Crow Wing County, in cooperation with the municipalities within the County, plans to continue its successful well sealing program that pays 50% of the cost to seal unused/abandoned wells up to a maximum of $1000 per well. The amount of funding requested is $31,000 which is estimated to allow for the sealing of 80-100 wells. From 2012 to 2015, Crow Wing County sealed 65 wells as part of an earlier MDH well sealing grant from the Clean Water Fund. Priority will be given to wells located in or near existing wellhead protection areas.
The goal of this project is to refine the segmentation, extend the simulation period, and recalibrate an existing Hydrologic Simulation Program FORTRAN (HSPF) watershed model for the Rum River Watershed.
Lake George is the premier recreational lake in Anoka County with above average water quality, a vibrant fishery, and a large regional park and beach that is among the most utilized in the county. Located in northwestern Anoka County within the Upper Rum River Watershed Management Organization (URRWMO), the Lake George Improvement District (LGID) was formed to tend to the lake's diminishing water quality and problematic invasive species.
This project will focus on Watershed Restoration and Protetion Strategy (WRAPS) and Total Maximum Daily Load (TMDL) report development for the Rum River Watershed, which includes Mille Lacs Lake (the second largest lake in Minnesota) and the Rum River of which Mille Lacs Lake is the headwaters. The project will produce a plan that partners and citizens will be able to implement, a framework for citizen engagement, and a set of watershed management activities that will achieve water quality standards for all impairments within the watershed.
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.
