DocumentCode
601386
Title
Modeling of shallow water ambient noise based on adiabatic mode theory
Author
Chang, Andrea ; Yu-Chen Cheng ; Chi-Fang Chen ; Hsiang-Chih Chan ; Sheng-Fong Lin
Author_Institution
Nat. Taiwan Univ., Taipei, Taiwan
fYear
2013
fDate
5-8 March 2013
Firstpage
1
Lastpage
5
Abstract
State-of-the-Art noise prediction has been used to model noise emissions from industrial facilities, shipping activity in underwater environment to estimate noise level contours beyond the source area, and to determine specific impacts at potentially sensitive receptors, including marine mammals, etc. This paper presents the ambient noise modeling using adiabatic mode theory as acoustic propagation model to evaluate the noise statistics including temporal coherence and spatial variability offshore western Taiwan. In this model, the ocean model (Taiwan Coastal Ocean Nowcast/Forecast System, TCONFS, formulated on the basis of the Princeton Ocean Model) generating time varying/spatial dependent temperature profiles for water column variability, and geo-acoustic database are used as environmental inputs to this model. The modeling results demonstrate the temporal/spatial variability induced by time varying ocean model output, manifested by measured data. (This work is supported by National Science Council of Taiwan).
Keywords
acoustic noise; oceanographic techniques; statistics; underwater acoustic propagation; Princeton ocean model; TCONFS; Taiwan Coastal Ocean Nowcast-Forecast System; acoustic propagation model; adiabatic mode theory; geo-acoustic database; industrial facilities; noise emission modeling; noise level contour estimation; noise prediction; noise statistics evaluation; ocean model; offshore western Taiwan; shallow water ambient noise modeling; shipping activity; spatial variability; temporal coherence; temporal variability; time varying ocean model output; time varying-spatial dependent temperature profiles; underwater environment; water column variability; Acoustic beams; Marine vehicles; Noise; Noise level; Ocean temperature; Predictive models;
fLanguage
English
Publisher
ieee
Conference_Titel
Underwater Technology Symposium (UT), 2013 IEEE International
Conference_Location
Tokyo
Print_ISBN
978-1-4673-5948-1
Type
conf
DOI
10.1109/UT.2013.6519879
Filename
6519879
Link To Document