Year: 2012
Type: article
Abstract: Toxic cyanobacterial blooms have been documented in the western basin of Lake Erie in the last several years.An algorithm based on a non-negative linear least squares regression was developed to discriminate the cyanobacterial blooms from other harmless phytoplankton blooms and to extract relative concentrations from Medium Resolution Imaging Spectrometer (MERIS) satellite data.Lee's quasi-analytical algorithm (QAA) was used to calculate total absorption and backscattering coefficients.A non-negative least square algorithm was then utilized to discern relative concentrations of Chlorophyta (green algae), phycocyanin (PC)-rich Cyanobacteria (blue-green algae), and colored dissolved organic matter and suspended sediments combined in lake waters using published absorption spectra for these components.Simultaneous field samples collected from the bloom area using fluorometer and High-Performance Liquid Chromatography have been compared with MERIS-derived cyanobacterial and chlorophyll concentrations from 4 scenes acquired in the summers of 2009, 2010 and 2011.There is a significant correlation (R 2 =0.6625, p<0.0001) between MERIS-derived cyanobacterial concentrations and phycocyanin fluorescence concentrations on October 5, 2011 and the correlation for the whole summer is also significant (R 2 =0.5944, p<0.0001).These results This thesis would not have been completed without Dr.Kevin P. Czajkowski and Dr.Richard H. Becker.I would like to thank my advisor Dr. Kevin P. Czajkowski for his patience in correcting my grammar, stylistic and scientific errors, and for his suggestions, assistance and feedback.I would like to thank Dr. Richard H. Becker for his guidance to make the methodology more appealing to get better results
Author: Jie Ren
Institution: University of Toledo
Language: English
Subfield: Environmental Chemistry
Field: Environmental Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2208108310