Water--Dissolved oxygen

Model
Digital Document
Publisher
Florida Atlantic University
Description
Pond aquaculture accounts 65% of global finfish production. A major factor limiting pond aquaculture productivity is fluctuating oxygen levels, which are heavily influenced by atmospheric conditions and primary productivity. Being able to predict DO concentrations by measuring environmental parameters would be beneficial to improving the industry’s efficiencies. The data collected included pond DO, water temperature, air temperature, atmospheric pressure, wind speed/direction, solar irradiance, rainfall, pond Chl-a concentrations as well as water color images. Pearson’s correlations and stepwise regressions were used to determine the variables’ connection to DO and their potential usefulness for a prediction model. It was determined that sunlight levels play a crucial role in DO fluctuations and crashes because of its influence on pond heating, primary productivity, and pond stratification. It was also found that image data did have correlations to certain weather variables and helped improve prediction strength.
Model
Digital Document
Publisher
Florida Atlantic University
Description
This pilot study was conducted to determine if an Electron Magnetics Oxygen and Hydrogen (EMOH) device can increase the dissolved oxygen (DO) concentration of a residential surface water. By using EMOH, DO concentration will increase and allow bacteria to remove the substrate that creates blue-green algae for which the City of Boynton Beach (City) receives complaints. Those complaints center on odors and the visual appearance of the ponds. The study was conducted in-situ at the INCA Pond system in the City of Boynton Beach, Florida with data collection taking place bi-weekly, using surface aeration techniques. Water sampling was conducted in the INCA Pond system via a handheld water sensor. Primary variable monitored included: water temperature, barometric pressure, DO concentration, and DO saturation (DOSAT). Biomass of dead algae at the bottom of the pond was also monitored to determine if increased DO concentration aided the biological digestion of the organic matter. Data analysis shows that exposure to EMOH treatment allowed the relationship between DO and temperature to change from a negative correlation (the expected relationship) to a positive trend. Furthermore, pressure and DOSAT became less correlated after exposure to EMOH effluent. In all, EMOH was shown to be an effective means of treating hypoxic pond water. The optimal EMOH effluent discharge is determined to be deep in the subject pond. Backed by research on the surface-air water and bubble-water oxygen transfer coefficients, DO concentration in the subject pond was 110% higher when effluent was directed down toward the floor of the pond.