About OurLake
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History and Funding Sources

The Central New York's Near-Real-Time Surface Water Quality Network was created in 2000 from an USEPA EMPACT Metro Grant.  The network originally involved three robotic buoys on Onondaga Lake and the Seneca River. In 2002, the network was extended with an USEPA EMPACT Technology Transfer Grant adding robotic buoys on Otisco and Skaneateles Lakes. The New York STAR Grant Program and the Syracuse Center of Excellence (CoE) in Environmental and Energy Systems provided for an additional buoy on the Seneca River.  The Onondaga Lake Partnership provided a sustaining grant for the operation of the Onondaga Lake and two of the Seneca River buoys from 2002-2004.  A USEPA grant has provided for continued coverage of these systems.   The Owasco Lake buoy was purchase by the Institute for the Application of Geospatial Technology at Cayuga Community College (IAGT).   The robotic monitoring hut on Onondaga Creek grant by the US EPA American Indian Environmental Office, through the Onondaga Nation and the Onondaga Lake Cleanup Corporation (OLCC).

Project Goals

  1. apply and advance innovative techniques to meet present and future monitoring needs for the aquatic systems within the network
  2. demonstrate the temporal and spatial patterns found in these diverse freshwater systems
  3. evaluate the utility of this technology for integration into long-term monitoring and management programs for these, and other, New York State surface water systems
  4. facilitate the community’s understanding of the lakes and their surrounding watersheds.

Project Objects

  • to deploy advanced remote sampling systems, equipped with an array of sensors/probes.
  • to implement and maintain an appropriate data management/delivery/QA program, for measurements made with the robotic systems
  • to operate and maintain the robots
  • to conduct ground-truth measurements to support QA
  • to design, operate, and maintain a web site that will report the remotely collected data in near-real-time (NRT) from these systems
  • advancement and application of data visualization tools tailored to these data
  • to provide information that assists stakeholders in gleaning useful information from the near-real-time data

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Last Modified: Tuesday, July 01, 2008

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