• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

描述城市公园环境中的环境背景噪声。

Characterizing Ambient Seismic Noise in an Urban Park Environment.

机构信息

Department of Geological Sciences and Geological Engineering, Queen's University, Kingston, ON K7L 3N6, Canada.

出版信息

Sensors (Basel). 2023 Feb 22;23(5):2446. doi: 10.3390/s23052446.

DOI:10.3390/s23052446
PMID:36904649
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10007610/
Abstract

In this study, a method for characterizing ambient seismic noise in an urban park using a pair of Tromino3G+ seismographs simultaneously recording high-gain velocity along two axes (north-south and east-west) is presented. The motivation for this study is to provide design parameters for seismic surveys conducted at a site prior to the installation of long-term permanent seismographs. Ambient seismic noise refers to the coherent component of the measured signal that comes from uncontrolled, or passive sources (natural and anthropogenic). Applications of interest include geotechnical studies, modeling the seismic response of infrastructure, surface monitoring, noise mitigation, and urban activity monitoring, which may exploit the use of well-distributed seismograph stations within an area of interest, recording on a days-to-years scale. An ideal well-distributed array of seismographs may not be feasible for all sites and therefore, it is important to identify means for characterizing the ambient seismic noise in urban environments and limitations imposed with a reduced spatial distribution of stations, herein two stations. The developed workflow involves a continuous wavelet transform, peak detection, and event characterization. Events are classified by amplitude, frequency, occurrence time, source azimuth relative to the seismograph, duration, and bandwidth. Depending on the applications, results can guide seismograph selection (sampling frequency and sensitivity) and seismograph placement within the area of interest.

摘要

本研究提出了一种使用一对 Tromino3G+地震仪同时记录两个轴(南北和东西)高增益速度的方法,用于对城市公园中的环境地震噪声进行特征描述。本研究的动机是为在安装长期永久地震仪之前在现场进行的地震测量提供设计参数。环境地震噪声是指来自不受控制或被动源(自然和人为)的测量信号的相干分量。感兴趣的应用包括岩土工程研究、基础设施地震响应建模、表面监测、噪声减轻和城市活动监测,这些应用可能会利用在感兴趣区域内分布良好的地震仪站进行记录,记录时间范围为几天到数年。对于所有地点来说,理想的分布均匀的地震仪阵列可能并不可行,因此,重要的是要确定在城市环境中对环境地震噪声进行特征描述的方法,以及由于站点空间分布减少而带来的限制,在此处为两个站点。开发的工作流程涉及连续小波变换、峰值检测和事件特征描述。事件根据振幅、频率、发生时间、相对于地震仪的震源方位、持续时间和带宽进行分类。根据应用的不同,结果可以指导地震仪的选择(采样频率和灵敏度)以及感兴趣区域内地震仪的放置。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0d3/10007610/92561da5f236/sensors-23-02446-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0d3/10007610/e6bb49b0f424/sensors-23-02446-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0d3/10007610/b40b27493d52/sensors-23-02446-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0d3/10007610/d330d1a2096a/sensors-23-02446-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0d3/10007610/ec7e5902ac3d/sensors-23-02446-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0d3/10007610/021507838e59/sensors-23-02446-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0d3/10007610/f605b4922d64/sensors-23-02446-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0d3/10007610/b11458d51acb/sensors-23-02446-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0d3/10007610/b10c7cffbe8e/sensors-23-02446-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0d3/10007610/64fc30f0467a/sensors-23-02446-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0d3/10007610/719ec3dab87a/sensors-23-02446-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0d3/10007610/04daa20779cd/sensors-23-02446-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0d3/10007610/dd378bdf45bf/sensors-23-02446-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0d3/10007610/92561da5f236/sensors-23-02446-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0d3/10007610/e6bb49b0f424/sensors-23-02446-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0d3/10007610/b40b27493d52/sensors-23-02446-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0d3/10007610/d330d1a2096a/sensors-23-02446-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0d3/10007610/ec7e5902ac3d/sensors-23-02446-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0d3/10007610/021507838e59/sensors-23-02446-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0d3/10007610/f605b4922d64/sensors-23-02446-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0d3/10007610/b11458d51acb/sensors-23-02446-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0d3/10007610/b10c7cffbe8e/sensors-23-02446-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0d3/10007610/64fc30f0467a/sensors-23-02446-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0d3/10007610/719ec3dab87a/sensors-23-02446-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0d3/10007610/04daa20779cd/sensors-23-02446-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0d3/10007610/dd378bdf45bf/sensors-23-02446-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0d3/10007610/92561da5f236/sensors-23-02446-g013.jpg

相似文献

1
Characterizing Ambient Seismic Noise in an Urban Park Environment.描述城市公园环境中的环境背景噪声。
Sensors (Basel). 2023 Feb 22;23(5):2446. doi: 10.3390/s23052446.
2
Fleet's Geode: A Breakthrough Sensor for Real-Time Ambient Seismic Noise Tomography over DtS-IoT.Fleet's Geode:适用于 DtS-IoT 的实时环境地震噪声层析成像的突破性传感器。
Sensors (Basel). 2022 Nov 1;22(21):8372. doi: 10.3390/s22218372.
3
Effect of coronavirus lockdowns on the ambient seismic noise levels in Gujarat, northwest India.冠状病毒封锁对印度西北部古吉拉特邦环境地震噪声水平的影响。
Sci Rep. 2021 Mar 30;11(1):7148. doi: 10.1038/s41598-021-86557-9.
4
Quantifying Urban Activities Using Nodal Seismometers in a Heterogeneous Urban Space.利用异构城市空间中的节点地震仪定量城市活动。
Sensors (Basel). 2023 Jan 24;23(3):1322. doi: 10.3390/s23031322.
5
Seismic data of a rockslide: Evaluation of noise levels, site effects, frequency content and identification of seismic phases.岩石滑坡的地震数据:噪声水平评估、场地效应、频率成分及地震相识别
Data Brief. 2020 Feb 7;29:105250. doi: 10.1016/j.dib.2020.105250. eCollection 2020 Apr.
6
A western gray whale mitigation and monitoring program for a 3-D seismic survey, Sakhalin Island, Russia.俄罗斯萨哈林岛一项针对三维地震勘探的西太平洋灰鲸缓解与监测计划。
Environ Monit Assess. 2007 Nov;134(1-3):1-19. doi: 10.1007/s10661-007-9813-0. Epub 2007 Jul 27.
7
GFZ wireless seismic array (GFZ-WISE), a wireless mesh network of seismic sensors: new perspectives for seismic noise array investigations and site monitoring.GFZ 无线地震台阵(GFZ-WISE),一个地震传感器的无线网状网络:地震噪声台阵研究和场地监测的新视角。
Sensors (Basel). 2010;10(4):3280-304. doi: 10.3390/s100403280. Epub 2010 Apr 1.
8
Sensing Shallow Structure and Traffic Noise with Fiber-optic Internet Cables in an Urban Area.在城市地区利用光纤互联网电缆感知浅层结构和交通噪音。
Surv Geophys. 2021;42(6):1401-1423. doi: 10.1007/s10712-021-09678-w. Epub 2021 Nov 19.
9
Seismic Monitoring of a Deep Geothermal Field in Munich (Germany) Using Borehole Distributed Acoustic Sensing.利用钻孔分布式声学传感技术对德国慕尼黑一个深层地热田进行地震监测
Sensors (Basel). 2024 May 11;24(10):3061. doi: 10.3390/s24103061.
10
Investigation of the stable and unstable states of seismographs using poles and zeros pattern.利用极点和零点模式研究地震仪的稳定和不稳定状态。
Heliyon. 2018 Sep 29;4(9):e00823. doi: 10.1016/j.heliyon.2018.e00823. eCollection 2018 Sep.

引用本文的文献

1
SEISMONOISY: A Quasi-Real-Time Seismic Noise Network Monitoring System.地震监测:一种准实时地震噪声网络监测系统。
Sensors (Basel). 2024 May 28;24(11):3474. doi: 10.3390/s24113474.
2
Frequency Seismic Response for EEWS Testing on Uniaxial Shaking Table.用于地震早期预警系统(EEWS)单轴振动台测试的频率地震响应
Entropy (Basel). 2023 Apr 14;25(4):655. doi: 10.3390/e25040655.

本文引用的文献

1
City-Scale Dark Fiber DAS Measurements of Infrastructure Use During the COVID-19 Pandemic.新冠疫情期间城市规模的基础设施使用情况的暗光纤分布式声学传感测量
Geophys Res Lett. 2020 Aug 28;47(16):e2020GL089931. doi: 10.1029/2020GL089931. Epub 2020 Aug 17.
2
Global quieting of high-frequency seismic noise due to COVID-19 pandemic lockdown measures.由于 COVID-19 大流行封锁措施,高频地震噪声全球安静下来。
Science. 2020 Sep 11;369(6509):1338-1343. doi: 10.1126/science.abd2438. Epub 2020 Jul 23.
3
Train Traffic as a Powerful Noise Source for Monitoring Active Faults With Seismic Interferometry.
将铁路交通作为利用地震干涉测量法监测活动断层的强大噪声源。
Geophys Res Lett. 2019 Aug 28;46(16):9529-9536. doi: 10.1029/2019GL083438. Epub 2019 Aug 26.
4
Urban Seismology: on the origin of earth vibrations within a city.城市地震学:关于城市内部地面振动的起源
Sci Rep. 2017 Nov 10;7(1):15296. doi: 10.1038/s41598-017-15499-y.
5
Dual roadside seismic sensor for moving road vehicle detection and characterization.用于移动道路车辆检测和特征描述的双通道路边地震传感器。
Sensors (Basel). 2014 Feb 12;14(2):2892-910. doi: 10.3390/s140202892.