Block Island Noise Modeling Data

Khan, Anwar; Bigger, David

doi:10.21947/2569736

Title: Block Island Noise Modeling Data

Dataset
Other Related Research

Abstract

Noise propagation near Block Island was simulated to assess environmental impacts of impact pile driving during wind turbine construction. Computational models complement field-recorded acoustic data, providing insights into sound attenuation, spectral variability, and propagation dynamics. The dataset includes: 1. Propagation Models: Simulated underwater sound fields documenting sound pressure and directional variability across frequency bands and distances. 2. Spectral Analysis (LTSA): Long-term averages and processed outputs calculating acoustic intensity over time. 3. Visualization Files: Graphs, 2D/3D simulation results, and reference calculations used in sound modeling.

Authors:

Khan, Anwar; Bigger, David

HDR
BOEM

Publication Date:: Mon Dec 29 23:00:00 EST 2025

DOE Contract Number:: AC05-76RL01830

Research Org.:: Pacific Northwest National Laboratory

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)

Subject:: 17 WIND ENERGY

OSTI Identifier:: 2569736

DOI:: https://doi.org/10.21947/2569736

Citation Formats


                    Khan, Anwar, and Bigger, David. Block Island Noise Modeling Data.  United States: N. p., 2025. 
        Web.  doi:10.21947/2569736.

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                    Khan, Anwar, & Bigger, David. Block Island Noise Modeling Data.  United States.  doi:https://doi.org/10.21947/2569736

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                    Khan, Anwar, and Bigger, David. 2025.  
"Block Island Noise Modeling Data".  United States.  doi:https://doi.org/10.21947/2569736.  https://www.osti.gov/servlets/purl/2569736. Pub date:Mon Dec 29 23:00:00 EST 2025

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@article{osti_2569736,

  title        = {Block Island Noise Modeling Data},

  author       = {Khan, Anwar and Bigger, David},

  abstractNote = {Noise propagation near Block Island was simulated to assess environmental impacts of impact pile driving during wind turbine construction. Computational models complement field-recorded acoustic data, providing insights into sound attenuation, spectral variability, and propagation dynamics. The dataset includes: 1. Propagation Models: Simulated underwater sound fields documenting sound pressure and directional variability across frequency bands and distances. 2. Spectral Analysis (LTSA): Long-term averages and processed outputs calculating acoustic intensity over time. 3. Visualization Files: Graphs, 2D/3D simulation results, and reference calculations used in sound modeling.},

  doi          = {10.21947/2569736},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Mon Dec 29 23:00:00 EST 2025},

  month        = {Mon Dec 29 23:00:00 EST 2025}

}

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DOI: https://doi.org/10.21947/2569736

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