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Background Past water-quality issues in the St. Lawrence River at Massena, NY resulted in a determination that selected beneficial uses were impaired in a surrounding Area of Concern (AOC) and on the Canadian side of the international boundary (Cornwall, Ontario). The benthic macroinvertebrate community or “benthos” Beneficial Use Impairment (BUI) was designated degraded because impairment metrics were unavailable or inconclusive. Recent sampling efforts by New York State Department of Environmental Conservation (NYSDEC) as part of their Rotating Integrated Basin Studies (RIBS) program indicate that macroinvertebrate communities in some sections of the St. Lawrence River and its tributaries in the Massena AOC are...
Categories: Data,
Project;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Aquatic Community Health,
Aquatic Community Health,
Aquatic Community Health,
Canada,
Cooperative Water Program, All tags...
Ecosystem Health,
Ecosystem Health,
Ecosystem Health,
Ecosystem Health,
Ecosystem Health,
Focused Assessments,
Focused Assessments,
Focused Assessments,
Microbiology,
New York,
Sediment,
Sediment,
Sediment,
St. Lawrence River,
St. Regis Mohawk Tribe,
USGS New York Water Science Center,
WSC,
Water Quality,
Water Quality,
Water Quality,
Water Quality,
Water quality, Fewer tags
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Problem Nutrients and sediment are generated by and removed from agricultural and urban areas, transported in streams, and ultimately delivered to the Great Lakes. The nutrients stimulate excessive algal growth and potentially cause noxious blooms and hypoxia. Sediment increases turbidity near stream mouths and, when deposited, can smother bottom-dwelling animals, drive fish from affected areas, and decrease water depth in navigation channels. An understanding of the hydrologic and water-quality processes that generate these loads will assist water-resources managers in making informed decisions regarding prevention or mitigation of these problems. A precipitation-runoff watershed model is a tool, which can...
Categories: Data,
Project;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Biogeochemical and Hydrologic Assessment,
Biogeochemical and Hydrologic Assessment,
BiogeochemicalandHydrologicAssessment,
Cooperative Water Program,
Ecosystem Health, All tags...
Ecosystem Health,
Flood Science,
Flood Science,
Flood Science,
New York,
SW Model,
SW Model,
SW model,
Surface-Water Modeling,
Surface-Water Modeling,
Surface-Water Modeling,
Tonawanda Creek Basin,
USGS New York Water Science Center,
WQ Model,
WQ Model,
WQ model,
WSC,
Water Quality,
Water Quality,
Water Use and Availability Science,
Water Use and Availability Science,
Water-Quailty Modeling,
Water-Quailty Modeling,
Water-Quality Modeling, Fewer tags
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Background The proposed study will examine any existing data from the monitoring wells, weather station, and flow through the storm sewer system (supplied by Buffalo Sewer Authority) to determine the dynamics of the system during storm events. Further analysis using all available information is needed to fully understand the relationship of events to the implementation of Green Infrastructure stormwater-control measure effectiveness. Questions to be addressed include: How do pipe flows and groundwater levels respond to storms? Can the data be used to quantify water-budget components at the site? To what extent can the effect of the Green Infrastructure in reducing stormwater volumes and peaks be quantified? Based...
Categories: Data,
Project;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Buffalo,
Flood Science,
Flood Science,
Groundwater Monitoring,
Groundwater and Streamflow Information, All tags...
Groundwater and Streamflow Information,
New York,
Stormwater,
Stormwater,
Stormwater,
Surface-Water Monitoring,
Surface-Water Monitoring,
Surface-Water Quality Monitoring,
Surface-Water-Quality Monitoring,
USGS New York Water Science Center,
WSC,
Water Quality,
Water Quality,
Water Use and Availability Science,
Water Use and Availability Science, Fewer tags
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The Multi-Resolution Land Characteristics (MRLC) consortium is a group of federal agencies who coordinate and generate consistent and relevant land cover information at the national scale for a wide variety of environmental, land management, and modeling applications. The creation of this consortium has resulted in the mapping of the lower 48 United States, Hawaii, Alaska and Puerto Rico into a comprehensive land cover product termed, the National Land Cover Database (NLCD), from decadal Landsat satellite imagery and other supplementary datasets. The primary objective of the MRLC NLCD is to provide the Nation with nationally complete, current, consistent, and public domain information on the Nation's land cover....
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