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The Chesapeake Bay is the largest estuary in the US, and provides critical resources to fish, wildlife and people that use the 64,000 square mile watershed. For more than a decade, adverse effects potentially associated with exposure to endocrine disrupting chemicals (EDCs) have been observed in the Bay watershed. Our goal is to provide the scientific data and understanding about the environmental transport, fate, exposure pathways, and ecological effects of EDCs and pathogens using a combination of field and laboratory studies, geospatial analyses and risk assessment models. The USGS has a critical role to provide scientific information and work with Federal, State, and academic science partners to develop research...
Coastal communities are uniquely vulnerable to sea-level rise (SLR) and severe storms such as hurricanes. These events enhance the dispersion and concentration of natural and anthropogenic chemicals and pathogenic microorganisms that could adversely affect the health and resilience of coastal communities and ecosystems in coming years. The U.S. Geological Survey has developed a strategy to define baseline and post-event sediment-bound environmental health (EH) stressors (hereafter referred to as the Sediment-Bound Contaminant Resiliency and Response [SCoRR] strategy). A tiered, multimetric approach has been developed to (1) identify and map contaminant sources and potential exposure pathways for human and ecological...
Scientists within the Geospatial Analyses and Applications Team develop and apply geospatial analytical methods to answer broad-scale questions about source-sink and cause-effect relationships between contaminants and vulnerable communities. Multivariate statistics are used to identify connections between landscape gradients and observational data. These connections are used to develop risk assessments and make predictions across broad, regional scales. Datasets and analytical tools developed by the CTT support multiple projects seeking to understand complex source-sink relationships between observational data and landscape characteristics. Datasets, tools, and methods detailed and stored on this community page...
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