Suppr超能文献

分析夜间噪声分层。

Analyzing nocturnal noise stratification.

机构信息

Acoustic Laboratory, Department of Applied Physics, Polytechnic School, University of Extremadura, Avda. de la Universidad s/n, 10003 Cáceres, Spain; Universidad Autónoma de Chile, 5 Poniente 1670, 3460000 Talca, Chile.

Acoustic Laboratory, Department of Applied Physics, Polytechnic School, University of Extremadura, Avda. de la Universidad s/n, 10003 Cáceres, Spain.

出版信息

Sci Total Environ. 2014 May 1;479-480:39-47. doi: 10.1016/j.scitotenv.2014.01.130. Epub 2014 Feb 15.

Abstract

Pollution associated to traffic can be considered as one of the most relevant pollution sources in our cities; noise is one of the major components of traffic pollution; thus, efforts are necessary to search adequate noise assessment methods and low pollution city designs. Different methods have been proposed for the evaluation of noise in cities, including the categorization method, which is based on the functionality concept. Until now, this method has only been studied (with encouraging results) for short-term, diurnal measurements, but nocturnal noise presents a behavior clearly different on respect to the diurnal one. In this work 45 continuous measurements of approximately one week each in duration are statistically analyzed to identify differences between the proposed categories. The results show that the five proposed categories highlight the noise stratification of the studied city in each period of the day (day, evening, and night). A comparison of the continuous measurements with previous short-term measurements indicates that the latter can be a good approximation of the former in diurnal period, reducing the resource expenditure for noise evaluation. Annoyance estimated from the measured noise levels was compared with the response of population obtained from a questionnaire with good agreement. The categorization method can yield good information about the distribution of a pollutant associated to traffic in our cities in each period of the day and, therefore, is a powerful tool for town planning and the design of pollution prevention policies.

摘要

交通相关的污染可以被认为是城市中最重要的污染源之一;噪声是交通污染的主要组成部分之一;因此,有必要寻找合适的噪声评估方法和低污染的城市设计。已经提出了许多用于评估城市噪声的方法,包括基于功能概念的分类方法。到目前为止,这种方法仅在短期、日间测量方面进行了研究(结果令人鼓舞),但夜间噪声的行为明显不同于日间噪声。在这项工作中,对大约持续一周的 45 次连续测量进行了统计分析,以确定所提出的类别之间的差异。结果表明,所提出的五个类别突出了所研究城市在白天(白天、傍晚和夜间)不同时间段的噪声分层。将连续测量与以前的短期测量进行比较表明,后者在日间可以很好地近似前者,从而减少噪声评估的资源支出。通过比较从测量噪声水平中估计的烦恼程度与从调查问卷中获得的人群反应,发现两者之间具有很好的一致性。分类方法可以为我们城市中与交通相关的污染物在一天中的每个时间段的分布提供很好的信息,因此,它是城市规划和污染防治政策设计的有力工具。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验