Capturing the spatial variability of noise levels based on a short-term monitoring campaign and comparing noise surfaces against personal exposures collected through a panel study

Environmental Research
Masoud Fallah-ShorshaniMarianne Hatzopoulou

Abstract

Environmental noise can cause important cardiovascular effects, stress and sleep disturbance. The development of appropriate methods to estimate noise exposure within a single urban area remains a challenging task, due to the presence of various transportation noise sources (road, rail, and aircraft). In this study, we developed a land-use regression (LUR) approach using a Generalized Additive Model (GAM) for LAeq (equivalent noise level) to capture the spatial variability of noise levels in Toronto, Canada. Four different model formulations were proposed based on continuous 20-min noise measurements at 92 sites and a leave one out cross-validation (LOOCV). Models where coefficients for variables considered as noise sources were forced to be positive, led to the development of more realistic exposure surfaces. Three different measures were used to assess the models; adjusted R2 (0.44-0.64), deviance (51-72%) and Akaike information criterion (AIC) (469.2-434.6). When comparing exposures derived from the four approaches to personal exposures from a panel study, we observed that all approaches performed very similarly, with values for the Fractional mean bias (FB), normalized mean square error (NMSE), and normalized absolute diffe...Continue Reading

References

Jul 21, 2011·Environmental Science & Technology·Dan XieJining Chen
Dec 12, 2012·Environmental Health Perspectives·Mette SørensenOle Raaschou-Nielsen
Sep 18, 2014·Journal of Exposure Science & Environmental Epidemiology·Inmaculada AguileraNino Künzli
Oct 18, 2016·Journal of Exposure Science & Environmental Epidemiology·Martina S RagettliAudrey Smargiassi
Oct 21, 2017·International Journal of Environmental Research and Public Health·Chloé SieberMartin Röösli

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