A Methodology for Shipping Noise Field Calibration and Excess Noise Estimation: The Azores Case Study

被引:2
|
作者
Jesus, Sergio M. [1 ]
Soares, Cristiano [2 ]
Romagosa, Miriam [3 ,4 ]
Cascao, Irma [3 ,4 ]
Duarte, Ricardo [1 ]
Zabel, Friedrich [2 ]
Silva, Monica A. [3 ,4 ]
机构
[1] Univ Algarve, Lab Robot & Engn Syst LARSyS, P-8005139 Faro, Portugal
[2] Marsensing Lda, Ctr Empresarial Pav A5,Campus Gambelas, P-8005139 Faro, Portugal
[3] Univ Azores, Inst Marine Res IMAR, P-9901862 Horta, Portugal
[4] Univ Azores, Inst Marine Sci Okeanos, P-9901862 Horta, Portugal
关键词
ocean soundscape; shipping noise; excess noise; field calibration; Azores archipelago; GENERATED AMBIENT NOISE; WATERS; OCEAN;
D O I
10.3390/jmse10111763
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
Economic globalization and the continuous search for food, energy and raw materials led to an estimated 3 dB/decade increase of ocean noise intensity. Determining the level of anthropogenic noise, the so-called excess noise, and building identifiable meaningful indicators for supporting marine management policies currently requires extensive observation data and computer modeling. For modeling purposes, in this study, anthropogenic noise was reduced to shipping traffic drawn from Automatic Identification System data, and environmental sound was attributed to surface wind only. Data-model comparison allowed introducing a methodology for simple model calibration and estimate excess noise. This methodology was tested on acoustic recordings performed in June 2018 at three locations to the southwest of Faial-Pico Islands in the Azores archipelago. The results show that field-calibrated excess noise sound maps are in line with the shipping distribution in the area, revealing a number of potentially marine life-threatening hotspots. Excess noise addresses the need for a quantifiable measure of ocean noise only and therefore offers a basis for building suitable continuous anthropogenic noise pollution indicators.
引用
收藏
页数:16
相关论文
共 50 条
  • [11] A study on the estimation of noise temperature of a microwave standard noise source
    Iida H.
    Inaba T.
    Shimada Y.
    Komiyama K.
    IEEJ Transactions on Fundamentals and Materials, 2011, 131 (04) : 300 - 301
  • [12] Noise cross PSD estimation using phase information in diffuse noise field
    Rahmani, M.
    Akbari, A.
    Ayad, B.
    Lithgow, B.
    SIGNAL PROCESSING, 2009, 89 (05) : 703 - 709
  • [13] Theory of excess noise of a quantum dot in the presence of a microwave field
    Sun, QF
    Wang, J
    Lin, TH
    PHYSICAL REVIEW B, 2000, 61 (19): : 13032 - 13036
  • [14] IMRAN: a noise estimation method for relative radiometric calibration data
    Yu, Kai
    Zhao, Yongchao
    Liu, Suhong
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2015, 36 (16) : 4177 - 4194
  • [15] Broadband Maximum Likelihood Estimation of shallow ocean parameters using shipping noise
    Mecklenbräuker, CF
    Gershman, A
    2001 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-VI, PROCEEDINGS: VOL I: SPEECH PROCESSING 1; VOL II: SPEECH PROCESSING 2 IND TECHNOL TRACK DESIGN & IMPLEMENTATION OF SIGNAL PROCESSING SYSTEMS NEURALNETWORKS FOR SIGNAL PROCESSING; VOL III: IMAGE & MULTIDIMENSIONAL SIGNAL PROCESSING MULTIMEDIA SIGNAL PROCESSING - VOL IV: SIGNAL PROCESSING FOR COMMUNICATIONS; VOL V: SIGNAL PROCESSING EDUCATION SENSOR ARRAY & MULTICHANNEL SIGNAL PROCESSING AUDIO & ELECTROACOUSTICS; VOL VI: SIGNAL PROCESSING THEORY & METHODS STUDENT FORUM, 2001, : 3105 - 3108
  • [16] Case study: Prediction and field tests of railway noise and effects of a low-height noise barrier
    Park, Yuna
    Koh, Hyo-In
    NOISE CONTROL ENGINEERING JOURNAL, 2020, 68 (04) : 303 - 314
  • [17] Methodology for the evaluation of low-frequency environmental noise: a case-study
    Tombolato, Andrea
    Bonomini, Francesco
    Di Bella, Antonino
    APPLIED ACOUSTICS, 2022, 187
  • [18] A CASE STUDY OF THE EFFECT OF ASSESSMENT HEIGHT OF THE END NOISE INDICATORS ON THE ESTIMATION OF POPULATION EXPOSURE TO ROAD TRAFFIC NOISE
    Kotronarou, Anastasia
    Lykoudis, Spyridon
    Karameros, Nikolaos
    Siaparinas, Konstantinos
    Kaimaki, Styliani
    PROCEEDINGS OF THE 23RD INTERNATIONAL CONGRESS ON SOUND AND VIBRATION: FROM ANCIENT TO MODERN ACOUSTICS, 2016,
  • [19] In vivo noise texture estimation: development and validation of an automated methodology
    Smith, Taylor Brunton
    Abadi, Ehsan
    Sauer, T. J.
    Fu, Wanyi
    Solomon, Justin
    Samei, Ehsan
    MEDICAL IMAGING 2020: PHYSICS OF MEDICAL IMAGING, 2020, 11312
  • [20] Theoretical and experimental study of excess noise in elastic solids
    Federal Scientific Cent `Triniti', Moscow, Russia
    Phys A Stat Theor Phys, 1-2 (94-101):