A method of detecting an earthquake, comprises, by a processor and memory circuitry: obtaining motion data based on data collected by one or more sensors, filtering the motion data to obtain filtered data FD, wherein the filtering comprises, within at least one range of frequencies representative of an earthquake, amplifying one or more frequencies of the motion data within this range, wherein the one or more frequencies are more amplified relative to other frequencies within this range, comparing, at least once, data representative of FD to at least one threshold, if this comparison meets an alerting criteria, generating an alert indicating that an earthquake has been detected.

A hierarchical early-warning system for landslide probability issues a first level warning based on measured rainfall amounts exceeding a determined threshold, a second level warning, after the first level warning, based additionally on measured soil moisture content measured at different levels, and Factor of safety derived from forecasted pore pressure (FPP) each exceeding a determined threshold, a third level warning, after the first and the second level warnings, based additionally on ground movement measurements compared to a determined threshold, and a fourth level warning after the first, second and third level warnings, based additionally on data from movement-based sensors including strain gauge data.

A method of underwater tsunami detection includes detecting a trigger event using disruption of at least one of a plurality of hard disk drives (HDDs), each different one of the plurality of HDDs in a different one of a plurality of autonomous underwater vehicles (AUVs). A time and location of each of the at least one HDD for the trigger event is logged. Based on at least one of the HDD disruptions, times, and locations of the at least one HDD of the plurality of HDDs, a size, strength, and direction of a tsunami caused by the trigger event is determined. Information regarding the tsunami is transmitted to a monitoring station.

The present disclosure provides an earthquake prediction method and system based on ground-air remote sensing coupling. The method includes: acquiring a geomagnetic resonance cell; determining an initial earthquake magnitude, an epicentral distance, and an eruption time based on the geomagnetic resonance cell; determining an epicenter based on the epicentral distance; obtaining a satellite remote sensing cloud image and/or an infrared remote sensing image; determining an initial earthquake magnitude, an epicenter and an earthquake eruption time based on the satellite remote sensing cloud image and/or the infrared remote sensing image; and determining a final earthquake magnitude, a final epicenter and a final earthquake eruption time by analysis by a coupled system based on the geomagnetic resonance cell, the satellite remote sensing cloud image and/or the infrared remote sensing image. By the above method, an earthquake can be predicted.

According to one aspect, a computer-implemented method for detecting an earthquake includes detecting vibrations in a trackpad of a computing device using an inductive element and force sensing circuitry of the trackpad and, processing, by a microcontroller of the computing device, the vibrations for detection of an earthquake vibration signal. In response to detecting the earthquake vibration signal, communicating, by the computing device, the earthquake vibration signal to a remote server and receiving, at the computing device, an earthquake alert from the remote server.

Various embodiments herein relate to systems and methods for detecting seismic events. Systems may include inertial sensors distributed on or in communication with a network of optically switchable windows in the building. In some systems, inertial sensors are located within a window controller, within an insulated glass unit, or in some way rigidly attached to the structure of a building. Logic is described for leveraging sensed inertial data to predicted a seismic event and/or evaluate the structural health of the building. In some cases, logic may be used to issue an alert to building occupants about impending shear waves that will arrive at the building's location. In some cases, a window network may respond to a detected seismic event by, e.g., changing the optical state of windows and/or providing occupants with evacuation instructions.

A media Parameter-modified method for realizing an adaptive expression of an arbitrary discontinuous surface, comprising the following steps: importing an initial forward model, importing anisotropic parameters; and setting a space step and a time step according to the initial forward model parameters; and then starting a stepped discretization of a free surface of the initial forward model; and using a corrected constitutive relationship to correct a first level parameter of the initial forward model; and bringing the corrected constitutive relationship into a displacement stress equation, and the influence of the free surface can be introduced in the case of the anisotropic media after series of operation. The present disclosure can make an accurate numerical simulation of a wave field near the discontinuous surface, and the accurate numerical simulation will contribute to the extraction and analysis of information from the seismic data.

A system for collecting and managing parametric data via an external communications network comprises one or more parametric stations operatively connected via the external network to a certification server and a payout server. Each parametric station is configured to receive parametric data from a remote source, determine that the parametric data satisfies a predetermined condition, and transmit the parametric data over the external network to the certification server in response to the parametric data satisfying the predetermined condition. The certification server is configured to generate a certification report based on the parametric data and a data model related to the remote source and transmit the generated certification report to the payout server. The payout server is configured to determine that terms of an associated contract are satisfied based on the certification report, and trigger a payout based on the terms that are satisfied based on the certification report.

A computer implemented method includes: capturing an ambient sound event; determining whether the ambient sound event matches at least one of a plurality of pre-identified sound events stored in a computer storage; generating a prompt via the user interface for a user to confirm that a response is needed; determining whether to initiate a response based on the user's response to the prompt.

Systems and methods are provided for generating a model for detection of seismic events. In this regard, one or more processors may receive from one or more stations located along an underwater optical route, one or more time series of polarization states of a detected light signal during a time period. The one or more processors may transform the one or more time series of polarization states into one or more spectrums in a frequency domain. Seismic activity data for the time period may be received by the one or more processors, where the seismic activity data include one or more seismic events detected in a region at least partially overlapping the underwater optical route. The one or more processors then generate a model for detecting seismic events based on the one or more spectrums and the seismic activity data.