Collaborative Research: Multi-Model Bayesian Data-Worth Analysis for Groundwater Remediation Design

  • Investigators: Roseanna Neupauer, Joseph Kasprzyk (CU Boulder); Ming Ye (Florida State)
  • Funding Agency: National Science Foundation
  • Amount: $183,760
  • Period: 8/2016 – 7/2019
  • Support: 1 co-advised graduate student for duration of project, 1 month summer support per year


Description: 

The project addresses the challenge that groundwater remediation strategies often fail because they ignore model uncertainty.  The proposed research uses a multi-model data-worth analysis to improve groundwater remediation design.  The project also involves creating model surrogates to improve computational efficiency.