This project will construct, calibrate, a set of HSPF watershed models covering the entire area of the Lake of the Woods drainage, including the Rainy River watershed. The consultant will produce HSPF models that can readily be used to provide information to support conventional parameter TMDLs. The consultant will clearly demonstrate that these models generate predicted output timeseries for hydrology which are consistent with available sets of observed data.
The Drinking Water Contaminants of Emerging Concern (CEC) program identifies environmental contaminants for which current health-based standards currently do not exist or need to be updated, investigate the potential for human exposure to these chemicals, and develop guidance values for drinking water. Contaminants evaluated by CEC staff include contaminants that have been released or detected in Minnesota waters (surface water and groundwater) or that have the potential to migrate to or be detected in Minnesota waters.
Construct, calibrate, and validate three Hydrologic Simulation Program FORTRAN (HSPF) watershed models that can readily be used to provide information to support conventional parameter Total Maximum Daily Loads (TMDLs).
This project will gather watershed data necessary for the development of a comprehensive watershed management plan with parameter-specific thresholds that will maintain or improve water quality for the Kawishiwi Watershed.
The purpose of this work is to develop Total Maximum Daily Loads (TMDLs; a federal clean Water Act requirement) for streams and lakes in the Kettle River and Upper St. Croix watersheds. This and other technical information will be used to develop a separate report called a Watershed Restoration and Protection Strategy (WRAPS) report.
The goal of this project is to calibrate, and validate three watershed models using the Hydrological Simulation Program FORTRAN (HSPF) model. The contractor will produce HSPF watershed models that can be further developed to provide information to support conventional parameter TMDLs. The contractor will clearly demonstrate that the models generate predicted output timeseries for hydrology, sediment, nutrients, and dissolved oxygen which are consistent with available sets of observed data.