Measuring underwater ambient noise: problems and pitfalls
Measuring underwater ambient noise: problems and pitfalls
 
  Ambient noise is a key factor in determining the performance of underwater acoustic systems. Ambient noise is that sound received by an omni-directional sensor which is not from the sensor itself or the manner in which it is mounted. Noise from the sensor or its mounting is termed self-noise. Ambient noise is made up of contributions from many sources, both natural and anthropogenic. These sounds combine to give the continuum of noise against which all acoustic receivers have to detect the signals they are looking for.
Ambient noise is deceptively easy to measure, just deploy a hydrophone, make a recording, transform into the frequency domain, and you then have the level and spectral characteristics of ambient noise. Unfortunately this is rarely adequate to fully characterise ambient noise and further difficulties may be introduced by the way the hydrophone is deployed.
Ambient noise is made up of a number of contributions, each of which can vary in a random and/or cyclic manner. The cyclic variation may have a period corresponding to the tidal, diurnal, weekly, lunar, monthly or annual cycles. For any one application it is important to match the measurement time to the relevant cyclic variations. It is also important to consider how the raw acoustic data can be processed to reduce the information to manageable levels while still retaining the important factors.
Noise radiated from a discrete source is called radiated noise and is measured in a similar manner to ambient noise. Measurements are usually made close to the noise source so that the radiated noise is sufficiently stronger than the ambient noise to ensure that it is the radiated noise being measured. Radiated noise can be highly directional so it is important to make a series of measurements around the source.
If the characteristics of the individual contributions to ambient noise, including radiated noise from individual sources, are understood then it is possible to model the ambient noise field. For many applications this can considerably reduce the need for detailed, and expensive, field measurements.
Making the ambient noise measurements can be hampered by poor measurement procedure. Care must be exercised to minimise the self-noise of the measurement equipment and the platform from which it is deployed. It is also important to consider the depth of the measurement sensor and any directional characteristics of both the sensor and the noise field.
This paper will review how ambient noise can be measured, the length of time for which the measurements need to be made, and the equipment that should be used to collect the data. It will also consider how the data should be processed to obtain meaningful, but manageable, information.
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      Harland, E.J.
      
        a6ed2fcd-6c8b-40f1-8af5-46f8d6c7d2d9
      
     
  
  
    
      Compton, R.
      
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      Dible, S.
      
        abd2a0d6-08cb-40de-bc69-ceec9c0d3a8f
      
     
  
    
      Guymer, T.H.E.
      
        aed8c9bf-cf72-4ba7-9c1a-46f2a01ef18a
      
     
  
    
      Lepper, P.
      
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      Richards, S.
      
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      Robinson, S.
      
        731c9c38-7030-44b7-827e-f408f9cda5bd
      
     
  
   
  
  
    
      October 2008
    
    
  
  
    
      Harland, E.J.
      
        a6ed2fcd-6c8b-40f1-8af5-46f8d6c7d2d9
      
     
  
    
      Compton, R.
      
        85516011-757e-4261-8fc7-259e068e697f
      
     
  
    
      Dible, S.
      
        abd2a0d6-08cb-40de-bc69-ceec9c0d3a8f
      
     
  
    
      Guymer, T.H.E.
      
        aed8c9bf-cf72-4ba7-9c1a-46f2a01ef18a
      
     
  
    
      Lepper, P.
      
        a6d1154f-a526-4613-baae-8043db6a1481
      
     
  
    
      Richards, S.
      
        231c6be9-3769-47b3-ae97-06ea844e0448
      
     
  
    
      Robinson, S.
      
        731c9c38-7030-44b7-827e-f408f9cda5bd
      
     
  
       
    
 
  
    
      
  
  
  
  
    Harland, E.J.
  
  
  
  
   
    (2008)
  
  
    
    Measuring underwater ambient noise: problems and pitfalls.
  
  
  
    
      Compton, R., Dible, S., Guymer, T.H.E., Lepper, P., Richards, S. and Robinson, S. 
      (eds.)
    
  
  
    
    
    
      
        
   
  
    Institute of Acoustics Underwater Noise 2008 Conference: Underwater Noise Measurement, Impact and Mitigation, , Southampton, United Kingdom.
   
        
        
        14 - 15  Oct 2008.
      
    
  
  
  
      
          
          
        .
    
  
  
  
  
  
   
  
    
      Record type:
      Conference or Workshop Item
      (Paper)
      
      
    
   
    
      
        
          Abstract
          Ambient noise is a key factor in determining the performance of underwater acoustic systems. Ambient noise is that sound received by an omni-directional sensor which is not from the sensor itself or the manner in which it is mounted. Noise from the sensor or its mounting is termed self-noise. Ambient noise is made up of contributions from many sources, both natural and anthropogenic. These sounds combine to give the continuum of noise against which all acoustic receivers have to detect the signals they are looking for.
Ambient noise is deceptively easy to measure, just deploy a hydrophone, make a recording, transform into the frequency domain, and you then have the level and spectral characteristics of ambient noise. Unfortunately this is rarely adequate to fully characterise ambient noise and further difficulties may be introduced by the way the hydrophone is deployed.
Ambient noise is made up of a number of contributions, each of which can vary in a random and/or cyclic manner. The cyclic variation may have a period corresponding to the tidal, diurnal, weekly, lunar, monthly or annual cycles. For any one application it is important to match the measurement time to the relevant cyclic variations. It is also important to consider how the raw acoustic data can be processed to reduce the information to manageable levels while still retaining the important factors.
Noise radiated from a discrete source is called radiated noise and is measured in a similar manner to ambient noise. Measurements are usually made close to the noise source so that the radiated noise is sufficiently stronger than the ambient noise to ensure that it is the radiated noise being measured. Radiated noise can be highly directional so it is important to make a series of measurements around the source.
If the characteristics of the individual contributions to ambient noise, including radiated noise from individual sources, are understood then it is possible to model the ambient noise field. For many applications this can considerably reduce the need for detailed, and expensive, field measurements.
Making the ambient noise measurements can be hampered by poor measurement procedure. Care must be exercised to minimise the self-noise of the measurement equipment and the platform from which it is deployed. It is also important to consider the depth of the measurement sensor and any directional characteristics of both the sensor and the noise field.
This paper will review how ambient noise can be measured, the length of time for which the measurements need to be made, and the equipment that should be used to collect the data. It will also consider how the data should be processed to obtain meaningful, but manageable, information.
        
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      Published date: October 2008
 
    
  
  
    
  
    
  
    
     
        Venue - Dates:
        Institute of Acoustics Underwater Noise 2008 Conference: Underwater Noise Measurement, Impact and Mitigation, , Southampton, United Kingdom, 2008-10-14 - 2008-10-15
      
    
  
    
  
    
     
    
  
    
  
    
  
    
  
  
  
    
  
    
  
  
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        Local EPrints ID: 65368
        URI: http://eprints.soton.ac.uk/id/eprint/65368
        
        
        
        
          PURE UUID: af4f92cf-1dc3-42ae-9ecf-cae58edea7da
        
  
    
        
          
            
          
        
    
        
          
        
    
        
          
        
    
        
          
        
    
        
          
        
    
        
          
        
    
        
          
        
    
  
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  Date deposited: 02 Mar 2009
  Last modified: 10 Dec 2021 15:58
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      Contributors
      
          
          Author:
          
            
              
              
                E.J. Harland
              
              
            
            
          
        
      
          
          Editor:
          
            
            
              R. Compton
            
          
        
      
          
          Editor:
          
            
            
              S. Dible
            
          
        
      
          
          Editor:
          
            
            
              T.H.E. Guymer
            
          
        
      
          
          Editor:
          
            
            
              P. Lepper
            
          
        
      
          
          Editor:
          
            
            
              S. Richards
            
          
        
      
          
          Editor:
          
            
            
              S. Robinson
            
          
        
      
      
      
    
  
   
  
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