DOI: 10.1016/j.watres.2018.05.001
Scopus记录号: 2-s2.0-85047998061
论文题名: Fluorescence probes for real-time remote cyanobacteria monitoring: A review of challenges and opportunities
作者: Bertone E. ; Burford M.A. ; Hamilton D.P.
刊名: Water Research
ISSN: 431354
出版年: 2018
卷: 141 起始页码: 152
结束页码: 162
语种: 英语
英文关键词: Artificial intelligence
; Cyanobacteria
; Fluorescence
; Remote sensors
; Water quality
; Water resources management
Scopus关键词: Artificial intelligence
; Decision making
; Potable water
; Probes
; Remote sensing
; Water management
; Water quality
; Abundance estimation
; Comprehensive calibrations
; Cyanobacteria
; Environmental factors
; Fluorescence probes
; Fluorescence sensors
; Remote sensors
; Water resources management
; Fluorescence
; chlorophyll a
; drinking water
; phycocyanin
; chlorophyll
; fluorescent dye
; fragrance
; artificial intelligence
; biomass
; cyanobacterium
; environmental factor
; fluorescence
; nonhuman
; odor
; priority journal
; Review
; taste
; water management
; environmental monitoring
; fluorescence
; metabolism
; procedures
; risk assessment
; toxicity
; water pollutant
; algae
; Cyanobacteria
; Chlorophyll
; Cyanobacteria
; Environmental Monitoring
; Fluorescence
; Fluorescent Dyes
; Odorants
; Phycocyanin
; Risk Assessment
; Taste
; Water Pollutants
英文摘要: 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. © 2018 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/112661
Appears in Collections: 气候减缓与适应
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作者单位: Griffith School of Engineering and Built Environment, Griffith University, Parklands Drive, Southport, Queensland 4222, Australia; Cities Research Institute, Griffith University, Parklands Drive, Southport, Queensland 4222, Australia; Australian Rivers Institute, Griffith University, Kessels Road, Nathan, Queensland 4111, Australia
Recommended Citation:
Bertone E.,Burford M.A.,Hamilton D.P.. Fluorescence probes for real-time remote cyanobacteria monitoring: A review of challenges and opportunities[J]. Water Research,2018-01-01,141