Plants and Their Noise Absorption: Identifying most suitable plants to reduce noise via Impedance Tube Data Analysis

Jamaludin S M, H. W, M. R, Mohamad Z, Mohd Kamal N L, Lim A Y K
{"title":"Plants and Their Noise Absorption: Identifying most suitable plants to reduce noise via Impedance Tube Data Analysis","authors":"Jamaludin S M, H. W, M. R, Mohamad Z, Mohd Kamal N L, Lim A Y K","doi":"10.1109/AiDAS53897.2021.9574254","DOIUrl":null,"url":null,"abstract":"Urban areas are always exposed to various noises, especially from vehicles and industrial activities. Plants on the other hand, can act as a medium that can absorb sound. To prove this, a number of plant species have been selected to measure the value of sound absorption based on the thickness, surface area, width and length of the leaves. Plant noise measurements were performed using built-in impedance tubes to identify the effectiveness of the acoustic properties of the leaves. From this study, a leaf such as Pometia Pinnata which has thicker leaves, larger surface area, width as well as longer leaf length than other leaves shows the ability to absorb more sound. Sound absorption measurements for 100% and 50% leaf quantities for Pometia Pinnata were obtained at 4.9 dBA and 4.8 dBA, respectively, which are considered to approach the expected noise attenuation levels reported at 5 - 10 dBA. The motivation from our measurement findings, can help to identify which plants are most suitable for reducing noise based on their characteristics. These measurement results are very important in the soon-to-be-developed intuitive plant tool.","PeriodicalId":152187,"journal":{"name":"2021 2nd International Conference on Artificial Intelligence and Data Sciences (AiDAS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 2nd International Conference on Artificial Intelligence and Data Sciences (AiDAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AiDAS53897.2021.9574254","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Urban areas are always exposed to various noises, especially from vehicles and industrial activities. Plants on the other hand, can act as a medium that can absorb sound. To prove this, a number of plant species have been selected to measure the value of sound absorption based on the thickness, surface area, width and length of the leaves. Plant noise measurements were performed using built-in impedance tubes to identify the effectiveness of the acoustic properties of the leaves. From this study, a leaf such as Pometia Pinnata which has thicker leaves, larger surface area, width as well as longer leaf length than other leaves shows the ability to absorb more sound. Sound absorption measurements for 100% and 50% leaf quantities for Pometia Pinnata were obtained at 4.9 dBA and 4.8 dBA, respectively, which are considered to approach the expected noise attenuation levels reported at 5 - 10 dBA. The motivation from our measurement findings, can help to identify which plants are most suitable for reducing noise based on their characteristics. These measurement results are very important in the soon-to-be-developed intuitive plant tool.
植物及其噪声吸收:通过阻抗管数据分析确定最适合的植物来降低噪声
城市地区经常受到各种噪音的影响,尤其是来自车辆和工业活动的噪音。另一方面,植物可以作为吸收声音的媒介。为了证明这一点,我们选择了一些植物物种,根据叶子的厚度、表面积、宽度和长度来测量吸声值。植物噪声测量使用内置阻抗管进行,以确定叶片声学特性的有效性。从这项研究中可以看出,像柚子这样的叶子比其他叶子更厚、表面积更大、宽度更宽、叶子长度更长的叶子,能够吸收更多的声音。在4.9 dBA和4.8 dBA的条件下,获得了100%和50%叶量的柚子的吸声测量值,这被认为接近5 - 10 dBA的预期噪声衰减水平。从我们的测量结果的动机,可以帮助确定哪些植物是最适合减少噪音的基础上,他们的特点。这些测量结果在即将开发的直观植物工具中非常重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书