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Cited by 270

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Biofouling protection for marine environmental sensors

Open access
Delauney, L., Compère, C., Lehaitre, M.·2010·Ocean Science

Abstract

Abstract. These days, many marine autonomous environment monitoring networks are set up in the world. These systems take advantage of existing superstructures such as offshore platforms, lightships, piers, breakwaters or are placed on specially designed buoys or underwater oceanographic structures. These systems commonly use various sensors to measure parameters such as dissolved oxygen, turbidity, conductivity, pH or fluorescence. Emphasis has to be put on the long term quality of measurements, yet sensors may face very short-term biofouling effects. Biofouling can disrupt the quality of the measurements, sometimes in less than a week. Many techniques to prevent biofouling on instrumentation are listed and studied by researchers and manufacturers. Very few of them are implemented on instruments and of those very few have been tested in situ on oceanographic sensors for deployment of at least one or two months. This paper presents a review of techniques used to protect against biofouling of in situ sensors and gives a short list and description of promising techniques.

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Metadata

Authors
Delauney, L., Compère, C., & Lehaitre, M.
Venue
Ocean Science
Published
2010-05-18
Volume
6
Issue
2
Pages
503-511
ISSN
  • 1812-0784 (ISSN-L)
  • 1812-0792
OpenAlex
W2162179246
Cited by
270
References
0
FWCI
11.01
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Biofouling protection for marine environmental sensors. https://app.cochat.ai/papers/10.5194/os-6-503-2010
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Delauney, L., Compère, C., & Lehaitre, M. (2010). Biofouling protection for marine environmental sensors. Ocean Science. https://doi.org/10.5194/os-6-503-2010

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.