通过可解释的时空图形卷积网络检查环境暴露对噪声感知的复杂和累积影响
Liuyi Song1, Mei-Po Kwan2, Yang Liu2
1Institute of Space and Earth Information Science, Fok Ying Tung Remote Sensing Science Building, The Chinese University of Hong Kong, Hong Kong Special Administrative Region.
Environment international
|August 26, 2025
概括
这项研究表明,短期噪音暴露对城市环境的感知有重大影响. 10分钟的曝光时间是检测噪音的关键,而15分钟的曝光时间则预测噪音,强调人与环境的复杂互动.
科学领域:
- 环境科学
- 城市规划
- 人类的感知
背景情况:
- 城市人口正在增长, 人与环境的互动也在增加.
- 传统的研究往往忽视了对感知的累积环境影响.
- 噪音暴露是理解城市环境感知的一个关键因素.
研究的目的:
- 使用噪音作为案例研究来模拟人类对城市环境的感知.
- 开发一个可解释的时空图卷积网络 (ST-GCN) 环境感知框架.
- 确定噪声感知和干扰的临界暴露值.
主要方法:
- 使用可解释的时空图卷积网络 (ST-GCN) 框架.
- 基于各种环境因素的噪音感知和烦.
- 分析了环境暴露的时空动态.
主要成果:
- ST-GCN模型在预测噪声感知方面表现出卓越的表现.
- 为了检测环境噪声,确定了10分钟的暴露值.
- 为了预测噪音烦,确定了15分钟的暴露值.
- 空气质量和声压水平对感知有协同作用.
- 绿色空间减轻了人们的看法,而建筑则发挥了双重作用.
结论:
- 环境噪声的感知和干扰是复杂的,由多个因素影响的动态过程.
- 这些发现为城市环境管理和居民福祉提供了理论见解.
- ST-GCN框架提供了一个新的环境感知建模方法.
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