Assessing Earthquake Early Warning Using Sparse Networks in Developing Countries: Case Study of the Kyrgyz Republic
The first real-time digital strong-motion network in Central Asia has been installed in the Kyrgyz Republic since 2014. Although this network consists of only 19 strong-motion stations, they are located in near-optimal locations for earthquake early warning and rapid response purposes. In fact, it i...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2017-09-01
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| Series: | Frontiers in Earth Science |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/article/10.3389/feart.2017.00074/full |
| _version_ | 1818254111477334016 |
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| author | Stefano Parolai Tobias Boxberger Marco Pilz Kevin Fleming Michael Haas Massimiliano Pittore Bojana Petrovic Bolot Moldobekov Alexander Zubovich Joern Lauterjung Joern Lauterjung |
| author_facet | Stefano Parolai Tobias Boxberger Marco Pilz Kevin Fleming Michael Haas Massimiliano Pittore Bojana Petrovic Bolot Moldobekov Alexander Zubovich Joern Lauterjung Joern Lauterjung |
| author_sort | Stefano Parolai |
| collection | DOAJ |
| description | The first real-time digital strong-motion network in Central Asia has been installed in the Kyrgyz Republic since 2014. Although this network consists of only 19 strong-motion stations, they are located in near-optimal locations for earthquake early warning and rapid response purposes. In fact, it is expected that this network, which utilizes the GFZ-Sentry software, allowing decentralized event assessment calculations, not only will provide useful strong motion data useful for improving future seismic hazard and risk assessment, but will serve as the backbone for regional and on-site earthquake early warning operations. Based on the location of these stations, and travel-time estimates for P- and S-waves, we have determined potential lead times for several major urban areas in Kyrgyzstan (i.e., Bishkek, Osh, and Karakol) and Kazakhstan (Almaty), where we find the implementation of an efficient earthquake early warning system would provide lead times outside the blind zone ranging from several seconds up to several tens of seconds. This was confirmed by the simulation of the possible shaking (and intensity) that would arise considering a series of scenarios based on historical and expected events, and how they affect the major urban centers. Such lead times would allow the instigation of automatic mitigation procedures, while the system as a whole would support prompt and efficient actions to be undertaken over large areas. |
| first_indexed | 2024-12-12T16:50:46Z |
| format | Article |
| id | doaj.art-9efe3a43ed4841b7b1ed27bfde7dd5ca |
| institution | Directory Open Access Journal |
| issn | 2296-6463 |
| language | English |
| last_indexed | 2024-12-12T16:50:46Z |
| publishDate | 2017-09-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Earth Science |
| spelling | doaj.art-9efe3a43ed4841b7b1ed27bfde7dd5ca2022-12-22T00:18:23ZengFrontiers Media S.A.Frontiers in Earth Science2296-64632017-09-01510.3389/feart.2017.00074293476Assessing Earthquake Early Warning Using Sparse Networks in Developing Countries: Case Study of the Kyrgyz RepublicStefano Parolai0Tobias Boxberger1Marco Pilz2Kevin Fleming3Michael Haas4Massimiliano Pittore5Bojana Petrovic6Bolot Moldobekov7Alexander Zubovich8Joern Lauterjung9Joern Lauterjung10GFZ German Research Centre for GeosciencesPotsdam, GermanyGFZ German Research Centre for GeosciencesPotsdam, GermanyGFZ German Research Centre for GeosciencesPotsdam, GermanyGFZ German Research Centre for GeosciencesPotsdam, GermanyGFZ German Research Centre for GeosciencesPotsdam, GermanyGFZ German Research Centre for GeosciencesPotsdam, GermanyGFZ German Research Centre for GeosciencesPotsdam, GermanyCentral Asian Institute for Applied GeosciencesBishkek, KyrgyzstanCentral Asian Institute for Applied GeosciencesBishkek, KyrgyzstanGFZ German Research Centre for GeosciencesPotsdam, GermanyCentral Asian Institute for Applied GeosciencesBishkek, KyrgyzstanThe first real-time digital strong-motion network in Central Asia has been installed in the Kyrgyz Republic since 2014. Although this network consists of only 19 strong-motion stations, they are located in near-optimal locations for earthquake early warning and rapid response purposes. In fact, it is expected that this network, which utilizes the GFZ-Sentry software, allowing decentralized event assessment calculations, not only will provide useful strong motion data useful for improving future seismic hazard and risk assessment, but will serve as the backbone for regional and on-site earthquake early warning operations. Based on the location of these stations, and travel-time estimates for P- and S-waves, we have determined potential lead times for several major urban areas in Kyrgyzstan (i.e., Bishkek, Osh, and Karakol) and Kazakhstan (Almaty), where we find the implementation of an efficient earthquake early warning system would provide lead times outside the blind zone ranging from several seconds up to several tens of seconds. This was confirmed by the simulation of the possible shaking (and intensity) that would arise considering a series of scenarios based on historical and expected events, and how they affect the major urban centers. Such lead times would allow the instigation of automatic mitigation procedures, while the system as a whole would support prompt and efficient actions to be undertaken over large areas.http://journal.frontiersin.org/article/10.3389/feart.2017.00074/fullearthquakeearly warning systemlead timeseismic risk mitigationCentral Asia |
| spellingShingle | Stefano Parolai Tobias Boxberger Marco Pilz Kevin Fleming Michael Haas Massimiliano Pittore Bojana Petrovic Bolot Moldobekov Alexander Zubovich Joern Lauterjung Joern Lauterjung Assessing Earthquake Early Warning Using Sparse Networks in Developing Countries: Case Study of the Kyrgyz Republic Frontiers in Earth Science earthquake early warning system lead time seismic risk mitigation Central Asia |
| title | Assessing Earthquake Early Warning Using Sparse Networks in Developing Countries: Case Study of the Kyrgyz Republic |
| title_full | Assessing Earthquake Early Warning Using Sparse Networks in Developing Countries: Case Study of the Kyrgyz Republic |
| title_fullStr | Assessing Earthquake Early Warning Using Sparse Networks in Developing Countries: Case Study of the Kyrgyz Republic |
| title_full_unstemmed | Assessing Earthquake Early Warning Using Sparse Networks in Developing Countries: Case Study of the Kyrgyz Republic |
| title_short | Assessing Earthquake Early Warning Using Sparse Networks in Developing Countries: Case Study of the Kyrgyz Republic |
| title_sort | assessing earthquake early warning using sparse networks in developing countries case study of the kyrgyz republic |
| topic | earthquake early warning system lead time seismic risk mitigation Central Asia |
| url | http://journal.frontiersin.org/article/10.3389/feart.2017.00074/full |
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