globalchange  > 科学计划与规划
DOI: 10.1002/2015GL063558
论文题名:
The seismic traffic footprint: Tracking trains, aircraft, and cars seismically
作者: Riahi N.; Gerstoft P.
刊名: Geophysical Research Letters
ISSN: 0094-8716
EISSN: 1944-8447
出版年: 2015
卷: 42, 期:8
起始页码: 2674
结束页码: 2681
语种: 英语
英文关键词: seismic noise ; sensor network ; spatiotemporal ; traffic
Scopus关键词: Beaches ; Sensor networks ; Telecommunication traffic ; California , USA ; Naturally occurring ; Seismic noise ; Spatio-temporal structures ; Spatiotemporal ; Traffic monitoring ; Traffic movements ; Urban vibrations ; Seismology ; acceleration ; seismic noise ; seismic wave ; sensor ; urban region ; vibration ; California ; Long Beach [California] ; United States
英文摘要: Although naturally occurring vibrations have proven useful to probe the subsurface, the vibrations caused by traffic have not been explored much. Such data, however, are less sensitive to weather and low visibility compared to some common out-of-road traffic sensing systems. We study traffic-generated seismic noise measured by an array of 5200 geophones that covered a 7 × 10 km area in Long Beach (California, USA) with a receiver spacing of 100 m. This allows us to look into urban vibrations below the resolution of a typical city block. The spatiotemporal structure of the anthropogenic seismic noise intensity reveals the Blue Line Metro train activity, departing and landing aircraft in Long Beach Airport and their acceleration, and gives clues about traffic movement along the I-405 highway at night. As low-cost, stand-alone seismic sensors are becoming more common, these findings indicate that seismic data may be useful for traffic monitoring. ©2015. American Geophysical Union. All Rights Reserved.
URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84929514390&doi=10.1002%2f2015GL063558&partnerID=40&md5=60a080a5e0967b5bfd750921a75fe3c9
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/8332
Appears in Collections:科学计划与规划
气候变化与战略

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作者单位: Scripps Institution of Oceanography, University of California, San Diego, San Diego, CA, United States

Recommended Citation:
Riahi N.,Gerstoft P.. The seismic traffic footprint: Tracking trains, aircraft, and cars seismically[J]. Geophysical Research Letters,2015-01-01,42(8).
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