The goal of the project is the development of an overall strategy for reduction of turbidity/TSS, with sets of sediment reduction initiatives and actions for various sources, to address the Minnesota River Turbidity TMDL and the South Metro Mississippi River TSS TMDL.
The Minnesota River Basin Hydrological Simulation Program FORTRAN (HSPF) models simulate sediment erosion and transport, however these models periodically need to be adjusted to be consistent with the most recent sources of information regarding sediment distribution and loading rates. The goal of this project is to refine the sediment source partitioning and simulation in the Minnesota River basin using all relevant available sources of information.
The Minnesota River Basin Hydrological Simulation Program FORTRAN (HSPF) models, which simulate flow and pollutant transport, need to be refined to be consistent with the most recent external sources of land use, hydrologic response, and surface flow attributions. The primary goal of this work is to refine the hydrologic calibration in the Minnesota River basin.
The goal of this project is to extend existing Hydrologic Simulation Program FORTRAN (HSPF) models through 2017 for the following major watersheds: Redwood, Cottonwood, Watonwan, Blue Earth, Le Sueur, Pomme de Terre, Minnesota River-Headwaters, and Lac Qui Parle watersheds.
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 study will assess existing phosphorus data records and create a model to explain phosphorus loading into the Red River of the North. Studies have found that the majority of nutrient loading in the stream located in agricultural areas occurs with sediment loading since nutrients are typically bound to sediment particles.
