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 Aitkin County Soil and Water Conservation District will partner with local lake associations and other eligible community partners to reduce the impacts of storm water runoff and retain water on the land. We will implement a mini-grant program that will install rain gardens and native vegetation buffers along shorelines using deep-rooted native vegetation that will filter runoff, promote infiltration, and control stormwater runoff and soil erosion.
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 Pine County SWCD project will collect complete sets of water quality data for the Kettle River and some of its tributaries and also collect complete sets of water quality data for six area lakes (Oak, Dago, Rhine, Elbow, Rock, and Lake Eleven).
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.