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.
The purpose of this project is to develop a framework to implement best management practices (BMPs) on ditches in headwater areas utilizing a partnership between drainage staff and the Greater Blue Earth River Basin Alliance (GBERBA). By replacing failing side-inlets with an alternative design, we can make strides towards our water quality and water quantity goals. The alternative inlets serve to prevent sediment and phosphorus from washing downstream and the design can also alleviate peak flows by temporarily storing stormwater.
The goal of this project is to extend existing Hydrologic Simulation Program FORTRAN (HSPF) models through 2017 for the following major watersheds: Redwood, Cottonwood, Watonwan, Blue Earth, Le Sueur, Pomme de Terre, Minnesota River-Headwaters, and Lac Qui Parle watersheds.
In conjunction with the Watonwan Major Watershed Project engagement process, create a contact strategy for community/landowner opportunities, obstacles, and opinions on land management and water quality that will result in the identification of restoration and protection strategies for the Watonwan River watershed.
Develop a network of informed citizens, business people, community leaders and others capable of acting collectively to get work done in a sustained, strategic and meaningful way through a sense of shared ownership in the water resource management process.
With the completion of LiDAR data in southern Minnesota, it is imperative to use this data as effectively as possible. In order to do so, the Greater Blue Earth River Basin Alliance (GBERBA) will contract with a vendor to complete a Geographic Information System (GIS) terrain analysis in subsheds of the Watonwan River watershed. This inventory will utilize the State of Minnesota LiDAR elevation datasets to create many GIS datasets by spatially analyzing the elevation data.