Sponsor
This work was supported by the United States Army Corps of Engineers. Corina Overman held a Selected Professions Fellowship from the American Association of UniversityWomen and a Maseeh Fellowship from the Maseeh College of Engineering and Computer Science.
Published In
Water
Document Type
Article
Publication Date
3-15-2022
Subjects
Cyanobacteria -- Vertical distribution -- Mathematical models, Zooplankton -- Vertical distribution -- Mathematical models, Cyanobacterial blooms -- Oregon -- Dexter Reservoir -- Case studies
Abstract
Cyanobacteria often cause harmful algal blooms and release toxic substances that can harm humans and animals. Accurately modeling these phytoplankton is a step towards predicting, preventing, and controlling such blooms. Certain cyanobacteria species are known to migrate vertically in the water column on a daily cycle. Capturing this behavior is one aspect of modeling their dynamics. Previous studies on modeling cyanobacterial vertical migration are reviewed and summarized. Several models of cyanobacteria vertical movement are tested using data from field studies. These models are applied using both continuum and particle-tracking frameworks. Models range in complexity from simple functions of time to more complicated calculations of cyanobacteria buoyancy. Simple models were often able to predict cyanobacteria migration at low values of vertical diffusion in both types of modeling frameworks. More complicated models of buoyancy change performed better in the particle-tracking framework than in the continuum framework. Analysis of the models developed and tested provides information on the applicability of these models in more complex hydrodynamic and water quality models.
Rights
Copyright (c) 2022 The Authors
This work is licensed under a Creative Commons Attribution 4.0 International License.
Locate the Document
DOI
10.3390/w14060953
Persistent Identifier
https://archives.pdx.edu/ds/psu/37456
Citation Details
Overman, C.;Wells, S. Modeling Cyanobacteria Vertical Migration. Water 2022, 14, 953. https://doi.org/10.3390/w14060953