The goal is to facilitate strategic networking, learning, and implementation in targeted groups to assess, build, and leverage community capacity (i.e. community resources and values) to increase best management practice (BMP) adoption to restore and protect water quality in the Blue Earth River watershed
The project will include lake monitoring on seventeen lakes found in the Mississippi River - Brainerd watershed in East Central Crow Wing County (CWC). The project will be conducted in an effort to gain data on these data-deficient lakes. One of the goals of the CWC Local Comprehensive Water Plan (CWP) is to establish a countywide Comprehensive Monitoring Plan (CMP). Surface water assessment monitoring will enable state 303(d) and 305(b) assessments and provide a better understanding of these lakes.
This project will conduct a 2017 revision of the South Fork Crow River, North Fork Crow River and Sauk River Watershed Hydrological Simulation Program FORTRAN (HSPF) models and review of the Pine River Watershed HSPF model.
The goal of this project is to refine the segmentation, extend the simulation period, and recalibrate an existing Hydrologic Simulation Program FORTRAN (HSPF) watershed model for the Rum River Watershed.
This project is for constructing, calibrating, and validating a Hydrologic Simulation Program FORTRAN (HSPF) watershed models for the Minnesota portions of the Des Moines Headwaters, Lower Des Moines, and East Fork Des Moines watersheds. The model can be used to provide information to support conventional parameter Total Maximum Daily Load (TMDL) reports. This model generates predicted output timeseries data for hydrology, sediment, nutrients, and dissolved oxygen that are consistent with observed data.
Martin Soil and Water Conservation District (SWCD) is proposing to monitor six lakes sites and two stream sites in the Blue Earth River watershed. The lake sites will be monitored by kayak and the stream sites will be monitored from the shore. Sites will be analyzed for field conditions and water chemistry. Martin SWCD will subcontract with Faribault SWCD to monitor fourteen stream sites and with Blue Earth SWCD to monitor one lake site and three stream sites.
This project addresses five reaches of the Minnesota River that have aquatic recreation impairments as identified by high concentrations of E. coli. The project will describe the water quality impairments, complete pollutant source assessments, establish loading capacities and allocations for the impairments, and develop implementation strategies.
Phase 1 of this project is primarily geared towards project planning and coordination among project partners, developing an initial civic engagement strategic plan, holding a watershed kick-off meeting, and gathering and summarizing available water quality data.
Several important milestones will be completed during this phase of the Mississippi River (Headwaters) Watershed Restoration and Protection Strategy (WRAPS) project. These milestones will include the completion of the Stressor ID & Watershed Monitoring and Assessment Reports, the completion of the Zonation Modeling watershed priority planning process (through the continuation of the Civic Engagement project component), and the development of the overall WRAPS report.
Several important milestones will be completed during this Phase (Phase II) of the Mississippi River (Headwaters) Watershed Restoration and Protection Strategy (WRAPS) project. These milestones will include the completion of the Stressor ID & Watershed Monitoring and Assessment Reports, the completion of the Zonation Modeling watershed priority planning process (through the continuation of the Civic Engagement project component), and the development of the overall WRAPS report.
The goal of this project is to refine the nutrient and algae simulation in the Minnesota River basin using all relevant available sources of information. The outcome of this work order is a revised Hydrological Simulation Program – FORTRAN (HSPF) watershed model application for the Minnesota River basin that correctly represents nutrient sources and algae.
This project is a continuation of a Total Maximum Daily Load (TMDL) study that addresses lake eutrophication (phosphorus) in two lakes that are on the 2014 United States Environmental Protection Agency 303(d) list of impaired waters, located in the Pine River Watershed. The contractor will be responding to public comment on the Pine River TMDL.
The purpose of this project is to address Environmental Protection Agency (EPA) comments on the pre-public notice draft Total Maximum Daily Load (TMDL) report that were received by Minnesota Pollution Control Agency (MPCA) in January 2016.
In 2017 and 2018, Redwood-Cottonwood Rivers Control Area (RCRCA) will collect water chemistry samples from the 10 lakes and 24 stream sites identified in the Redwood and Cottonwood River watersheds. Six samples will be collected at 10 lakes from May through September in 2017; five samples will be collected at 5 lakes in 2018 from May through September. Eleven samples will be collected at each of the 24 stream sites following the Basic Regime in 2017. Sixteen samples at each stream site will be collected in 2017 and 2018 following the E.coli monitoring regime.
This project will focus on Watershed Restoration and Protetion Strategy (WRAPS) and Total Maximum Daily Load (TMDL) report development for the Rum River Watershed, which includes Mille Lacs Lake (the second largest lake in Minnesota) and the Rum River of which Mille Lacs Lake is the headwaters. The project will produce a plan that partners and citizens will be able to implement, a framework for citizen engagement, and a set of watershed management activities that will achieve water quality standards for all impairments within the watershed.
The goal of this project is to conduct water quality monitoring at the ten lakes within the Todd County portions of the Mississippi River Brainerd and the one lake within the Todd County portion of the Mississippi River Sartell. Sampling will be done once per month between May 2016 and September 2016 and then again once per month May 2017 through September 2017.
This project will extend the simulation period for the Hydrological Simulation Program - FORTRAN (HSPF) models for the Grand Rapids, Brainerd, Crow Wing, Redeye, Long Prairie, Sartell, Sauk, St. Cloud, and Crow watersheds, and review and comment on the calibration.
This project will extend, calibrate, and validate watershed models using the Hydrological Simulation Program - FORTRAN (HSPF) watershed model for the Mississippi Headwaters, Leech Lake, Pine, and South Fork Crow Watersheds.
The primary goal of this project is to examine the calibration and validation of recently extended Hydrological Simulation Program – FORTRAN (HSPF) watershed models for the Mississippi River-Headwaters, Mississippi River-Grand Rapids, Mississippi River-Brainerd, Mississippi River-Sartell, Mississippi River-St. Cloud, Leech Lake, Pine River, Crow Wing River, Long Prairie River, and Redeye River watersheds and revise the calibration.
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).
Trained staff will help assure the water chemistry data that is collected is of good quality. After the 1 day training events participants will be able to calibrate sonde water quality monitoring sensors in a lab or field setting, deploy the calibrated sonde to collect water chemistry, store sondes properly during non-field season and perform preventative maintenance or simple troubleshooting actions with the help of tech support. This will be satisfied by two different training events held in 2017.
