State of knowledge on early warning tools for cyanobacteria detection-Reference-Cited by-同舟云学术

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State of knowledge on early warning tools for cyanobacteria detection

Published:2021-12 Issue: Volume:133 Page:108442
ISSN:1470-160X
Container-title:Ecological Indicators
language:en
Short-container-title:Ecological Indicators

Author:

Almuhtaram Husein,Kibuye Faith A.,Ajjampur Suraj,Glover Caitlin M.,Hofmann Ron,Gaget Virginie,Owen Christine,Wert Eric C.,Zamyadi Arash

Funder

Natural Sciences and Engineering Research Council of Canada

Fonds de recherche du Québec – Nature et technologies

Fonds de recherche du Quebec

Water Research Foundation

Water Research Australia

Publisher

Elsevier BV

Subject

Ecology,Ecology, Evolution, Behavior and Systematics,General Decision Sciences

Reference181 articles.

1. Use of unmanned aerial vehicles and remote sensors in urban lakes studies in Mexico;Aguirre-Gómez;Int. J. Remote Sens.,2017

2. Rainfall, phycocyanin, and N: P ratios related to cyanobacterial blooms in a Korean large reservoir;Ahn;Hydrobiologia,2002

3. Alternative alert system for cyanobacterial bloom, using phycocyanin as a level determinant;Ahn;J. Microbiol.,2007

4. Cyanotoxins and Cyanobacteria Cell Accumulations in Drinking Water Treatment Plants with a Low Risk of Bloom Formation at the Source;Almuhtaram;Toxins (Basel).,2018

5. The Importance of Measuring Ultraviolet Fluence Accurately: A Review of Microcystin-LR Removal by Direct Photolysis;Almuhtaram;Environ. Sci. Technol. Lett.,2021

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4. Discriminating bloom-forming cyanobacteria using lab-based hyperspectral imagery and machine learning: Validation with toxic species under environmental ranges;Science of The Total Environment;2024-07

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