Skip to main content

Person

Edward F Bugliosi

Description of Work Since 2010, connecting channels have been included in each of the Great Lakes’ Lake Management Plans (LaMPs). Lake Ontario now includes both the Niagara River and the St. Lawrence River. The Niagara River is well characterized by a number of long-term programs, but because of the lack of tributary water-quality data, the St. Lawrence River and its tributaries constitute a data gap in the information needed for the Lake Ontario to fulfill its goals. Critical information needs, including basic water-quality parameters, total suspended solids, nutrients and flow data. These data are needed to aid in the identification of sources of nutrient and sediment loading to the St. Lawrence. The monitoring...
thumbnail
Description of Work To date many meetings have been attended and coalitions developed between USGS Water Mission area and NYSDEC and EPA region 2 which have spun off into several other monitoring and BUI delisting projects funded by Region 2 through the USGS/EPA IA. This has been a perfect example of leveraging USGS GLRI funds to develop additional GLRI-related program for the Lake Ontario LaMP partners, especially for tributary nutrient and sediment loading to Lake Ontario and helping collect and assess the data needed to remove BUI impairments at the Rochester Embayment and St. Lawrence/Massena AOCs for benthos and phytoplankton impairments.
thumbnail
Description of Work The study will be implemented in two phases due to logistical constraints and the need to incorporate methods developed (and findings) from a comparable investigation underway in another AOC. The first phase will consist of site selection, methods refinement, work-plan development, subcontract assembly, site reconnaissance, and sediment collection which will be done mainly during FY2013. The second phase will consist of macroinvertebrate identification, sediment toxicity testing, data analysis and interpretation, and report preparation and review mainly during FY2014. In brief, we will generate bed sediment toxicity and benthic community data needed to test two related hypotheses that address...
thumbnail
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.)
thumbnail
Description of Work This study will generate bed sediment toxicity and benthic community data needed to test two related hypotheses that address the two criteria for delisting the benthos BUI. The first hypothesis is that bed sediments at selected sample locations in the AOC (in three tributaries and in the St. Lawrence River) are no more toxic to the test species than bed sediments collected from control sites located outside (generally upstream from) the AOC. Acute (survival) and chronic (growth) whole bed-sediment toxicity tests will be conducted using the midge (Chironomus dilutus), following standard methods (USEPA 1994; USEPA 2000). The second hypothesis is that the benthic macroinvertebrate communities from...
View more...
ScienceBase brings together the best information it can find about USGS researchers and offices to show connections to publications, projects, and data. We are still working to improve this process and information is by no means complete. If you don't see everything you know is associated with you, a colleague, or your office, please be patient while we work to connect the dots. Feel free to contact sciencebase@usgs.gov.