2019_programme: IDENTIFICATION OF HIGH NOISE ZONES WITH A 3D PILE DRIVING NOISE MODEL

• Session: 14. Environmental acoustics and noise
  Organiser(s): Barclay David
• Lecture: IDENTIFICATION OF HIGH NOISE ZONES WITH A 3D PILE DRIVING NOISE MODEL
  Paper ID: 805
  Author(s): Von Pein Jonas, Klages Elin, Lippert Stephan, Von Estorff Otto
  Presenter: Von Pein Jonas
  Presentation type: oral
  Abstract: Piles are the state-of-the-art technology for fastening the foundations of offshore wind power plants to the sea-floor. Due to the ongoing construction and development of offshore wind farms, pile driving activities at sea are increasing. During the piling process high noise levels are emitted into the water. These levels are potentially harmful for the marine environment, wherefore limits for the noise levels apply. These limits can be complied with by the use of noise mitigation systems, e.g., bubble curtains. In order to assess, if such systems are needed, detailed pile driving noise models for the prediction of the underwater noise emissions are necessary. Typical pile driving noise models are based on the finite-element-method (FEM) for ranges up to 1 km and coupled to a far-field model for distances further away from the pile. The FE-models are set up rotationally symmetric. Therefore, only small changes of the bathy¬metry can be accounted for. In order to consider 3D-effects induced by a varying bathymetry, e.g. a full 3D parabolic equation (PE) model can be used for the far-field computation. \nAt a construction site with a variable water depth, the identification of hydrophone locations for noise monitoring is not straightforward. Therefore, zones with high noise levels have to be identified in a reliable way. \nWithin this contribution results of pile driving noise computations for a real-life future pile driving scenario with a heavily changing bathymetry are shown. In the final step, the possibility of finding these high noise zones by the examination of the transmission loss plot of a point source is examined. \n
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• Corresponding author: Mr Von Pein Jonas
  Affiliation: Hamburg University of Technology (TUHH), Institute of Modelling and Computation
  Country: Germany
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