This project will complete a pollutant source identification and subwatershed information report and support the development of a Draft Restoration and Protection Plan (RAPP). It will also support the devlopment of a Implementation Plan that will identify target areas for BMP implementation for bacteria reductions.
This project will provide the MPCA, CCWD, and all other stakeholders the information and tools necessary to improve the water quality within Coon Creek Watershed District. The improvements will take place using targeted activities throughout the watershed to reduce the primary biological and chemical stressors. In turn, the reduction of these stressors will help to reduce overall loadings of sediment, turbidity, total phosphorus, and E. coli bacteria.
Deer Creek has been identified as an impaired water body. This project will quantify the reductions in pollutant loading that would be necessary to bring water quality in the creek to an acceptable level. The project also includes collection of any additional data needed for stream channel modeling scenarios.
This project will result in the development of a Total Maximum Daily Load (TMDL) for turbidity for Deer Creek and the Nemadji River, and will also define which reaches of the Nemadji basin may be meeting standards for turbidity. It will also allow the Carlton County Soil & Water Conservation District (SWCD) to become a full and active partner in this TMDL study and implementation project as well as future restoration and protection projects.
This project will support Minnesota's condition monitoring strategy through the collection of water quality data on streams and rivers in the Nemadji River watershed. The Nemadji River watershed is located in southeastern Carlton County and northeastern Pine County. Water quality samples will be collected primarily during weather-related events that affect stream flow such as snowmelt and rainfalls.
The goal of this project is to construct, calibrate, and validate three HSPF watershed models. The project will result in HSPF models that can readily be used to provide information to support conventional parameter TMDLs. The models are expected to generate predicted output timeseries for hydrology, sediment, nutrients, and dissolved oxygen which are consistent with available sets of observed data.
The primary goal of this project is to examine the calibration and validation of recently extended Hydrological Simulation Program – FORTRAN (HSPF) watershed models for the Mississippi River-Headwaters, Mississippi River-Grand Rapids, Mississippi River-Brainerd, Mississippi River-Sartell, Mississippi River-St. Cloud, Leech Lake, Pine River, Crow Wing River, Long Prairie River, and Redeye River watersheds and revise the calibration.