TY - BOOK AU - Lou,Inchio AU - Han,Boping AU - Zhang,Weiying ED - SpringerLink (Online service) TI - Advances in Monitoring and Modelling Algal Blooms in Freshwater Reservoirs: General Principles and a Case study of Macau SN - 9789402409338 AV - GE300-350 U1 - 363.7063 23 PY - 2017/// CY - Dordrecht PB - Springer Netherlands, Imprint: Springer KW - Environmental monitoring KW - Aquatic ecology  KW - Monitoring/Environmental Analysis KW - Freshwater & Marine Ecology N1 - 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; Available to subscribing member institutions only. Доступно лише організаціям членам підписки N2 - 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 UR - https://doi.org/10.1007/978-94-024-0933-8 ER -