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Grantee Research Project Results

Development of Alternative Approaches to Assessing the Impact of Pollutants on Environmental Systems: Part 2: Management of Environmental Quality in Urban Watershed Ecosystems

EPA Grant Number: CR830912
Title: Development of Alternative Approaches to Assessing the Impact of Pollutants on Environmental Systems: Part 2: Management of Environmental Quality in Urban Watershed Ecosystems
Investigators: Driscoll, Charles T. , Effler, Steven W. , Seltzer, Geoffrey
Current Investigators: Driscoll, Charles T. , Effler, Steven W.
Institution: Syracuse University , Upstate Freshwater Institute, Inc.
EPA Project Officer: Packard, Benjamin H
Project Period: June 27, 2003 through June 30, 2007 (Extended to June 28, 2009)
Project Amount: $2,993,493
RFA: Targeted Research Grant (2002) Recipients Lists
Research Category: Targeted Research

Description:

Traditional modeling and manual monitoring programs have the inherent shortcoming of delaying the supply of potentially critical information to public health officials and managers. This proposed study will rectify this limitation through the development, integration, demonstration, and application of innovative technologies in water quality monitoring and modeling.

Objective:

Our overall objective is to develop, test, and conduct preliminary demonstrations of an intelligent environmental control system (i-ECS) for a large urban watershed in central New York. Our specific objectives and approaches to achieve these objectives are to: 1) develop and demonstrate the operation of an integrated network of robotic monitoring units to assess temporal and spatial patterns in the quality of water supplies and receiving waters, and support near real time (NRT) modeling; 2) develop a "spill-response" model from an existing framework to simulate the response of water supplies in the urban watershed ecosystem to the introduction of a contaminant; 3) develop and demonstrate NRT water quality forecasting for a portion of the watershed, utilizing a tested model, and driven by inputs from a robotic monitoring network; 4) collect sediment cores and analyze patterns of contaminant deposition to the sediments of lakes within the urban watershed; and 5) demonstrate the power of the robotic monitoring data sets through limnological and process-level studies with these data.

Expected Results:

Through this research, we will expand and enhance www.ourlake.org Exit where expected results from NRT monitoring and modeling will be made available to managers, the scientific community and interested segments of the public.

Publications and Presentations:

Publications have been submitted on this project: View all 47 publications for this project

Journal Articles:

Journal Articles have been submitted on this project: View all 18 journal articles for this project

Supplemental Keywords:

near real time water quality data, nutrients, robotic monitoring, sediments, surface water quality, trace metals, water quality modeling., RFA, Scientific Discipline, Ecosystem Protection/Environmental Exposure & Risk, Water, Watersheds, Monitoring/Modeling, Hydrology, Water & Watershed, Ecology and Ecosystems, Environmental Monitoring, water quality, intellegent environment control system, watershed assessment, ecological models, monitoring, real-time monitoring, water quality model, robotic monitoring, integrated watershed model, ecology assessment models, near real time modeling, modeling, ecosystem modeling, model-based analysis

Progress and Final Reports:

  • 2003 Progress Report
  • 2004
  • 2005
  • 2006 Progress Report
  • 2007
  • 2008 Progress Report
  • Final Report
  • Top of Page

    The perspectives, information and conclusions conveyed in research project abstracts, progress reports, final reports, journal abstracts and journal publications convey the viewpoints of the principal investigator and may not represent the views and policies of ORD and EPA. Conclusions drawn by the principal investigators have not been reviewed by the Agency.

    Project Research Results

    • Final Report
    • 2008 Progress Report
    • 2007
    • 2006 Progress Report
    • 2005
    • 2004
    • 2003 Progress Report
    47 publications for this project
    18 journal articles for this project

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