Fluorescence probes for real-time remote cyanobacteria monitoring: A review of challenges and opportunities

WATER RESEARCH

卷:141

Review

Bertone, Edoardo^1,2  Burford, Michele A.³  Hamilton, David P.³ 

[1] Griffith Univ, Griffith Sch Engn & Built Environm, Parklands Dr, Southport, Qld 4222, Australia

[2] Griffith Univ, Cities Res Inst, Parklands Dr, Southport, Qld 4222, Australia

[3] Griffith Univ, Australian Rivers Inst, Kessels Rd, Nathan, Qld 4111, Australia

关键词: Artificial intelligence;    Cyanobacteria;    Fluorescence;    Remote sensors;    Water quality;    Water resources management;   

DOI  :  10.1016/j.watres.2018.05.001

来源: Elsevier

【 摘 要 】

In recent years, there has been a widespread deployment of submersible fluorescence sensors by water utilities. They are used to measure diagnostic pigments and estimate algae and cyanobacteria abundance in near real-time. Despite being useful and promising tools, operators and decision-makers often rely on the data provided by these probes without a full understanding of their limitations. As a result, this may lead to wrong and misleading estimations which, in turn, means that researchers and technicians distrust these sensors. In this review paper, we list and discuss the main limitations of such probes, as well as identifying the effect of environmental factors on pigment production, and in turn, the conversion to cyanobacteria abundance estimation. We argue that a comprehensive calibration approach to obtain reliable readings goes well beyond manufacturers' recommendations, and should involve several context-specific experiments. We also believe that if such a comprehensive set of experiments is conducted, the data collected from fluorescence sensors could be used in artificial intelligence modelling approaches to reliably predict, in near real-time, the presence and abundance of different cyanobacteria species. This would have significant benefits for both drinking and recreational water management, given that cyanobacterial toxicity, and taste and odour compounds production, are species-dependent. (C) 2018 Elsevier Ltd. All rights reserved.

【 授权许可】

Free