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A composite database of casualty-inducing earthquakes in mainland China

Author

Listed:
  • Chaoxu Xia

    (China Earthquake Administration
    China Earthquake Administration)

  • Gaozhong Nie

    (China Earthquake Administration
    China Earthquake Administration)

  • Huayue Li

    (China Earthquake Administration
    China Earthquake Administration
    China Earthquake Networks Center)

  • Xiwei Fan

    (China Earthquake Administration
    China Earthquake Administration)

  • Wenhua Qi

    (China Earthquake Administration
    China Earthquake Administration)

Abstract

Detailed and accurate historical earthquake disaster data are an important basis for understanding the characteristics of earthquake disaster losses and for conducting research on earthquake disaster prevention strategies and post-earthquake emergency rescue work. Due to different project scopes and discrepancies in data accuracy, the currently available databases may contain errors such as missing data or data with low accuracies. In this study, we developed the Mainland China Composite Earthquake causing Casualties Database (MCCEC-DAT), which contains 252 historical earthquake records that span from 1966 to 2021. The database contains earthquake attribute information (earthquake time, location, epicenter latitude and longitude, focal depth, epicentral intensity, etc.), loss information (number of deaths and injuries, building damage ratio, economic loss, cause of death, etc.), and socioeconomic data (population, population density, area of each zone of seismic intensity, mortality rate, etc.). This database also contains the lethality levels generated by this study. These levels are the result of the quantitative evaluation of the overall characteristic levels of the earthquake area. Furthermore, this metric permits the direct comparison of different spatial locations. Based on the results of the statistical analysis, this work shows that the distribution of historical earthquakes in mainland China has obvious spatial and temporal characteristics. Events are mainly distributed throughout the southwest region, and the magnitudes of those events are relatively diverse. The mortality rate is significantly correlated with the building damage ratio and the lethality level. The lethality level can not only facilitate an improved understanding of the comprehensive level of historical earthquake regions, but this metric also provides a quantitative foundation for the comparative analysis of earthquakes between different regions. Furthermore, the database can also provide a foundation for future research, such as research into assessing the loss from earthquake disasters.

Suggested Citation

  • Chaoxu Xia & Gaozhong Nie & Huayue Li & Xiwei Fan & Wenhua Qi, 2023. "A composite database of casualty-inducing earthquakes in mainland China," 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. 116(3), pages 3321-3351, April.
    • Handle: RePEc:spr:nathaz:v:116:y:2023:i:3:d:10.1007_s11069-022-05811-z
    DOI: 10.1007/s11069-022-05811-z
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    References listed on IDEAS

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    1. Stav Shapira & Limor Aharonson-Daniel & Igal Shohet & Corinne Peek-Asa & Yaron Bar-Dayan, 2015. "Integrating epidemiological and engineering approaches in the assessment of human casualties in earthquakes," 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. 78(2), pages 1447-1462, September.
    2. Erfan Firuzi & Kambod Amini Hosseini & Anooshiravan Ansari & Yasamin O. Izadkhah & Mina Rashidabadi & Mohammad Hosseini, 2020. "An empirical model for fatality estimation of earthquakes in Iran," 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. 103(1), pages 231-250, August.
    3. S. Turkan & G. Özel, 2014. "Modeling destructive earthquake casualties based on a comparative study for Turkey," 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. 72(2), pages 1093-1110, June.
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    5. Xing Huang & Huidong Jin, 2018. "An earthquake casualty prediction model based on modified partial Gaussian curve," 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. 94(3), pages 999-1021, December.
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