Monitoring of Harmful Algae Blooms (Springer Praxis Books / Geophysical Sciences)

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Monitoring of Harmful Algae Blooms (Springer ...
Lasse Pettersson, Dominique Du ...
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Last edited by MARC Bot
September 16, 2024 | History

Monitoring of Harmful Algae Blooms (Springer Praxis Books / Geophysical Sciences)

1 edition
  • 0 Ratings
  • 0 Want to read
  • 0 Currently reading
  • 0 Have read

Sometimes known as "Red Tides", some of the wide variety of phytoplankton species in the World’s oceans produce toxins which can harm marine life. In certain circumstances, these harmful algal blooms can even cause illness or death in humans. Shellfish filter feed on phytoplankton and concentrate their toxins in their bodies and people who eat them can contract life threatening food poisoning. A number of countries have monitoring programmes to measure the presence of toxins in algal blooms. Monitoring of Harmful Algal Blooms is all about the research techniques to monitor visible algal blooms and through remote sensing, including infrared techniques, predict them through mathematical modelling.

Publish Date
Publisher
Springer
Language
English
Pages
300

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Edition Availability
Cover of: Monitoring of harmful algal blooms - 1. edición
Monitoring of harmful algal blooms - 1. edición
2013, Springer
Cover of: Monitoring of Harmful Algae Blooms (Springer Praxis Books / Geophysical Sciences)
Monitoring of Harmful Algae Blooms (Springer Praxis Books / Geophysical Sciences)
November 2008, Springer
Hardcover in English - 1 edition

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Book Details


Classifications

Library of Congress
QK568.B55 P48 2013, GE1-350

The Physical Object

Format
Hardcover
Number of pages
300

ID Numbers

Open Library
OL12773261M
ISBN 10
3540228926
ISBN 13
9783540228929
LCCN
2011934509
Goodreads
2814774

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September 16, 2024 Edited by MARC Bot import existing book
May 24, 2023 Edited by ImportBot import existing book
October 31, 2022 Edited by ImportBot import existing book
October 17, 2020 Edited by MARC Bot import existing book
April 30, 2008 Created by an anonymous user Imported from amazon.com record