Geology ReportsSearch

Geology topics

Shunta Noda

Publications and source records attributed to Shunta Noda.

4 recordsLinked to original sources

A framework for evaluating earthquake early warning for an infrastructure network: An idealized case study of a northern California rail system

Earthquake early warning (EEW) systems provide a few to tens of seconds of warning before shaking hits a site. Despite the recent rapid developments of EEW systems around the world, the optimal alert response strategy and the practical benefit of using EEW are still open-ended questions, especially in areas where EEW systems are new or have not yet been deployed. Here, we use a case study of a rail system in California’s San Francisco Bay Area to explore potential uses of EEW for rail systems. Rail systems are of particular interest not only because they are important lifeline infrastructure and a common application for EEW around the world, but also because their geographically broad yet networked infrastructure makes them almost uniquely well suited for utilizing EEW. While the most obvious potential benefit of EEW to the railway is to prevent derailments by stopping trains before the arrival of shaking, the lead time for warnings is usually not long enough to significantly reduce a train’s speed. In reality, EEW’s greatest impact is preventing derailment by alerting trains to slow down or stop before they encounter damaged track. We perform cost-benefit analyses of different decision-making strategies for several EEW system designs to find an optimal alerting strategy. On-site EEW provides better outcomes than source-parameter-based EEW when warning at a threshold of 120 gal (the level of shaking at which damage might occur) regardless of false alarm tolerance. A source-parameter-based EEW system with a lower alerting threshold (e.g., 40 gal) can reduce the exposure to potentially damaged track compared to an on-site system alerting at 120 gal, but a lower alerting threshold comes at the cost of additional precautionary system stops. The optimal EEW approach for rail systems depends strongly on the ratio of the cost of stopping the system unnecessarily to the potential loss from traversing damaged tracks.

California

Determination of earthquake magnitude for early warning from the time-dependence of P-wave amplitudes

We propose a method that utilizes the time dependence of P ‐wave displacement amplitudes to estimate the final magnitude ( ⁠M⁠ ) for earthquake early warning (EEW) before the arrival of the peak amplitude. A relation between M and P ‐wave displacement amplitude is employed for the method. Its value is set as a function of time from the P arrival, and is determined using a K‐NET dataset recorded in Japan from a scaling relation between M and the time dependence of P ‐wave displacement. A test to check the performance of the proposed equation demonstrates in a statistical sense that this technique enables us to estimate M more rapidly than conventional methods without loss of accuracy. We conclude that the approach proposed in this article effectively gains a longer lead time as well as reduces the blind zone for EEW.

Bulletin of the Seismological Society of America

Scaling relation between earthquake magnitude and the departure time from P wave similar growth

We introduce a new scaling relation between earthquake magnitude ( M ) and a characteristic of initial P wave displacement. By examining Japanese K-NET data averaged in bins partitioned by M w and hypocentral distance, we demonstrate that the P wave displacement briefly displays similar growth at the onset of rupture and that the departure time ( T dp ), which is defined as the time of departure from similarity of the absolute displacement after applying a band-pass filter, correlates with the final M in a range of 4.5 ≤ M w ≤ 7. The scaling relation between M w and T dp implies that useful information on the final M can be derived while the event is still in progress because T dp occurs before the completion of rupture. We conclude that the scaling relation is important not only for earthquake early warning but also for the source physics of earthquakes.

Geophysical Research Letters

Rapid estimation of earthquake magnitude from the arrival time of the peak high-frequency amplitude

We propose a simple approach to measure earthquake magnitude M using the time difference ( T op ) between the body‐wave onset and the arrival time of the peak high‐frequency amplitude in an accelerogram. Measured in this manner, we find that M w is proportional to 2log T op for earthquakes 5&le; M w &le;7, which is the theoretical proportionality if T op is proportional to source dimension and stress drop is scale invariant. Using high‐frequency (>2&thinsp;&thinsp;Hz) data, the root mean square (rms) residual between M w and M T op ( M estimated from T op ) is approximately 0.5 magnitude units. The rms residuals of the high‐frequency data in passbands between 2 and 16 Hz are uniformly smaller than those obtained from the lower‐frequency data. T op depends weakly on epicentral distance, and this dependence can be ignored for distances <200&thinsp;&thinsp;km. Retrospective application of this algorithm to the 2011 Tohoku earthquake produces a final magnitude estimate of M 9.0 at 120 s after the origin time. We conclude that T op of high‐frequency (>2&thinsp;&thinsp;Hz) accelerograms has value in the context of earthquake early warning for extremely large events.

Bulletin of the Seismological Society of America