Relevant bibliographies by topics / Underwater sea ambient noise

Academic literature on the topic 'Underwater sea ambient noise'

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Published: 11 March 2023

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Journal articles on the topic "Underwater sea ambient noise"

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Halliday, William D., Matthew K. Pine, and Stephen J. Insley. "Underwater noise and Arctic marine mammals: review and policy recommendations." Environmental Reviews 28, no. 4 (December 2020): 438–48. http://dx.doi.org/10.1139/er-2019-0033.

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Underwater noise is an important issue globally. Underwater noise can cause auditory masking, behavioural disturbance, hearing damage, and even death for marine animals. While underwater noise levels have been increasing in nonpolar regions, noise levels are thought to be much lower in the Arctic where the presence of sea ice limits anthropogenic activities. However, climate change is causing sea ice to decrease, which is allowing for increased access for noisy anthropogenic activities. Underwater noise may have more severe impacts in the Arctic compared with nonpolar regions due to a combination of lower ambient sound levels and increased sensitivity of Arctic marine animals to underwater noise. Here, we review ambient sound levels in the Arctic, as well as the reactions of Arctic and sub-Arctic marine mammals to underwater noise. We then relate what is known about underwater noise in the Arctic to policies and management solutions for underwater noise and discuss whether Arctic-specific policies are necessary.
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Bagočius, Donatas, and Aleksas Narščius. "Underwater Noise Modeling in Lithuanian Area of the Baltic Sea." Mokslas - Lietuvos ateitis 9, no. 4 (September 11, 2017): 393–99. http://dx.doi.org/10.3846/mla.2017.1063.

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Along with rising awareness of public and scientific societies about environmental and ecological impacts of underwater noise, the need for underwater noise modelling in the shallow Lithuanian area of Baltic Sea emerged. Marine Strategy Framework Directive issues regarding underwater noise indicators refers to possibility of evaluation of Good Environmental State using underwater noise measurements as well as possibility to model underwater noise. Main anthropogenic underwater noise contributor in the Seas is the shipping lanes as known due to date, with no exclusion of Lithuanian Baltic Sea area. In this manuscript, it is presented the methods of development of simplistic underwater ambient noise model purposed for computation of underwater soundscape in shallow area of the Lithuanian Baltic Sea.
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Veeraiyan, Vijayabaskar, Rajendran Velayutham, and Mathews M. Philip. "Frequency Domain Based Approach for Denoising of Underwater Acoustic Signal Using EMD." Journal of Intelligent Systems 22, no. 1 (March 1, 2013): 67–80. http://dx.doi.org/10.1515/jisys-2012-0021.

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Abstract.Underwater communication is usually affected by ambient noise, which may be generated by different sources, such as the wind origin sea-surface sources, ships and under water life. The properties of background noise, which are non-stationary in nature, depend on location, sea depth, wind speed and sound propagation conditions in the area. Overall performance of underwater acoustic instruments can be improved by denoising the underwater signals. This paper proposes a novel denoising method using empirical mode decomposition (EMD) technique. Frequency domain based thresholding has been used to denoise the signal, which involves three steps: (i) EMD is applied to the noisy signal to decompose the signal into intrinsic mode functions (IMFs). (ii) Thresholding is applied to each IMF in the frequency domain to remove the noise. (iii) Thresholded IMFs are added to obtain the denoised signal. Real-time experiments were performed to validate the proposed technique on the basis of the records of the ambient noise data recorded at sea for various wind speed. It was observed that the experimental results are in good agreement with the proposed algorithm under different wind-noise levels.
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MURUGAN, S. SAKTHIVEL, and V. NATARAJAN. "IMPLEMENTATION OF THRESHOLD DETECTION TECHNIQUE FOR EXTRACTION OF COMPOSITE SIGNALS AGAINST AMBIENT NOISES IN UNDERWATER COMMUNICATION USING EMPIRICAL MODE DECOMPOSITION." Fluctuation and Noise Letters 11, no. 04 (December 2012): 1250031. http://dx.doi.org/10.1142/s0219477512500319.

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Acoustic signals transmitted in underwater for distance communication are affected by numerous factors, random events, and corrupted with ambient noise, making them nonlinear and nonstationary in nature. Ambient noises are the background acoustic noises in the sea due to natural and manmade sources like wind, rain, seismic, marine species, harbor activities, motor on the boat, ship traffic, etc. In recent years, the application of Empirical Mode Decomposition (EMD) technique to analyze nonlinear and nonstationary signals has gained importance. In this paper an EMD system is proposed with an algorithm by implementing FFT to identify and extract all the acoustic stationary signals available in the underwater channel that are corrupted due to various ambient noises over a range of 100 Hz to 10 kHz in shallow water region. Further a new threshold detection technique is also incorporated in the algorithm for detection and extraction of composite signals that are not extracted properly. The threshold is calculated using the mean and variance of the noisy signal generated by various ambient noises in the ocean. The algorithm is also validated by transmitting three reference acoustic signals. The proposed EMD approach with threshold detector algorithm identifies and extracts all the signals transmitted along with other stationary signals available in the ocean against various ambient noises.
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Sun, Qindong, and Hongkun Zhou. "An Acoustic Sea Glider for Deep-Sea Noise Profiling Using an Acoustic Vector Sensor." Polish Maritime Research 29, no. 1 (March 1, 2022): 57–62. http://dx.doi.org/10.2478/pomr-2022-0006.

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Abstract An acoustic sea glider has been developed for ambient sea noise measurement and target detection through the deployment of an acoustic vector sensor (AVS). The glider was designed with three cabins connected in sequence and it can dive to depths exceeding 1200m. The AVS fixed on the glider measure acoustic pressure and particle velocities related to undersea noise, and the inner attitude sensors can effectively eliminate the estimation deviation of the direction of arrival. The inherent self-noises of the acoustic sea glider and AVS are presented respectively in respect to the Knudsen spectra of sea noise. Sea trial results indicate that the AVS could work well for undersea noise measurement when the glider is smooth sliding, and the target azimuth estimated by AVS after correction is remarkably consistent with the values measured by the GPS, and direction-finding errors are less than 10 degrees. The research in this paper shows that the acoustic sea glider is able to undertake tasks such as a wide range of underwater acoustic measurement and detection.
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Roth, Ethan H., John A. Hildebrand, Sean M. Wiggins, and Donald Ross. "Underwater ambient noise on the Chukchi Sea continental slope from 2006–2009." Journal of the Acoustical Society of America 131, no. 1 (January 2012): 104–10. http://dx.doi.org/10.1121/1.3664096.

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Kwon, Hyuckjong, Junghun Kim, Jee Woong Choi, Donhyug Kang, Sungho Cho, Seom-Kyu Jung, and Kyeongju Park. "Spatial Coherence Analysis of Underwater Ambient Noise Measured at the Yellow Sea." Journal of the Acoustical Society of Korea 34, no. 6 (November 30, 2015): 432–43. http://dx.doi.org/10.7776/ask.2015.34.6.432.

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Yang, Qiulong, Kunde Yang, and Shunli Duan. "A Method for Noise Source Levels Inversion with Underwater Ambient Noise Generated by Typhoon in Deep Ocean." Journal of Theoretical and Computational Acoustics 26, no. 02 (June 2018): 1850007. http://dx.doi.org/10.1142/s259172851850007x.

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Sea-surface wind agitation can be considered the dominant noise sources whose intensity relies on local wind speed during typhoon period. Noise source levels in previous researches may be unappreciated for all oceanic regions and should be corrected for modeling typhoon-generated ambient noise fields in deep ocean. This work describes the inversion of wind-driven noise source level based on a noise field model and experimental measurements, and the verification of the inverted noise source levels with experimental results during typhoon period. A method based on ray approach is presented for modeling underwater ambient noise fields generated by typhoons in deep ocean. Besides, acoustic field reciprocity is utilized to decrease the calculation amount in modeling ambient noise field. What is more, the depth dependence and the vertical directionality of noise field based on the modeling method and the Holland typhoon model are evaluated and analyzed in deep ocean. Furthermore, typhoons named “Soulik” in 2013 and “Nida” in 2016 passed by the receivers deployed in the western Pacific (WP) and the South China Sea (SCS). Variations in sound speed profile, bathymetry, and the related oceanic meteorological parameters are analyzed and taken into consideration for modeling noise field. Boundary constraint simulated annealing (SA) method is utilized to invert the three parameters of noise source levels and to minimize the objective function value. The prediction results with the inverted noise source levels exhibit good agreement with the measured experiment data and are compared with predicted results with other noise sources levels derived in previous researches.
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Fung, Kathryn, and Julien Bonnel. "Statistical and spatial characteristics of ocean ambient noise up to 1900 Hz on the Chukchi Shelf in the Arctic affected by climate change." Journal of the Acoustical Society of America 152, no. 4 (October 2022): A72. http://dx.doi.org/10.1121/10.0015583.

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This paper analyzes a year of underwater ambient noise data recorded in the Arctic on the Chukchi Shelf as part of the 2016–2017 Canada Basin Acoustic Propagation Experiment (CANAPE). A broadband (50–1900 Hz) statistical study is performed to analyze noise variability and its relationship to environmental drivers, notably the local presence of ice and the presence/absence of the Beaufort duct in the experimental area. Both environmental factors are found to significantly affect the noise levels. Local ice coverage tends to decrease ambient noise at all frequencies, while the presence of the Beaufort duct tends to increase ambient noise for frequencies below 1 kHz. The lowest ambient noise levels are, thus, found when the sea is ice covered, but the duct is absent. Furthermore, the study explores the link between noise level and distant ice drift magnitude. The ambient noise levels are shown to be highly correlated with distant (up to 1400 km) ice drift for frequencies between 300 and 1500 Hz. [Work supported by the Office of Naval Research.]
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Nystuen, Jeffrey A., Marios N. Anagnostou, Emmanouil N. Anagnostou, and Anastasios Papadopoulos. "Monitoring Greek Seas Using Passive Underwater Acoustics." Journal of Atmospheric and Oceanic Technology 32, no. 2 (February 2015): 334–49. http://dx.doi.org/10.1175/jtech-d-13-00264.1.

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AbstractThe Hellenic Center for Marine Research POSEIDON ocean monitoring and forecasting system has included passive underwater acoustic measurements as part of its real-time operations. Specifically, low-duty-cycle long-term passive acoustic listeners (PALs) are deployed on two operational buoys, one off Pylos in the Ionian Sea and the second off Athos in the northern Aegean Sea. The first step toward the quantitative use of passive ambient sound is the classification of the geophysical sources—for example, wind speed and rain rate—from the noise of shipping, from other anthropogenic activities, and from the natural sounds of marine animals. After classification, quantitative measurements of wind speed and precipitation are applied to the ambient sound data. Comparisons of acoustic quantitative measurements of wind speed with in situ buoy anemometer measurements were shown to be within 0.5 m s−1. The rainfall detection and quantification was also confirmed with collocated measurements of precipitation from a nearby coastal rain gauge and operational weather radar rainfall observations. The complicated condition of high sea states, including the influence of ambient bubble clouds, rain, and sea spray under high winds, was sorted acoustically, and shows promise for identifying and quantifying such conditions from underwater sound measurements. Long-term data were used in this study to derive sound budgets showing the percent occurrence of dominant sound sources (ships, marine mammals, wind, and rain), their relative intensity as a function of frequency, and statistical summaries of the retrieved rainfall amounts and wind speeds at the two buoy locations in the Aegean and Ionian Seas.
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Dissertations / Theses on the topic "Underwater sea ambient noise"

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Codarin, Antonio. "Zonizzazione acustica subacquea del golfo di Trieste: implementazione delle conoscenze tecniche e scientifiche per la valutazione del clima acustico e dei suoi effetti sull'ecosistema marino." Doctoral thesis, Università degli studi di Trieste, 2014. http://hdl.handle.net/10077/10141.

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2012/2013
Sotto la superficie del mare il suono svolge un ruolo fondamentale nella vita di molti organismi marini, in quanto fornisce una visuale in tre dimensioni dello spazio circostante il singolo individuo, che si estende spesso ben oltre quello fornito dagli altri sensi. L’introduzione da parte dell’uomo di diverse tipologie di rumori in questo ambiente, quindi, desta sempre maggiori preoccupazioni, poiché qualsiasi cosa alteri la capacità di individuare e analizzare il panorama acustico circostante può interferire negativamente con la comunicazione, il comportamento, la fitness e, in termini generali, con la sopravvivenza delle specie. La posizione strategica occupata dal golfo di Trieste, un bacino di acque relativamente poco profonde situato nel Nord Adriatico, unitamente alle caratteristiche geomorfologiche delle sue coste, fanno sì che qui possano svilupparsi molteplici attività che dipendono fortemente dal mare, come quella mercantile, alieutica e diportistica. Considerata la facilità di propagazione dell’onda sonora nell’acqua e tenendo conto che il rumore non conosce “barriere” giurisdizionali, le specie che vivono in esso saranno inevitabilmente sottoposte a pressioni di diversa portata, sia di tipo diffuso che puntuale. Nonostante la Comunità Europea, grazie alla Direttiva 2008/56/CE (Direttiva Quadro per l’ambiente marino, Marine Strategy Framework Directive, MSFD)cerchi di fornire gli strumenti per far fronte a questa preoccupante problematica che insiste sulle risorse marine, si sa ancora molto poco sulla distribuzione spaziale e temporale del rumore antropico subacqueo, sia nel golfo di Trieste che in Italia. Il presente lavoro di ricerca, svolto in collaborazione con l’Agenzia Regionale per la Protezione dell’Ambiente del Friuli Venezia Giulia (ARPA FVG),si è posto il fine di colmare le lacune conoscitive in tale ambito ed ha voluto dare 1) un quadro dettagliato della distribuzione annuale del rumore antropico subacqueo in tutto il golfo di Trieste, 2) individuare, grazie ad esso, in termini spazio-temporali, eventuali aree di “sofferenza acustica” per la fauna marina normalmente presente nell’area e, infine, 3) valutare, tramite l’utilizzo di un modello di propagazione del rumore, le modalità sito-specifiche di propagazione del rumore, simulando scenari a diverse frequenze e in diverse stagioni dell’anno. A tal fine il rumore ambientale subacqueo è stato registrato mensilmente da gennaio a dicembre 2012 in 12 stazioni collocate in posizioni strategiche nel golfo di Trieste, valutando contemporaneamente anche il numero di navi, imbarcazioni e natanti presenti al momento della registrazione. La perdita in trasmissione del suono e stata calcolata utilizzando la Parabolic Equation, risolta col modello di propagazione acustica Miami Monterey Parabolic Equation(MMPE). I risultati evidenziano un’assenza di variabilità tra il clima acustico estivo e quello invernale, con un’intensità media è pari a 125 dB re 1 µPa e con picchi di massima intensità in prossimità del porto di Trieste e della zona al largo di Lignano; le intensità medie delle bande di 1/3 di ottava centrate sui 63 e 125 Hz, invece, sono sempre inferiori ai 100 dB re 1 µPa. A livello spaziale la zona caratterizzata dai va-lori di minore intensità è posizionata nella parte occidentale del golfo. La frequentazione antropica è in gran parte a carico del naviglio mercantile e dei natanti da diporto di piccole dimensioni. Esaminando l’andamento nella stagione estiva e in quella invernale, non è possibile rilevare differenze significative nelle diverse tipologie considerate, fatto che sembra giustificare l’assenza di variazione stagionale del clima acustico. A livello spaziale, nelle tre zone considerate, sia annualmente che d’inverno, si notano differenze significative solo nel numero delle imbarcazioni da pesca. In generale, le grandi navi sono quelle che danno il maggior apporto al rumore ambientale locale. I Gadidae, Clupeiformes e Sciaenidae, nelle zone orientali e centrali del golfo di Trieste, sono gli organismi sottoposti al maggior superamento, da parte del rumore di fondo, della rispettiva soglia acustica. Le differenze maggiori si riscontrano per lo più tra i 200 ed i 300 Hz circa, dove si colloca la maggior sensibilità uditiva di molte specie. Proprio in questo range di frequenze il modello MMPE indica la minima perdita in propagazione dell’onda sonora, che può raggiungere anche i 20 km di distanza dalla sorgente. Il modello ha permesso di evidenziare, quindi, che nelle vicinanze di forti sorgenti di rumore potrebbero aver luogo reazioni di tipo comportamentale e, che, per avere quadro più esaustivo, sarebbe consigliato monitorare altre frequenze oltre alle 63 e 125 Hz attualmente proposte. I risultati di questa ricerca, prima in Adriatico su scala spazio-temporale così ampia, hanno fornito una dettagliata analisi delle pressioni, dei potenziali impatti predominanti nell’area e delle condizioni di clima acustico in cui versa il golfo di Trieste. Per rispondere alle richieste della MSFD, i valori di intensità rilevati non possono escludere che siano a livelli tali da non avere effetti negativi sull’ambiente marino: possono verificarsi, infatti, effetti di tipo fisiologico-stressorio a livello del singolo organismo, e di interferenza nella comunicazione nelle specie che utilizzano il suono come strumento di trasferimento di informazione intra e interspecifico. Si ritiene che i valori di riferimento proposti in questo lavoro, in un’ottica precauzionale, siano un valido contributo iniziale per la determinazione dello stato ecologico dell’area. L’attuale prosecuzione dell’attività di monitoraggio del rumore sottomarino condotta da ARPA FVG, da affiancare in futuro a sistemi di acquisizione in continuo ed all’analisi di altre componenti del fenomeno acustico, quali il movimento delle particelle, permetterà sicuramente di ampliare, unitamente ad un confronto con le realtà transfrontaliere, le conoscenze sul rumore antropico. Ciò permetterà di regolamentare, anche da un punto di vista giuridico, l’introduzione del suono sotto la superficie del mare e di raggiungere gli obiettivi della MSFD previsti entro il 2020.
Under the sea surface sound plays a vital role for many marine organisms, as it provides a visual three-dimensional space surrounding the individual, which is often extends beyond that provided by other senses. Introduction by humans of different types of noise in this environment, therefore, affects the ability to identify and analyze the landscape surrounding noise may cause harmful interference with communication, behavior, fitness and, in general terms, with the species’ survival. The strategic position of Trieste Gulf, a shallow water coastal zone located inthe Northern Adriatic Sea, together with the geomorphological characteristics of its coasts, can develop a variety of activities that are highly dependent on the sea, like the merchant , fishing and pleasure boating. Given the ease of propagation of the sound wave in the water and taking into account that the noise does not know jurisdictionalbarriers, the species that live in it will inevitably be subjected to pressures of different scales ,both of which diffuse on time. Despite the European Union, thanks to 2008/56/EC Marine Strategy Framework Directive (MSFD ) seeks to provide the tools to cope with this troubling issue that insists on marine resources , is not yet known very little about the spatial and temporal distribution of anthropogenic underwater noise , both in the Gulf of Trieste in Italy. This research work was performed in collaboration with the Regional Agency for Environmental Protection of Friuli Venezia Giulia (ARPA FVG), place the order to fill gaps in knowledge in this area and wanted to give 1 ) a framework detailed annual distribution of background underwater noise in the Gulf of Trieste , 2 ) to identify, thanks to it, in terms of space and time, any areas of suffering acoustic for marine life normally present in the area and, finally,3 ) to assess, through the use of a model of noise propagation, the site-specific mode of propagation of noise, simulating scenarios at different frequencies and in different seasons of the year. Underwater ambient noise was recorded monthly from January to December 2012 at 12 stations placed at strategic locations in the Gulf of Trieste; at the same time total amount of ships, boats and vessels present at the time of registration were counted. Transmission loss was calculated using the Parabolic Equation, solved with the model of acoustic propagation Monterey Miami Parabolic Equation (MMPE). Results show an absence of the noise climate variability between summer and winter, with an average intensity level equals to 125 dB re 1 Pa and a maximum in the vicinity of the port of Trieste and the area off the coast of Lignano; the average intensities of the bands in 1/3 octave band centered on 63 and 125 Hz, however, are always less than 100 dB re 1 Pa. A spatially area characterized by the values of lower intensity is located in the western part of the Gulf. The attendance is largely anthropogenic load of merchant ships and small recreational boat. Looking at the summer and winter trend, it is not possible to detect significant differences in the various types considered, which seems to justify the absence of seasonal variation of the noise climate. In terms of space, in the three areas considered, both annual and winter, significant differences are noted only in the number of fishing vessels. In general, large ships are the ones that make the greatest contribution to local environmental noise. The Gadidae, Clupeiformes and Sciaenidae, in the eastern and central parts of the Gulf of Trieste, are the organisms subjected to the most overrun by the background noise of the respective acoustic threshold. The largest differences are found mostly between about 200 and 300 Hz, where does the greater auditory sensitivity of many species. In this frequency range MMPE model indicates minimal loss in sound propagation, which can reach up to 20 km away from the source. The model has allowed to show, therefore, that in the vicinity of strong noise sources could take place, and behavioral reactions, which, in order to have more complete picture, it would be advisable to monitor other frequencies in addition to the 63 and 125 Hz currently proposed. The results of this research, first in the Adriatic Sea onspatio-temporal scale so large, they have provided a detailed analysis of the pressures, the potential impacts of the conditions prevailing in the area and of the acoustic climate prevailing in the Gulf of Trieste. To meet the requirements of the MSFD, the intensity values measured cannot rule out that they are at levels that do not have adverse effects on the marine environment can occur, in fact, the effects of physiological stressorio - level of the individual organism, and interference in communication in species that use sound as a tool for intra-and interspecies transfer of information. It is believed that the reference values proposed in this work, from a precautionary measure, are a valuable contribution to the initial determination of the ecological status of the area. The current continuation of the monitoring of the underwater noise conducted by ARPA FVG, alongside in future systems of continuous acquisition and analysis of other components of the acoustic phenomenon, such as the movement of particles, will certainly broaden , together with a comparison with the realities of cross border knowledge about man-made noise. This will allow you to regulate, even from a legal point of view, the introduction of sound in the sea surface and to achieve the objectives of the MSFD expected by 2020.
XXVI Ciclo
1978
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Andronis, Nicholas. "Reliable Long-Range and High Ambient Noise Underwater Communication." Thesis, Curtin University, 2019. http://hdl.handle.net/20.500.11937/76485.

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Long-Range and high ambient noise underwater communication reliability improvement via sea trail performance validation of whole-of-system algorithm and engineering optimisations. The resulting 10 dB performance improvement can be used to increase the transmit source level by up to 10 dB, extend communication range by 50%, operate in environments with up to 10 dB louder ambient noise, reduce hydro-acoustic noise pollution or lowering battery power consumption with the potential of ocean powered networked communication.
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Epifanio, Chad Lawrence. "Acoustic daylight : passive acoustic imaging using ambient noise /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 1997. http://wwwlib.umi.com/cr/ucsd/fullcit?p9823704.

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AlMuhanna, Khalid A. "Acoustic modeshape inversion using deep water ambient noise measurements." Fairfax, VA : George Mason University, 2008. http://hdl.handle.net/1920/3214.

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Thesis (M.S.)--George Mason University, 2008.
Vita: p. 69. Thesis director: Kathleen E. Wage. Submitted in partial fulfillment of the requirements for the degree of Master of Science in Electrical Engineering. Title from PDF t.p. (viewed Aug. 27, 2008). Includes bibliographical references (p. 67-68). Also issued in print.
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Leroy, Charlotte. "Using ocean ambient noise cross-correlations for passive acoustic tomography." Thesis, Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/39636.

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Recent theoretical and experimental studies have demonstrated that an estimate of the Green's function between two hydrophones can be extracted passively from the cross‐correlation of ambient noise recorded at these two points. Hence monitoring the temporal evolution of these estimated Green's functions can provide a means for noise‐based acoustic tomography using a distributed sensor network. However, obtaining unbiased Green's function estimate requires a sufficiently spatially and temporally diffuse ambient noise field. Broadband ambient noise ([200 Hz-20 kHz]) was recorded continuously for 2 days during the SWAMSI09 experiment (next to Panama City, FL) using two moored vertical line arrays (VLAs) spanning 7.5m of the 20‐m water column and separated by 150 m. The feasibility of noise‐based acoustic tomography ([300-1000 Hz]) was assessed in this dynamic coastal environment over the whole recording period. Furthermore, coherent array processing of the computed ocean noise cross‐correlations between all pairwise combinations of hydrophones was used to separate acoustic variations between the VLAs caused by genuine environmental fluctuations-such as internal waves-from the apparent variations in the same coherent arrivals caused when the ambient noise field becomes strongly directional, e.g., due to an isolated ship passing in the vicinity of the VLAs.
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Li, Zizheng. "Vertical Noise Structure and Target Detection Performance in Deep Ocean Environments." PDXScholar, 2010. https://pdxscholar.library.pdx.edu/open_access_etds/138.

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In passive sonar systems, knowledge of low-frequency shipping noise is an important factor for target detection performance. However, an accurate model for the shipping noise structure is difficult to obtain, due to the varying distributions of ships and complicated underwater environment. This work characterizes low-frequency distant shipping noise observed in deep water environments as a function of receiver depth and vertical arrival structure for the case of a receiver below the conjugate depth. Surface shipping noise is examined using Monte Carlo simulations using a normal mode propagation model based on random distribution of ships and realistic parameters. The depth dependence of the simulated distant shipping noise is in agreement with published experimental measurements. A Vertical Line Array (VLA) is used to produce vertical beams that isolate the surface interference from nearby targets. Simulation results quantifying the beamformer output as a function of ocean environment, receiver aperture, and frequency are presented for both conventional and adaptive beamformers. The results suggest that conventional beamforming could detect the noisy target from both direct arrival and bottom bounce in the presence of distant shipping interferers and wind noise. However, the beamwidth of conventional beamforming is wider than that of adaptive beamforming. Once the motion effects of nearby ship interferences are considered, the adaptive beamforming using diagonal loading provides better detection performance. Preliminary adaptive beamforming results corresponding to different snapshot times show that motion effects can be minimized by using short observation times.
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Hipsey, Stephen J. "Ambient noise due to the shearing of the boundary layer under sea ice." Thesis, Monterey, California. Naval Postgraduate School, 1988. http://hdl.handle.net/10945/22869.

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Muzi, Lanfranco. "Advances in Autonomous-Underwater-Vehicle Based Passive Bottom-Loss Estimation by Processing of Marine Ambient Noise." PDXScholar, 2015. https://pdxscholar.library.pdx.edu/open_access_etds/2612.

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Accurate modeling of acoustic propagation in the ocean waveguide is important to SONAR-performance prediction, and requires, particularly in shallow water environments, characterizing the bottom reflection loss with a precision that databank-based modeling cannot achieve. Recent advances in the technology of autonomous underwater vehicles (AUV) make it possible to envision a survey system for seabed characterization composed of a short array mounted on a small AUV. The bottom power reflection coefficient (and the related reflection loss) can be estimated passively by beamforming the naturally occurring marine ambient-noise acoustic field recorded by a vertical line array of hydrophones. However, the reduced array lengths required by small AUV deployment can hinder the process, due to the inherently poor angular resolution. In this dissertation, original data-processing techniques are presented which, by introducing into the processing chain knowledge derived from physics, can improve the performance of short arrays in this particular task. Particularly, the analysis of a model of the ambient-noise spatial coherence function leads to the development of a new proof of the result at the basis of the bottom reflection-loss estimation technique. The proof highlights some shortcomings inherent in the beamforming operation so far used in this technique. A different algorithm is then proposed, which removes the problem achieving improved performance. Furthermore, another technique is presented that uses data from higher frequencies to estimate the noise spatial coherence function at a lower frequency, for sensor spacing values beyond the physical length of the array. By "synthesizing" a longer array, the angular resolution of the bottom-loss estimate can be improved, often making use of data at frequencies above the array design frequency, otherwise not utilized for beamforming. The proposed algorithms are demonstrated both in simulation and on real data acquired during several experimental campaigns.
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Sabey, Lindsay Erin. "Body and surface wave ambient noise seismic interferometry across the Salton Sea Geothermal Field, California." Thesis, Virginia Tech, 2015. http://hdl.handle.net/10919/51185.

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Virtual source gathers were generated using the principles of seismic interferometry from 135 hours of ambient noise recorded during a controlled-source survey across the Salton Sea Geothermal Field in southern California. The non-uniform nature of the noise sources violated a primary assumption of the method and generated artifacts in the data. The artifacts generated by the high-energy impulsive sources (e.g. earthquakes, shots) were removable using traditional methods of amplitude normalization prior to cross-correlation. The continuous source artifacts generated by the geothermal wells and highways required an unconventional approach of utilizing only normalized impulsive sources to successfully reduce the artifacts. Virtual source gathers were produced successfully that contained strong surface waves at 0.4-2.5 Hz, an order of magnitude below the corner frequency of the geophones, and modest body waves at 22-30 Hz, which are generally more difficult to obtain due to the need for many large, well-distributed subsurface sources. The virtual source gathers compare well to nearby explosive shots and are more densely spaced, but have a much lower signal-to-noise ratio. Analysis of the surface waves was complicated by strong higher-order modes. Spectral analysis of virtual source gathers required utilization of the geothermal plant energy, which produced usable signal at offsets required for mode separation. The virtual source dispersion curve compared well to a dispersion curve from a nearby explosive shot. P-waves were observed on the virtual source gathers. Creation of a low-quality multichannel reflection stack revealed two weak reflectors in the upper 2 km.
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10

Soars, Natalie Anne. "Habitat soundscapes and sound production by tropical and temperate sea urchins and the swimming behaviour of their larvae." Thesis, The University of Sydney, 2014. http://hdl.handle.net/2123/13923.

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The distribution, abundance and behaviour of soniferous organisms influence the spatial variability of underwater noise characteristics or ‘soundscape’. In this way, the soundscape provides useful information on habitat and assemblages that enables navigation in larvae and can be used for environmental assessment and monitoring. Despite the ecological importance of sea urchins and evidence they produce sound of their sound, knowledge gaps remain regarding the role of adult and larval sea urchins in acoustic ecology. In this thesis the sounds produced by 3 temperate and 3 tropical species of sea urchins were characterised. The soundscape of sea urchin habitat from important ecological systems (sea grass, temperate rocky reef, coral reef) in eastern Australia were also characterised. The sea urchins made a ‘crunching’ sound when feeding that was commonly produced around dawn, dusk or midnight. This sound ranged from 2-22 kHz with highest intensity from 2-8 kHz. Centrostephanus rodgersii appeared to contribute to a diurnal chorus between 2-8 kHz in the ‘barrens’ habitat of Jervis Bay, NSW. Analysis of the 5000 Hz 1/3rd octave band revealed a difference between barrens sites of up to 10 dB re 1 µPa2. A similar difference was found between two coral reef habitats recorded at One Tree Island, QLD. Arm angle development reflects swimming ability in sea urchin larvae and so was documented for two-armed and multi-armed larvae forms to characterise their swimming biology. In a behavioural study of early and settlement stage larvae of H. tuberculata and C. rodgersii, early stage larvae exhibited signs of negative phototaxis swimming down during the day, suggesting that they exhibit diurnal migration in the field. However, larvae did not modify this swimming behaviour in response to a reef noise. This research will enable detection of sea urchin sounds in ambient noise recordings and provides insight into the impacts of sea urchin populations on the marine soundscape.
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Books on the topic "Underwater sea ambient noise"

1

Urick, Robert J. Ambient noise in the sea. Los Altos, Calif: Peninsula Publishing, 1986.

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Urick, Robert J. Ambient noise in the sea. Los Altos, CA: Peninsula, 1986.

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Felizardo, Francis Camomot. Ambient noise and surface wave dissipation in the ocean. [Woods Hole, Mass: Woods Hole Oceanographic Institution and Massachusetts Institute of Technology, 1993.

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B, Evans Richard, and SpringerLink (Online service), eds. Ocean Ambient Noise: Measurement and Theory. New York, NY: William M. Carey and Richard B. Evans, 2011.

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Chiu, Ching-Sang. Report of the Office of Naval Research Phase II International Workshop on Shallow-Water Acoustics, Seattle, June 27, 1998. Monterey, Calif: Naval Postgraduate School, 1998.

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R, Kerman B., and Conference on Natural Physical Sources of Underwater Sound (1990 : Cambridge, England), eds. Natural physical sources of underwater sound: Sea surface sound (2). Dordrecht: Kluwer Academic Publishers, 1993.

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Kerman, B. R. Natural physical sources of underwater sound: Sea surface sound (2). Dordrecht: Springer Science, 1993.

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Bradley, Christopher R. Very low frequency seismo-acoustic noise below the sea floor (0.2-10 Hz). [Woods Hole, Mass: Woods Hole Oceanographic Institution, Massachusetts Institute of Technology, 1994.

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Hipsey, Stephen J. Ambient noise due to the shearing of the boundary layer under sea ice. Monterey, Calif: Naval Postgraduate School, 1988.

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R, Kerman B., and North Atlantic Treaty Organization. Scientific Affairs Division., eds. Sea surface sound: Natural mechanisms of surface generated noise in the ocean. Dordrecht: Kluwer Academic Publishers, 1988.

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Book chapters on the topic "Underwater sea ambient noise"

1

Dupuis, Hélène, and Alain Weill. "Is Sea Surface Ambient Noise Correlated to Wind Turbulence?" In Natural Physical Sources of Underwater Sound, 63–72. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1626-8_6.

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Rohr, Jim, and Garr Updegraff. "The Effect of Monomolecular Films on Low Sea State Ambient Noise." In Natural Physical Sources of Underwater Sound, 137–50. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1626-8_12.

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Wagstaff, R. A., and J. Newcomb. "Omnidirectional Ambient Noise Measurements in the Southern Baltic Sea During Summer and Winter." In Progress in Underwater Acoustics, 445–52. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-1871-2_52.

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Kozhevnikova, I. N., and L. Bjørnø. "Near Sea Surface Bubble Cloud Oscillation as Potential Sources of Ambient Noise." In Natural Physical Sources of Underwater Sound, 339–47. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1626-8_26.

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Esperandieu, J. L. "Mediterranean Underwater Ambient Noise Model." In Underwater Acoustic Data Processing, 141–47. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-2289-1_14.

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Wille, Peter C. "Ambient Noise: Characteristics of the Noise Field." In Adaptive Methods in Underwater Acoustics, 13–36. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-009-5361-1_2.

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Johannessen, Ola M., Susan G. Payne, Ken V. Starke, Gerry A. Gotthardt, and Ira Dyer. "Ice Eddy Ambient Noise." In Sea Surface Sound, 599–605. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-3017-9_43.

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Carey, William M., and Richard B. Evans. "The Air–Sea Boundary Interaction Zone." In Ocean Ambient Noise, 11–30. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-7832-5_2.

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Del Balzo, D. R., M. J. Authement, and D. A. Murphy. "Ambient Noise over Thickly Sedimented Continental Slopes." In Progress in Underwater Acoustics, 453–60. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-1871-2_53.

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Copeland, G. J. M. "Low Frequency Ambient Noise – Generalised Spectra." In Natural Physical Sources of Underwater Sound, 17–30. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1626-8_2.

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Conference papers on the topic "Underwater sea ambient noise"

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Li, Mingyuan, Jianzhang Liu, Yan Wei, Fengzhong Qu, Minhao Zhang, and Zairan Ding. "Numerical Simulation and Experimental Research of Hydrophone Flow Noise." In ASME 2020 39th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/omae2020-19121.

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Abstract Underwater acoustic communication is an important technology in deep-sea research. In underwater acoustic communication system, when hydrophone as acoustic receiver is exposed to sea environment and moves along with an underwater vehicle, its performance is prone to be affected by various ambient noises, among which its generated flow noise is the major source. This would especially influence the performance and shorten the communication distance of underwater acoustic communication system. In this paper, we try to unveil how the flow field is correlated with the flow noise of hydrophone. The Large Eddy Simulation (LES) method and acoustic analogy were used to simulate the flow field and the sound field around hydrophone, respectively. The flow noise of hydrophone at different moving velocities was obtained. Then experiments in an anechoic tank were carried out to verify the simulation results. The subsequent analysis of the experimental results shows that the flow noise has obvious influence on underwater communication, and as the hydrophone moves faster, its sound pressure level climbs up higher. This study also further verifies the reliability of simulating the flow noise of bare hydrophone by computational fluid dynamics, and provides the theoretical basis for improving the signal-to-noise ratio of low-frequency underwater acoustic communication system.
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Veni, S. Kiruba, S. Sakthivel Murugan, and V. Natarajan. "Modified LMS adaptive algorithm for detection of underwater acoustic signals against ambient noise in shallow water of Indian sea." In 2011 International Conference on Recent Trends in Information Technology (ICRTIT). IEEE, 2011. http://dx.doi.org/10.1109/icrtit.2011.5972389.

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Kiruba Veni, S., S. Sakthivel Murugan, and S. Radha. "Adaptive algorithm for detection of underwater acoustic signals against ambient noise in shallow water at Indian seas." In 2011 International Conference on Emerging Trends in Electrical and Computer Technology (ICETECT 2011). IEEE, 2011. http://dx.doi.org/10.1109/icetect.2011.5760219.

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Kawade, Akshada N., Vidhya M. Shinde, Rajveer K. Shastri, and Arnab Das. "Analysis of ship noise from underwater ambient noise." In 2016 Conference on Advances in Signal Processing (CASP). IEEE, 2016. http://dx.doi.org/10.1109/casp.2016.7746177.

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Sabna, N., and P. R. Saseendran Pillai. "Effect of ambient noise on OFDM signals." In 2015 IEEE Underwater Technology (UT). IEEE, 2015. http://dx.doi.org/10.1109/ut.2015.7108291.

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Bahrami, Nima, Nor Hisham Haji Khamis, and Ameruddin Baharom. "Evaluation of underwater acoustical intermittent ambient noise." In 2015 IEEE 11th International Colloquium on Signal Processing & Its Applications (CSPA). IEEE, 2015. http://dx.doi.org/10.1109/cspa.2015.7225609.

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Baykut, Suleyman, Seyhmus Direk, Cengiz Gezer, Ufuk Ulug, and Tayfun Akgul. "Underwater Ambient Noise Measurement and Recording System." In 2007 IEEE 15th Signal Processing and Communications Applications. IEEE, 2007. http://dx.doi.org/10.1109/siu.2007.4298705.

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Belviranli, Suheyl, Tayfun Akgul, and Suleyman Baykut. "Underwater ambient noise analysis using wavelet transform." In 2009 IEEE 17th Signal Processing and Communications Applications Conference (SIU). IEEE, 2009. http://dx.doi.org/10.1109/siu.2009.5136463.

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Chen, Yougan, Weijian Yu, Xiaokang Zhang, and Xiaomei Xu. "Underwater ambient noise analysis on dongshan offshore." In WUWNet'18: The 13th ACM International Conference on Underwater Networks & Systems. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3291940.3291958.

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Pihl, Jörgen NilsBertil. "Archipelago Ambient Noise and its dependence on weather." In International Conference on Underwater Acoustics. ASA, 2020. http://dx.doi.org/10.1121/2.0001305.

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Reports on the topic "Underwater sea ambient noise"

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Stein, Peter J., Subramaniam D. Rajan, and James K. Lewis. Thermal Fracturing, Underwater Ambient Noise Measurements and Modeling. Fort Belvoir, VA: Defense Technical Information Center, September 1997. http://dx.doi.org/10.21236/ada629357.

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Rohr, Jim J., and Garr Updegraff. The Effect of Monomolecular Films on Low Sea State Ambient Noise. Fort Belvoir, VA: Defense Technical Information Center, August 1991. http://dx.doi.org/10.21236/ada240224.

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Muzi, Lanfranco. Advances in Autonomous-Underwater-Vehicle Based Passive Bottom-Loss Estimation by Processing of Marine Ambient Noise. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.2608.

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Buckingham, M., and G. Deane. Geo-acoustic Stratification Deep in the Sea Bed from Ambient Noise in Shallow Water. Fort Belvoir, VA: Defense Technical Information Center, March 1997. http://dx.doi.org/10.21236/ada333313.

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Terrill, Eric J. Expanded Development of a Float for the Measurement of Ambient Noise and Air-Sea Interaction Processes. Fort Belvoir, VA: Defense Technical Information Center, September 2006. http://dx.doi.org/10.21236/ada612132.

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Andrew, Rex K., Frank S. Henyey, and Andy Ganse. APL-UW Deep Water Propagation: Philippine Sea Signal Physics and North Pacific Ambient Noise and NPANL Support. Fort Belvoir, VA: Defense Technical Information Center, September 2014. http://dx.doi.org/10.21236/ada617879.

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