The grant will use local data to develop stormwater planning options that prioritize, target, and measure the effectiveness of Best Management Practices and allow local city officials to make decisions on stormwater Best management Practices that reduce pollutants in the stormwatershed.
"This proposal is to monitor all MPCA target streams and lake sites in the Upper Mississippi Grand Rapids watershed located within Itasca County. Itasca County SWCD has been working collaboratively with MPCA in its intensive watershed monitoring effort on a number of grants to assess the overall health of our water resources and to identify waters with impairments along with those in need of additional protection to prevent future impairments.
This project is a cooperative effort between Crow Wing and Itasca County to contract with RMB Laboratories to generate 65 lake assessment/trend analysis reports. The watershed protection model is an innovative and proactive approach to water resource management which is geared towards prioritizing areas of concern, targeting implementation strategies, and measuring their effectiveness. These assessments are also useful and understandable tools for lake associations and the public.
This project supports monitoring and assessment activities by MPCA EAO staff and includes lab analysis, equipment, fieldwork, data management, and interpretation expenses associated with monitoring and assessment activities.The ambient groundwater monitoring network describes the current condition and trends in Minnesota's groundwater quality.
The goal of phase 1 of this project is primarily to support organizational planning and coordination among project partners, forming and training a civic engagement team, creating a civic engagement strategic plan, holding two watershed kick off meetings and gathering and summarizing available water quality data. The completion of phase 1 will help provide significant momentum towards the completion of the future phases of the Watershed Restoration and Protection Strategy (WRAPS) process.