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03609nam a22004575i 4500 |
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978-94-024-0933-8 |
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DE-He213 |
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20161008141356.0 |
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cr nn 008mamaa |
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161008s2017 ne | s |||| 0|eng d |
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|a 9789402409338
|9 978-94-024-0933-8
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|a 10.1007/978-94-024-0933-8
|2 doi
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|a GE300-350
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|a TQD
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|a SCI026000
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|a 363.7063
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|a Advances in Monitoring and Modelling Algal Blooms in Freshwater Reservoirs
|h [electronic resource] :
|b General Principles and a Case study of Macau /
|c edited by Inchio Lou, Boping Han, Weiying Zhang.
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| 264 |
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1 |
|a Dordrecht :
|b Springer Netherlands :
|b Imprint: Springer,
|c 2017.
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| 300 |
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|a VIII, 149 p. 56 illus., 4 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
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|a text file
|b PDF
|2 rda
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|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.
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| 520 |
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|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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| 650 |
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0 |
|a Environment.
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| 650 |
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|a Aquatic ecology.
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| 650 |
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0 |
|a Environmental monitoring.
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| 650 |
1 |
4 |
|a Environment.
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| 650 |
2 |
4 |
|a Monitoring/Environmental Analysis.
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| 650 |
2 |
4 |
|a Freshwater & Marine Ecology.
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| 700 |
1 |
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|a Lou, Inchio.
|e editor.
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| 700 |
1 |
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|a Han, Boping.
|e editor.
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| 700 |
1 |
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|a Zhang, Weiying.
|e editor.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
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| 776 |
0 |
8 |
|i Printed edition:
|z 9789402409314
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| 856 |
4 |
0 |
|u http://dx.doi.org/10.1007/978-94-024-0933-8
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-EES
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| 950 |
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|a Earth and Environmental Science (Springer-11646)
|