A New Framework for Adaptive Sampling and Analysis During Long-Term Monitoring and Remedial Action Management

DOE and other Federal agencies are making a significant investment in the development of field analytical techniques, nonintrusive technologies, and sensor technologies that will have a profound impact on the way environmental monitoring is conducted. Monitoring and performance evaluation networks will likely be based on suites of in situ sensors, with physical sampling playing a much more limited role. Designing and using these types of networks effectively will require development of a new paradigm for sampling and analysis of remedial actions, which is the overall goal of this project. Specifically, the objectives of this project are to create an adaptive framework that will: (1) enable effective interpretation of non- intrusive monitoring data, (2) improve predictions and assessment of remediation performance, (3) develop decision rules for on-site adaptive sampling and analysis, and (4) enable more informed decision making and risk analysis of long-term monitoring systems