The DNR is working with local communities and an interagency team to define, prioritize, and establish groundwater management areas in Minnesota. Groundwater management areas will have increased data collection and monitoring that allow the state and local communities to understand water supplies, uses, limitations, and threats to natural resources that depend on groundwater. This information will support detailed aquifer protection plans that ensure equitable and sustainable groundwater and drinking water use for the future.
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 determine the magnitude and sources of pollutants in Little Rock Creek and will estimate the reductions in loadings that are needed in order for the stream reaches to support cold water fish assemblages and attain water quality standards.
The goal of this project is to construct, calibrate, and validate five Hydrologic Simulation Program FORTRAN (HSPF) watershed models. The outcome will be HSPF models that can readily be used to provide information to support conventional parameter TMDLs. These models will generate predicted output timeseries for hydrology, sediment, nutrients, and dissolved oxygen which are consistent with available sets of observed data.
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.
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.
The purpose of the project is to collect data to represent the ambient condition of the lakes and streams of the Rum River Watershed within Mille Lacs, Isanti and Sherburne Counties that is needed to determine if thresholds set to protect designeated uses, such as aquatic recreation and aquatic life, are being met .
This project will extend the simulation period for the Hydrological Simulation Program - FORTRAN (HSPF) models for the Grand Rapids, Brainerd, Crow Wing, Redeye, Long Prairie, Sartell, Sauk, St. Cloud, and Crow watersheds, and review and comment on the calibration.
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.
This project delineates and maps watersheds (drainage areas) of lakes, rivers, streams, and wetlands for the state of Minnesota and provides watershed maps in digital form for use in geographic information systems. These maps become the basis for clean water planning and implementation efforts.
The DNR's Regional Clean Water Specialists and Area Hydrologists work with other state agencies and local partners to help identify the causes of pollution problems and determine the best strategies for fixing them. A statewide coordinator works with the DNR and external partners to ensure funds are spent in the most effective and efficient manner to meet the State's clean water goals.
The DNR provides technical support to watershed managers and landowners regarding drainage issues. Drainage experts are using a state of the art computer model to look at cumulative impacts of drainage and land-use practices and determine the benefits of site-specific best management practice. This work is with multiple partners and at multiple scales.