The AgBMP Loan Program provides needed funding for local implementation of clean water practices at an extremely low cost, is unique in its structure, and is not duplicated by any other source of funding. The AgBMP loan program provides 3% loans through local lenders to farmers, rural landowners, and agriculture supply businesses. Funds are used for proven practices that prevent non-point source water pollution or solve existing water quality problems.
The purpose of this project is to improve understanding of primary productivity in the Red River and the diversity and population structure of the algal communities occurring along the river system. This will be accomplished through taxonomic identification of periphyton and phytoplankton assemblages necessary for characterizing responses to nutrient gradients along the Red River of the North.
Approximately 70 percent of all Minnesotans rely on groundwater as their primary source of drinking water. Wells used for drinking water must be properly sealed when removed from service to protect both public health and Minnesota’s invaluable groundwater resources. The Minnesota Department of Health protects both public health and groundwater by assuring the proper sealing of unused wells.
Clean Water funds are being provided to well owners as a 50% cost-share assistance for sealing unused public water-supply wells.
The lack of sewage treatment in many small communities in Southeast Minnesota is causing surface water and groundwater pollution. Fourteen of these small communities will receive technical assistance provided by this project. These communities have community or individual straight pipes which are discharging raw sewage directly to the environment, surfacing sewage, or have sewage contaminating groundwater.
To be able to manage resources in the Blue Earth and Le Sueur Watersheds into the future and have a positive effect on water quality, resource managers need high quality accurate data to support decision making of best management practice (BMP) implementation. Digital elevation data is a valuable resource for modeling water flow, however in its current state it cannot represent water conveyance through features such as roadways. These flow barriers limit the accurate use of data for recently developed targeting tools identifying BMP suitability and effectiveness down to the field scale.