Abstract:Measurements at a location close to the San Francisco Bay Area Rapid Transit (Bart) systemshow that Bart can produce ultra low frequency (ULF; frequencies less than 5 Hz) magnetic field fluctuations with amplitudes that are 2-3 orders of magnitude greater than the normal background level. The maximum increase in magnetic field fluctuations over the ambient background level occurs in the range 0.01-1 Hz, but significant increases occur at 0.001 and 10 Hz. Although it is generally accepted that moving trains cau… Show more
“…Urban railway system could induce ELF waves in the range 0.01-5 Hz (Ho et al, 1979). The power line of the world's power grid is the source of ELF/VLF waves in the ionosphere/magnetosphere.…”
Section: Man-made Influences On the Ionosphere And Magnetospherementioning
“…Urban railway system could induce ELF waves in the range 0.01-5 Hz (Ho et al, 1979). The power line of the world's power grid is the source of ELF/VLF waves in the ionosphere/magnetosphere.…”
Section: Man-made Influences On the Ionosphere And Magnetospherementioning
“…The spatiotemporal behavior of ultralow-frequency electromagnetic fields throughout the San Francisco Bay Area has led to the identification of the Bay Area Rapid Transit (BART) as a source of electromagnetic noise (Fraser-Smith and Coates, 1978). Subsequent measurements at a distance of 100 m from BART suggested periodic bursts of magnetic activity with roughly the periodicity of the BART train (Ho et al, 1979). Given its observability, reliable periodicity, and the presence of multi-scale signatures (e.g., individual train periodicity versus daily operation schedule), the BART is a useful tool to understand the operation of a magnetometer array in an urban area.…”
Section: Multi-station Analysis Of Urban Magnetic Fieldsmentioning
Abstract. The magnetic signature of an urban environment is investigated using a
geographically distributed network of fluxgate magnetometers deployed in and
around Berkeley, California. The system hardware and software are described
and initial operations of the network are reported. The sensors measure
vector magnetic fields at a 3960 Hz sample rate and are sensitive to
0.1 nT/Hz. Data from individual stations are
synchronized to ±120 µs using global positioning system (GPS) and computer system clocks
and automatically uploaded to a central server. We present the initial
observations of the network and preliminary efforts to correlate
sensors. A wavelet analysis is used to study observations of the urban
magnetic field over a wide range of temporal scales. The Bay Area Rapid
Transit (BART) is identified as the dominant signal in our observations,
exhibiting aspects of both broadband noise and coherent periodic features.
Significant differences are observed in both day–night and weekend–weekday
signatures. A superposed epoch analysis is used to study and extract the BART
signal.
“…The spatiotemporal behavior of ultra-low-frequency electromagnetic fields throughout the San Francisco Bay Area has led 25 to the identification of the Bay Area Rapid Transit (BART) as a source of electromagnetic noise (Fraser-Smith and Coates, 1978). Subsequent measurements at a distance of 100 m of BART suggested periodic bursts of magnetic activity roughly the periodicity of the BART train (Ho et al, 1979). Given its observability, reliable periodicity, and presence of multi-scale signatures (e.g.…”
Section: Multi-station Analysis Of Urban Magnetic Fieldsmentioning
confidence: 99%
“…The increase in spectral complexity is consistent with increases in train frequency, an additional active BART line, and variability associated with schedule changes for commuter hours. Previously efforts to capture period signatures associated with the BART found bursts of activity corresponding approximately to the train schedule, but with an irregular variation in the waveform (Ho et al, 1979 BART train period. The periodicity of the coherent BART signature enables for identification and extraction of the time-series waveform associated with BART operation.…”
Abstract. The magnetic signature of an urban environment is investigated using a geographically distributed network of fluxgate magnetometers deployed in and around Berkeley, California. The system hardware and software are described and initial operations of the network are reported. The sensors measure vector magnetic fields at a 3,960 Hz sample rate and are sensitive to 0.1 nT / √Hz. Data from individual stations are synchronized to ± 120 μs using GPS and computer system clocks and automatically uploaded to a central server. We present the initial observations of the network as well as preliminary efforts to correlate sensors. A wavelet analysis is used to study observations of the urban magnetic field over a wide range of temporal scales. The Bay Area Rapid Transit (BART) is identified as dominant signal in our observations, exhibiting both aspects of broadband noise and coherent periodic features. Significant differences are observed in both day/night and weekend/weekday signatures. A superposed epoch analysis is used to study and extract the BART signal.
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