Journal article
Simulating chlorophyll-a fluorescence changing rate and phycocyanin fluorescence by using a multi-sensor system in Lake Taihu, China
J Yang, A Holbach, MJ Stewardson, A Wilhelms, Y Qin, B Zheng, H Zou, B Qin, G Zhu, C Moldaenke, S Norra
Chemosphere | PERGAMON-ELSEVIER SCIENCE LTD | Published : 2021
Abstract
Algal pollution in water sources has posed a serious problem. Estimating algal concentration in advance saves time for drinking water plants to take measures and helps us to understand causal chains of algal dynamics. This paper explores the possibility of building a short-term algal early warning model with online monitoring systems. In this study, we collected high-frequency data for water quality and weather conditions in shallow and eutrophic Lake Taihu by an in situ multi-sensor system (BIOLIFT) combined with a weather station. Extracted chlorophyll-a from water samples and chlorophyll-a fluorescence differentiated according to different algal classeses verified that chlorophyll-a fluor..
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Awarded by Australian Research Council
Funding Acknowledgements
This work was supported by the Federal Ministry of Education and Research of Germany (BMBF, grant.-no.: 02WCL1336B). The first author was supported by the China Scholarship Council. Michael Stewardson acknowledges support for his contribution to this research from the Australian Research Council provided for Discovery Project (DP130103619).