On Directional Filtering for Sound Source Verification and Source Level Estimation
摘要
Sound source verification (SSV) is an important regulatory requirement for permitting noise-generating activities. Linking measured sound levels to a specific source in the ocean is often difficult due to contributions from sources such as vessels and biological sounds. Directional acoustic sensing can provide bearings to sounds. Analyzing acoustic data by frequency and direction (e.g., through “azigrams”) has been shown to provide important insights into the directional variability of sound. Previously, the effectiveness of using an acoustic vector sensor to directionally filter and isolate specific sound sources was demonstrated. There, directional filtering was applied to sounds produced by two marine energy sources: the decommissioning of an oil platform and an operating tidal energy converter. By applying a directional mask, the influences of off-axis ambient sound field contributions, such as vessels or precipitation, on source-specific analysis can be reduced. Here, the technical context of the method’s development is discussed. Source-sound exposure level (SEL) and source level estimates associated with oil platform decommissioning are made with the filtered and unfiltered data. Then, ranges to the onset of temporary threshold shift (TTS) are calculated from the source-SEL values to demonstrate the impact directional filtering can have on relevant estimates for offshore construction applications.