CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.
Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .
Rezultaty
Website presenting the project and the participating organisations. Completion of Social Media profiles.
Report describing the mathematical modeling to predict the wave emissions (noise in seawater and vibrations of the seabed) from pile installations offshore, the scaled experimental setup together with the analysis of the collected data, and comparison of model predictions with available data sets (from both real environments and scale tests) for both classical impact piling and vibratory piling. Parametric study to examine the influence of seabed composition, pile geometry, hammer type on the expected noise and vibration levels at various seawater depths and distances from the pile. Special focus on including the latest developments of the offshore wind industry when it comes to pile sizes and state-of-the-art installations methods.
Soundscape from animal-borne sensors (odnośnik otworzy się w nowym oknie)Report on soundscapes quantified from animal-borne data loggers, that is, description of the natural and anthropogenic noise experienced by free-swimming animals and description of the methods to derive the results.
Outreach actions (mid-term) (odnośnik otworzy się w nowym oknie)Document describing the outreach actions in terms of lectures in conferences, publications in international journals, press releases, videos produced, actions at the International Day of Women & Girls in Science, popularization activities, educational activities etc
"Soundscape recordings conducted at several selected locations around the lagoon, both in ""silent"" and ""noisy"" (anthropic activities) areas"
Algorithms for conversion/processing Distributed Acoustic Sensing (DAS) data. Computational scripts (Python, Matlab) for reading raw strain data from DAS interrogator, quality control, filtering, and organizing in strain(-rate)-time matrices for further use.
Publikacje
Autorzy:
Fawad Ali, Carlos García A., Aida Hejazi Nooghabi, Lapo Boschi
Opublikowane w:
The Journal of the Acoustical Society of America, Numer 158, 2025, ISSN 1520-8524
Wydawca:
Acoustical Society of America (ASA)
DOI:
10.1121/10.0041770
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