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地震趋势区划结构自适应模型 被引量:6

Adaptive Structure Model of Earthquake Trend Regionalization
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摘要 简要地回顾了现有的地震区划方法,针对综合概率法需要进一步解决的“地震活动性时空不均匀性”问题,提出了包括趋势项、周期项、随机项和白噪声项等内容的结构模型及用于模型选择的指标系统。在结构模型中,不同的项用自适应等不同方法进行标定,其和就是震级上限的预报值。为了获得震害要素的空间扩散参数,建立了大型的中国历史地震灾情信息系统(2300B.C.~A.D.1990)。利用求得的震级上限值及空间扩散参数,求出场点的具有某种超越概率的烈度值(Pmax)或最大概率最大烈度值(Imax)。 This paper reviews the methods of seismic regionalization, and directed against the problems of inhomogeneity of seismicity in space-time distribution of earthquake,which need to be further solved for the method of comprehensive probability, and has put forward an adaptive structure model with earthquake trend, seismic cycles, stochastic,noise, etc., and a index system to make choice of model. In this adaptive structure model,it has been demarcated by different methods such as adaptive algorithm for the distinct items. To obtain every spacial diffusion parameter of earthquake damage elements, an information system of historical seismic disasters (2300 B. C. to A. D. 1980) has been set up. By means of the value of upper limit of magnitude of earthquakes and the spacial diffusion parameters that have been solved, the intensity value (Pmax) with some transcendental probability or the muximum intensity value with maximum probability (Imax) can be obtained.
出处 《中国地震》 CSCD 北大核心 1996年第A00期78-88,共11页 Earthquake Research in China
基金 国家地震局85070102课题 国家85攻关专题 奥地利科学基金 欧共体联合研究中心(空间统计动力学课
关键词 地震区划 概率评估 自适应模型 地震危险性 Transcendental probability evaluation, Selfadaption, Seismic risk analysis, Intensity evaluation, Information structure distingration
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  • 1王劲峰,武继磊,孙英君,李连发,孟斌.空间信息分析技术[J].地理研究,2005,24(3):464-472. 被引量:45
  • 2高彦春.区域水资源供、需协调评价的初步研究[J].地理学报,1997,52(2):163-168. 被引量:18
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  • 5王劲峰 HainingRandWiseS.Sampling design for monitoring drought flood and earthquake in China .自然科学进展,1999,9(4):336-345.
  • 6王劲峰 刘昌明 王智勇 etal.A marginal revenue equilibrium model for spatial water allocation .中国科学 D辑,2001,31(5):422-427.
  • 7Lars Brabyn and Chris Skelly. Modeling population access to New Zealand public hospitals[J]. International Journal of Health Geographics,2002,(1): 1~9.
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