Rotational Seismology: Review of Achievements and Outlooks

Кислов, К. В.; Гравиров, В. В.

doi:10.3103/s0747923921020262

Cited by 5 publications

(2 citation statements)

References 56 publications

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“…Rotational sensors measure the rotation directly, and hence also tilt of the ground. They are not sensitive to translational ground motion, as noted by Bernauer et al (2012) and Kislov & Gravirov (2021). The seismic wave field consists of different phases, including body waves (Pand S-waves) and surface waves (Love and Rayleigh waves) (Aki and Richards, 2002).…”

Section: 2b Rotational Sensors (Sagnac Effect)mentioning

confidence: 99%

Fiber optic sensing for volcano monitoring and imaging volcanic processes

Jousset,

Currenti,

Murphy

et al. 2024

Preprint

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This chapter describes fiber optic sensing methodologies and their applications for understanding volcanic structure and processes. We assess their benefits for volcano monitoring and offer possible solutions to address their challenges. The physical principles at the basis of fiber optic sensing technologies have been known for several decades. These principles are related to various processes involving electro-magnetic interactions of light sent by a laser within glass. Intrinsic physical properties of glass within the optical fiber, when engineered appropriately and interrogated with an adequate light source, enable us to access a number of environmental parameters, such as temperature, strain and rotation over a large frequency range. However, only recently developed instruments have been able to sense these parameters efficiently, either at a point or densely in a distributed way for geophysical and volcanological applications. Rotational sensors allow us to measure the rotational components of the seismic wave field, which have been discarded in the past. Distributed fiber optic sensing provides access to quasi-continuous measurements of temperature, strain and strain rate along km-long fibers with a high spatial resolution (meter) and sampling rate (kHz). We show examples on volcanoes both on land and in submarine environments. We demonstrate that data from optical strainmeters, rotational sensors, distributed fiber optic strain and/or temperature sensing can reveal unknown structural features and processes in volcanoes. These examples testify that fiber optic sensing methodologies owe to be implemented as additional tools for improved volcano monitoring and for volcanic crisis management.

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Section: 2b Rotational Sensors (Sagnac Effect)mentioning

confidence: 99%

Fiber optic sensing for volcano monitoring and imaging volcanic processes

Jousset,

Currenti,

Murphy

et al. 2024

Preprint

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show abstract

“…The revised output in Figure 4 correspond to the theory, which indicates the records of RotSensor3C are quantified. As a new designed 3C rotational seismometer, here we select another two kinds of wellknown three components rotation sensors (R-2, BlueSeis3A) [24] and draw a comparison shown as the Table 1. Notice that the Rotsensor3C and R-2 have no battery inside, so the comparison of dimensions and weight just for reference only.…”

Section: Sensor-axis Orthogonalitymentioning

confidence: 99%

The Development of a New IFOG-Based 3C Rotational Seismometer

Cao

Chen

Zhou

et al. 2021

Sensors

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For many years, seismological research mainly focuses on translational ground motions due to the lack of appropriate sensors. However, because of the development of devices based on Sagnac effect, measuring rotational waves directly comes available. In this work, a portable three-component broadband rotational seismometer named RotSensor3C based on open loop interferometric fiber optic gyroscope (IFOG) is designed and demonstrated. Laboratory tests and results are illustrated in detail. The self-noise ranging from 0.005 Hz to 125 Hz is about 1.2×10−7rads−1/Hz, and with the harmonics compensation the scale factor variation over ±250∘/s is lower than 10 ppm (parts per million). The misalignment matrix method is adopted to revise the output rotation rate. In a special near field experiment using the explosive source, the back-azimuths and phase velocity are estimated by the recorded acceleration and rotation rate. All the results prove the practicability of this new rotational sensor.

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Compensation of scale factor nonlinear error introduced by harmonic distortion for open-loop fiber optic gyroscopes

Zhu¹,

Cao²,

Huang³

et al. 2023

Opt. Lett.

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The scale factor (SF) of a gyroscope is the ratio of the detection output rotational rate and the input, and is expected to be a constant. However, for open-loop interferometric fiber optic gyroscopes (IFOGs) with sinusoidal modulation, harmonic amplitudes are inevitably affected by detection defects, such as nonuniform frequency response of the photodetector or unequal gain of amplification circuits. As a result, harmonic distortion leads to SF nonlinearity, which seriously hinders the accuracy of high-precision gyroscopes. In this Letter, the theoretical form of the SF error introduced by harmonic distortion of open-loop gyroscopes is analyzed, and an effective and simple compensation method is proposed. Instead of traversing the whole dynamic range, the proposed method simplifies the calibration pretest, where only a section of the dynamic range needs to be tested. Experimental results on an open-loop IFOG prototype show that, with our proposed method, the SF nonlinear error is suppressed to 2.5 ppm within the range −300 to +300∘/s, which is 33 times less than that before compensation.

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Rotational Seismology: Review of Achievements and Outlooks

Cited by 5 publications

References 56 publications

Fiber optic sensing for volcano monitoring and imaging volcanic processes

Fiber optic sensing for volcano monitoring and imaging volcanic processes

The Development of a New IFOG-Based 3C Rotational Seismometer

Compensation of scale factor nonlinear error introduced by harmonic distortion for open-loop fiber optic gyroscopes

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