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Cyanotoxin occurrence associated with cyanoHAB events on an inland reservoir
Citation:
Allen, Joel, J. Shoemaker, J. Lu, J. Santodomingo, C. Nietch, M. Elovitz, Alan Lindquist, Dan Tettenhorst, T. Sanan, K. Daniels, M. Varner, T. Neyer, S. Guglielmi, A. Bresser, AND M. Mitchell. Cyanotoxin occurrence associated with cyanoHAB events on an inland reservoir. To be Presented at SETAC Annual Conference 2016, Orlando, FL, November 06 - 10, 2016.
Impact/Purpose:
Present information regarding study conducted on Lake Harsha cyanoHAB event of 2015
Description:
A monitoring approach combining wet chemistry and high frequency (HF) water quality sensors was employed to improve our understanding of the ecology of an inland reservoir with a history of cyanoHAB events. The study was conducted with samples collected from Lake Harsha, is a multi-use reservoir in southwest OH that has experienced an increase in cyanoHAB frequency and intensity. Nutrient, algal taxa, chlorophyll-a, and physico-chemical data have been collected on the lake since 2010 at three week intervals. Beginning in 2014 in cooperation with Clermont County Drinking Water Division, a high frequency (HF) monitoring program was implemented to complement the tri-weekly data and provide DWTP operators time-relevant information regarding source water quality. HF data included in-vivo fluorescence and physico-chemical parameters and were collected at two locations. These data, coupled with microcystin (MC) analyses demonstrated the utility of HF data for tracking the cyanoHAB status of the reservoir. It was also apparent that MC concentrations were potentially underestimated as MC sampling did not coincide with bloom peaks indicated by the HF data. To better characterize the cyanobacterial population and both intracellular and extracellular MC production, an intensive sampling regime was implemented in 2015 and 2016 including LC-MSMS analysis of select MC congeners and a total MC surrogate, cylindrospermopsin, and anatoxin-a, MC ELISA quantification, molecular (i.e., nucleic acid-based) analyses, inhibition assays, nutrients, chlorophyll-a, total organic carbon, and nutrients. Samples were collected weekly except during the initial bloom in June, when samples were collected daily. This approach allowed for the characterization of the cyanobacterial population dynamic and greatest periods of MC production. Data and observations for the 2015 season will be presented.
