This project will maximize the utility and usefulness of three HSPF models that have been constructed and calibrated for hydrology. The contractor will identify and reduce parameterization errors in the following three HSPF models: 1) Buffalo River Watershed, 2 ) Thief River Watershed, 3) Bois de Sioux-Mustinka Watersheds. This will result, not only in a better hydrology calibration, but will also improve each of the models’ ability to more accurately estimate sediment and pollutant loads and concentrations.
This project will continue to develop, and calibrate/validate the hydrology of an HSPF watershed model for the Thief River watershed. The consultant will add representation of point source discharges to the model. The consultant will compile flow data for the purposes of calibration and validation. An initial hydrologic calibration will be performed and submitted for approval. The consultant will produce an HSPF watershed model that can readily be used to provide information to support conventional parameter TMDLs.
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 extend, calibrate, and validate the existing Hydrological Simulation Program – FORTRAN (HSPF) watershed models in the Red Lake River, Thief River, Clearwater River and Red Lake watersheds.
This project will finalize the Hydrologic Simulation Program FORTRAN (HSPF) watershed model construction and complete the calibration/validation process. The consultant will produce an HSPF watershed model that can readily be used to provide information to support conventional parameter TMDLs.