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.
This project will support water quality monitoring and data analysis in nine major watersheds (8-digit Hydrologic Unit Codes) of the Lower Red River Basin. The monitoring will assist in providing water chemistry data needed to calculate annual pollutant loads for the Major Watershed Load Monitoring Program (MWLMP) and provide short term data sets of select parameters to other MPCA programs.
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.
