Filters: Tags: {"scheme":"https://www.sciencebase.gov/vocab/category/Great%20Lakes%20Restoration%20Initiative/GLRIFocusArea","name":"nearshore health"} (X) > Types: Map Service (X)
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This project, a collaborative study involving the U.S. Geological Survey (USGS) and Heidelberg University, focuses on using multi-agency water monitoring data in the Lake Erie basin (fig. 1) and a USGS package of software tools (dataRetrieval and EGRET; Hirsch and De Cicco, 2015 ) to evaluate seasonal and annual phosphorus and nitrogen trends, and to relate observed trends to climate, streamflow, and land-use activities. EGRET utilizes a recently developed trend method, Weighted Regressions on Time, Discharge, and Season (WRTDS; Hirsch and others, 2010 ). WRTDS is designed to remove the effects of year-to-year streamflow variations on nutrient trends and provide improvements over prior conventional trend methods,...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: GLRI,
Great Lakes Restoration Initiative,
Lake,
Lake:Lake Erie,
Nearshore Health,
Description of Work Predictive models have been used at beaches to improve the timeliness and accuracy of recreational water-quality assessments over the most common current approach to water-quality monitoring, which relies on culturing fecal-indicator bacteria such as Escherichia coli (E. coli.)
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Assessment,
Channel,
Channel:Niagara Channel,
E.coli,
GLRI,
Description of Work U.S. Geological Survey (USGS) scientists will conduct fish sampling in Indiana to determine the main causes of impairment of Pigeon Creek. The U.S. Environmental Protection Agency and Indiana State agencies will use the data to evaluate ways to improve water quality. Fish assemblage data is needed to develop total maximum daily loads and implementation plans for impaired AOCs and tributaries in the Basin. Development of the TMDLs will include determining the sources of the pollutant, calculating loading allocations to ensure the designated uses will be met, and developing an implementation plan to achieve these allocations. TMDLs will address several pollutants including nutrients, sediment and...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Assessment,
GLRI,
Great Lakes Restoration Initiative,
Great Lakes Restoration Initiative,
Impaired waters/TMDLs,
Description of Work U.S. Geological Survey (USGS) scientists will assess the hydrology, water quality, and response to simulated changes in phosphorus loading of the Winnebago Pool Lakes, Wisconsin. Total annual phosphorus and total suspended sediment loads will be estimated at various monitored locations throughout the Upper Fox and Wolf River Watershed using a rating curve method or GCLAS with streamflow monitored by the USGS and water quality data collected by the Wisconsin DNR. Monitoring at three new sites was done as part of this study. Data from these three sites will be used to help calibrate the SWAT model for the basin. These loads will be supplied to the Cadmus Group, Inc. to help calibrate SWAT models...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Eutrophication,
GLRI,
Great Lakes Restoration Initiative,
Great Lakes Restoration Initiative,
Impaired waters/TMDLs,
Description of Work The Great Lakes ecosystem has undergone major changes over the last two decades related to the invasion of Dreissenid mussels, increased water clarity, increased benthic algae and associated water quality problems. For reasons not yet entirely understood, and that have bi-national significance, water column total phosphorus has not significantly increased over the last decade but the relative percent of the more biologically available dissolved phosphorus has increased. The filtering action of Dreissenid mussels has been shown to increase concentrations of dissolved phosphorus in the water column immediately above mussel beds and this had been hypothesized as one explanation for the increase...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Channel,
Channel:Niagara Channel,
GLRI,
Great Lakes Restoration Initiative,
Great Lakes Restoration Initiative,
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Best Management Practices,
GLRI,
Great Lakes Restoration Initiative,
Great Lakes Restoration Initiative,
Lake,
Description of Work The Great Lakes Restoration Initiative (GLRI) was established to accelerate ecosystem restoration in the Great Lakes by confronting the most serious threats to the region, such as nonpoint source pollution, toxic sediments, and invasive species. Three Priority Watersheds have been targeted by the Regional Working Group's Phosphorus Reduction Work Group (Fox/Green Bay, Saginaw, and Maumee) and are characterized by having a high density of agricultural land use and have ecosystem impairments that have been clearly identified. Within the Maumee River Priority Watersheds, monitoring is being conducted at the sub-watershed, edge-of-field, and subsurface-tile scale. The edge-of-field and subsurface-tile...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Best Management Practices,
GLRI,
Great Lakes Restoration Initiative,
Great Lakes Restoration Initiative,
Lake,
Description of Work The Great Lakes Restoration Initiative (GLRI) was established to accelerate ecosystem restoration in the Great Lakes by confronting the most serious threats to the region, such as nonpoint source pollution, toxic sediments, and invasive species. Three Priority Watersheds have been targeted by the Regional Working Group's Phosphorus Reduction Work Group (Fox/Green Bay, Saginaw, and Maumee) and are characterized by having a high density of agricultural land use and have ecosystem impairments that have been clearly identified. Within the Fox River Priority Watershed, monitoring is being conducted at the sub-watershed and edge-of-field scale. The edge-of-field stations are targeted to those areas...
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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