Towards accurate seismic events detection using motion sensors on smartphones

Author(s):  
Zhaohui Yuan ◽  
Yuqin Zhu ◽  
Mei He ◽  
Qingping Cao
2020 ◽  
Vol 12 (12) ◽  
pp. 231
Author(s):  
Julián Miranda ◽  
Angélica Flórez ◽  
Gustavo Ospina ◽  
Ciro Gamboa ◽  
Carlos Flórez ◽  
...  

This paper presents an integrated model for seismic events detection in Colombia using machine learning techniques. Machine learning is used to identify P-wave windows in historic records and hence detect seismic events. The proposed model has five modules that group the basic detection system procedures: the seeking, gathering, and storage seismic data module, the reading of seismic records module, the analysis of seismological stations module, the sample selection module, and the classification process module. An explanation of each module is given in conjunction with practical recommendations for its implementation. The resulting model allows understanding the integration of the phases required for the design and development of an offline seismic event detection system.


2015 ◽  
Author(s):  
Leonardo Gómez Bernal ◽  
Reynam da Cruz Pestana

2019 ◽  
Vol 51 ◽  
pp. 1-14 ◽  
Author(s):  
Nicola Cenni ◽  
Jacopo Boaga ◽  
Filippo Casarin ◽  
Giancarlo De Marchi ◽  
Maria Rosa Valluzzi ◽  
...  

Abstract. Modern seismic ground-motion sensors have reached an excellent performance quality in terms of dynamic range and bandwidth resolution. The weakest point in the recording of seismic events remains spatial sampling and spatial resolution, due to the limited number of installed sensors. A significant improvement in spatial resolution can be achieved by the use of non-conventional motion sensors, such as low-cost distributed sensors arrays or positioning systems, capable of increasing the density of classical seismic recording networks. In this perspective, we adopted micro-electro mechanical system (MEMS) sensors to integrate the use of standard accelerometers for moderate-to-strong seismic events. In addition, we analyse high-rate distributed positioning system data that also record soil motion. In this paper, we present data from the 2016 Central Italy earthquakes as recorded by a spatially dense prototype MEMS array installed in the proximity of the epicentral area, and we compare the results to the signal of local 1s GPS stations. We discuss advantages and limitations of this joint approach, reaching the conclusion that such low-cost sensors and the use of high rate GPS signal could be an effective choice for integrate the spatial density of stations providing strong-motion parameters.


2021 ◽  
Vol 146 ◽  
pp. 104628
Author(s):  
Jan Wiszniowski ◽  
Beata Plesiewicz ◽  
Grzegorz Lizurek

2010 ◽  
Vol 75 (3) ◽  
pp. 533-538 ◽  
Author(s):  
B. K. Sharma ◽  
Amod Kumar ◽  
V. M. Murthy

1966 ◽  
Author(s):  
John O. Maberry ◽  
Barton K. Barnes
Keyword(s):  

Sign in / Sign up

Export Citation Format

Share Document