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).
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.
Starting in 2016 the Minnesota Pollution Control Agency (MPCA) will be collecting monitoring data on many lakes and streams in the Kettle River and Upper Saint Croix Watersheds. While this information will be useful to assess the overall health of the watershed, it will miss locations in the watershed that can provide critical information to local implementers, local governments, and citizens.
The goal of this project is the continued development of an overall strategy for reduction of turbidity/TSS, with sets of sediment reduction initiatives and actions for various sources, to address the Minnesota River Turbidity TMDL and the South Metro Mississippi River TSS TMDL. The overall strategy will be used to help establish a path towards achieving the required reductions of turbidity/TSS.
The project goal is to assist the Minnesota Pollution Control Agency (MPCA) with meeting the objectives of the Surface Water Assessment Grant (SWAG) to conduct field and water chemistry monitoring at MPCA specified lake sampling locations and stream locations. This will be accomplished by collecting water samples at seven lake sites and eight streams in the Kettle and Upper St. Croix Watersheds, as well as compiling and submitting the required data, information and reports.
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.