Between Dec 19, 2024 and Jan 2, 2025, datasets can be submitted to DRUM but will not be processed until after the break. Staff will not be available to answer email during this period, and will not be able to provide DOIs until after Jan 2. If you are in need of a DOI during this period, consider Dryad or OpenICPSR. Submission responses to the UDC may also be delayed during this time.

Browsing by Subject "Dissolved oxygen"

Now showing 1 - 3 of 3
  • Thumbnail Image
    Item
    Estimation of community oxygen production and demand in the Mississippi river at St. Paul, Minnesota, by use of a dissolved oxygen routing model
    (1983-02) Stefan, Heinz G.; Toso, Joel W.; Rodney, Mark W.
    Dissolved oxygen production and consumption in two reaches of the Upper Mississippi River at St. Paul were determined from diel1 dissolved oxygen measurements by a routing method. One reach was above the Metro Wastewater Treatment Plant (WWTP) outlet, the other below it. Dissolved oxygen, water temperature, and river flow were measured by the USGS on July 13--14 and August 10-11, 1982. Weather data (wind and solar radiation) were collected simultaneously by the authors. The numerical dissolved oxygen routing model (DORM) developed for the Environmental Protection Agency (EPA) with data from the Monticello Ecological Research Station (MERS) was adapted to the much larger Mississippi River system.
  • Thumbnail Image
    Item
  • Thumbnail Image
    Item
    Study of mass transfer across hydrofoils for use in aerating turbines
    (2013-09) Monson, Garrett M.
    Hydroelectric projects often have a low tailwater dissolved oxygen (DO) concentration. Low DO levels negatively impact the biota of the water body and are often regulated. Auto-Vented Turbines (AVTs) are one form of DO mitigation that is typically successful and cost-effective. Saint Anthony Falls Laboratory (SAFL) at the University of Minnesota (UMN) is partnering with the Department of Energy (DoE) and Alstom Engineering to conduct research developing a conventional hydropower turbine aeration test-bed for computational routines and a software tool for predicting the DO uptake of AVTs. The focus of this thesis is on the development of the test-bed through the conduct of physical experiments focused on measuring mass transfer across bubbles in various flow conditions. This test-bed will be a valuable database for verification of numerical models of DO uptake. Numerical models can simulate the parameters of the water tunnel and experimental set-up, then verify their accuracy by simulating the air entrainment rate, bubble size and mass transfer of the test-bed. The findings presented herein can lead to further optimization of AVTs, as well as reduce cost and regulatory uncertainty prior to hydropower relicensing or development.