This is the second phase of building the Hydrologic Simulation Program FORTRAN (HSPF) model for the Buffalo River watershed. The project will result in a completed model including necessary calibration and validation phases.
This project will continue to develop, and calibrate/validate the hydrology of an Hydrological Simulation Program FORTRAN (HSPF) watershed model for the Buffalo 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.
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.
The goal of this project is to construct, calibrate, and validate a watershed model using HSPF. RESPEC will produce a HSPF model that can readily be used to provide information to support conventional parameter TMDLs.
This project will complete the development of two watershed HSPF models for the Mustinka River and Bois de Sioux River watersheds. These calibrated and validated executable models will simulate hydrology at the 12-digit HUC subbasin scale.
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. The consultant will clearly demonstrate that this model generates predicted output timeseries for hydrology, sediment, nutrients, and dissolved oxygen which are consistent with available sets of observed data.