The Greater Blue Earth River Basin Alliance (GBERBA) along with Soil and Water Conservation Districts, Counties, landowners, and drainage authorities in the ten member counties will install conservation drainage practices to improve water quality. 103E drainage systems with documented sediment or water quality issues are the focus with the goal of installing 52 practices such as improved side inlets (grade stabilization structures), alternative tile inlets, denitrifying bioreactors, saturated buffers, storage wetlands and others.
The Prioritization, Targeting, and Measuring Water Quality Improvement Application (PTMA) connects the general qualitative strategies in a Total Maximum Daily Load (TMDL) and Watershed Restoration and Protection (WRAP) and the identification of implementable on-the-ground Best Management Practices (BMPs). Leveraging geospatial data from the International Water Institute this application will be developed for two pilot areas within the Red River Basin.
As part of the FY 2012 funding cycle, the Board of Water and Soil Resources granted funds for development of the Water Quality Decision Support Application (WQDSA). The WQDSA will provide land and water managers with geospatial data and online tools to prioritize, market, and implement actions on the landscape to achieve water quality objectives identified in local and state water plans and to ensure that public funding decisions are strategic and defensible.
The goal of this project is to develop a Roseau Lake Water Quality Improvement Report that will include a prioritized, targeted, and measurable implementation plan that will improve water quality in the Roseau Lake watershed. The project will result in development of site specific implementation actions through use of the Prioritize, Targeting, and Measuring Application (PTMApp) and the Drained Wetland Basin Inventory terrain analysis methods.
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.