Rapid identification of earthquake rupture plane using Source-Scanning Algorithm

Rapid Assessment of Earthquake Source Characteristics

Recent studies emphasize the rapid assessment of earthquake source properties, such as moment magnitude, to help alleviate the impact of earthquakes. Depending on local crustal structure, earthquakes occurring at different depths can differ greatly in high-frequency motions, which emphasizes the importance in constraining focal depth for the predictions of strong motions. For large earthquakes,...

Tsunami early warning using earthquake rupture duration

[1] Effective tsunami early warning for coastlines near a tsunamigenic earthquake requires notification within 5–15 minutes. We have shown recently that tsunamigenic earthquakes have an apparent rupture duration, T0, greater than about 50 s. Here we show that T0 gives more information on tsunami importance than moment magnitude, Mw, and we introduce a procedure using seismograms recorded near a...

The Mechanics of Earthquake Rupture

Earthquake lights and rupture processes

A physical model of earthquake lights is proposed. It is suggested that the magnetic diffusion from the electric and magnetic fields source region is a dominant process, explaining rather high localization of the light flashes. A 3D numerical code allowing to take into account the arbitrary distribution of currents caused by ground motion, conductivity in the ground and at its surface, includin...

Video Source Identification Algorithm Using Gaussian-based Sensor Pattern Noise

Multimedia such as image, audio, and video is easy to create and distribute with the advance of IT. Since novice uses them for illegal purposes, multimedia forensics are required to protect contents and block illegal usage. This paper presents a multimedia forensic algorithm for video to identify the device used for acquiring unknown video files. First, the way to calculate a sensor pattern noi...