Tohoku University · Earth and Planetary Sciences
Professor Masayuki Kano's research lab specializes in geophysical modeling and observational analysis of slow earthquakes, aseismic slip, and their relationships with large interplate earthquakes in subduction zones. The lab focuses on understanding the spatiotemporal evolution of slow slip events (SSEs) and deep low-frequency tremors using advanced data assimilation techniques, particularly adjoint methods, to optimize frictional parameters and improve earthquake prediction models. Their work integrates geodetic data (e.g., GNSS) with seismic and geophysical observations to reveal the heterogeneous strength and slip behavior in transitional and locked zones of subduction interfaces in Japan, especially in the Nankai and Ryukyu Trench regions. The lab also investigates the dynamic triggering mechanisms between afterslip, tremors, and subsequent earthquakes, aiming to enhance our understanding of fault zone rheology and seismic hazard assessment.
Figures are computed from collected data and may differ slightly.
Recent seismic and geodetic observations in subduction zones have revealed that slow earthquakes have preceded some large earthquakes. Characterization of slow earthquakes and their relation to large earthquakes provides important clues to constrain a wide spectrum of slip rates on tectonic faults. Here, we report new evidence of a slow slip transient at the downdip edge of the strongly locked seismogenic zone in the western Nankai Trough in southwest Japan. This slow slip transient was excited
Deep low frequency tremors are indicators of slow slip transients in the brittle-ductile transition zone along subducting plates. Investigation of comprehensive tremor activities is therefore an important issue for understanding the seismic/aseismic characteristics in transition zones. Here, we focus on the radiated energy from tremors to reveal the along-strike heterogeneity in the strength of tremor patches. Based on a tremor catalog that more accurately evaluates radiated energy, we examine t
Data assimilation is a technique that optimizes the parameters used in a numerical model with a constraint of model dynamics achieving the better fit to observations. Optimized parameters can be utilized for the subsequent prediction with a numerical model and predicted physical variables are presumably closer to observations that will be available in the future, at least, comparing to those obtained without the optimization through data assimilation. In this work, an adjoint data assimilation s
Abstract Many short‐term slow slip events (S‐SSEs) occur at the transition zone along the Nankai subduction zone, southwest Japan. Because crustal deformation due to a single S‐SSE is small, the source fault is often represented using a planar uniform single‐fault slip model, resulting in little constraint on the spatial heterogeneity in amounts of slip. To comprehensively investigate the detailed cumulative spatial distribution of S‐SSEs in the entire Nankai subduction zone, we adopted a stacki
Afterslip sometimes triggers subsequent earthquakes within a timescale of days to several years. Thus, it may be possible to predict the occurrence of such a triggered earthquake by simulating the spatio-temporal evolution of afterslip with estimated frictional parameters. To demonstrate the feasibility of this idea, we consider a plate interface model where afterslip propagates between two asperities following a rate-and-state friction law, and we adopt an adjoint data assimilation method to op
Abstract Slow slip events (SSEs) with a moment magnitude of 6.6–6.7 occur at intervals of 5–9 months along the southern Ryukyu subduction zone in southwestern Japan. To obtain detailed image of these SSEs, this study applies a modified Network Inversion Filter to the Global Navigation Satellite System time series from March 2010 to February 2013 and estimates the spatiotemporal evolution of slow slip on the plate interface. Five SSEs are detected during this period. These events have similar cum
Abstract The episodic transient fault slips called slow slip events (SSEs) have been observed in many subduction zones. These slips often occur in regions adjacent to the seismogenic zone during the interseismic period, making monitoring SSEs significant for understanding large earthquakes. Various fault slip behaviors, including SSEs and earthquakes, can be explained by the spatial heterogeneity of frictional properties on the fault. Therefore, estimating frictional properties from geodetic obs
Earthquakes sometimes cause serious disasters not only directly by ground motion itself but also secondarily by infrastructure damage, particularly in densely populated urban areas that have capital functions. To reduce the number and severity of secondary disasters, it is important to evaluate seismic hazards rapidly by analysing the seismic responses of individual structures to input ground motions. We propose a method that integrates physics-based and data-driven approaches in order to obtain
Abstract Long‐period ground motions due to large earthquakes can cause devastating disasters, especially in urbanized areas located on sedimentary basins. To assess and mitigate such damage, it is essential to rapidly evaluate seismic hazards for infrastructures, which can be simulated by seismic response analyses that use waveforms at the base of each infrastructure as an input ground motion. The present study reconstructs the seismic wavefield in the Tokyo metropolitan area located on the Kant
Abstract Postseismic Global Navigation Satellite System (GNSS) time series followed by megathrust earthquakes can be interpreted as a result of afterslip on the plate interface, especially in its early phase. Afterslip is a stress release process accumulated by adjacent coseismic slip and can be considered a recovery process for future events during earthquake cycles. Spatio-temporal evolution of afterslip often triggers subsequent earthquakes through stress perturbation. Therefore, it is import
The dense seismic array "MeSO-net" (Metropolitan Seismic Observation network), in which 296 accelerometers, at this moment, are installed with several kilometer intervals, was established in 2007 for the purpose of the disaster mitigation for forthcoming large earthquakes. Whether the actual azimuths of MeSOnet seismometers newly installed after 2009 were really in the magnetic north or not has not been verified yet, while the azimuths of three seismometers installed before 2008 were already con
Since variations of slip on plate boundaries depend on frictional properties, it is essential to know frictional parameters on the fault, as well as initial values of simulation variables for earthquake generation prediction.In this study, an adjoint data assimilation method is introduced to a simplified fault model with a rate-and state-dependent friction law as a first step toward the goal of estimating the frictional parameters and initial values of simulation variables in a realistic situati
Abstract The southern part of the Ryukyu subduction zone has recorded tsunami events with a recurrence interval of several hundred years. Although their source is controversial, one model suggests that the last 1771 Yaeyama tsunami was caused by a shallow megathrust earthquake with a magnitude of 8. However, the current knowledge on interplate coupling based on recent geodetic data is limited. Here, a time series of Global Navigation Satellite System data from January 2010 to February 2021 was a
Abstract Monitoring and predicting fault slip behaviors in subduction zones is essential for understanding earthquake cycles and assessing future earthquake potential. We developed a data assimilation method for fault slip monitoring and the short-term prediction of slow slip events, and applied to the 2010 Bungo Channel slow slip event in southwest Japan. The observed geodetic data were quantitatively explained using a physics-based model with data assimilation. We investigated short-term predi
Recent geodetic measurements have detected recurrent slow slip events (SSEs) in many subduction zones. Numerical simulations suggest that the recurrence intervals and magnitudes of such SSEs decrease in the later stage of the interseismic period. Therefore, activities of SSEs and their temporal variations in recurrence intervals and magnitudes provide important clues for evaluating future large earthquakes. However, our knowledge of recurrent SSEs before the establishment of dense observation ne
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