2014
DOI: 10.1785/0220140106
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Toward a Loss-Driven Earthquake Early Warning and Rapid Response System for Kyrgyzstan (Central Asia)

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Cited by 18 publications
(18 citation statements)
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References 30 publications
(31 reference statements)
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“…Oth et al (2010) developed a technique for designing optimal EEW systems, using an acceleration threshold based methodology as an example. The main attractiveness of this methodology lies in its simplicity, and its applicability to Central Asia has since been demonstrated (Stankiewicz et al, 2013;Pittore et al, 2014). The method considers a number of potential station locations and a set of scenario events representative of the seismic hazard facing the target city.…”
Section: Ground Acceleration Based Systems and Optimizationmentioning
confidence: 99%
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“…Oth et al (2010) developed a technique for designing optimal EEW systems, using an acceleration threshold based methodology as an example. The main attractiveness of this methodology lies in its simplicity, and its applicability to Central Asia has since been demonstrated (Stankiewicz et al, 2013;Pittore et al, 2014). The method considers a number of potential station locations and a set of scenario events representative of the seismic hazard facing the target city.…”
Section: Ground Acceleration Based Systems and Optimizationmentioning
confidence: 99%
“…Despite this exposure, no earthquake warning systems currently exist in the region. The capital city of Kyrgyzstan has previously been used as a case study to demonstrate the necessity and feasibility of using networks of stations for such systems in the region (Picozzi et al, 2013;Pittore et al, 2014). The study presented here builds on those efforts, presenting a new, efficient type of regional warning systems and demonstrating how they can be incorporated into a modern earthquake warning-rapid response system.…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, most of these systems are designed to mainly undertake the rapid assessment of the potential shaking arising from an event, providing decision makers with timely access to information related to the potential losses (and their distribution) that the event could generate (e.g., Pittore et al, 2014;Bindi et al, 2016;Parolai et al, 2016). In the cases where such information would not be able to trigger an alarm within a certain target area (i.e., within the event's blind zone), the resulting real-time information about the amount and distribution of losses would still be of major importance to disaster managers and decision makers (e.g., Pittore et al, 2014).…”
Section: Introductionmentioning
confidence: 99%
“…In the cases where such information would not be able to trigger an alarm within a certain target area (i.e., within the event's blind zone), the resulting real-time information about the amount and distribution of losses would still be of major importance to disaster managers and decision makers (e.g., Pittore et al, 2014).…”
Section: Introductionmentioning
confidence: 99%
“…In central Asia, Bindi, Mayfield, et al (2011) found that the amplification functions for Bishkek (the capital of Kyrgyzstan) obtained through the standard spectral ratio techniques lead to macroseismic increments as high as two degrees when included in a scenario study prepared for the Issyk-Ata fault. The amplification levels and the spatial variability of the site effects observed in Bishkek (e.g., Parolai et al, 2010;Ullah et al, 2012) are indeed a common feature for most capitals of central Asia (e.g., Pilz et al, 2013Pilz et al, , 2015, and the site effects deserve special attention when developing strategies for risk mitigation in this region (e.g., Pittore et al, 2014). To account for the influence of the local geology on the intensity distribution, in the former Soviet Union the so-called seismic microzoning (SMZ; e.g., Nurmanganbetov et al, 1999) was developed, in which the local site conditions (including topography and groundwater level) were spatially categorized to assign intensity increments for normative purposes.…”
Section: Introductionmentioning
confidence: 99%