文章基本信息
- 标题：Estimation of Spatial Variations in Urban Noise Levels with a Land Use Regression Model
- 本地全文：下载
- 作者：Sophie Goudreau ; Céline Plante ; Michel Fournier 等
- 期刊名称：Environment and Pollution
- 印刷版ISSN：1927-0909
- 电子版ISSN：1927-0917
- 出版年度：2014
- 卷号：3
- 期号：4
- 页码：48
- DOI：10.5539/ep.v3n4p48
- 出版社：Canadian Center of Science and Education
- 摘要：
Background: Outdoor noise is a source of annoyance and health problems in cities worldwide. Objective: We developed a land-use regression using a GAM Model to estimate the spatial variation of noise levels in Montreal.
Methods: Noise levels were measured over a two week period during the summer of 2010 at 87 sites and during the winter of 2011 at 62 sites. A land use regression model was produced for both seasons to estimate noise levels as LAeq24h (resolution of 20 m). A leave one out cross-validation (LOOCV) was performed.
Results: LAeq24h measured range from 53.4 to 73.7 dBA for the summer and from 54.1 to 77.7 dBA for the winter. The land use regression models explained 64 % of spatial variability for the summer and 40 % for the winter. The main predictors are the Normalized Difference Vegetation Index; the length of vehicular arteries, highways, and bus lines; and the proximity to an international airport. The Root mean square error ??from the LOOCV was 3.3 and 4.5 dBA for the summer and the winter respectively.
Conclusion: The model explained a large part of the variability in noise levels and the RMSE remain relatively important on the noise levels scale.
