Noise Footprint of Electric Aviation at Regional Airports: A Case Study of VNY

Aboli Datey, Bryan Kao, Renee Francisco, Megan Moradpour, Robin Kim, Nadav Bronicki, J. Rakas
{"title":"Noise Footprint of Electric Aviation at Regional Airports: A Case Study of VNY","authors":"Aboli Datey, Bryan Kao, Renee Francisco, Megan Moradpour, Robin Kim, Nadav Bronicki, J. Rakas","doi":"10.1109/ICNS58246.2023.10124303","DOIUrl":null,"url":null,"abstract":"Following an increased interest in aviation decarbonization, electric aircraft - including conventional fixed-wing and electric Vertical Take-Off & Landing aircraft (eVTOLs) - are approaching certification. While several studies and eVTOL manufacturers claim noise pollution reduction near airports to be a significant benefit of replacing existing aircraft with electric aircraft, there is little research quantifying this suggested benefit. This study develops a method for quantifying noise footprint benefits of electric aviation at regional airports. The method is applied to Van Nuys airport (VNY) in the Los Angeles Basin by simulating noise levels in a 7-mile radius around the airport and measuring the difference in total area affected by high noise levels (> 55dB as set by the FAA) for three scenarios: the base case, 20% electric aircraft, and 50% electric aircraft. The proposed method can be applied to other regional airports to compute their noise footprint. Understanding the noise footprint of airport operations is critical for land use zoning of the surrounding area and hence, sustainable development of community infrastructure and regional air mobility. Such noise simulations can also be used to guide the development of novel methods of urban and regional air mobility. In both the 20% and 50% electrification scenarios, the VNY noise analysis results show the following: (a) the number of highly annoyed individuals decreased by 7.42% and 14.91% respectively; (b) the areas with high Day-Night Level (DNL) are reduced; (c) the percentage of noise reduction is larger in areas with high base case DNL above 65 dB; and (d) the presence of a large disparity in DNL between Disadvantaged Communities (DACs) and non-DACs in five neighborhoods.","PeriodicalId":103699,"journal":{"name":"2023 Integrated Communication, Navigation and Surveillance Conference (ICNS)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 Integrated Communication, Navigation and Surveillance Conference (ICNS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNS58246.2023.10124303","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Following an increased interest in aviation decarbonization, electric aircraft - including conventional fixed-wing and electric Vertical Take-Off & Landing aircraft (eVTOLs) - are approaching certification. While several studies and eVTOL manufacturers claim noise pollution reduction near airports to be a significant benefit of replacing existing aircraft with electric aircraft, there is little research quantifying this suggested benefit. This study develops a method for quantifying noise footprint benefits of electric aviation at regional airports. The method is applied to Van Nuys airport (VNY) in the Los Angeles Basin by simulating noise levels in a 7-mile radius around the airport and measuring the difference in total area affected by high noise levels (> 55dB as set by the FAA) for three scenarios: the base case, 20% electric aircraft, and 50% electric aircraft. The proposed method can be applied to other regional airports to compute their noise footprint. Understanding the noise footprint of airport operations is critical for land use zoning of the surrounding area and hence, sustainable development of community infrastructure and regional air mobility. Such noise simulations can also be used to guide the development of novel methods of urban and regional air mobility. In both the 20% and 50% electrification scenarios, the VNY noise analysis results show the following: (a) the number of highly annoyed individuals decreased by 7.42% and 14.91% respectively; (b) the areas with high Day-Night Level (DNL) are reduced; (c) the percentage of noise reduction is larger in areas with high base case DNL above 65 dB; and (d) the presence of a large disparity in DNL between Disadvantaged Communities (DACs) and non-DACs in five neighborhoods.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
区域机场电动航空噪声足迹研究——以纽约机场为例
随着人们对航空脱碳的兴趣日益浓厚,电动飞机——包括传统的固定翼飞机和电动垂直起降飞机(evtol)——即将获得认证。虽然一些研究和eVTOL制造商声称,用电动飞机取代现有飞机可以减少机场附近的噪音污染,但很少有研究量化这一建议的好处。本研究提出一种量化区域性机场电动航空噪音足迹效益的方法。该方法应用于洛杉矶盆地的Van Nuys机场(VNY),通过模拟机场周围7英里半径范围内的噪音水平,并测量三种情况下受高噪音水平(FAA规定> 55dB)影响的总面积的差异:基本情况、20%电动飞机和50%电动飞机。该方法可应用于其他区域机场的噪声足迹计算。了解机场运行的噪音足迹对周边地区的土地使用分区至关重要,因此对社区基础设施的可持续发展和区域空中交通至关重要。这样的噪声模拟也可以用来指导城市和区域空中交通的新方法的发展。在20%和50%电气化情景下,VNY噪声分析结果表明:(a)高度恼人的个体数量分别下降了7.42%和14.91%;(b)日间及夜间高度高的地区减少;(c)在基准基准声级高于65分贝的地区,降噪百分比较大;(d)五个社区的弱势社区(DACs)与非弱势社区之间的DNL存在巨大差异。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Tracking Performance Analysis of Ground-Based Radar Networks for Urban Air Mobility Noise Measurements of Unmanned Aircraft Vehicles: Experiences, Challenges and Recommendations for Standards taken from Flight Trials BB-Planner: an urban traffic dataset generation tool Conceptual Analysis of Allocation Strategies for Air Traffic Control Concepts without Conventional Sector Boundaries Flight Testing Drone Contingencies during Runway Inspection in U-space Shared Airspace
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1