Oil Spill Detection Using Fluorometric Sensors: Laboratory Validation and Implementation to a FerryBox and a Moored SmartBuoy

A large part of oil spills happen near busy marine fairways. Presently, oil spill detection and monitoring are mostly done with satellite remote sensing algorithms, or with remote sensors or visual surveillance from aerial vehicles or ships. These techniques have their drawbacks and limitations. We...

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Autores principales: Siim Pärt, Harri Kankaanpää, Jan-Victor Björkqvist, Rivo Uiboupin
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Publicado: Frontiers Media S.A. 2021
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Acceso en línea:https://doaj.org/article/e9792ae7618140cb89c089654e5a2df3
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spelling oai:doaj.org-article:e9792ae7618140cb89c089654e5a2df32021-12-01T18:40:54ZOil Spill Detection Using Fluorometric Sensors: Laboratory Validation and Implementation to a FerryBox and a Moored SmartBuoy2296-774510.3389/fmars.2021.778136https://doaj.org/article/e9792ae7618140cb89c089654e5a2df32021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fmars.2021.778136/fullhttps://doaj.org/toc/2296-7745A large part of oil spills happen near busy marine fairways. Presently, oil spill detection and monitoring are mostly done with satellite remote sensing algorithms, or with remote sensors or visual surveillance from aerial vehicles or ships. These techniques have their drawbacks and limitations. We evaluated the feasibility of using fluorometric sensors in flow-through systems for real-time detection of oil spills. The sensors were capable of detecting diesel oil for at least 20 days in laboratory conditions, but the presence of CDOM, turbidity and algae-derived substances substantially affected the detection capabilities. Algae extract was observed to have the strongest effect on the fluorescence signal, enhancing the signal in all combinations of sensors and solutions. The sensors were then integrated to a FerryBox system and a moored SmartBuoy. The field tests support the results of the laboratory experiments, namely that the primary source of the measured variation was the presence of interference compounds. The 2 month experiments data did not reveal peaks indicative of oil spills. Both autonomous systems worked well, providing real-time data. The main uncertainty is how the sensors' calibration and specificity to oil, and the measurement depth, affects oil detection. We recommend exploring mathematical approaches and more advanced sensors to correct for natural interferences.Siim PärtHarri KankaanpääJan-Victor BjörkqvistJan-Victor BjörkqvistJan-Victor BjörkqvistRivo UiboupinFrontiers Media S.A.articleoil spillflow-trough systemfluorometric sensorsBaltic Seanatural interferencessensor selectivityScienceQGeneral. Including nature conservation, geographical distributionQH1-199.5ENFrontiers in Marine Science, Vol 8 (2021)
institution DOAJ
collection DOAJ
language EN
topic oil spill
flow-trough system
fluorometric sensors
Baltic Sea
natural interferences
sensor selectivity
Science
Q
General. Including nature conservation, geographical distribution
QH1-199.5
spellingShingle oil spill
flow-trough system
fluorometric sensors
Baltic Sea
natural interferences
sensor selectivity
Science
Q
General. Including nature conservation, geographical distribution
QH1-199.5
Siim Pärt
Harri Kankaanpää
Jan-Victor Björkqvist
Jan-Victor Björkqvist
Jan-Victor Björkqvist
Rivo Uiboupin
Oil Spill Detection Using Fluorometric Sensors: Laboratory Validation and Implementation to a FerryBox and a Moored SmartBuoy
description A large part of oil spills happen near busy marine fairways. Presently, oil spill detection and monitoring are mostly done with satellite remote sensing algorithms, or with remote sensors or visual surveillance from aerial vehicles or ships. These techniques have their drawbacks and limitations. We evaluated the feasibility of using fluorometric sensors in flow-through systems for real-time detection of oil spills. The sensors were capable of detecting diesel oil for at least 20 days in laboratory conditions, but the presence of CDOM, turbidity and algae-derived substances substantially affected the detection capabilities. Algae extract was observed to have the strongest effect on the fluorescence signal, enhancing the signal in all combinations of sensors and solutions. The sensors were then integrated to a FerryBox system and a moored SmartBuoy. The field tests support the results of the laboratory experiments, namely that the primary source of the measured variation was the presence of interference compounds. The 2 month experiments data did not reveal peaks indicative of oil spills. Both autonomous systems worked well, providing real-time data. The main uncertainty is how the sensors' calibration and specificity to oil, and the measurement depth, affects oil detection. We recommend exploring mathematical approaches and more advanced sensors to correct for natural interferences.
format article
author Siim Pärt
Harri Kankaanpää
Jan-Victor Björkqvist
Jan-Victor Björkqvist
Jan-Victor Björkqvist
Rivo Uiboupin
author_facet Siim Pärt
Harri Kankaanpää
Jan-Victor Björkqvist
Jan-Victor Björkqvist
Jan-Victor Björkqvist
Rivo Uiboupin
author_sort Siim Pärt
title Oil Spill Detection Using Fluorometric Sensors: Laboratory Validation and Implementation to a FerryBox and a Moored SmartBuoy
title_short Oil Spill Detection Using Fluorometric Sensors: Laboratory Validation and Implementation to a FerryBox and a Moored SmartBuoy
title_full Oil Spill Detection Using Fluorometric Sensors: Laboratory Validation and Implementation to a FerryBox and a Moored SmartBuoy
title_fullStr Oil Spill Detection Using Fluorometric Sensors: Laboratory Validation and Implementation to a FerryBox and a Moored SmartBuoy
title_full_unstemmed Oil Spill Detection Using Fluorometric Sensors: Laboratory Validation and Implementation to a FerryBox and a Moored SmartBuoy
title_sort oil spill detection using fluorometric sensors: laboratory validation and implementation to a ferrybox and a moored smartbuoy
publisher Frontiers Media S.A.
publishDate 2021
url https://doaj.org/article/e9792ae7618140cb89c089654e5a2df3
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