On the Reliability of Quake-Catcher Network Earthquake Detections

Yildirim, Battalgazi; Cochran, E. S.; Chung, A. I.; Christensen, C.; Lawrence, J. F.

doi:10.1785/0220140218

Cited by 8 publications

(3 citation statements)

References 22 publications

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“…Among the first, a network of 25 MEMS accelerometers managed by the Idaho National Engineering and Environmental Laboratory [38], the Quake-Catcher Network (QCN) managed by the University of Stanford [39,40], a project from the Japan Meteorological Agency [41], and the Community Seismic Network (CSN) developed by the California Institute of Technology [42]. In particular, the QCN has spread in several countries and has become a global-scale network [43,44,45,46].…”

Section: Application Of Capacitive Mems Accelerometers To Seismologymentioning

confidence: 99%

A Review of the Capacitive MEMS for Seismology

D’Alessandro

Scudero

Vitale

2019

Sensors

104

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MEMS (Micro Electro-Mechanical Systems) sensors enable a vast range of applications: among others, the use of MEMS accelerometers for seismology related applications has been emerging considerably in the last decade. In this paper, we provide a comprehensive review of the capacitive MEMS accelerometers: from the physical functioning principles, to the details of the technical precautions, and to the manufacturing procedures. We introduce the applications within seismology and earth sciences related disciplines, namely: earthquake observation and seismological studies, seismic surveying and imaging, structural health monitoring of buildings. Moreover, we describe how the use of the miniaturized technologies is revolutionizing these fields and we present some cutting edge applications that, in the very last years, are taking advantage from the use of MEMS sensors, such as rotational seismology and gravity measurements. In a ten-year outlook, the capability of MEMS sensors will certainly improve through the optimization of existing technologies, the development of new materials, and the implementation of innovative production processes. In particular, the next generation of MEMS seismometers could be capable of reaching a noise floor under the lower seismic noise (few tenths of ng/ H z ) and expanding the bandwidth towards lower frequencies (∼0.01 Hz).

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Section: Application Of Capacitive Mems Accelerometers To Seismologymentioning

confidence: 99%

A Review of the Capacitive MEMS for Seismology

D’Alessandro

Scudero

Vitale

2019

Sensors

104

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“…It is clear that these low-cost MEMS sensors with maximum resolutions of 16 bits are capable of detecting moderate to large earthquakes at distances of several tens of kilometers away (D'Alessandro and D'Anna 2013, Evans et al 2014, Yildirim et al 2015). With their growth in popularity and commercial potential in many research fields, the sensitivity of MEMS devices has significantly improved over time.…”

Section: Introductionmentioning

confidence: 99%

MEMS Accelerometer Mini-Array (MAMA): A Low-Cost Implementation for Earthquake Early Warning Enhancement

et al. 2019

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Earthquake Early Warning Systems (EEWS) are often challenged when the earthquakes occur outside the seismic network or where the station density is sparse. In these situations, poor locations and large alert delays are more common because of the limited azimuthal coverage and the time required for the wavefield to reach the minimum number of seismic stations to issue an alert. Seismic arrays can be used to derive the directivity of the wavefield and obtain better location. However, they are uncommon because of the prohibitive cost of the sensors. Here, we propose the development of an array-based approach using mini-arrays of low-cost Microelectromechanical Systems (MEMS) accelerometers and show how they can be used to improve EEWS. In this paper, we demonstrate this approach using data from two MEMS Accelerometer Mini-Arrays (MAMA) deployed at University of California Berkeley and Humboldt State University. We use a new low-cost ( <U.S. $150) Data Acquisition Unit and solve for the back azimuth of seven events with magnitudes ranging from Mw 2.7 to 5.1 at distances of 5 km to 106 km.

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“…The Quake Catcher Network used private/personal laptops with accelerometers in them or USB-attached sensors (Elizabeth et al, 2009;Yildirim et al, 2015). The Community Seismic Network consisted of similar MEMS sensors attached to a PC in a dedicated "box" that could be deployed in homes and offices (Clayton et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

MyShake: Using Human-Centered Design Methods to Promote Engagement in a Smartphone-Based Global Seismic Network

et al. 2018

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MyShake is a global seismic platform that uses private citizens' smartphones to detect earthquakes and record both ground shaking and users' experiences. The goal is to reduce earthquake risk and provide users with a resource for earthquake science and information. It is powered by the participation of users, therefore, its success as a global network and its utility for the users themselves is reliant on their engagement and continued involvement. This paper discusses the citizen scientist participation that enables MyShake, with specific attention to the human-centered design process that was used to overhaul the mobile application's user interface. After the successful initial launch of the application in February of 2016, we had the opportunity to revisit the user interface based on user feedback and needs. The process began with an assessment of the user and geographic distribution of the original user base through surveys and Google Play Store analytics. Subsequently, through systematic examination of the motivations and needs of community members in the San Francisco Bay Area and iterative evaluations of design decisions, MyShake was redesigned to appeal as a resource to a wider range of users in earthquake-prone regions. The new user interface was then evaluated through interviews, surveys, and meetups with potential users. We highlight the human-centered methodology we employed, as well as the roadblocks we faced, in the hopes that our experience will be valuable to other citizen science projects in the future.

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On the Reliability of Quake-Catcher Network Earthquake Detections

Cited by 8 publications

References 22 publications

A Review of the Capacitive MEMS for Seismology

A Review of the Capacitive MEMS for Seismology

MEMS Accelerometer Mini-Array (MAMA): A Low-Cost Implementation for Earthquake Early Warning Enhancement

MyShake: Using Human-Centered Design Methods to Promote Engagement in a Smartphone-Based Global Seismic Network

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