The goal of this project is to construct, calibrate, and validate five Hydrologic Simulation Program FORTRAN (HSPF) watershed models. The outcome will be HSPF models that can readily be used to provide information to support conventional parameter TMDLs. These models will generate predicted output timeseries for hydrology, sediment, nutrients, and dissolved oxygen which are consistent with available sets of observed data.
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.
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.