Underground Transport Restoration Operational Technology Demonstration
CSS provided both technical and logistical support for the Underground Transport Restoration Operational Technology Demonstration.

Supporting a Major Operational Exercise to Restore a Subway/Mass Transit System
A successful field-scale remediation test requires both scientific expertise and comprehensive planning. CSS provided both technical and logistical support for the Underground Transport Restoration Operational Technology Demonstration. The multi-agency exercise was designed to develop scalable decontamination techniques and test off-the-shelf technologies that could be used in the event of a biological agent release. Over 18 months, we planned for the test bed operations, ambient air monitoring, decontamination, sampling and analysis, waste management, and release of the surrogate biological agent. We worked with EPA to develop the specifications for the equipment and supplies needed, then assisted with procurement and expediting to meet tight deadlines. During the successful six-week event held at a mock subway station at Fort A.P. Hill in Virginia, our staff provided onsite assistance for all activities. We collected and shipped 300 wash samples, led personnel decontamination, and managed wastes generated during the demonstration.
Additional Projects

Quick Response Guides for Emergency Response
CSS prepares tactical, field, and quick response guides used by EPA OSCs and other first responders to address a wide range of contaminants.

Industrial Hygiene Services for the Army Public Health Command (APHC)
CSS served as the prime contractor performing facility-wide industrial hygiene (IH) surveys and assessments at 16 CONUS and 8 OCONUS Army installations for FY2016. We scheduled and executed surveys using teams of IH professionals for large-scale (NTE 200 shops surveys, 400 ventilation evaluations, 100 sound level measurements, and 100 noise dosimetry measurements per Army installation)…

Predictive Modeling/Spatial Planning, NY Bight
CSS designed and implemented this integrated data acquisition, data management, and statistical predictive modeling to select optimal wind farm locations while minimally impacting seabirds.

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