This project will establish a framework with County, Soil and Water Conservation District and watershed staff that will outline their involvement throughout the development of the Watershed Restoration and Protection Strategy (WRAPS) for the Cottonwood River and Redwood River watersheds.
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 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 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.
The goal of this project is to establish load reduction requirements for impaired waters and to develop restoration strategies to improve water quality for impaired waters and protection strategies to maintain the quality of water for water bodies meeting standards.
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.
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.
The goal of this project is to complete the construction, calibration, and validation of a Hydrological Simulation Program FORTRAN (HSPF) watershed model for the Otter Tail River watershed. The contractor will produce an HSPF model that can readily be used to provide information to support conventional parameter Total Maximum Daily Load (TMDL) Studies. The model will generate predicted output for hydrology, sediment, nutrients, and dissolved oxygen that is consistent with observed data.
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.
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 goal of this project is to collect real-time, parameter data for specific conductance, water temperature, pH, dissolved oxygen, turbidity, and stream flow at the United States Geological Survey (USGS) gaging stations located at Fargo and Grand Forks, ND on the Red River of the North. The data will be published on the USGS National Water Information System (NWIS) website.
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 goal of this project is the completion of a Hydrological Simulation Program FORTRAN (HSPF) watershed model for the Upper Red River watershed in the Red River Basin. This includes the construction, calibration, and validation of the model for hydrology and water quality parameters.
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 is a joint project between the United States Geological Survey (USGS), Minnesota Pollution Control Agency (MPCA), North Dakota, and Manitoba. The project is a basin-wide, up-to-date water quality trend analysis using the "QWTrend" program for approximately 40 bi-national river sites to review nutrients, total suspended solids, total dissolved solids, sulfate and chloride from 1980 - 2015.
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.