印度中型城市中区块部分的异质道路交通噪声建模
Ashish Kumar Chouksey1, Brind Kumar1, Manoranjan Parida2
1Department of Civil Engineering, Indian Institute of Technology (Banaras Hindu University), Varanasi, Uttar Pradesh, 221005, India.
Environmental monitoring and assessment
|October 20, 2023
概括
一个新的软件工具,异质交通的交通噪音预测计算器 (TNPC-H),准确地监测城市交通噪音. 它使用K-近邻和主要组件分析进行可靠的预测,帮助工程师和规划人员.
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:
- 交通噪音污染是城市地区的重大环境问题,特别是在印度中型城市.
- 不同质的交通条件为准确的噪音水平评估带来了独特的挑战.
- 现有的交通噪声监测方法可能缺乏有效城市规划所需的精度.
研究的目的:
- 开发一种基于计算机的软件,用于在异质的交通条件下监测交通噪声.
- 创建一个用户友好的工具,用于预测不同交通时期 (上午高峰,下峰,晚上高峰) 的噪音水平.
- 为参与城市噪音管理的现场工程师和政策规划者提供可靠的解决方案.
主要方法:
- 从印度戈拉克普尔市的23个地点收集了776个交通噪声测量数据集 (LAeq,1小时).
- 采用K-最近邻居 (K-NN) 算法用于交通噪音预测建模.
- 利用主要组件分析 (PCA) 来减少维度,并解决多对线性问题.
主要成果:
- 开发的模型实现了高的R平方值:0.81 (MP),0.78 (OP) 和0.77 (EP) 的Leq.
- 该模型显示了L10的强性能,R平方值为0.86 (MP),0.80 (OP) 和0.84 (EP).
- 预测模型准确估计了超过94%的观测在±3%的范围内.
结论:
- 一个新的软件,TNPC-H,已经成功地开发出来,用于预测异质条件下的交通噪声.
- 基于K-NN和PCA的模型为交通噪音评估提供了强大而准确的方法.
- TNPC-H计算器是城市环境管理和政策制定的一个有价值的工具.
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