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Mapping probability of shipping sound exposure level
Cédric Gervaise1, Florian Aulanier2, Yvan Simard2
1Chair Chorus, Foundation of Grenoble Institute of Technology and GIPSA-lab 46, Avenue Felix Viallet, 38031, Grenoble Cedex 1, France cedric.gervaise@gipsa-lab.grenoble-inp.fr.
The Journal of the Acoustical Society of America
|June 22, 2015
Summary
Mapping vessel noise helps identify aquatic ecosystems at risk from shipping noise. This study presents a probabilistic model for sound exposure levels (SEL) to pinpoint these high-risk areas.
Area of Science:
- Marine acoustics
- Environmental impact assessment
- Oceanography
Background:
- Shipping noise poses a threat to marine ecosystems.
- Sound exposure levels (SEL) are key metrics for assessing risk.
- Understanding the spatial distribution of noise is crucial.
Purpose of the Study:
- To develop a probabilistic method for modeling shipping sound exposure levels (SEL).
- To obtain the probability distribution function (pdf) of SEL.
- To identify areas of concern for aquatic ecosystems affected by shipping noise.
Main Methods:
- Utilized the sonar equation for acoustic modeling.
- Employed statistical relations to link probability distribution functions (pdfs).
- Modeled pdfs of ship traffic density, source levels, and transmission losses.
Main Results:
- Developed a probabilistic shipping SEL modeling method.
- Obtained the pdf of SEL by combining traffic, source, and transmission loss data.
- Provided a framework for mapping potential noise impacts.
Conclusions:
- The probabilistic SEL model can effectively map areas impacted by shipping noise.
- This method aids in identifying vulnerable aquatic ecosystems.
- Informed environmental management and conservation efforts.
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