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Journal Article
Published: 27 May 2020
Seismological Research Letters (2020) 91 (4): 2218–2233.
...Qingkai Kong; Robert Martin‐Short; Richard M. Allen Abstract The MyShake project aims to build a global smartphone seismic network to facilitate large‐scale earthquake early warning (EEW) and other applications by leveraging the power of crowdsourcing. The MyShake mobile application first detects...
Journal Article
Published: 19 December 2024
Bulletin of the Seismological Society of America (2025) 115 (1): 86–105.
... intensity data or smartphone data, could prove essential. The predictive power of this nontraditional data for free‐field ground motion needs to be tested before these data are used. In this work, we present a new database of over 1600 ground‐shaking waveforms collected between 2019 and 2023 by the MyShake...
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Journal Article
Published: 07 July 2023
Seismological Research Letters (2023) 94 (5): 2326–2336.
...Qingkai Kong; Richard M. Allen; Steve Allen; Theron Bair; Akie Meja; Sarina Patel; Jennifer Strauss; Stephen Thompson Abstract MyShake is a free citizen science smartphone app that provides a range of features related to earthquakes. Features available globally include rapid postearthquake...
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Journal Article
Published: 05 August 2022
Seismological Research Letters (2022) 93 (6): 3324–3336.
...Sarina C. Patel; Richard M. Allen Abstract MyShake is a free citizen science and public safety smartphone application that delivers the United States ShakeAlert program’s Earthquake Early Warning to the public in the states of California, Oregon, and Washington. Although smartphone notifications...
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Journal Article
Published: 27 May 2020
Seismological Research Letters (2020) 91 (4): 2206–2217.
...Qingkai Kong; Robert Martin‐Short; Richard M. Allen Abstract The MyShake project aims to build a global smartphone seismic network to facilitate large‐scale earthquake early warning and other applications by leveraging the power of crowdsourcing. The MyShake mobile application first detects...
Journal Article
Published: 21 August 2019
Seismological Research Letters (2019) 90 (5): 1937–1949.
...Qingkai Kong; Sarina Patel; Asaf Inbal; Richard M. Allen Abstract MyShake harnesses private and personal smartphones to build a global seismic network. It uses the accelerometers embedded in all smartphones to record ground motions induced by earthquakes, returning recorded waveforms to a central...
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Journal Article
Published: 10 April 2019
Seismological Research Letters (2019) 90 (3): 1209–1218.
...Asaf Inbal; Qingkai Kong; William Savran; Richard M. Allen ABSTRACT MyShake is a growing smartphone‐based network for seismological research applications. We study how dense array analysis of the seismic wavefield recorded by smartphones may enhance microearthquake monitoring in urban environments...
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Journal Article
Published: 05 December 2018
Seismological Research Letters (2019) 90 (2A): 546–552.
...Qingkai Kong; Asaf Inbal; Richard M. Allen; Qin Lv; Arno Puder ABSTRACT This article gives an overview of machine learning (ML) applications in MyShake—a crowdsourcing global smartphone seismic network. Algorithms from classification, regression, and clustering are used in the MyShake system...
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(a) The ratio of MyShake peak acceleration versus traditional station peak ground acceleration (PGA), as binned over 5 km increments for the five sample events. (b) The ratio of MyShake peak acceleration versus 0.3 s pseudospectral acceleration (PSA) from traditional stations. (c) The standard deviation of the log10 of MyShake and traditional station peak acceleration measurements. (d) The number of MyShake observations for all events binned by epicentral distance. (e) The number of traditional station observations for all events binned by epicentral distance.
Published: 05 August 2022
Figure 10. (a) The ratio of MyShake peak acceleration versus traditional station peak ground acceleration (PGA), as binned over 5 km increments for the five sample events. (b) The ratio of MyShake peak acceleration versus 0.3 s pseudospectral acceleration (PSA) from traditional stations. (c
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(a) An example of the alert message sent to MyShake users during an earthquake and (b) a registration density map for MyShake downloads in the western United States, binned into 10 km squares. MyShake provides public alerts in the three western coastal states of Washington, Oregon, and California.
Published: 05 August 2022
Figure 2. (a) An example of the alert message sent to MyShake users during an earthquake and (b) a registration density map for MyShake downloads in the western United States, binned into 10 km squares. MyShake provides public alerts in the three western coastal states of Washington, Oregon
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Correlation of MyShake within‐event residuals against free‐field within‐event for PGA, PGV, and SA at 0.3, 1.0, and 3.0 s in different distance bins. (a) Correlation coefficients for the five IMs in different distance bins. For each bin and each IM, we plot the Pearson correlation coefficient with MyShake within‐event residuals and bootstrapped 95% confidence intervals as error bars. (b) The number of observation pairs (MyShake paired with free field) for each distance bin used. The color version of this figure is available only in the electronic edition.
Published: 19 December 2024
Figure 11. Correlation of MyShake within‐event residuals against free‐field within‐event for PGA, PGV, and SA at 0.3, 1.0, and 3.0 s in different distance bins. (a) Correlation coefficients for the five IMs in different distance bins. For each bin and each IM, we plot the Pearson correlation
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Two events with large intensity errors between the MyShake and DYFI felt reports. (a) M 3.86 Morgan Hill event. (b) M 4.65 Truckee event. MyShake shaking scales are color coded by the number of felt reports. The dotted vertical lines are the standard deviation of MyShake intensities in the distance bins. The color version of this figure is available only in the electronic edition.
Published: 07 July 2023
Figure 10. Two events with large intensity errors between the MyShake and DYFI felt reports. (a)  M 3.86 Morgan Hill event. (b)  M  4.65 Truckee event. MyShake shaking scales are color coded by the number of felt reports. The dotted vertical lines are the standard deviation of MyShake
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(a) Number of responses versus intensity difference between calibrated MyShake and USGS DYFI. The blue dots are the intensity differences within the 1 km UTM boxes, the black solid line and the gray shaded area are the mean and standard deviation of the intensity difference for different events, respectively. (b) Number of responses versus MyShake calibrated intensity standard deviation (σ) within 1 km UTM boxes. The black solid line and the gray shaded area are the mean and standard deviation of the MyShake shaking scale σfor different events. The number of responses versus the MyShake raw shaking scale intensity standard deviation plot is shown in Figure S19. The color version of this figure is available only in the electronic edition.
Published: 07 July 2023
Figure 9. (a) Number of responses versus intensity difference between calibrated MyShake and USGS DYFI. The blue dots are the intensity differences within the 1 km UTM boxes, the black solid line and the gray shaded area are the mean and standard deviation of the intensity difference
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Comparison of the MyShake model against the Abrahamson et al. (2014; hereafter, ASK14) and Boore et al. (2014; hereafter, BSSA14) NGA‐West2 free‐field models. We plot the models for four intensity measures (IMs): (a) PGA, (b) spectral acceleration (SA) at 0.1 s, (c) SA at 0.2 s, and (d) SA at 0.3 s, against epicentral distance. We evaluate ASK14, BSSA14, and MyShake GMM for a VS30=320  m/s and a depth of 8 km for M 3.0, 4.0, and 5.0. The MyShake model is plotted as a solid line, ASK14 is plotted as a dotted line, whereas BSSA14 is plotted as a dashed line. The color version of this figure is available only in the electronic edition.
Published: 19 December 2024
Figure 9. Comparison of the MyShake model against the Abrahamson et al. (2014 ; hereafter, ASK14) and Boore et al. (2014 ; hereafter, BSSA14) NGA‐West2 free‐field models. We plot the models for four intensity measures (IMs): (a) PGA, (b) spectral acceleration (SA) at 0.1 s, (c) SA at 0.2 s
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MyShake accelerations for all records in the dataset, (a) against epicentral distance and (b) against hypocentral distance. Data are binned in 0.5 unit magnitude bins, which are distinguished by different symbols and colors. The number of MyShake records in each magnitude bin is given in brackets in the figure legend. The color version of this figure is available only in the electronic edition.
Published: 19 December 2024
Figure 5. MyShake accelerations for all records in the dataset, (a) against epicentral distance and (b) against hypocentral distance. Data are binned in 0.5 unit magnitude bins, which are distinguished by different symbols and colors. The number of MyShake records in each magnitude bin is given
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(a–d) Shaking intensity (modified Mercalli intensity [MMI] scale) versus distance for four earthquakes in the test set. Each panel compares the estimated MMI shaking derived from the MyShake felt reports using equation (1) to the MMI estimates from Did You Feel It (DYFI). The MyShake data are shown as circles, and the DYFI data are shown as inverted triangles; the dotted vertical lines are the standard deviation of MyShake intensities in the distance bins. The color of the circles represents the number of reports in each distance bins. The distance bins are set to be the same as reported by DYFI: 13.0, 17.3, 23.1, 30.8, 41.1, 54.8, 73, 97.4, 129.9, 173.2, and 231.0 km. Each figure title gives the event id, magnitude, place of the earthquake, number of felt reports, and mean absolute error (MAE). The bins with fewer than 10 MyShake felt reports are not plotted. The color version of this figure is available only in the electronic edition.
Published: 07 July 2023
Figure 4. (a–d) Shaking intensity (modified Mercalli intensity [MMI] scale) versus distance for four earthquakes in the test set. Each panel compares the estimated MMI shaking derived from the MyShake felt reports using equation  (1) to the MMI estimates from Did You Feel It (DYFI). The MyShake
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Spatial and temporal dynamics of the MyShake network. (a) The footprint of the MyShake users in the San Francisco Bay Area, California, U.S.A., and the dots are user locations reported in the heartbeat messages (modified from Kong, Inbal, et al., 2018). (b) The percentage of phones that is steady for more than 30 min during each hour of the day. The line is the average percentage, whereas the shaded area is the standard deviation. MyShake user data from 1 July 2017 to 1 July 2018. The color version of this figure is available only in the electronic edition.
Published: 05 December 2018
Figure 7. Spatial and temporal dynamics of the MyShake network. (a) The footprint of the MyShake users in the San Francisco Bay Area, California, U.S.A., and the dots are user locations reported in the heartbeat messages (modified from Kong, Inbal, et al. , 2018 ). (b) The percentage of phones
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Fit metrics between MyShake calibrated intensity and the DYFI intensity in different distance bins for the 20 events with the most felt reports. (a) Mean absolute errors versus the number of felt reports for each event. The vertical bars are the standard deviation within each event. (b) Scatter plot between U.S. Geological Survey (USGS) DYFI and MyShake calibrated intensities. The solid line and the two dotted lines are 1‐to‐1 and the 0.5‐unit error lines, respectively. The R‐squared value is the coefficient of determination. (c) The histogram of the intensity difference between the MyShake calibrated and DYFI, the mean and standard deviation are listed in the figure. The color version of this figure is available only in the electronic edition.
Published: 07 July 2023
Figure 5. Fit metrics between MyShake calibrated intensity and the DYFI intensity in different distance bins for the 20 events with the most felt reports. (a) Mean absolute errors versus the number of felt reports for each event. The vertical bars are the standard deviation within each event. (b
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Comparison of total (δij) peak ground acceleration (PGA) residuals (ln[osberved]–ln[predicted]) of MyShake (turquoise) and ShakeMap (gray) observations against an average prediction from an ensemble of NGA‐West2 ground‐motion models (GMMs), in natural log units, plotted against (a) Joyner–Boore distance and (b) magnitude. Individual observations are shown as dots. Filled symbols (dots for MyShake and squares for ShakeMap free‐field data) indicate binned means and error bars indicate standard deviations. These are plotted with a slight offset for clarity. The color version of this figure is available only in the electronic edition.
Published: 19 December 2024
Figure 3. Comparison of total ( δ i j ) peak ground acceleration (PGA) residuals (ln[osberved]–ln[predicted]) of MyShake (turquoise) and ShakeMap (gray) observations against an average prediction from an ensemble of NGA‐West2 ground‐motion models (GMMs), in natural log units, plotted
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Events sampled by the MyShake database and locations of smartphone waveforms in California. 96% of the total 1619 records in the MyShake ground‐motion database (GMDB) are located within the plotting area of this map and are plotted here. Events are plotted as stars scaled by magnitude. Waveform records are plotted as dots. We also plot faults active within the last 15 ky from the U.S. Geological Survey Quaternary Faults Database (U.S. Geological Survey and California Geological Survey, 2020) as red lines. The blue polygon indicates the area where events and records are considered for further ground‐motion analysis in the Ground‐Motion Modeling Methodology section. The color version of this figure is available only in the electronic edition.
Published: 19 December 2024
Figure 1. Events sampled by the MyShake database and locations of smartphone waveforms in California. 96% of the total 1619 records in the MyShake ground‐motion database (GMDB) are located within the plotting area of this map and are plotted here. Events are plotted as stars scaled by magnitude