Dense Non Aqueous Phase Liquid Source Area Delineation Using Membrane Interface Probe and Hydraulic Profile Tool Technology at Space Launch Complex 16, Cape Canaveral Air Force Station, Florida - 16352
The historical use and disposal of chlorinated solvents throughout Department of Defense and Department of Energy sites has resulted in subsurface contamination by dense non-aqueous phase liquids (DNAPL). The nature and environmental persistence of DNAPLs makes delineation and remediation of these compounds challenging and costly. This paper examines the utilization of data from a membrane interface probe (MIP) and hydraulic profile tool (HPT) to reduce a typical 18 to 24 month field investigation to 3 months; thereby, significantly reducing costs and resulting in a three-dimensional (3D) imagery of a deep DNAPL plume in order to support an aggressive remedial design for Space Launch Complex 16 (SLC16) at Cape Canaveral Air Force Station, Florida. During the early stages of the U.S. space program, chlorinated solvents were routinely used at space complexes. Spent solvents were discharged to surface impoundments where they migrated into the subsurface. Over time, these chlorinated solvents reached concentrations high enough to form a DNAPL plume. Recent investigations near SLC16 identified a previously unknown DNAPL plume co-mingled with dissolved-phase chlorinated compounds. The DNAPL source area (concentrations of trichloroethene [TCE] as high as 1,000,000 micrograms per liter [μg/L]) was discovered approximately 1,200 feet (ft) west of the existing monitoring network area. The U.S. Air Force, along with the U.S. Army Corps of Engineers, developed data quality objectives (DQO) to delineate the extent of the DNAPL and the dissolved-phase contaminant plume. A multi-phase investigation approach was developed by HydroGeoLogic, Inc. (HGL) emphasizing the use of MIP and HPT sampling technologies, conventional direct push technology (DPT), and monitoring well sampling methods. This approach allowed the collection of real-time data that supported the project DQOs and significantly reduced overall project costs and the field implementation schedule. (authors)