Filters: Tags: {"type":"Label","name":"contaminants, organic"} (X) > Tags: {"type":"Label","name":"land use effects"} (X) > Types: Map Service (X) > partyWithName: New York Water Science Center (X)
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The current information available for the Genesee River and watershed is insufficient to assess if the Beneficial Use Impairment (BUI) delisting criteria for the Rochester Embayment Area of Concern (AOC) can or have been met. With on-going and future projects that are implementing best practices to control soil erosion and the reduction of nutrients that reach the Rochester Embayment, the river and the watershed, it becomes a necessity to: 1.) collect more frequent Total Suspended Sediment (TSS) data for the Genesee River both within and outside of the AOC; and 2.) to have a study design capable of evaluating the impact/success of the current and proposed GLRI projects in the watershed. This project is envisioned...
Categories: Data,
Project;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: BMP,
Best-Management Practices,
Best-Management Practices,
Best-Management Practices,
CAFO,
Problem - The Onondaga Lake Partnership (OLP) is committed to improving the water quality of Onondaga Lake. Onondaga County Soil and Water Conservation District (SWCD) has promoted best-management practices to decrease loads of nutrients and sediment from agricultural lands. Onondaga County Department of Water Environment Protection has abated many of the outflows from combined sanitary-and-storm sewers in the city of Syracuse and has upgraded treatment capabilities for removal of nutrients in effluent from the county's Metropolitan waste-water-treatment plant. These measures have fallen short of target levels of phosphorus and nitrogen loadings to Onondaga Lake because of inputs from nonpoint sources of pollution....
Categories: Data,
Project;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Ambient Monitoring,
Ambient Monitoring,
Ambient Monitoring,
Best-Management Practices,
Best-Management Practices,
The Great Lakes Restoration initiative (GLRI) template #77 (Beach Recreation Water Quality) in cooperation with 23 local and state agencies expanded the use of predictive modeling at 45 beaches throughout the Great Lakes (fig 1). Local agencies measure fecal-indicator bacteria such as Escherichia coli (E. coli.) along with easily obtained environmental variables used as surrogates to estimate concentrations of fecal-indicator bacteria through a predictive modeling approach. The predictive modeling is being developed by the use of linear regression and/or partial least-squares techniques. The models use software developed by the U.S. Environmental Protection Agency known as “Virtual Beach”. Each beach model is based...
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