A new approach on seismic mortality estimations based on average population density

Xiaoxin Zhu · Baiqing Sun · Zhanyong Jin

15 citations0/0 files stored地震学报：英文版

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Earthquake and Disaster Impact Studies Disaster Management and Resilience Seismic Performance and Analysis

Abstract

This study examines a new methodology to predict the final seismic mortality from earthquakes in China. Most studies established the association between mortality estimation and seismic intensity without considering the population density. In China, however, the data are not always available, especially when it comes to the very urgent relief situation in the disaster. And the population density varies greatly from region to region. This motivates the development of empirical models that use historical death data to provide the path to analyze the death tolls for earthquakes. The present paper employs the average population density to predict the final death tolls in earthquakes using a case-based reasoning model from realistic perspective. To validate the forecasting results, historical data from 18 large-scale earthquakes occurred in China are used to estimate the seismic morality of each case. And a typical earthquake case occurred in the northwest of Sichuan Province is employed to demonstrate the estimation of final death toll. The strength of this paper is that it provides scientific methods with overall forecast errors lower than 20 %, and opens the door for conducting final death forecasts with a qualitative and quantitative approach. Limitations and future research are also analyzed and discussed in the conclusion.

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References

1993Natural Disasters 2011A logistics model for emergency supply of critical items in the aftermath of a disaster 1992Factors determining human casualty levels in earthquakes: Mortality prediction in building collapse.2011Human Casualties in Earthquakes 2014Relief supply collaboration for emergency logistics responses to large-scale disasters 2013Decision Aid Models and Systems for Humanitarian Logistics. A Survey 2011Immediate Resource Requirements after Hurricane Katrina

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