Environ Res 2021 04 22;195:110905. Epub 2021 Feb 22.
Canadian Urban Environmental Health Research Consortium, Canada; Department of Environmental and Occupational Health, School of Public Health, University of Montreal, Montreal, QC H3C 3J7, Canada; Institut National de Santé Publique du Québec (INSPQ), Montréal, QC, Canada; Centre de Recherche en Santé Publique de l'Université de Montréal (CReSP), Montréal, QC, Canada. Electronic address:
The adverse effects of long-term exposure to environmental noise on human health are of increasing concern. Noise mapping methods such as spatial interpolation and land use regression cannot capture complex relationships between environmental conditions and noise propagation or attenuation in a three-dimension (3D) built environment. In this study, we developed a hybrid approach by combining a traffic propagation model and random forests (RF) machine learning algorithm to map the total environment noise levels for daily average, daytime, nighttime, and day-evening-nighttime at 30 m × 30 m resolution for the island of Montreal, Canada. Read More