摘要
随着城市化进程加速,噪声污染已成为影响居民生活质量的关键问题。以乐山市中心城区为例,结合宁静评价预测工具(tranquility rating prediction tool,TRAPT)模型与多源数据如物理噪声监测、兴趣点(point of interest,POI)分布、问卷调查等,探究城市空间规划对居住区声环境的影响机制。通过K-Means聚类算法、核密度分析与地理信息系统(geographic information system,GIS)可视化,构建了融合功能混合度、噪声投诉与居民感知的“宁静指数”评价体系。研究发现功能区混合度与噪声污染的核心驱动因子(p<0.05),绿地覆盖率增加可降低等效声级。问卷数据表明,75%居民支持安装噪声监测设备,但仅27%对管理措施满意。基于声景生态学理论,构建了“功能疏解–绿地赋能–动态反馈”优化策略,为城市声环境治理提供科学依据。
With accelerating urbanization,noise pollution has become a critical issue affecting residents'quality of life.This study takes Leshan Central Urban Area as a case study,integrating the TRAPT(Tranquility Rating Prediction Tool)model with multisource data(physical noise monitoring,POI distribution,and questionnaire surveys)to explore the impact mechanism of urban spatial planning on residential sound environments.Through K-means clustering,kernel density analysis,and GIS visualization,a"Tranquility Index"evaluation system is developed,incorporating functional mixing degree,noise complaints,and residents'perceptions.Key findings include:Functional mix and traffic density were identified as core drivers of noise pollution(p<0.05);An increase in green space coverage significantly reduces equivalent sound levels(Leq).Questionnaire data reveals 75%of residents support noise monitoring installations,yet only 27%are satisfied with current management measures.Based on these findings,an optimization strategy of"functional decentralization-green space empowerment-dynamic feedback"is proposed,providing scientific support for urban sound environment governance.
作者
彭琼
林勇军
凌彦群
陈燕
刘舟
周飞
Peng Qiong;Lin Yongjun;Ling Yanqun;Chen Yan;Liu Zhou;Zhou Fei(Leshan Ecological Environment Monitoring Center,Leshan,Sichuan 614000)
出处
《现代工程科技》
2025年第15期77-80,共4页
Modern Engineering Technology
基金
乐山市2023年科技计划项目(23SZD025)。
