Guo Kai, Wen Ruizhi, Yang Dake. 2016: Effectiveness evaluation and social benefits analyses on earthquake early warning system. Acta Seismologica Sinica, 38(1): 146-154. DOI: 10.11939/jass.2016.01.015
Citation: Guo Kai, Wen Ruizhi, Yang Dake. 2016: Effectiveness evaluation and social benefits analyses on earthquake early warning system. Acta Seismologica Sinica, 38(1): 146-154. DOI: 10.11939/jass.2016.01.015

Effectiveness evaluation and social benefits analyses on earthquake early warning system

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  • Received Date: April 09, 2015
  • Revised Date: September 19, 2015
  • Published Date: December 31, 2015
  • This paper focuses on the study on the effectiveness of earthquake early warning system and social benefits from the perspective of earthquake early warning system’s reducing the casualties and the economic losses. Based on the calculation results of the annual average occurrence probability of potential earthquakes in each magnitude grade in Lanzhou city and its surrounding areas, we calculated the effective warning time and seismic intensity by using the data from 80 earthquake early warning stations in Lanzhou region. Based on the life-vulnerability model, we calculated the casualties coefficient by the early warning system, and then calculated the economic losses by the macro GDP loss assessment method. The results show that it is crucial for improving the efficiency of earthquake early warning to minimize the scope of blind areas. The construction of earthquake early warning system and the layout of station network should focus on the population density, the economic situation and the probability of earthquake occurrence of the layout areas.
  • 郭凯. 2012. 地震预警系统应用及风险分析[D]. 哈尔滨: 中国地震局工程力学研究所: 61-70.

    Guo K. 2012. Application and Risk Analysis of Earthquake Early Warning System[D]. Harbin: Institute of Engineering Mechanics, China Earthquake Administration: 61-70 (in Chinese).
    李俊. 2009. 以Google Earth为平台, 基于GDP、 人口与场地效应的全球大震损失评估模型[D]. 合肥: 中国科学技术大学: 111-124.

    Li J. 2009. Global Strong Earthquake Loss Estimating Modle Based on GDP, Population and Site Correction in Google Earth[D]. Hefei: University of Science and Technology of China: 111-124 (in Chinese).
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