Study of Intensity Estimation Method Based on Multi-source Earthquake Disaster Information Fusion
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摘要: 地震烈度分布信息是进行科学救灾的依据,目前常用的烈度判定方法尚不能很好地兼顾准确性和效率。近年来,地震灾情信息快速获取手段的不断丰富,使得短时间内快速获取海量地震灾情信息成为可能。根据地震烈度标准和现场调查规范,采用信息融合技术将这些迅速汇集的多源地震灾情信息形成有机整体,据此快速判定地震烈度,可以有效地解决烈度判定的准确性与效率兼顾的问题。通过分析四川省地震灾情快速上报接收处理系统中灾情信息的内容和分级,建立多源地震灾情信息与烈度之间的对应关系,并以该系统在“4.20芦山7.0级强烈地震”中获取到的多源灾情信息为例,运用融合后的多源地震灾情信息进行烈度判定。结果显示,判定结果与实际科考烈度圈基本一致。Abstract: The seismic intensity distribution information is the basis of scientific disaster relief, but the accuracy and efficiency of the current commonly used intensity determination methods are mutually exclusive. In recent years, with the rapid earthquake information acquisition means continuously enriched, more and more disaster information quickly collection became possible after the earthquake. According to seismic intensity standard and site investigate norms, this multi-source disaster information can form an organic whole through information fusion technology, and fast determination of intensity can be realized accordingly, thus consideration will be given to both accuracy and efficiency of intensity determination. In this paper, correspondence between the multi-source disaster information and the earthquake intensity is established in the base of disaster information analysis of Sichuan earthquake disaster information fast acquisition and analytical processing system. Then take the multi-source disaster information which were obtained immediately after "4.20 Lushan M7.0 strong earthquake" by Sichuan earthquake disaster information fast acquisition and analytical processing system for example, intensity is judged based on disaster information fusion, and the result is in agreement with the real intensity distribution.
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[1] 胡素平,帅向华.网络地震灾情信息智能处理模型与地震烈度判定方法研究[J].震灾防御技术,2012,7(4):420-430. [2] 王德才,倪四道,李俊.地震烈度快速评估研究现状与分析[J].地球物理学进展,2013,进展,2013,28(4):1772-1784. [3] 陈维锋,郭红梅,张翼,等.四川省地震灾情快速上报接收处理系统[J].灾害学,2014,29(2):116-122. [4] 章熙海,宋法奇,胡晓荣.基于PDA的地震灾情信息流动采集系统的设计与实现[J].地震,2014,34(2):131-137. [5] 徐敬海,聂高众,刘伟庆,等.多源异构地震灾情分类与编码研究[J].灾害学,2010,25(zl):286-290. [6] 潘泉,于昕,程咏梅.信息融合理论的基本方法与进展[J].自动化学报,2003,29(4):599-615. [7] 韦勇,连一峰,冯登国.基于信息融合的网络安全态势评估模型[J].计算机研究与发展,2009,46(3):353-362. [8] AndréAyoun,PhilippeSmets.Data association in multi-target detection using the transferable belief model[J].Int.J.Intell. Syst,2001(10). [9] GB/T 17742-2008,中国地震烈度表[S].北京:地震出版社,2008. [10] GB/T 18208.3-2011,地震现场工作第3部分——调查规范[S].北京:地震出版社,2011. [11] 李建亮,赵晶,何玉林.关于芦山7.0级强烈地震烈度图的思考[J].四川建筑科学研究,2014,40(4):224-226. -

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