🌊 P-Wave Goodness & Disaster Science
A Scientific Perspective on Goodness: From P-Waves to Collective Reflexes in Disaster Science
Ali Osman Öncel — Department of Geophysical Engineering, Division of Seismology, Istanbul University-Cerrahpaşa
- The P-wave, seismology's harmless precursor signal, is reframed as a metaphor for ethical, prosocial response after disasters.
- Citizen seismology platforms (MyShake, EMSC LastQuake, DYFI) turn individual observations into ethical intervention signals.
- A hospital-triage-style model links geophysical data with community solidarity to prioritize post-earthquake response.
Plain Language Summary
When a large earthquake strikes, the first seismic signal to arrive, the P-wave, causes no damage but gives people a few seconds of warning before the more destructive S-wave arrives. This paper uses the P-wave as a metaphor for something similar in human behavior: an early, harmless signal that precedes a much larger wave of spontaneous, prosocial helping in a community after a disaster. Citizen seismology apps such as MyShake and EMSC LastQuake let ordinary people report shaking and damage from their phones, turning personal observations into signals that can guide emergency responders, much like a hospital triage system sorts patients by urgency.
Drawing on the 2023 Kahramanmaraş earthquakes and a comparison with Japan's early-warning systems, the study argues that disaster response works best when technical seismic data and community solidarity are treated as two signals of one event, not two separate stories.
This study investigates how societal reflexes triggered by large-scale earthquakes can be integrated with scientific early-warning systems. Drawing on citizen seismology platforms such as MyShake and EMSC LastQuake, alongside early-warning systems developed by AFAD and JMA, the concept of “collective prosocial waves” is proposed to describe the rapidly emerging prosocial behavior seen during crises. Inspired by the seismic P-wave, this metaphor illustrates how social reflexes can be activated through scientific responsibility. An algorithmic triage system is proposed, combining ground-motion measurements with citizen-generated data through geophysical risk mapping, social resilience analysis, and dynamic response prioritization. Disaster response is thus redefined not merely as a physical process, but as an ethical system that incorporates social resilience and scientific responsibility.
Keywords: Citizen seismology, disaster ethics, early warning systems, social capital, collective reflexes.
Disasters test not only physical infrastructure but also the resilience of collective human response. A growing body of work links post-disaster prosocial behavior to social identity, trust, and solidarity (Aldrich & Meyer, 2015; Ntontis et al., 2023; Drury & Tekin Guven, 2022), yet the relationship between these social reflexes and the geophysical signals that precede them remains largely unexplored in the seismology and disaster-engineering literature. Earthquake early warning (EEW) systems offer strong potential for reducing risk and accelerating response, and their integration with public participation is critical for building collective awareness and trust (Allen et al., 2020; Bossu et al., 2022).
This paper analyzes the societal reflexes triggered by large earthquakes through the lens of scientific responsibility, proposing an interdisciplinary model built around the metaphor of a "wave of goodness." The P-wave, seismology's technical precursor signal, is reinterpreted here as a trigger for collective, prosocial reflexes, extending the societal relevance of seismology beyond its technical boundaries.
This gap matters because early-warning infrastructure is expanding rapidly worldwide, from Mexico's SASMEX to Taiwan's P-Alert network, yet public trust in these systems varies widely and is rarely studied alongside their technical performance. Bridging seismology and disaster sociology within a single analytical frame, this paper contributes to a small but growing literature that treats citizen participation as a parallel signal deserving equal analytical attention.
The P-wave is the first physical signal to arrive after an earthquake. Despite its public association with destruction, it is technically a low-amplitude, high-velocity compressional wave that causes no structural damage; it is the slower, higher-amplitude S-wave that carries most destructive energy. This distinction allows early warning systems to issue a usable window of seconds before the damaging wave arrives, and is why forensic seismology uses P-wave spectral characteristics to distinguish earthquakes from explosions or induced seismicity (Koper et al., 2024).
The analogy also has a temporal dimension worth stating explicitly. Just as the P-wave's window closes within seconds, its social equivalent — the initial burst of neighborly checking-in and information-sharing — is also time-limited; if not channeled into organized response quickly, it tends to dissipate rather than accumulate into sustained recovery capacity.
Citizen seismology platforms convert individual observations into a form of social capital. EMSC's LastQuake and the USGS "Did You Feel It?" system allow individuals to report shaking intensity from their own location, filling instrumental gaps in areas without dense sensor coverage (Bossu et al., 2022; Quitoriano & Wald, 2020). MyShake, developed at UC Berkeley, turns ordinary smartphones into low-cost seismometers (Allen et al., 2020). In Japan, the JMA-based Yurekuru Call issues personalized alerts to millions of users.
This paper models these contributions through a triage analogy adapted from hospital emergency protocols: citizen reports and instrumental ground-motion data (PGA) are jointly classified into red (high-impact), green (low-impact), and grey (uncertain) zones, allowing responders to prioritize where to intervene first.
Beyond MyShake and LastQuake, region-specific tools such as Mexico's SkyAlert and Taiwan's P-Alert app show that this citizen-data layer is an emerging global norm in earthquake-prone regions, not a niche feature of a few well-resourced research programs.
The 6 February 2023 Kahramanmaraş earthquakes illustrate both the promise and the limits of this integration. Theoretical P-S lead times ranged from about 11 seconds (Gaziantep, 80 km) to roughly 60 seconds (Sivas, 450 km); in several affected provinces, actual warning time fell below 3 seconds due to infrastructure and data-latency gaps. Despite this shortfall, neighborhood-level solidarity networks mobilized rapidly, consistent with Putnam's (2000) account of social capital and Aldrich and Meyer's (2015) post-disaster observations.
A further point of comparison lies in institutional memory. Japan's post-Kobe reforms were sustained over three decades through dedicated funding lines and mandatory school drills, whereas Türkiye's investment in early warning has historically been more project-based and vulnerable to funding discontinuities.
| Province | Distance (km) | Theoretical lead time (s) |
|---|---|---|
| Gaziantep | 80 | ≈ 11 |
| Malatya | 160 | ≈ 21 |
| Diyarbakır / Mersin | 250 | ≈ 33 |
| Sivas | 450 | ≈ 60 |
Table 1. Theoretical P–S lead times for the 6 February 2023 Kahramanmaraş earthquake by epicentral distance (±2 s). Japan's JMA and Türkiye's AFAD offer a useful comparison: Japan's system is more deeply integrated with public awareness, a legacy partly traceable to the 1995 Kobe earthquake.
This study has reframed the P-wave, a purely technical seismological signal, as a metaphor for the earliest, non-destructive indicator of a much larger prosocial response. Citizen seismology, triage-based classification, and social capital theory together show that disaster response works best when physical precursor signals and social precursor reflexes are treated as a single, integrated system.
For future work, four directions appear most promising: (1) testing whether the "wave of goodness" metaphor generalizes to other hazard types; (2) comparing how cultural context shapes prosocial response; (3) evaluating the ethics of AI-assisted early warning; and (4) integrating citizen seismology with post-disaster psychological-recovery indicators.
Treating the P-wave not only as an engineering signal but as an ethical call to collective action is, this paper argues, a legitimate and necessary extension of seismology's public mission.
A further avenue worth noting is comparative work across seismically active regions with differing levels of institutional trust, since the same citizen seismology tools may generate very different collective responses depending on local social capital.
Data and Resources
EMSC LastQuake, MyShake, USGS ShakeMap/DYFI, AFAD strong-motion stations — all publicly available, no new data collected.
Declaration of Competing Interests
The authors declare no competing interests.
Acknowledgments
Based on a presentation delivered at a book panel held on 30 November 2024.
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