Research Project To Construct and Calibrate a GIS Based Model to Predict the Trophic State of More Than 500 Lakes in the Seven-County Twin Cities Metropolitan Area.EPA Grant Number: U915436
Title: Research Project To Construct and Calibrate a GIS Based Model to Predict the Trophic State of More Than 500 Lakes in the Seven-County Twin Cities Metropolitan Area.
Investigators: Anderle, Teresa H.
Institution: University of Minnesota
EPA Project Officer: Lee, Sonja
Project Period: September 24, 1998 through September 1, 2001
Project Amount: $27,242
RFA: STAR Graduate Fellowships (1998) RFA Text | Recipients Lists
Research Category: Academic Fellowships , Engineering and Environmental Chemistry , Fellowship - Civil Engineering
The objective of this research project is to construct and calibrate a GIS-based model to predict the trophic state of more than 500 lakes in the seven-county Twin Cities Metropolitan Area. This work is part of a larger project seeking to characterize past, present, and future water quality in the region by combining remote sensing of lake trophic state and GIS modeling of land use and watershed features.
This model will link watershed characteristics and water quality data with lake characteristics to create a lake eutrophication model based on nonpoint source nutrient inputs. Data collection efforts will focus on watershed characteristics (boundaries, size, and topography), land use, precipitation, water quality of stormwater runoff, and lake characteristics (area, mean depth, and hydraulic retention time). Runoff volumes will be computed from precipitation data and land use-weighted runoff coefficients. Runoff volumes will be combined with runoff nutrient concentrations to develop nutrient export values from the various land uses. These export values will be input into a steady-state lake phosphorus model to predict trophic state. Remotely sensed trophic state data will be used to calibrate the model.
The final product will be a valuable planning and management tool for describing regional water quality patterns and assessing the impact of future urban developments on Twin Cities Metropolitan Area lakes.