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Application of a pattern informatics algorithm to forecasting the locations of future major earthquakes along the Sumatra–Andaman Subduction Zone

Author

Listed:
  • Premwadee Traitangwong

    (Chulalongkorn University)

  • Sutthikan Khamsiri

    (Chulalongkorn University)

  • Santi Pailoplee

    (Chulalongkorn University)

Abstract

In this study, the precursory seismic activity before a major earthquake was investigated along the Sumatra–Andaman Subduction Zone (SASZ), using the Pattern Informatics (PI) technique. The earthquake catalogue (1980–2020, Mw 3.3–9.0) was rigorously processed to ensure completeness, then utilized in iterative tests to determine the proper parameters for the PI algorithm. Retrospective tests using nine strong-to-major earthquakes, validated by the Relative Operating Characteristics (ROC) diagram, determined the optimal PI parameters for the SASZ: 10-year time intervals (for both change and forecast windows) and a target earthquake magnitude of Mw ≥ 6.0. Consequently, to assess the potential areas for future major earthquakes, the most up-to-date earthquake datasets were analyzed by the PI method using these parameters. The present-day results revealed potential future major earthquake locations along the SASZ to be: (i) inland and western offshore of Sumatra Island, (ii) southern and eastern offshore of Nicobar Islands, and (iii) western and southern Myanmar. Hence, urgent action is needed to develop effective plans for mitigating seismic and tsunami hazards.

Suggested Citation

  • Premwadee Traitangwong & Sutthikan Khamsiri & Santi Pailoplee, 2025. "Application of a pattern informatics algorithm to forecasting the locations of future major earthquakes along the Sumatra–Andaman Subduction Zone," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 121(18), pages 22049-22066, November.
  • Handle: RePEc:spr:nathaz:v:121:y:2025:i:18:d:10.1007_s11069-025-07676-4
    DOI: 10.1007/s11069-025-07676-4
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