Quality Control and Pre-Analysis Treatment of the Environmental Datasets Collected by an Internet Operated Deep-Sea Crawler during Its Entire 7-Year Long Deployment (2009-2016)

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dc.contributor.authorChatzievangelou, Damianos
dc.contributor.authorAguzzi, Jacopo
dc.contributor.authorScherwath, Martin
dc.contributor.authorThomsen, Laurenz
dc.date.accessioned2020-10-08T16:08:49Z
dc.date.available2020-10-08T16:08:49Z
dc.date.copyright2020en_US
dc.date.issued2020
dc.description.abstractDeep-sea environmental datasets are ever-increasing in size and diversity, as technological advances lead monitoring studies towards long-term, high-frequency data acquisition protocols. This study presents examples of pre-analysis data treatment steps applied to the environmental time series collected by the Internet Operated Deep-sea Crawler “Wally” during a 7-year deployment (2009–2016) in the Barkley Canyon methane hydrates site, o Vancouver Island (BC, Canada). Pressure, temperature, electrical conductivity, flow, turbidity, and chlorophyll data were subjected to different standardizing, normalizing, and de-trending methods on a case-by-case basis, depending on the nature of the treated variable and the range and scale of the values provided by each of the different sensors. The final pressure, temperature, and electrical conductivity (transformed to practical salinity) datasets are ready for use. On the other hand, in the cases of flow, turbidity, and chlorophyll, further in-depth processing, in tandem with data describing the movement and position of the crawler, will be needed in order to filter out all possible effects of the latter. Our work evidences challenges and solutions in multiparametric data acquisition and quality control and ensures that a big step is taken so that the available environmental data meet high quality standards and facilitate the production of reliable scientific results.en_US
dc.description.reviewstatusRevieweden_US
dc.description.scholarlevelFacultyen_US
dc.description.sponsorshipThe authors would like to thank Fabio De Leo, Steve Mihály, Dilumie Abeysirigunawardena, Autun Purser, Pere Puig, and Michael Morley for their valuable help. This research was developed within the framework of Ocean Networks Canada and NEPTUNE Canada, an initiative of the University of Victoria, and primarily funded by the Canadian Foundation for Innovation, Transport Canada, Fisheries and Oceans Canada, and the Canadian Province of British Columbia; Helmholtz Alliance and Tecnoterra (ICM-CSIC/UPC) and the following project activities: ROBEX (HA-304); ARIM (Autonomous Robotic sea-floor Infrastructure for benthopelagic Monitoring; MartTERA ERA-Net Cofound); ARCHES (Autonomous Robotic Networks to Help Modern Societies; German Helmholtz Association) and RESBIO (TEC2017-87861-R; Ministerio de Ciencia, Innovación y Universidades).en_US
dc.identifier.citationChatzievangelou, D., Aguzzi, J., Scherwath, M., & Thomsen, L. (2020). Quality Control and Pre-Analysis Treatment of the Environmental Datasets Collected by an Internet Operated Deep-Sea Crawler during Its Entire 7-Year Long Deployment (2009-2016). Sensors, 20(10), 1-20. https://doi.org/10.3390/s20102991.en_US
dc.identifier.urihttps://doi.org/10.3390/s20102991
dc.identifier.urihttp://hdl.handle.net/1828/12185
dc.language.isoenen_US
dc.publisherSensorsen_US
dc.subjectdata quality
dc.subjectdata treatment
dc.subjectinternet operated deep-sea crawler
dc.subjectBarkley Canyon hydrates
dc.subjectOcean Networks Canada
dc.subject.departmentSchool of Earth and Ocean Sciences
dc.titleQuality Control and Pre-Analysis Treatment of the Environmental Datasets Collected by an Internet Operated Deep-Sea Crawler during Its Entire 7-Year Long Deployment (2009-2016)en_US
dc.typeArticleen_US

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