03878nam 22004815 450 991025401820332120200704122736.010.1007/978-94-024-0933-8(CKB)3710000000891760(DE-He213)978-94-024-0933-8(MiAaPQ)EBC4714743(PPN)19632095X(EXLCZ)99371000000089176020161008d2017 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierAdvances in Monitoring and Modelling Algal Blooms in Freshwater Reservoirs General Principles and a Case study of Macau /edited by Inchio Lou, Boping Han, Weiying Zhang1st ed. 2017.Dordrecht :Springer Netherlands :Imprint: Springer,2017.1 online resource (VIII, 149 p. 56 illus., 4 illus. in color.) 94-024-0931-9 94-024-0933-5 Monitoring and Modelling Algal blooms -- Water resources and importance of reservoirs -- Spatio-temporal variations of phytoplankton structure and water quality in the eutrophic freshwater reservoir of Macau -- Using an Online Phycocyanin Fluorescence Probe for Rapid Monitoring of Cyanobacteria in Macau Freshwater Reservoir -- Application of PCR and Real-time PCR for Monitoring Cyanobacteria, Microcystis spp. and Cylindrospermopsis raciborskii in Macau Freshwater Reservoir -- Analysis of Cylindrospermopsin- and Microcystin- Producing Genotypes and Cyanotoxin Concentrations in the Macau Storage Reservoir -- Profiling Phytoplankton Community in Drinking Water Reservoirs using Deep Sequencing -- Integrating Support Vector Regression with Particle Swarm Optimization for Numerical Modeling for Algal Blooms of Freshwater -- Conclusions and outlook.This book describes essential principles of and approaches to monitoring and modeling algal blooms. Freshwater algal blooms have become a growing concern worldwide. They are caused by a high level of cyanobacteria, particularly Microcystis spp. and Cylindrospermopsis raciborskii, which can produce microcystin and cylindrospermopsin, respectively. Since long-term exposure to these cyanotoxins may affect public health, the reliable detection and quantification of these harmful algae species has become a priority in water quality management. The book utilizes an advanced monitoring approach to identify and quantify cyanobacteria species and various cyanotoxin-producing genotypes. Further, it uses a modeling approach to forecast the occurrence of the phytoplankton that causes algal blooms in freshwater reservoirs, providing a comprehensive picture of currently available micro- and macro-techniques for studying the problem of algal blooms. As such, it offers a valuable guide for researchers, graduate students and professional engineers engaged in monitoring and modeling water quality in lakes and reservoirs.Environmental monitoringAquatic ecologyMonitoring/Environmental Analysishttps://scigraph.springernature.com/ontologies/product-market-codes/U1400XFreshwater & Marine Ecologyhttps://scigraph.springernature.com/ontologies/product-market-codes/L19066Environmental monitoring.Aquatic ecology.Monitoring/Environmental Analysis.Freshwater & Marine Ecology.363.7063Lou Inchioedthttp://id.loc.gov/vocabulary/relators/edtHan Bopingedthttp://id.loc.gov/vocabulary/relators/edtZhang Weiyingedthttp://id.loc.gov/vocabulary/relators/edtBOOK9910254018203321Advances in Monitoring and Modelling Algal Blooms in Freshwater Reservoirs2535054UNINA