Supporting EPA’s Emergency Response Efforts following Hurricane Harvey
CSS staff served as lead technical advisors on a multi-agency environmental response team after Hurricane Harvey.
Providing Field and IT Specialists to Address Hazardous Materials and Support Data Management
CSS staff served as lead technical advisors on a multi-agency environmental response team after Hurricane Harvey. Teams traveled by boat and over land to locate, evaluate, retrieve, and document orphan drums, vessels, and tanks holding five gallons or more of hazardous materials. Our field specialists conducted air monitoring at all locations, documenting activities with logbooks, iPads, and global positioning system (GPS) tools. We uploaded the resulting data to EPA’s data management systems. Once the retrieved orphan containers arrived at EPA’s staging area in Port Arthur, we sorted them by type and obtained a daily count of all collected items. CSS mobilized additional IT staff on site to support the data management performed by EPA, the US Coast Guard, and other responders. Our staff entered data into the main EPA databases from batches collected in the field by the response teams, then confirmed data quality and integrity using data collection tools and tailored database queries. Our IT specialist created “ad hoc” queries of the main EPA database to provide the Incident Command team with real-time information on the status of cleanup efforts. We also generated and distributed daily reports on the status of storm-related water, ground, vessel, and non-vessel pollution to EPA management and other stakeholders.
Additional Projects
Analytical Support for the Drinking Water Emergency in Flint, Michigan
Helping 100,000 Residents Affected by Elevated Lead Levels in Local Water Supply Lead contamination found in the drinking water in Flint, Michigan had a catastrophic impact on the community and its residents. CSS supported EPA’s response to the crisis by providing mobile and fixed analytical laboratory services and data review. Over a nine-month period, our…
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.
Harmful Algal Blooms (HABs)
We provide site-specific in situ monitoring coupled with predictive modeling, to provide an early warning system to advise health officials and resource managers on how to best focus their efforts to protect health and environment.
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