将噪音控制站转化为音景资源监测网络:一个适应性的位置建议
Jingyi Wang1,2,3, Zhen Wang4, Chunming Li1,2
1State Key Laboratory of Regional and Urban Ecology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China.
Environmental science & technology
|September 30, 2025
概括
本研究提出了通过分析社会生态系统 (SES) 来监测城市音景的新方法. 它优化了监测地点的选择,以更好地代表各种声学条件,并促进声音景观资源管理.
科学领域:
- 城市生态城市生态学
- 环境监测 环境监测
- 声学生态学 声学生态学
背景情况:
- 城市环境监测往往忽视了音景数据,而是专注于噪音污染控制.
- 声音景观包含重要的健康和生物信息,对城市福祉至关重要.
- 现有的监测策略不能完全捕捉到城市声音环境的复杂性.
研究的目的:
- 为城市健全环境监测和治理制定一个整体的方法.
- 将社会生态系统 (SES) 的复杂性纳入声音景观监测站点选择中.
- 将重点从控制噪音转移到声音景观资源管理.
主要方法:
- 编制了27个变量,包括两个声音指标,以描述城市SES声条件.
- 定义了一个多重细分聚类覆盖范围得分指标,用于网站的代表性.
- 开发了一个使用代表性,成本,人口和敏感区域标准的位置优化算法.
主要成果:
- 拟议的方法提高了全球代表性39.5%,在一个案例城市中推了10个地点.
- 推的地点被评估为覆盖范围和水平.
- 许多最佳地点都位于城市绿地,表明丰富的自然声音景观.
结论:
- 该研究提出了一种优化城市声音景观监测地点选择的有效方法.
- 这些发现支持一种模式转变,即将声音景观作为有价值的资源进行管理.
- 整合SES复杂性可以提高环境监测的代表性和战略价值.
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