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Spatial and temporal determinants of A-weighted and frequency specific sound levels-An elastic net approach.

ABSTRACT: BACKGROUND:Urban sound levels are a ubiquitous environmental stressor and have been shown to be associated with a wide variety of health outcomes. While much is known about the predictors of A-weighted sound pressure levels in the urban environment, far less is known about other frequencies. OBJECTIVE:To develop a series of spatial-temporal sound models to predict A-weighted sound pressure levels, low, mid, and high frequency sound for Boston, Massachusetts. METHODS:Short-term sound levels were gathered at n = 400 sites from February 2015 - February 2016. Spatial and meteorological attributes at or near the sound monitoring site were obtained using publicly available data and a portable weather station. An elastic net variable selection technique was used to select predictors of A-weighted, low, mid, and high frequency sound. RESULTS:The final models for low, mid, high, and A-weighted sound levels explained 59 - 69% of the variability in each measure. Similar to other A-weighted models, our sound models included transportation related variables such as length of roads and bus lines in the surrounding area; distance to road and rail lines; traffic volume, vehicle mix, residential and commercial land use. However, frequency specific models highlighted additional predictors not included in the A-weighted model including temperature, vegetation, impervious surfaces, vehicle mix, and density of entertainment establishments and restaurants. CONCLUSIONS:Building spatial temporal models to characterize sound levels across the frequency spectrum using an elastic net approach can be a promising tool for noise exposure assessments within the urban soundscape. Models of sound's character may give us additional important sound exposure metrics to be utilized in epidemiological studies.

SUBMITTER: Walker ED

PROVIDER: S-EPMC5903552 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature

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Spatial and temporal determinants of A-weighted and frequency specific sound levels-An elastic net approach.

Walker Erica D ED Hart Jaime E JE Koutrakis Petros P Cavallari Jennifer M JM VoPham Trang T Luna Marcos M Laden Francine F

Environmental research 20170918

<h4>Background</h4>Urban sound levels are a ubiquitous environmental stressor and have been shown to be associated with a wide variety of health outcomes. While much is known about the predictors of A-weighted sound pressure levels in the urban environment, far less is known about other frequencies.<h4>Objective</h4>To develop a series of spatial-temporal sound models to predict A-weighted sound pressure levels, low, mid, and high frequency sound for Boston, Massachusetts.<h4>Methods</h4>Short-t ...[more]

PMID: 28865401

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Dataset Information

Spatial and temporal determinants of A-weighted and frequency specific sound levels-An elastic net approach.

Publications

Spatial and temporal determinants of A-weighted and frequency specific sound levels-An elastic net approach.

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