Area of Interest (AOI)
Long-Term Remediation Management and
Optimization
Long-Term Monitoring
Optimization (LTMO) Page
Long-term monitoring of remedial or corrective actions such as ground water extraction and treatment, natural attenuation, landfills, or long-term soil-vapor extraction represents a significant recurring effort and expense. Periodic optimization of the monitoring programs is needed to assure that the work meets all needs for site decisions and reflects the current site conditions.
The optimization of the LTM programs may involve the modification of sampling network, sampling frequency, sampling methods, data management, and analytical methods. The changes may include a decrease in effort, or an increase in monitoring in some areas to address data gaps, uncertainties, or needs for early warning of plume migration. A number of methods and tools are available to guide and assist in LTMO efforts.
Resources:
- EPA/USACE Roadmap to Long-Term Monitoring Optimization
- Air Force LTMO Guidance (follow link to LTM Optimization Guide, link there is to an executable file that expands to various related files)
- Navy LTMO Guidance
- Other: see FRTR Optimization LTMO web page.
Results:
- EPA LTMO Method Demonstration Project Report (this report describes the application of the MAROS LTMO software tool and the Parsons’ Three-Tiered LTMO approach to three sites)
- USACE EM CX, LMTO Report, Petro-Chemical Systems – Turtle Bayou Superfund Site (2008)
- USACE EM CX, LMTO Report, Whittier Narrows OU, San Gabriel Valley Superfund Site (2008)
Tools:
- MAROS LTMO Support Software (Publicly Available)
- GTS LTMO Software (Publicly Available, follow link to Geostatistical Long-Term Monitoring Optimization Algorithm)
Conference Proceedings:
Various Proceedings, including the materials for the recent LTMO seminar taught at the National Association of Remedial Project Managers (Phoenix, AZ, May 2005), the LTMO for Groundwater Seminar (Sacramento, CA, March 2005), and the “Accelerating Site Close Out, Improving Performance, and Reducing Costs through Optimization” Conference (Dallas, TX, June 2004, includes several sessions on LTMO) |
