Metadata-Driven Universal Real-Time Ocean Sound Measurement Architecture
| Autor: | Albert Garcia-Benadí, Joaquin Del-Rio, Spartacus Gomáriz, Enoc Martinez, Eric Delory, Daniel Mihai Toma |
|---|---|
| Přispěvatelé: | Universitat Politècnica de Catalunya. Doctorat en Enginyeria Electrònica, Centre Tecnològic de Vilanova i la Geltrú, Universitat Politècnica de Catalunya. Centre de Desenvolupament Tecnològic de Sistemes d'Adquisició Remota i Tractament de la Informació, Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica, Universitat Politècnica de Catalunya. SARTI-MAR - Sistemes d'Adquisició Remota de dades i Tractament de la Informació en el Medi Marí |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
0106 biological sciences
Sensor networks General Computer Science Computer science data acquisition interoperability 01 natural sciences Fons marins -- Investigació Xarxes de sensors Marine Strategy Framework Directive Underwater acoustics General Materials Science 14. Life underwater Underwater Real-time systems Sound (geography) 0105 earth and related environmental sciences Acústica submarina geography geography.geographical_feature_category Noise measurement Hydrophone 010505 oceanography 010604 marine biology & hydrobiology General Engineering ENVRI-FAIR Data acquisition sensor web enablement Interoperability Sensor web enablement Metadata underwater acoustics real-time systems 13. Climate action Systems engineering Ocean sound Enginyeria electrònica::Instrumentació i mesura [Àrees temàtiques de la UPC] lcsh:Electrical engineering. Electronics. Nuclear engineering lcsh:TK1-9971 |
| Zdroj: | IEEE Access, Vol 9, Pp 28282-28301 (2021) UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) |
| ISSN: | 2169-3536 2017-8786 |
| Popis: | Underwater sound in the oceans has been significantly rising in the past decades due to an increase in human activities, adversely affecting the marine environment. In order to assess and limit the impact of underwater noise, the European Commission’s Marine Strategy Framework Directive (MSFD) included the long-term monitoring of low-frequency underwater sound as a relevant indicator to achieve a good environmental status. There is a wide range of commercial hydrophones and observing platforms able to perform such measurements. However, heterogeneity and lack of standardization in both hydrophones and observing platforms makes the integration and data management tasks time-consuming and error-prone. Moreover, their power and communications constraints need to be addressed to make them suitable for long-term ocean sound monitoring. Measured underwater sound levels are challenging to compare because different measurement methodologies are used, leading to a risk of misunderstandings and data misinterpretation. Furthermore, the exact methodology applied is not always public or accessible, significantly reducing ocean sound data re-usability. Within this work, a universal architecture for ocean sound measurement is presented, addressing hydrophone integration, real-time in situ processing and data management challenges. Emphasis is placed on generic and re-usable components, so it can be seamlessly replicated and deployed in new scenarios regardless of the underlying hardware and software constraints (hydrophone model, observing platform, operating system, etc.). Within the proposed architecture, a generic implementation of an underwater sound algorithm based on underwater noise measurement best practices is provided. Standardized and coherent metadata with emphasis on strong semantics is discussed, providing the building blocks for FAIR (Findable, Accessible, Interoperable, Reusable) ocean sound data management. This work has been funded by the Spanish government project RESBIO (grant agreement TEC2017-87861-R), the EU projects ENVRI-FAIR (grant agreement 824068), the JONAS INTERREG Atlantic Area-funded project (EAPA_52/2018), partly by the Generalitat de Catalunya SARTI-MAR project (grant agreement 2017 SGR 371) and partly by the FPI-UPC_2015 scholarship program. |
| Databáze: | OpenAIRE |
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