Advances in Monitoring and Modelling Algal Blooms in Freshwater Reservoirs [[electronic resource] ] : General Principles and a Case study of Macau / / edited by Inchio Lou, Boping Han, Weiying Zhang

• Pubblicazione: Dordrecht : , : Springer Netherlands : , : Imprint : Springer, , 2017
• Edizione: 1st ed. 2017.
• Descrizione fisica: 1 online resource (VIII, 149 p. 56 illus., 4 illus. in color.)
• Disciplina: 363.7063
• Soggetto topico: Environmental monitoring; Aquatic ecology ; Monitoring/Environmental Analysis; Freshwater & Marine Ecology
• Persona (resp. second.): LouInchio; HanBoping; ZhangWeiying
• Nota di contenuto: 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Advances in Monitoring and Modelling Algal Blooms in Freshwater Reservoirs
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910254018203321
• Lo trovi qui: Univ. Federico II