Filters: Tags: highlight (X) > Types: OGC WMS Layer (X)
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Description of Work In 2014-15 the U.S. Geological Survey and State University of New York at Fredonia characterized the quantity and morphology of floating microplastics in 29 Great Lakes tributaries in 6 states under different hydrologic conditions, wastewater effluent contributions, land uses, and seasons. Tributaries were sampled four times each, during high-flow and low-flow conditions. Samples were collected from the upper 20-30cm of the stream using a 0.33mm mesh neuston net. Microplastic particles were sorted by size, counted, and categorized as fibers/lines, pellets/beads, foams, films, and fragments. References 1. R. C. Thompson et al., Lost at Sea: Where Is All the Plastic? Science. 304, 838 (2004)....
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Emerging contaminants,
GLRI,
Great Lakes Restoration Initiative,
Great Lakes Restoration Initiative,
Great Lakes Tributaries,
Description of Work U.S. Geological Survey (USGS) will use remote sensing data to establish a baseline understanding of current distributions of invasive wetland plants and then forecast potential invasion corridors. Alterations to the Great Lakes shoreline or water-level patterns associated with global climate change could have significant impacts on the extent and composition of coastal habitat. Low lake levels can expose fertile wetland bottomlands to invasive species such as common reed ( Phragmites). Goals & Objectives Goals: Identify current Phragmites distribution in the Great Lakes coastal zone, detect potential areas vulnerable to invasion due to influences such as altered water levels, nutrient and...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Accountability,
Areas of concern,
Climate change,
GLRI,
Governmental,
Description of Work In collaboration with 23 local and state agencies, beach-specific models were developed at 43 beaches throughout the Great Lakes region, and data were collected at 6 more beaches for future predictive model development. A predictive modeling workshop was hosted by USGS with instructors from USGS, USEPA, and Wisconsin DNR and included training on the use of USGS-developed data aggregation tools and USEPA’s Virtual Beach. Relevance & Impact Over 56 beaches across the Great Lakes region, in addition to those currently being monitored, will be included in this effort to help meet goals for healthier beaches. Key Findings Analyses were completed for a suite of pathogens at 12 Great Lakes beaches....
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Assessment,
Beach Health,
Ecosystem health,
GLRI,
Governmental,
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