ZhaoPrieurLiuEtAl2021

Référence

Zhao, N., Prieur, J.-F., Liu, Y., Kneeshaw, D.D., Morasse Lapointe, E., Paquette, A., Zinszer, K., Dupras, J., Villeneuve, P. J., Rainham, D. G., Lavigne, E., Chen, H., van den Bosch, M., Oiamo, T., Smargiassi, A. (2021) Tree characteristics and environmental noise in complex urban settings – A case study from Montreal, Canada. Environmental Research, 202:111887. (URL )

Résumé

Field studies have shown that dense tree canopies and regular tree arrangements reduce noise from a point source. In urban areas, noise sources are multiple and tree arrangements are rarely dense. There is a lack of data on the association between the urban tree canopy characteristics and noise in complex urban settings. Our aim was to investigate the spatial variation of urban tree canopy characteristics, indices of vegetation abundance, and environmental noise levels. Using Light Detection and Ranging point cloud data for 2015, we extracted the characteristics of 1,272,069 public and private trees across the island of Montreal, Canada. We distinguished needle-leaf from broadleaf trees, and calculated the percentage of broadleaf trees, the total area of the crown footprint, the mean crown centroid height, and the mean volume of crowns of trees that were located within 100m, 250m, 500m, and 1000m buffers around 87 in situ noise measurement sites. A random forest model incorporating tree characteristics, the normalized difference vegetation index (NDVI) values, and the distances to major urban noise sources (highways, railways and roads) was employed to estimate variation in noise among measurement locations. We found decreasing trends in noise levels with increases in total area of the crown footprint and mean crown centroid height. The percentages of increased mean squared error of the regression models indicated that in 500m buffers the total area of the crown footprint (29.2%) and the mean crown centroid height (12.6%) had a stronger influence than NDVI (3.2%) in modeling noise levels; similar patterns of influence were observed using other buffers. Our findings suggest that municipal initiatives designed to reduce urban noise should account for tree features, and not just the number of trees or the overall amount of vegetation.

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@ARTICLE { ZhaoPrieurLiuEtAl2021,
    AUTHOR = { Zhao, N. and Prieur, J.-F. and Liu, Y. and Kneeshaw, D.D. and Morasse Lapointe, E. and Paquette, A. and Zinszer, K. and Dupras, J. and Villeneuve, P. J. and Rainham, D. G. and Lavigne, E. and Chen, H. and van den Bosch, M. and Oiamo, T. and Smargiassi, A. },
    JOURNAL = { Environmental Research },
    TITLE = { Tree characteristics and environmental noise in complex urban settings – A case study from Montreal, Canada },
    YEAR = { 2021 },
    ISSN = { 0013-9351 },
    PAGES = { 111887 },
    VOLUME = { 202 },
    ABSTRACT = { Field studies have shown that dense tree canopies and regular tree arrangements reduce noise from a point source. In urban areas, noise sources are multiple and tree arrangements are rarely dense. There is a lack of data on the association between the urban tree canopy characteristics and noise in complex urban settings. Our aim was to investigate the spatial variation of urban tree canopy characteristics, indices of vegetation abundance, and environmental noise levels. Using Light Detection and Ranging point cloud data for 2015, we extracted the characteristics of 1,272,069 public and private trees across the island of Montreal, Canada. We distinguished needle-leaf from broadleaf trees, and calculated the percentage of broadleaf trees, the total area of the crown footprint, the mean crown centroid height, and the mean volume of crowns of trees that were located within 100m, 250m, 500m, and 1000m buffers around 87 in situ noise measurement sites. A random forest model incorporating tree characteristics, the normalized difference vegetation index (NDVI) values, and the distances to major urban noise sources (highways, railways and roads) was employed to estimate variation in noise among measurement locations. We found decreasing trends in noise levels with increases in total area of the crown footprint and mean crown centroid height. The percentages of increased mean squared error of the regression models indicated that in 500m buffers the total area of the crown footprint (29.2%) and the mean crown centroid height (12.6%) had a stronger influence than NDVI (3.2%) in modeling noise levels; similar patterns of influence were observed using other buffers. Our findings suggest that municipal initiatives designed to reduce urban noise should account for tree features, and not just the number of trees or the overall amount of vegetation. },
    DOI = { https://doi.org/10.1016/j.envres.2021.111887 },
    KEYWORDS = { Urban sounds, Urban trees, Light detection and ranging (LiDAR), Random forest, Normalized difference vegetation index (NDVI), Green space },
    OWNER = { Daniel Lesieur },
    TIMESTAMP = { 2021-08-31 },
    URL = { https://www.sciencedirect.com/science/article/pii/S0013935121011828 },
}

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