Helmholtz Zentrum Potsdam (GFZ), Germany (2018): ACROSS Strong Motion Network in Central Asia. GFZ Data Services. Other/Seismic Network. doi:10.14470/NQ293785.
Earthquake Early Warning and Rapid Response Systems (EEWRRS) should be a viable complement to other disaster risk reduction strategies, particularly in economically developing countries. The „Early Warning and Impact Forecasting“ group (GFZ, section 2.6) is actively involved in the development of novel strategies to develop scientific and technological solutions that may be efficiently applied in countries with limited resources. The proposed solution includes a risk estimation module that extracts from a portfolio of precomputed impact scenarios those matching the characterization of the event detected by an optimized real-time monitoring network. The real-time network integrates both local, on-site components based on low-cost, smart sensor platforms, as well as regional, sparse strong-motion stations. This hybrid solution allows for the optimization of the lead-time and is tailored to the seismotectonic features of the considered region. A prototype EEWRR System is being developed for the Kyrgyz Republic, with the support of the partner CAIAG and in collaboration with the Ministry of Emergency Solutions of the Government of the Kyrygz Republic (MES). Data are available under network code AD at the GEOFON data centre.
* Description is taken from seismic metadata, and may not match the preferred title for citations.
Parolai, S.; Boxberger, T.; Pilz, M.; Fleming, K.; Haas, M.; Pittore, M.; Petrovic, B.; Moldobekov, B.; Zubovich, A.; Lauterjung, J. (2017). Assessing Earthquake Early Warning Using Sparse Networks in Developing Countries: Case Study of the Kyrgyz Republic. Frontiers in Earth Science, 5, 74. doi:10.3389/feart.2017.00074
Parolai, S.; Boxberger, T.; Pilz, M.; Bindi, D.; Pittore, M.; Wieland, M.; Fleming, K.; Haas, M.; Oth, A.; Milkereit, C.; Dahm, T.; Lauterjung, J.. (2016). Auf dem Weg zur Schadensabschätzung in Echtzeit: Dezentralisierte regionale und Vor-Ort-Frühwarnung in ACROSS. System Erde, 6, 1, pp. 32-37. doi:10.2312/GFZ.syserde.06.01.5
Stankiewicz, J.; Bindi, D.; Oth, A.; Parolai, S. (2015). Toward a cross-border early-warning system for Central Asia. Annals of Geophysics, 58(1): S0111. doi:10.4401/ag-6667
Stankiewicz, J.; Bindi, D.; Oth, A.; Pittore, M.; Parolai, S. (2015). The Use of Spectral Content to Improve Earthquake Early Warning Systems in Central Asia: Case Study of Bishkek, Kyrgyzstan. Bulletin of the Seismological Society of America, 105(5), 2764-2773. doi:10.1785/0120150036
Pittore, M.; Bindi, D.; Stankiewicz, J.; Oth, A.; Wieland, M.; Boxberger, T.; Parolai, S. (2014). Toward a Loss-Driven Earthquake Early Warning and Rapid Response System for Kyrgyzstan (Central Asia). Seismological Research Letters, 85, pp. 1328-1340. doi:10.1785/0220140106