Research Hydrologist
Email:
srcorsi@usgs.gov
Office Phone:
608-821-3835
Fax:
608-821-3817
ORCID:
0000-0003-0583-5536
Location
One Gifford Pinchot Drive
Madison
, WI
53726
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Description of Work U.S. Geological Survey (USGS) is identifying the types and locations of emerging and legacy toxic contaminants in the water and sediments at 59 major tributaries to the Great Lakes (including many Area of Concern sites). This information is needed to help prioritize watersheds for restoration, develop strategies to reduce contaminants, and measure the success of those efforts in meeting restoration goals. The USGS contaminant and virus tributary monitoring network follows the National Monitoring Network for Coastal Waters design. The monitoring effort includes collecting emerging contaminant samples at 17 sites, a subset of the 30 nutrient monitoring sites; and for human viruses and other waterborne...
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, All tags...
Lake,
Lake:Lake Erie,
Lake:Lake Huron,
Lake:Lake Michigan,
Lake:Lake Ontario,
Lake:Lake St. Clair,
Lake:Lake Superior,
Legacy contaminants,
National Monitoring Network,
Template 78,
Toxic Substances,
Trace organic contaminants,
Uploaded in Batch,
Wastewater contamination,
Waterborn pathogens,
toxic contaminants, Fewer tags
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This dataset includes pesticides and pesticide transformation products in 15 tributaries of the Great Lakes. Pesticides were monitored using polar organic chemical integrative samplers (POCIS) to estimate concentrations in water following standard protocols (Alvarez, 2010) in June and July 2016. POCIS extracts were analyzed for 225 chemicals (USGS National Water Quality Laboratory schedule 5437, Sandstrom and others, 2016), for which 129 chemicals also have POCIS uptake rates, allowing calculations of time-weighted mean concentration over the approximately 30 day deployment (Alvarez and others, 2008). Collectively, there were 97 chemicals detected, and time-weighted mean concentrations could be calculated for 95...
Categories: Data;
Tags: Bad River,
Clinton River,
Cuyahoga River,
Environmental Health,
Fox River, All tags...
Genesee River,
Grand River,
Great Lakes,
Indiana,
Indiana Harbor canal,
Lake Erie,
Lake Huron,
Lake Michigan,
Lake Ontario,
Lake Superior,
Limnology,
Maumee River,
Michigan,
Milwaukee River,
Minnesota,
New York,
Ohio,
Oswego River,
River Rouge,
Saginaw River,
St. Joseph River,
St. Louis River,
USGS Science Data Catalog (SDC),
Vermilion River,
Water Resources,
Wisconsin,
contamination and pollution,
dissolved contaminants,
emerging contaminants,
inlandWaters,
legacy contaminants,
passive samplers,
pesticides,
surface water,
surface water quality,
water chemistry, Fewer tags
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This dataset describes the quantity, morphology, and polymer identity of microplastics in the water column and surficial sediments of Milwaukee-Area streams, the Milwaukee Harbor, and Lake Michigan (Wisconsin). Water samples were collected at 10 locations, 2-4 times each, from May to September, 2016. At the 4 shallowest locations, water was collected only at the water surface. At the remaining 6 locations, water was collected at the water surface and at 1-4 depths below the surface. Sediment samples were collected once, in June 2016, at a subset of 9 locations. Sampling and analysis methods are described in the Processing Steps section of the metadata. These data are interpreted in the following journal article:...
Categories: Data;
Tags: Environmental Health,
Hydrology,
Lake Michigan,
Milwaukee,
USGS Science Data Catalog (SDC), All tags...
Water Quality,
Water Resources,
Wisconsin,
contamination and pollution,
inlandWaters,
microplastics,
runoff,
surface water quality, Fewer tags
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Three regression models were developed for describing variability of host-specific flux data in eight Great Lakes tributaries. Models include one for Lachnospiraceae flux, one for human bacteroides flux, and one for ruminant bacteroides flux. Models were developed using the R project for statistical computing with core functionality and the survival, smwrBase, and smwrQW packages. Predictor variables for these models are included in the data file and input files provided. These include sampling dates and times, rainfall depth, percent of watershed underlain by tile drainage, cattle population (for the ruminant marker model) and human population (for the human marker models). Sample collection and laboratory analyses...
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This dataset describes the quantity, morphology, concentration and polymer identity of microplastics in surficial benthic sediment of Lake Michigan and Lake Erie. Lake Michigan sediment samples were collected at 20 locations in September, 2013 and Lake Erie sediment samples were collected at 12 locations in September, 2014 while on-board the R.V. Lake Guardian. Sampling and analysis methods are described in the Processing Steps section of the metadata.
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