Senior chemist working on the CSS contract with the Environmental Protection Agency’s (EPA) Superfund Technical Assessment and Response Team (START) supported the Guam Lab Chemicals Round Up in March of 2024 and July of 2025. During both mobilizations, START supported EPA’s mission to collect chemical waste items from across the U.S. island territory of Guam for off-island transport and disposal. As a field chemist, CSS employee owner supporting the effort conducted Hazard Categorization (HazCat) testing on hundreds of unlabeled waste items to help determine the most appropriate waste stream for safe shipping and disposal of each item. CSS employee owner used the EPA Region 9 GeminiTM Chemical Identification analyzer to identify chemicals that appeared to be in their original containers, but that had missing or weathered labels. START supported worker health and safety by conducting screening of the chemical collections and storage spaces for toxic and volatile gases, explosive limits, radiation, and mercury vapor prior to initiating work, and by conducting air monitoring for toxic and volatile gases, and explosive limits during all handling and packing of the chemical wastes.


See More CSS Insights
Collecting and Studying Deep-Sea Coral
Three of our staff supporting NOAA’s National Centers for Coastal Ocean Science joined a team of nine other scientists on a 12 day expedition to collect deep-sea coral samples in the Gulf of Mexico.
Employees Receive Green Sustainability Award of Excellence
Congratulations to our team supporting the Center for Disease Control (CDC) for receiving the Green Sustainability Award of Excellence. Our team led the charge helping CDC to upgrade their spill cabinets across all campuses (Atlanta, GA; Fort Collins, CO; San Juan, PR), which now include a more sustainable material called Trivorex ®. This highly absorbent…
Developing a Database for Ecosystem Service Models
CSS scientists have been major developers and contributors to the online U.S. Environmental Protection Agency’s EcoService Models Library (ESML) database since its inception in 2012. The ESML database contains detailed but concise descriptions of ecosystem service models to facilitate the selection of models by ecosystem scientists for a variety of management and research applications. The…
