城市交通和地铁轨道噪声的光谱表征和预测建模
Vijaya Laxmi1, Chimurkar Navinya1, Harish C Phuleria2
1Environmental Science & Engineering Department, Indian Institute of Technology Bombay, Powai, Mumbai, 400076, India.
Environmental monitoring and assessment
|January 26, 2026
概括
这项研究确定了城市地铁和交通噪音的独特声学特征. 地铁噪声的峰值在800赫兹,而交通噪声因喇和发动机声音而变化,使得更好的城市噪声管理成为可能.
科学领域:
- 环境科学 环境科学
- 声学 声学 在声学方面
- 城市规划 城市规划
背景情况:
- 城市化增加了集成运输系统 (如地铁和道路交通) 的噪音污染.
- 地铁站 (MS) 和交通边缘区域 (TCA) 的明显声学特征需要详细分析.
- 了解噪音源对于有效的城市噪音管理至关重要.
研究的目的:
- 统计分析和区分MSS和TCA的环境噪声.
- 为了确定地铁和交通噪声的独特光谱特征.
- 开发城市噪音动态的预测模型.
主要方法:
- 在MS和TCA进行环境噪声测量.
- 1/3-八度频段的光谱分析,以识别噪声特征.
- 多变量回归建模以根据交通参数预测噪声水平.
主要成果:
- 地铁运营增加了环境噪声1.5-4.4dB (A),频谱峰值在800Hz.
- 道路交通噪声 (Leq) 范围在75.4-82.0 dB (A) 之间,其中包括喇 (400-3150 Hz) 和空 (400-1600 Hz) 的峰值.
- 一个预测噪声模型实现了高精度 (调整后R2=0.81).
结论:
- 频率分辨噪声监测对于城市化地区至关重要.
- 地铁和交通噪音的明显的光谱足迹有助于识别高风险的声学区域.
- 基于证据的声学干预和预测建模增强了城市噪音管理,以实现可持续的声景.
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