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101.
1999年台湾7.6级大震与江苏-南黄海地区中强震预测 总被引:1,自引:1,他引:1
分析讨论了台湾地区7级大震与本区中强震之间相关关系,指出1999年台湾7.6级大震后2-3年内,本区将有5-6级中强震发生。同时应用可公度模型和“带头地震”的异年倍九法联合对本区中强震发震时间进行分析预测。结论表明,该方法可以较好地应用于本区短临地震预报实践。 相似文献
102.
企业地震预警系统应用研究 总被引:8,自引:1,他引:8
在充分调研国外地震预警系统现状的基础上,进行了地震预警系统的研究,研制了相应的数据分析软件。采用数字化观测技术、GIS技术等高新技术,在中国石油天然气股份有限公司大连分公司建立了地震预警试验系统,并将该地震预警系统与地震应急系统相连,为今后开展类似工作积累了经验。 相似文献
103.
2001年云南澜沧5.0、施甸5.2,5.9,5.3、宁蒗5.8、楚雄5.3和江川5.1级地震前,云南49项水氡前兆中的一些台站出现突出的异常。研究发现,根据这些异常项的异常特征和空间分布特征及历史震例,可对这几次地震预报的三要素,尤其是地点和时间做出较好的判断。 相似文献
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Chai Chizhang Zhang Wenxiao Liao Yuhu Xu Wenjun Shen Xuhui Tian Qinjian Wei Kaibo Chen Zhengwei 《中国地震研究》2002,16(1):60-70
Based on the fitting on paleoearthquake data of intra-plate regions in the northern part of Chi-na and giving a statistical model of time interdependence,the potential damage earthquakes in a definite future period and characteristics of present shocks along the Lingwu fault have been analyzed by using dangerous probability function and some new data concerned.We have in-ferred that the fault has entered a period that earthquakes will probably occur.There exists a potential danger that a strong earthquake with Ms7.0-7.5 will occur in 10-100a. 相似文献
106.
This paper describes briefly the recent advances and acievements of the research projects conducted by the Institute of Engineering Mechanics(IEM) in the period of the Ninth Five-Year Plan(1995-2000) with the support of the China Seismological Bureau(CSB),These projects are related with key problems in the field of earthquake engineering.They are:development of the methods for determining earthquake resistant design load level,study on mechanisms of earthquake damage to buildings.development of new technology of base isolation,and study on earthquake damage prediction and seismic losss assessment methods.Through these studies,quite a number of problems have een solved and some of them have een applied in earthquake engineering design and practice. 相似文献
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According to the principle of the eruption of debris flows, the new torrent classification techniques are brought forward. The torrent there can be divided into 4 types such as the debris flow torrent with high destructive strength, the debris flow torrent, high sand-carrying capacity flush flood torrent and common flush flood by the techniques. In this paper, the classification indices system and the quantitative rating methods are presented. Based on torrent classification, debris flow torrent hazard zone mapping techniques by which the debris flow disaster early-warning object can be ascertained accurately are identified. The key techniques of building the debris flow disaster neural network (NN)real time forecasting model are given detailed explanations in this paper, including the determination of neural node at the input layer, the output layer and the implicit layer, the construction of knowledge source and the initial weight value and so on. With this technique, the debris flow disaster real-time forecasting neural network model is built according to the rainfall features of the historical debris flow disasters, which includes multiple rain factors such as rainfall of the disaster day, the rainfall of 15 days before the disaster day, the maximal rate of rainfall in one hour and ten minutes. It can forecast the probability, critical rainfall of eruption of the debris flows, through the real-time rainfall monitoring or weather forecasting. Based on the torrent classification and hazard zone mapping, combined with rainfall monitoring in the rainy season and real-time forecasting models, the debris flow disaster early-warning system is built. In this system, the GIS technique, the advanced international software and hardware are applied, which makes the system′s performance steady with good expansibility. The system is a visual information system that serves management and decision-making, which can facilitate timely inspect of the variation of the torrent type and hazardous zone, the torrent management, the early-warning of disasters and the disaster reduction and prevention. 相似文献