Statistical modeling of the spatial variability of environmental noise levels in Montreal, Canada, using noise measurements and land use characteristics
Statistical modeling of the spatial variability of environmental noise levels in Montreal, Canada, using noise measurements and land use characteristics
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DOI：
10.1038/jes.2015.82
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发表时间：
2016-11-01
影响因子：
4.5
通讯作者：
Smargiassi, Audrey
中科院分区：
文献类型：
--
作者：
Ragettli, Martina S.;Goudreau, Sophie;Smargiassi, Audrey
评估噪声暴露的噪声地图的可用性通常是有限的，特别是在北美城市。我们开发了土地利用回归（LUR）模型LA（eq 24 h），L-night和L-den，以评估加拿大蒙特利尔环境噪声水平的长期空间变异性，同时考虑各种交通噪声源（公路，铁路和航空）。为了探索采样持续时间的影响，我们比较了我们的LA（eq 24 h）水平，该水平是在至少五个完整的连续测量日内计算的，采样时间较短（20分钟和24小时）。LUR模型建立了一般加性模型，使用连续2分钟的噪声测量从204个站点。LA（eq 24 h）、L-night和L-den的模型性能（校正R-2）分别为0.68、0.59和0.69。测量的噪声水平的主要预测因素是道路交通和植被变量。20分钟非高峰时间测量值与道路交通站点5天内计算的LA（eq 24 h）水平吻合良好（偏差：-0.7 dB（A）），但在铁路（-2.1 dB（A））和空中（-2.2 dB（A））站点均不吻合。我们的研究提供了重要的见解，在加拿大城市的环境噪声水平的空间变化。为了评估长期噪声水平，采样策略应按噪声源分层，最好应包括在暴露于铁路和飞机噪声的位置进行为期1周的测量。
The availability of noise maps to assess exposure to noise is often limited, especially in North American cities. We developed land use regression (LUR) models for LA(eq24h), L-night, and L-den to assess the long-term spatial variability of environmental noise levels in Montreal, Canada, considering various transportation noise sources (road, rail, and air). To explore the effects of sampling duration, we compared our LA(eq24h) levels that were computed over at least five complete contiguous days of measurements to shorter sampling periods (20 min and 24 h). LUR models were built with General Additive Models using continuous 2-min noise measurements from 204 sites. Model performance (adjusted R-2) was 0.68, 0.59, and 0.69 for LA(eq24h), L-night, and L-den, respectively. Main predictors of measured noise levels were road-traffic and vegetation variables. Twenty-minute non-rush hour measurements corresponded well with LA(eq24h) levels computed over 5 days at road-traffic sites (bias:- 0.7 dB(A)), but not at rail (-2.1 dB(A)) nor at air (-2.2 dB(A)) sites. Our study provides important insights into the spatial variation of environmental noise levels in a Canadian city. To assess long-term noise levels, sampling strategies should be stratified by noise sources and preferably should include 1 week of measurements at locations exposed to rail and aircraft noise.