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.