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Forecasting Shifts in Water Quality as Land Use Patterns Change

Water quality usually deteriorates proportionally to increases in the  amount of land sealed by roofs and pavement within a watershed. Thanks  to the power of computerized mapping programs, land use (city or  farm), land cover (bog or forest), and other spatial features can be  quickly quantified. Associating such land information with aquatic  data, researchers will determine how detailed mapping information must  be to accurately predict water quality conditions in 18 North Shore  streams. They will create a model for forecasting water quality based  on landscape variables acquired through archived information and new  data collected during field studies. After identifying which variables  most influence the model, researchers will use the model to examine  how various plans for building in the Amity and Lester watersheds of  Lake Superior could affect water quality. The results of this  investigation will help city planners, county zoning committees,  resource managers, and citizens make decisions about land use with  regard to water quality.

Status
In progress
Type
Project
Start Date
End Date
Researchers
Lucinda JohnsonPrincipal Investigator
Associated with 4 projects
Richard AxlerResearcher
Associated with 2 projects
Dan BrenemanResearcher
Associated with 1 projects
Tom HollenhorstResearcher
Associated with 1 projects
Agencies

Funding 30 projects for a total of $2,568,917.00
Scope of Study
Field Investigation
Scale of Phenomena
Community
Ecosystem
Landscape
Physical/Chemical
Lake Basin Connecting Channels
Lake Superior
State Province
Minnesota
Annex Numbers
Pollution from Non-Point Sources
Research & Development
Annex 17
Load reduction models for GL System pollutants
Physical and transformational processes affecting delivery of pollutants
General
Annex
  • Annex Numbers
    Annex Numbers
    Pollution from Non-Point Sources
    Research & Development
  • Annex 17
    Annex 17
    Load reduction models for GL System pollutants
    Physical and transformational processes affecting delivery of pollutants

The Great Lakes - St. Lawrence Research Inventory is an
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up-to-date information about research projects in the
Great Lakes - St. Lawrence Region.