Measurement and Evaluation of Sound Intensity at The Medan Railway Station Using a Sound Level Meter

Author:

Indrayani ,Asfiati Sri,Riky Milza Ndruru,Rajagukguk Juniastel

Abstract

Abstract Trains are means of transportation that are used by people to avoid traffic congestion. However, train stations are also most frequently exposed to noise. This is due to the sound intensity of the operational activities in the location. Passengers and station officers are environmental components exposed to noise. In this study, the value of sound intensity level at the railway station of Medan city is measured using Sound Level Meter. This measurement was carried out for six days. The highest sound intensity level for the train departures is 96,67 dB and for the train arrival is 96,66 dB. Meanwhile, the lowest sound intensity level of train departures is 81,41 dB and the arrival of trains is 83,75 dB. It was found that the high level of sound intensity is sourced from the friction of the wheels with the rail surface, notification speakers and train horns. The results of this study can be used to find the most appropriate solution to reduce the noise level in the railway station area.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference12 articles.

1. Effects of road traffic noise on health: from Burden of Disease to effectiveness of interventions;Brown,2015

2. A study on noise pollution in mumbai, india and its adverse impact on human health;Muralidharan,2018

3. The use of sound level meter apps in the clinical setting;Fava,2016

4. Sound absorption performance of natural fibers and their composites;Weidong,2012

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3