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Advances in monitoring and modelling...

Han, Boping.

Advances in monitoring and modelling algal blooms in freshwater reservoirsgeneral principles and a case study of Macau /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advances in monitoring and modelling algal blooms in freshwater reservoirsedited by Inchio Lou, Boping Han, Weiying Zhang.
其他題名:	general principles and a case study of Macau /
其他作者:	Lou, Inchio.
出版者:	Dordrecht :Springer Netherlands :2017.
面頁冊數:	viii, 149 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Algal bloomsMonitoringChina
電子資源:	http://dx.doi.org/10.1007/978-94-024-0933-8
ISBN:	9789402409338$q(electronic bk.)

Advances in monitoring and modelling algal blooms in freshwater reservoirsgeneral principles and a case study of Macau /
Advances in monitoring and modelling algal blooms in freshwater reservoirsgeneral principles and a case study of Macau /[electronic resource] :edited by Inchio Lou, Boping Han, Weiying Zhang. - Dordrecht :Springer Netherlands :2017. - viii, 149 p. :ill., digital ;24 cm.

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.

ISBN: 9789402409338$q(electronic bk.)

Standard No.: 10.1007/978-94-024-0933-8doiSubjects--Topical Terms:

770288
Algal blooms
--Monitoring--China

LC Class. No.: QK568.B55

Dewey Class. No.: 579.8095126

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505 0 $a 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.
520 $a 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.
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