Articles | Volume 20, issue 4
Research article
03 Apr 2020
Research article |  | 03 Apr 2020

Design and implementation of a mobile device app for network-based earthquake early warning systems (EEWSs): application to the PRESTo EEWS in southern Italy

Simona Colombelli, Francesco Carotenuto, Luca Elia, and Aldo Zollo

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Cited articles

Allen, R. M.: The ElarmS earthquake early warning methodology and its application across California, in: Earthquake Early Warning Systems, edited by: Gasparini, P., Manfredi, G., and Zschau, J., Springer, Berlin, Heidelberg, Germany, 21–44, ISBN-13 978-3-540-72240-3, 2007. 
Bindi, D., Spallarossa, D., Eva, C., and Cattaneo, M.: Local and duration magnitudes in the northwestern Italy, and seismic moment versus magnitude relationship, B. Seismol. Soc. Am., 95, 592–604, 2005. 
Bindi, D., Pacor, F., Luzi, L., Puglia, R., Massa, M., Ameri, G., and Paolucci, R.: Ground motion prediction equations derived from the Italian strong motion database, B. Earthq. Eng., 9, 1899–1920, 2011. 
Böse, M., Allen, R., Brown, H., Gua, G., Fischer, M., Hauksson, E., Heaten, T., Hellweg, M., Liukis, M., Neuhauser, D., Maechling, P., Solanki, K., Vinci, M., Henson, I., Khainovski, O., Kuyuk, S., Carpio, M., Meier, M.-A., and Jordan, T.: CISN ShakeAlert: An Earthquake Early Warning Demonstration System for California, in: Early Warning for Geological Disasters. Advanced Technologies in Earth Sciences, edited by: Wenzel, F. and Zschau, J., Springer, Berlin, Heidelberg, Germany, 2014. 
Castello, B., Olivieri, M., and Selvaggi G.: Local and duration magnitude determination for the Italian earthquake catalogue, B. Seismol. Soc. Am., 97, 128–139,, 2007. 
Short summary
We developed a mobile app for Android devices which receives the alerts generated by a network-based early warning system, predicts the expected ground-shaking intensity and the available lead time at the user position, and provides customized messages to inform the user about the proper reaction to the alert. The app represents a powerful tool for informing in real time a wide audience of end users and stakeholders about the potential damaging shaking in the occurrence of an earthquake.
Final-revised paper