These funds are being used to systematically collect data and produce statistically valid estimates of the rate of soil erosion and tracking the adoption of high residue cropping systems in in the 67 counties with greater than 30% land in agricultural row crop production. Designed to establish a long term program in Minnesota to collect data and produce county, watershed, and state wide estimates of soil erosion caused by water and wind along with tracking adoption of conservation measures to address erosion.
These funds are being used to systematically collect data and produce statistically valid estimates of the rate of soil erosion and tracking the adoption of high residue cropping systems in counties with greater than 30% land in agricultural row crop production. Designed to establish a long term program in Minnesota to collect data and produce county, watershed, and state wide estimates of soil erosion caused by water and wind along with tracking adoption of conservation measures to address erosion.
With over 500 public water lakes in Becker County, we are blessed with abundant and diverse lake resources that, like those of much of lake country, are at risk of degradation due to increasing development pressures, redevelopment of non-conforming lots, rising stormwater runoff and land use changes within their watersheds.
This project is for Minnesota Legislative Clean Water Fund funding to engage citizens in local watershed monitoring, to work with regional partners to promote understanding and protection of watersheds, and to organize and facilitate gathering of scientific data all for the benefit of water quality in the Red River Basin.
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.
An effective regulatory program is key to the successful implementation of local land use and water management plans. Yet, county, watershed, and other state, tribal, and local agencies charged with enforcement and permit review often work in silos and infrequently coordinate with each other or share information. This leads to higher enforcement costs, conflicts between agencies, redundancy of inspections, property owner frustration, and reinforces negative stereotypes of regulatory agencies.
This project will collect water samples at seventeen monitoring locations ranging in size from 23,173 acres (7 Mile Creek) to over 9 million acres (Minnesota River at St. Peter) as a part of the Watershed Pollutant Load Monitoring Network (WPLMN). The Minnesota State University - Water Resources Center (WRC) has been directly involved with the program and is familiar with the streams and hydrology of the region. In addition to monitoring, the WRC will review, manage and submit the data in formats provided by the Minnesota Pollution Control Agency (MPCA).
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.