Very interesting read on earthquake early warning performance and potential, on the case of last year's devastating M7.8 #earthquake in #Turkey which killed almost 60,000 people:
https://www.nature.com/articles/s41598-024-55279-z
What I feel is missing is a questionnaire to users that received the warning on their phones, whether they reacted to the warning, preparing for shaking and whether it changed the actual effects on their well-being/survival.
#seismology #earthquakeearlywarning #eew #eews #peews #pazarcik #eqn
Smartphones enabled up to 58 s strong-shaking warning in the M7.8 Türkiye earthquake - Scientific Reports
Public earthquake early warning systems (PEEWSs) have the potential to save lives by warning people of incoming seismic waves up to tens of seconds in advance. Given the scale and geographical extent of their impact, this potential is greatest for destructive earthquakes, such as the M7.8 Pazarcik (Türkiye) event of 6 February 2023, which killed almost 60,000 people. However, warning people of imminent strong shaking is particularly difficult for large-magnitude earthquakes because the warning must be given before the earthquake has reached its final size. Here, we show that the Earthquake Network (EQN), the first operational smartphone-based PEEWS and apparently the only one operating during this earthquake, issued a cross-border alert within 12 s of the beginning of the rupture. A comparison with accelerometer and macroseismic data reveals that, owing to the EQN alerting strategy, Turkish and Syrian EQN users exposed to intensity IX and above benefitted from a warning time of up to 58 s before the onset of strong ground shaking. If the alert had been extended to the entire population, approximately 2.7 million Turkish and Syrian people exposed to a life-threatening earthquake would have received a warning ranging from 30 to 66 s in advance.
Danielle Sumy shows how combining geospatial techniques with social science not only provides insights into people's experience and behavior during earthquakes, but also benefits the science related to earthquake parameters that help decision-making:
https://doi.org/10.26443/seismica.v2i2.527
#Seismology #EarthquakeScience #DiamondOpenAccess #Earthquake #OpenAccess #OpenScience #socialscience #earthquakeearlywarning
Geocoding Applications for Social Science to Improve Earthquake Early Warning
Geocoding is a spatial analysis method that uses address information (e.g., street address, intersection, census tract, zip code, etc.) to determine geographical coordinates (latitude and longitude). In recent decades, geocoding has gone beyond its primary use for census and demographic information to novel applications in disaster risk reduction, even to earthquake early warning. Here I demonstrate the usefulness of geocoding techniques to earthquake early warning systems as applied to case studies that relied on survey response data and crowd-sourced video footage. These datasets were initially collected to understand the efficacy of tests conducted on ShakeAlert®, the earthquake early warning system for the West Coast of the United States, and how people behave during earthquakes, respectively. Geocoding these data can improve our overall technical understanding of the system, demonstrate whether individuals take protective actions such as ‘Drop, Cover, and Hold On’, and spotlight community demographics that the system is reaching or unintentionally missing. The combination of these social science datasets with geocoding information deepens our knowledge of these fundamentally human-centered systems, including how to improve the distribution of alerts for people and individuals with access and functional needs. In the future, this work may help verify U.S. Geological Survey ‘Did You Feel It?’ responses and seismic intensity, especially in regions with sparse seismic networks.
💧🌏 Greg Cocks
ObsPy Dev Team 
WeAreSeismica