The MPCA has identified 13 stream sites in the watershed to characterize watershed water quality. This project will supplement and complement the identification of the top 50 sites in the watershed that are contributing to water impairment and also help in identification of priority watersheds in the re-write of the watershed comprehensive plan. Water samples and field measurements will be collected at each monitoring location ranging from baseline events to high flow events.
This project will monitor six sites within the Minnesota River Basin: Hawk Creek near Maynard, Hawk Creek near Granite Falls, Beaver Creek near Beaver Falls, Yellow Medicine River near Granite Falls, Yellow Medicine River near Hanley Falls, and Spring Creek near Hanley Falls. The sites will be monitored according to MPCA’s Major Watershed Load Monitoring (WPLMN) Standard Operating Procedure, which is the procedure being followed for sites currently monitored by the Hawk Creek Watershed Project (HCWP).
This project will complete spatial and temporal revisions , recalibration and validation of 7 watershed HSPF models. These fully functioning calibrated validated executable models will simulate hydrology, sediment (sand, silt, and clay), temperature, phosphorus, nitrogen, dissolved oxygen, biochemical oxygen demand, and algae at the 12-digit HUC subbasin scale (or finer).
This project will construct, calibrate, and validate an HSPF watershed model for the Zumbro River watershed. The consultant will produce HSPF watershed models that can readily be used to provide information to support conventional parameter Total Maximum Daily Load (TMDLs). The consultant will clearly demonstrate that the models generate predicted output timeseries for hydrology, sediment, nutrients, and dissolved oxygen that are consistent with available sets of observed data.
This project will continue the offering of low-interest loans to citizens, some of whom may not be able to acquire funding otherwise, for upgrading 50 septic systems to ensure compliance with state rules. Grant funds will be used to administer the low-interest loan program.
This project will develop a watershed wide Total Maximum Daily Load (TMDL) study and River Eutrophication Standard (RES) TMDL report for water quality impairments in the Des Moines River basin, which includes the Des Moines River Headwaters, Lower Des Moines River, and East Fork Des Moines River watersheds.
The Minnesota DNR and the Minnesota Forest Resources Council work with forest landowners, managers and loggers to implement a set of voluntary sustainable forest management guidelines that include water quality best management practices (BMPs) to ensure sustainable habitat, clean water, and productive forest soils, all contributing to healthy watersheds. This project will monitor the implementation of these forest management guidelines and BMPs on forested watersheds in MN.
The MPCA has selected the Soil and Water Assessment Tool (SWAT) watershed model to simulate watershed hydrology and water quality to assess various restoration scenarios in the Little Cannon River watershed. The SWAT model is an important tool in developing an understanding of existing conditions and simulating conditions under various management scenarios to inform the development of implementation strategies and plans to restore and protect streams and lakes.
This project will create a high accuracy elevation dataset - critical for effectively planning and implementing water quality projects - for the state of Minnesota using LiDAR (Light Detection and Ranging) and geospatial mapping technologies. Although some areas of the state have been mapped previously, many counties remain unmapped or have insufficient or inadequate data. This multi-year project, to be completed in 2012, is a collaborative effort of Minnesota's Digital Elevation Committee and partners with county surveyors to ensure accuracy with ground-truthing.
This project was part of a three-state partnership to test, demonstrate and promote a simple, inexpensive and reliable new system for edge-of-field water monitoring. The University of Wisconsin-Platteville Pioneer Farm, in collaboration with UW-Platteville Engineering, has developed a low cost monitoring system that can obtain good quality, edge-of-field monitoring data in agricultural settings. By eliminating unnecessary features and assembling components in-house, the prototype monitoring system derives the majority of cost savings with minimal sacrifice in accuracy.