/j.envsoft.2012.05.003).
  • Lee, J., X. Liu, P.K. Kitanidis, U. Kim, J. Parker, A. Bloom, and R. Lyon. 2012. Cost optimization of DNAPL remediation at Dover Air Force Base. Ground Water Remediation and Monitoring 32: 48?56.
  • Liu, X., J.L., P.K. Kitanidis, J. Parker , and U. Kim. 2012. Value of information as a context-specific measure of uncertainty in groundwater remediation. Water Resources Management 26: 1513-1535.
  • Zhang, F., W. Luo, J. C. Parker, S. C. Brooks, D. B. Watson, P. M. Jardine and B. Gu. 2011. Modeling uranium transport in acidic contaminated groundwater with base addition. Journal of Hazardous Materials 190: 863-868.
  • Cardiff, M., X. Liu, P. Kitanidis, J Parker, and U. Kim. 2010. Cost optimization of? DNAPL source and plume remediation under uncertainty using a semi-analytic model. J. Contam. Hydrol. 13: 24-43.
  • Zhang, F., J.C. Parker, S. Brooks, D. Watson, P. Jardine and B. Gu. 2010. Prediction of uranium and technetium sorption during titration of contaminated acidic groundwater. Journal of Hazardous Materials 178: 42-48.
  • Tang, G., M. Mayes, J.C. Parker, and P.M. Jardine. 2010. CXTFIT/Excel ? A modular adaptable approach for parameter estimation and uncertainty/sensitivity analysis. Computers and Geosciences 36: 1200-1209.
  • Zhang, F. and J.C. Parker. 2010. An efficient modeling approach to simulate heat and mass transfer between fracture and matrix regions for oil shale retorting. Transport in Porous Media 84: 229-240.
  • Tang, G., E. D?Azevedo, F. Zhang, J. Parker, D. Watson, and P. Jardine. 2010. A hybrid MPI/OpenMP approach for parallel groundwater model calibration on multicore computers. Computers and Geosciences 36:1451-1460.
  • Parker, J.C., U. Kim, P. Kitanidis, M. Cardiff, and X. Liu. 2010. Stochastic cost optimization of multi-strategy DNAPL site remediation. Ground Water Monitoring and Remediation 3: 65-78.
  • Zhang, F., W. Wu, J. Parker, T. Mehlhorn, S. Kelly, K. Kemner, G. Zhang, C. Schadt, S. Brooks, C. Criddle, D. Watson, and P. Jardine. 2010. Kinetic analysis and modeling of oleate and ethanol stimulated uranium (VI) bio-reduction in contaminated sediments under sulfate reduction conditions. J. Hazardous Materials 183: 482-489.
  • Parker, J., U. Kim, M. Widdowson, P. Kitanidis, and R. Gentry. 2010. Effects of model formulation and calibration data on uncertainty in DNAPL source dissolution predictions. Water Resour. Res. 46.