Battalgazi Yildirim, Elizabeth Cochran, Angela Chung, Carl Christensen, Jesse F. Lawrence
Over the past two decades, there have been several initiatives to create volunteer-based seismic networks. The Personal Seismic Network, proposed around 1990, used a short-period seismograph to record earthquake waveforms using existing phone lines (Cranswick and Banfill, 1990; Cranswick et al., 1993). NetQuakes (Luetgert et al., 2010) deploys triaxial Micro-Electromechanical Systems (MEMS) sensors in private homes, businesses, and public buildings where there is an Internet connection. Other seismic networks using a dense array of low-cost MEMS sensors are the Community Seismic Network (Clayton et al., 2012; Kohler et al., 2013) and the Home Seismometer Network (Horiuchi et al., 2009). One main advantage of combining low-cost MEMS sensors and existing Internet connection in public and private buildings over the traditional networks is the reduction in installation and maintenance costs (Koide et al., 2006). In doing so, it is possible to create a dense seismic network for a fraction of the cost of traditional seismic networks (D'Alessandro and D'Anna, 2013; D'Alessandro, 2014; D'Alessandro et al., 2014).
A rapidly deployable and highly mobile seismic network can collect enormous volumes of data at high spatial density during an aftershock sequence following major earthquakes (Naito et al., 2013). Although the low-cost seismic networks described above were primarily designed to detect and characterize earthquakes, the networks have also been used for other purposes such as to monitor building health in Kohler et al. (2013). These types of low-cost networks may also have other potential applications such as detecting landslides (Azzam et al., 2011) and locating explosions (Taylor et al., 2011).
The Quake-Catcher Network (QCN) is another variant of a cyber-social seismic network, which has been operating since 2008. Cochran, Lawrence, Christensen, and Chung (2009) and Cochran, Lawrence, Christensen, and Jakka (2009) describe the implementation that uses a client software phase-picking...
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