Katrina Pedersen on Muck Rack

Katrina Pedersen

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As seen in: Nature, MDPI, Medscape, Abbotsford News, OncLive, Peace Arch News, International Journal of Radiation Oncology*Biology*Physics, Cloverdale Reporter, North Delta Reporter
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Articles

"Modeling Continental-Scale Outdoor Environmental Sound Levels with Lim" by Katrina Lynn Pedersen

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By Katrina Pedersen, Katrina Lynn, Brigham Young
| scholarsarchive.byu.edu
Physical and Mathematical Sciences; Physics and Astronomy https://lib.byu.edu/about/copyright/ Pedersen, Katrina Lynn, "Modeling Continental-Scale Outdoor Environmental Sound Levels with Limited Data" (2021). Theses and Dissertations. 10429. https://scholarsarchive.byu.edu/etd/10429 Dissertation http://hdl.lib.byu.edu/1877/etd13267 sound level models, geospatial modeling, machine learning, ensemble models, uncertainty quantification, GIS, environmental noise, validation
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K-Means Clustering of 51 Geospatial Layers Identified for Use in Continental-Scale Modeling of Outdoor Acoustic Environments

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By Katrina Pedersen, Ryan Jensen, Lucas Hall, Mitchell C. Cutler
| MDPI
This is an early access version, the complete PDF, HTML, and XML versions will be available soon. Open AccessArticle by Katrina Pedersen 1, Ryan R. Jensen 2, Lucas K. Hall 3, Mitchell C. Cutler 1, Mark K. Transtrum 1,*, Kent L. Gee 1 and Shane V.
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Validating two geospatial models of continental-scale environmental sound levels

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By Katrina Pedersen, Mark K. Transtrum, Kent L. Gee, Shane V. Lympany
| asa.scitation.org
Modeling environmental sound levels is challenging because ambient sound is the accumulation of many effects, including diverse sources, barriers to propagation, etc., and can vary with time of day or season. Accurate characterization of acoustic environments has potentially broad applications, and data-driven approaches using machine learning complement direct physical modeling of sources and propagation effects. These approaches are finding use in small-scale land-use regression models,11. D.
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