Abstract
Using Global Navigation Satellite System–Acoustic (GNSS-A) technique, we have been developing observation system on a moored buoy for continuous monitoring of seafloor crustal deformation. The sound speed structure near a warm current has heterogeneity, which is the main cause of a seafloor positioning error. Assuming a sloping structure, previous studies proposed sound speed model to reduce positioning error. We examined the validity of the model by comparing the estimated structure with the actual structure measured at multiple points around our observation site. The result shows that the gradient parameter estimated from GNSS-A data acquired by vessel is appropriate. The numerical examination indicates that modeling error caused by the misinterpretation of the depth of gradient layer occurs, and it can be suppressed by performing acoustic ranging at the point near the centroid of units. From the calculation of estimation error of sound speed variation, the predicted acoustic ranging error observed using the moored buoy staying near the centroid is 9.0 cm or below. Therefore, seafloor displacement can be detected with centimeter class via moored buoy in the basin of a warm current.
Highlights
Spiess et al (1998) originally presented observation method for seafloor crustal deformation by combining Global Navigation Satellite System (GNSS) positioning with acoustic ranging
GNSS buoy was successful to detect tsunamis generated by the 2001 Peru earthquake, the 2004 off the Kii peninsula earthquake in Japan, and so on
We previously reported the development of a comprehensive observation system for tsunami, ionospheric total electron content, precipitable water, and seafloor crustal deformation (Kato et al 2018)
Summary
Spiess et al (1998) originally presented observation method for seafloor crustal deformation by combining Global Navigation Satellite System (GNSS) positioning with acoustic ranging. GNSS–Acoustic (GNSS-A) technique uses a vessel or buoy as a relay point and estimates the relative position on the seafloor by acoustic ranging. Yokota and Ishikawa (2019b) conducted an observation at frequent intervals and were successful to detect the displacement due to the slow slip event. We previously reported the development of a comprehensive observation system for tsunami, ionospheric total electron content, precipitable water, and seafloor crustal deformation (Kato et al 2018)
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