Wind dependence of ambient noise in a biologically rich coastal area

The wind dependence of acoustic spectrum between 100 Hz and 16 kHz is investigated for coastal biologically rich areas. The analysis of 5 months of continuous measurements run in a 10 m deep shallow water environment off Brittany (France) showed that wind dependence of spectral levels is subject to...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:The Journal of the Acoustical Society of America 2016-02, Vol.139 (2), p.839-850
Hauptverfasser: Mathias, Delphine, Gervaise, Cédric, Di Iorio, Lucia
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 850
container_issue 2
container_start_page 839
container_title The Journal of the Acoustical Society of America
container_volume 139
creator Mathias, Delphine
Gervaise, Cédric
Di Iorio, Lucia
description The wind dependence of acoustic spectrum between 100 Hz and 16 kHz is investigated for coastal biologically rich areas. The analysis of 5 months of continuous measurements run in a 10 m deep shallow water environment off Brittany (France) showed that wind dependence of spectral levels is subject to masking by biological sounds. When dealing with raw data, the wind dependence of spectral levels was not significant for frequencies where biological sounds were present (2 to 10 kHz). An algorithm developed by Kinda, Simard, Gervaise, Mars, and Fortier [J. Acoust. Soc. Am. 134(1), 77–87 (2013)] was used to automatically filter out the loud distinctive biological contribution and estimated the ambient noise spectrum. The wind dependence of ambient noise spectrum was always significant after application of this filter. A mixture model for ambient noise spectrum which accounts for the richness of the soundscape is proposed. This model revealed that wind dependence holds once the wind speed was strong enough to produce sounds higher in amplitude than the biological chorus (9 kn at 3 kHz, 11 kn at 8 kHz). For these higher wind speeds, a logarithmic affine law was adequate and its estimated parameters were compatible with previous studies (average slope 27.1 dB per decade of wind speed increase).
doi_str_mv 10.1121/1.4941917
format Article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmed_primary_26936565</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1770868950</sourcerecordid><originalsourceid>FETCH-LOGICAL-c355t-37bef86929a61398901d50cd0b13395773252a8faa0ebbeeab22eee7c430689c3</originalsourceid><addsrcrecordid>eNp90EtLxDAUBeAgijOOLvwDkqUK1TyatFnK-IQBN4rLkKS3GmmT2nSE-fdWZhwXgqvLhY9z4CB0TMkFpYxe0otc5VTRYgdNqWAkKwXLd9GUEEKzXEk5QQcpvY-vKLnaRxMmFZdCiim6fvGhwhV0ECoIDnCssWmthzDgEH0C7AM22PrYxFfvTNOscO_dG3bRpME02PRgDtFebZoER5s7Q8-3N0_z-2zxePcwv1pkjgsxZLywUJdSMWUk5apUhFaCuIpYyrkSRcGZYKasjSFgLYCxjAFA4XJOZKkcn6HTdW7Xx48lpEG3PjloGhMgLpOmRUHKUQoy0rM1dX1MqYdad71vTb_SlOjv0TTVm9FGe7KJXdoWqq38WWkE52uQnB_M4GPYms_Y_ybprqr_w3-rvwCNaoGe</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1770868950</pqid></control><display><type>article</type><title>Wind dependence of ambient noise in a biologically rich coastal area</title><source>MEDLINE</source><source>AIP Journals Complete</source><source>Alma/SFX Local Collection</source><source>AIP Acoustical Society of America</source><creator>Mathias, Delphine ; Gervaise, Cédric ; Di Iorio, Lucia</creator><creatorcontrib>Mathias, Delphine ; Gervaise, Cédric ; Di Iorio, Lucia</creatorcontrib><description>The wind dependence of acoustic spectrum between 100 Hz and 16 kHz is investigated for coastal biologically rich areas. The analysis of 5 months of continuous measurements run in a 10 m deep shallow water environment off Brittany (France) showed that wind dependence of spectral levels is subject to masking by biological sounds. When dealing with raw data, the wind dependence of spectral levels was not significant for frequencies where biological sounds were present (2 to 10 kHz). An algorithm developed by Kinda, Simard, Gervaise, Mars, and Fortier [J. Acoust. Soc. Am. 134(1), 77–87 (2013)] was used to automatically filter out the loud distinctive biological contribution and estimated the ambient noise spectrum. The wind dependence of ambient noise spectrum was always significant after application of this filter. A mixture model for ambient noise spectrum which accounts for the richness of the soundscape is proposed. This model revealed that wind dependence holds once the wind speed was strong enough to produce sounds higher in amplitude than the biological chorus (9 kn at 3 kHz, 11 kn at 8 kHz). For these higher wind speeds, a logarithmic affine law was adequate and its estimated parameters were compatible with previous studies (average slope 27.1 dB per decade of wind speed increase).</description><identifier>ISSN: 0001-4966</identifier><identifier>EISSN: 1520-8524</identifier><identifier>DOI: 10.1121/1.4941917</identifier><identifier>PMID: 26936565</identifier><identifier>CODEN: JASMAN</identifier><language>eng</language><publisher>United States</publisher><subject>Acoustics ; Animals ; Ecosystem ; Humans ; Motion ; Noise ; Noise, Transportation ; Oceans and Seas ; Seawater ; Ships ; Signal Processing, Computer-Assisted ; Sound Spectrography ; Time Factors ; Vocalization, Animal ; Wind</subject><ispartof>The Journal of the Acoustical Society of America, 2016-02, Vol.139 (2), p.839-850</ispartof><rights>Acoustical Society of America</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c355t-37bef86929a61398901d50cd0b13395773252a8faa0ebbeeab22eee7c430689c3</citedby><cites>FETCH-LOGICAL-c355t-37bef86929a61398901d50cd0b13395773252a8faa0ebbeeab22eee7c430689c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://pubs.aip.org/jasa/article-lookup/doi/10.1121/1.4941917$$EHTML$$P50$$Gscitation$$H</linktohtml><link.rule.ids>207,208,314,776,780,790,1559,4498,27901,27902,76354</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26936565$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Mathias, Delphine</creatorcontrib><creatorcontrib>Gervaise, Cédric</creatorcontrib><creatorcontrib>Di Iorio, Lucia</creatorcontrib><title>Wind dependence of ambient noise in a biologically rich coastal area</title><title>The Journal of the Acoustical Society of America</title><addtitle>J Acoust Soc Am</addtitle><description>The wind dependence of acoustic spectrum between 100 Hz and 16 kHz is investigated for coastal biologically rich areas. The analysis of 5 months of continuous measurements run in a 10 m deep shallow water environment off Brittany (France) showed that wind dependence of spectral levels is subject to masking by biological sounds. When dealing with raw data, the wind dependence of spectral levels was not significant for frequencies where biological sounds were present (2 to 10 kHz). An algorithm developed by Kinda, Simard, Gervaise, Mars, and Fortier [J. Acoust. Soc. Am. 134(1), 77–87 (2013)] was used to automatically filter out the loud distinctive biological contribution and estimated the ambient noise spectrum. The wind dependence of ambient noise spectrum was always significant after application of this filter. A mixture model for ambient noise spectrum which accounts for the richness of the soundscape is proposed. This model revealed that wind dependence holds once the wind speed was strong enough to produce sounds higher in amplitude than the biological chorus (9 kn at 3 kHz, 11 kn at 8 kHz). For these higher wind speeds, a logarithmic affine law was adequate and its estimated parameters were compatible with previous studies (average slope 27.1 dB per decade of wind speed increase).</description><subject>Acoustics</subject><subject>Animals</subject><subject>Ecosystem</subject><subject>Humans</subject><subject>Motion</subject><subject>Noise</subject><subject>Noise, Transportation</subject><subject>Oceans and Seas</subject><subject>Seawater</subject><subject>Ships</subject><subject>Signal Processing, Computer-Assisted</subject><subject>Sound Spectrography</subject><subject>Time Factors</subject><subject>Vocalization, Animal</subject><subject>Wind</subject><issn>0001-4966</issn><issn>1520-8524</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp90EtLxDAUBeAgijOOLvwDkqUK1TyatFnK-IQBN4rLkKS3GmmT2nSE-fdWZhwXgqvLhY9z4CB0TMkFpYxe0otc5VTRYgdNqWAkKwXLd9GUEEKzXEk5QQcpvY-vKLnaRxMmFZdCiim6fvGhwhV0ECoIDnCssWmthzDgEH0C7AM22PrYxFfvTNOscO_dG3bRpME02PRgDtFebZoER5s7Q8-3N0_z-2zxePcwv1pkjgsxZLywUJdSMWUk5apUhFaCuIpYyrkSRcGZYKasjSFgLYCxjAFA4XJOZKkcn6HTdW7Xx48lpEG3PjloGhMgLpOmRUHKUQoy0rM1dX1MqYdad71vTb_SlOjv0TTVm9FGe7KJXdoWqq38WWkE52uQnB_M4GPYms_Y_ybprqr_w3-rvwCNaoGe</recordid><startdate>201602</startdate><enddate>201602</enddate><creator>Mathias, Delphine</creator><creator>Gervaise, Cédric</creator><creator>Di Iorio, Lucia</creator><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>201602</creationdate><title>Wind dependence of ambient noise in a biologically rich coastal area</title><author>Mathias, Delphine ; Gervaise, Cédric ; Di Iorio, Lucia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c355t-37bef86929a61398901d50cd0b13395773252a8faa0ebbeeab22eee7c430689c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Acoustics</topic><topic>Animals</topic><topic>Ecosystem</topic><topic>Humans</topic><topic>Motion</topic><topic>Noise</topic><topic>Noise, Transportation</topic><topic>Oceans and Seas</topic><topic>Seawater</topic><topic>Ships</topic><topic>Signal Processing, Computer-Assisted</topic><topic>Sound Spectrography</topic><topic>Time Factors</topic><topic>Vocalization, Animal</topic><topic>Wind</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mathias, Delphine</creatorcontrib><creatorcontrib>Gervaise, Cédric</creatorcontrib><creatorcontrib>Di Iorio, Lucia</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>The Journal of the Acoustical Society of America</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mathias, Delphine</au><au>Gervaise, Cédric</au><au>Di Iorio, Lucia</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Wind dependence of ambient noise in a biologically rich coastal area</atitle><jtitle>The Journal of the Acoustical Society of America</jtitle><addtitle>J Acoust Soc Am</addtitle><date>2016-02</date><risdate>2016</risdate><volume>139</volume><issue>2</issue><spage>839</spage><epage>850</epage><pages>839-850</pages><issn>0001-4966</issn><eissn>1520-8524</eissn><coden>JASMAN</coden><abstract>The wind dependence of acoustic spectrum between 100 Hz and 16 kHz is investigated for coastal biologically rich areas. The analysis of 5 months of continuous measurements run in a 10 m deep shallow water environment off Brittany (France) showed that wind dependence of spectral levels is subject to masking by biological sounds. When dealing with raw data, the wind dependence of spectral levels was not significant for frequencies where biological sounds were present (2 to 10 kHz). An algorithm developed by Kinda, Simard, Gervaise, Mars, and Fortier [J. Acoust. Soc. Am. 134(1), 77–87 (2013)] was used to automatically filter out the loud distinctive biological contribution and estimated the ambient noise spectrum. The wind dependence of ambient noise spectrum was always significant after application of this filter. A mixture model for ambient noise spectrum which accounts for the richness of the soundscape is proposed. This model revealed that wind dependence holds once the wind speed was strong enough to produce sounds higher in amplitude than the biological chorus (9 kn at 3 kHz, 11 kn at 8 kHz). For these higher wind speeds, a logarithmic affine law was adequate and its estimated parameters were compatible with previous studies (average slope 27.1 dB per decade of wind speed increase).</abstract><cop>United States</cop><pmid>26936565</pmid><doi>10.1121/1.4941917</doi><tpages>12</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0001-4966
ispartof The Journal of the Acoustical Society of America, 2016-02, Vol.139 (2), p.839-850
issn 0001-4966
1520-8524
language eng
recordid cdi_pubmed_primary_26936565
source MEDLINE; AIP Journals Complete; Alma/SFX Local Collection; AIP Acoustical Society of America
subjects Acoustics
Animals
Ecosystem
Humans
Motion
Noise
Noise, Transportation
Oceans and Seas
Seawater
Ships
Signal Processing, Computer-Assisted
Sound Spectrography
Time Factors
Vocalization, Animal
Wind
title Wind dependence of ambient noise in a biologically rich coastal area
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-13T07%3A26%3A33IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Wind%20dependence%20of%20ambient%20noise%20in%20a%20biologically%20rich%20coastal%20area&rft.jtitle=The%20Journal%20of%20the%20Acoustical%20Society%20of%20America&rft.au=Mathias,%20Delphine&rft.date=2016-02&rft.volume=139&rft.issue=2&rft.spage=839&rft.epage=850&rft.pages=839-850&rft.issn=0001-4966&rft.eissn=1520-8524&rft.coden=JASMAN&rft_id=info:doi/10.1121/1.4941917&rft_dat=%3Cproquest_pubme%3E1770868950%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1770868950&rft_id=info:pmid/26936565&rfr_iscdi=true