Coastal Harmful Algae Bloom Monitoring via a Sustainable, Sail-Powered Mobile Platform

Beckler, Jordon S.; Arutunian, Ethan; Moore, Tim; Currier, Bob; Milbrandt, Eric C.; Duncan, S.

doi:10.3389/fmars.2019.00587

Cited by 14 publications

(12 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Recently the field is advancing in the direction of deploying in situ sensors on longer-term platforms monitored by satellites (or ship cruises) (Whitt et al, 2020). Examples of imaging instruments include moored (Seegers et al, 2015;Yamahara et al, 2015;Ryan et al, 2017;Bowers et al, 2018), ship-based (Schofield et al, 2006), remotely operated underwater vehicles (ROVs) and autonomous underwater vehicles (AUVs) (Hails et al, 2009;Pargett et al, 2015;Beckler et al, 2019). These applications significantly advance the spatiotemporal coverage compared to earlier efforts with ship-based sampling.…”

Section: In Situ Sensors For Imaging and Omics In Unmanned Autonomous...mentioning

confidence: 99%

Coupling Imaging and Omics in Plankton Surveys: State-of-the-Art, Challenges, and Future Directions

et al. 2022

View full text Add to dashboard Cite

A major challenge in characterizing plankton communities is the collection, identification and quantification of samples in a time-efficient way. The classical manual microscopy counts are gradually being replaced by high throughput imaging and nucleic acid sequencing. DNA sequencing allows deep taxonomic resolution (including cryptic species) as well as high detection power (detecting rare species), while RNA provides insights on function and potential activity. However, these methods are affected by database limitations, PCR bias, and copy number variability across taxa. Recent developments in high-throughput imaging applied in situ or on collected samples (high-throughput microscopy, Underwater Vision Profiler, FlowCam, ZooScan, etc) has enabled a rapid enumeration of morphologically-distinguished plankton populations, estimates of biovolume/biomass, and provides additional valuable phenotypic information. Although machine learning classifiers generate encouraging results to classify marine plankton images in a time efficient way, there is still a need for large training datasets of manually annotated images. Here we provide workflow examples that couple nucleic acid sequencing with high-throughput imaging for a more complete and robust analysis of microbial communities. We also describe the publicly available and collaborative web application EcoTaxa, which offers tools for the rapid validation of plankton by specialists with the help of automatic recognition algorithms. Finally, we describe how the field is moving with citizen science programs, unmanned autonomous platforms with in situ sensors, and sequencing and digitalization of historical plankton samples.

show abstract

Section: In Situ Sensors For Imaging and Omics In Unmanned Autonomous...mentioning

confidence: 99%

Coupling Imaging and Omics in Plankton Surveys: State-of-the-Art, Challenges, and Future Directions

et al. 2022

View full text Add to dashboard Cite

show abstract

“…The Turner Cyclops fluorometers used here have been used in many other studies for monitoring algal blooms in marine and freshwater. ,− They have also been tested in trials by the Alliance for Coastal Technologies and showed comparable results to other commercially available fluorometers . Although they have limitations, at least one study shows that they are useful for monitoring large increases in pigments, indicative of bloom conditions .…”

Section: Discussionmentioning

confidence: 99%

Real-Time Monitoring of Cyanobacterial Harmful Algal Blooms with the Panther Buoy

et al. 2022

View full text Add to dashboard Cite

Cyanobacterial harmful algal blooms (cyanoHABs) are a growing problem in aquatic environments. Here, a new data buoy system is described (i.e., “the Panther buoy”) for monitoring cyanoHABs and associated conditions. The system uses a custom open-source data logger, an embedded modem, and a solar charge regulator with off-the-shelf sensors on a compact platform. Panther buoys were deployed in Green Bay, USA, and Lake Superior at the Apostle Islands, USA, to monitor water temperature with depth and chlorophyll-a and phycocyanin fluorescence. Additional Panther buoys were deployed in Sturgeon Bay and Summerfest Lagoon, Milwaukee, to monitor wind and water temperature with depth. Cellular data were transmitted every 2–10 min in 98 ± 10% of data transmissions of 10–30K sampling events per deployment. A new temperature chain is described and shown to have high precision (R = 0.99 and P < 0.001) and accuracy within 0.31 °C of commercial sensors. Panther buoys in Lake Superior and Green Bay detected increases in phycocyanin or chlorophyll-a fluorescence, indicative of moderate bloom events. Wind measurements in Summerfest Lagoon and Sturgeon Bay were significantly correlated with commercial wind sensors. Altogether, these deployments indicate that the Panther buoy system is a reliable device for monitoring cyanoHABs and associated conditions.

show abstract

“…In the use of multiparametric probes, Zamydi et al [150] detected cyanobacteria (Phycocyanin and Chlorophylla) in the Yamaska River Reservoir and Lake Champlain Bay, Canada, using the fluorescence technique and the YSI 6600 V2-4 probe. Beckler et al [151] were also able to monitor and map the algae bloom on the coast in an automated way using a fluorometer sensor (Cyclops Integrator/C3) coupled to a remotely operated boat (Navocean Nav2 ASV). Naughton et al [152] monitored microalgae on an aquaculture farm for 10 months using the AlgaeTorch ® probe, in the Republic of Ireland, as a tool for monitoring seasonal changes in cultivation and for decision-making by producers.…”

Section: Yamahara Et Al [153] Polymerase Chain Reactionmentioning

confidence: 99%

Advances in Technological Research for Online and In Situ Water Quality Monitoring—A Review

et al. 2022

View full text Add to dashboard Cite

Monitoring water quality is an essential tool for the control of pollutants and pathogens that can cause damage to the environment and human health. However, water quality analysis is usually performed in laboratory environments, often with the use of high-cost equipment and qualified professionals. With the progress of nanotechnology and the advance in engineering materials, several studies have shown, in recent years, the development of technologies aimed at monitoring water quality, with the ability to reduce the costs of analysis and accelerate the achievement of results for management and decision-making. In this work, a review was carried out on several low-cost developed technologies and applied in situ for water quality monitoring. Thus, new alternative technologies for the main physical (color, temperature, and turbidity), chemical (chlorine, fluorine, phosphorus, metals, nitrogen, dissolved oxygen, pH, and oxidation–reduction potential), and biological (total coliforms, Escherichia coli, algae, and cyanobacteria) water quality parameters were described. It was observed that there has been an increase in the number of publications related to the topic in recent years, mainly since 2012, with 641 studies being published in 2021. The main new technologies developed are based on optical or electrochemical sensors, however, due to the recent development of these technologies, more robust analyses and evaluations in real conditions are essential to guarantee the precision and repeatability of the methods, especially when it is desirable to compare the values with government regulatory standards.

show abstract

Coastal Harmful Algae Bloom Monitoring via a Sustainable, Sail-Powered Mobile Platform

Cited by 14 publications

References 34 publications

Coupling Imaging and Omics in Plankton Surveys: State-of-the-Art, Challenges, and Future Directions

Coupling Imaging and Omics in Plankton Surveys: State-of-the-Art, Challenges, and Future Directions

Real-Time Monitoring of Cyanobacterial Harmful Algal Blooms with the Panther Buoy

Advances in Technological Research for Online and In Situ Water Quality Monitoring—A Review

Contact Info

Product

Resources

About