Comprehensive MMRP Live Site Technology Demonstration of Advanced Geophysics and Advanced Classification Methods
Victoria Kantsios | URS Group, Inc.
Objectives of the Demonstration
This project will use and evaluate the performance of advanced geophysical technologies and data analysis methods in a production environment and to demonstrate the degree to which these technologies can be effectively integrated into characterizing Military Munitions Response Program (MMRP) sites. The project team will demonstrate the effectiveness and costs associated with implementing advanced geophysical technologies during an ongoing military munitions response action; evaluate stakeholder acceptance of the technologies' ability to classify anomalies as "hazardous" and "nonhazardous"; demonstrate the field-worthiness of these advanced technologies in a variety of production settings; and analyze the application of current industry policies and data quality standards to the advanced technologies, including applicable United States Army Corps of Engineers Data Item Descriptions and guidance documents.
The project team will use advanced data collection technology and advanced processing, combined with an EM61 survey and standard threshold picking analysis approach, to identify anomalies on the site and provide a baseline for comparison. The team will perform cued interrogation of 2500 anomalies using the advanced geophysical data collection systems, either vehicle-transported or man-portable depending on site conditions. Anomalies will be classified into one of four categories (Category 1 - Likely Non-Target of Interest [TOI]; Category 2 - Cannot Decide; Category 3 - Likely TOI; and Category 4 - Cannot Analyze).
Based on these results, the project team will prepare a ranked anomaly list with a dig/no-dig threshold. After completing data collection and processing, URS will intrusively investigate each anomaly to validate target classification and collect key parameter data about excavated objects (e.g., anomaly type, depth, size, orientation, azimuth, nomenclature). Intrusive investigation data will be used to evaluate the probability of detection of TOI, proper classification of TOI and non-TOI, and the proper specification of the no-dig threshold.
Points of Contact
Ms. Victoria Kantsios
URS Group, Inc.
SERDP and ESTCP