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101.
为了研究1996年丽江MS7.0地震前地震孕育过程或前兆表现,利用滇西地震实验场内高精度重复重力观测数据,结合地质调查和地球物理推断结果,并考虑到观测数据和模型粗差, 采用稳健或抗差-贝叶斯最小二乘算法和多断层位错模型,首次初步反演获得了研究区主要活动断裂滑动的时间变化分布.结果表明,1990~1997年断层运动的时间变化,较好地反映了1996年丽江MS7.0地震孕育过程.其主要前兆模式图象具有主震余震型特征,遵循地壳内部密度和地壳形变耦合运动模式(简称DD耦合运动模式). 相似文献
102.
GIS中的应用模型及其管理研究 总被引:47,自引:1,他引:47
本文通过对GIS模型库系统的研究,讨论了GIS应用模型的管理及GIS应用模型发展中的若干问题。 相似文献
103.
顾及地块时空特点的地籍数据组织及查询 总被引:2,自引:0,他引:2
通过分析地块变更的时空变化过程,总结出具有父子关系的时态地块的空间相交性和时间相接性特点,归纳出查询这种关系的约束条件。利用扩展时空复合模型和元组时区标记,借助于变更地块的约束条件,设计出查询变更地块的时态链算法。 相似文献
104.
水库地震主震发生时间的预测 总被引:1,自引:2,他引:1
水利工程对水库地震的抗震设防要求事先对水为地震进行预测。预测内容包括蓄水后诱发地震的危险性(可能性、)最大震级、最大震的地占紧及不库地震对场址地震动参数的影响。除主震时间的预测外,本文第一作者都曾提出过初步的预测方法。本文认为,水库地震前震波速比异常、非线性灰色模型以及前震系列回归等方法,是预测主震时间的有前途的方法。 相似文献
105.
地震活动时序谱的涨落统计特征与地震活跃期 总被引:1,自引:0,他引:1
为寻求地震活动演化的统计判据,本文采用多项式拟合法展示地震时序谱之涨落谱,以分维函数法判断最小邻间距(NNS)分布的Poisson性,然后采用MKS无参量法判别涨落谱之统计稳定性,确定NNS分布的转变区,具体研讨了四川、云南若干震区地震活动时序谱的涨落统计分布,发现地震活跃期到来时NNS分布表现出非Poisson化的特征。进一步通过改变和调节时序数据样本集之震级下限,并逐段前推进行统计计算的方式进一步验证结果的可靠性,客观地确定了这些震区地震活动时序涨落谱统计特征的转变期,使根据该统计法判断地震活跃期的方法论渐趋完善。 相似文献
106.
先进的大地电磁资料处理和反演方法在INDEPTH-MT中的应用研究 总被引:2,自引:0,他引:2
简述了包括Robust估计、阻抗张量分解、Rhoplus理论、二维快速松弛反演、静位移校正等一些先进的大地电磁资料处理和反演方法的理论。结合INDEPTH MT实测资料例举了它们的应用效果。提供了一套处理野外资料的系统流程。 相似文献
107.
F. Courboulex J. Virieux A. Deschamps D. Gibert A. Zollo 《Geophysical Journal International》1996,125(3):768-780
We propose a two-step inversion of three-component seismograms that (1) recovers the far-field source time function at each station and (2) estimates the distribution of co-seismic slip on the fault plane for small earthquakes (magnitude 3 to 4). The empirical Green's function (EGF) method consists of finding a small earthquake located near the one we wish to study and then performing a deconvolution to remove the path, site, and instrumental effects from the main-event signal.
The deconvolution between the two earthquakes is an unstable procedure: we have therefore developed a simulated annealing technique to recover a stable and positive source time function (STF) in the time domain at each station with an estimation of uncertainties. Given a good azimuthal coverage, we can obtain information on the directivity effect as well as on the rupture process. We propose an inversion method by simulated annealing using the STF to recover the distribution of slip on the fault plane with a constant rupture-velocity model. This method permits estimation of physical quantities on the fault plane, as well as possible identification of the real fault plane.
We apply this two-step procedure for an event of magnitude 3 recorded in the Gulf of Corinth in August 1991. A nearby event of magnitude 2 provides us with empirical Green's functions for each station. We estimate an active fault area of 0.02 to 0.15 km2 and deduce a stress-drop value of 1 to 30 bar and an average slip of 0.1 to 1.6 cm. The selected fault of the main event is in good agreement with the existence of a detachment surface inferred from the tectonics of this half-graben. 相似文献
The deconvolution between the two earthquakes is an unstable procedure: we have therefore developed a simulated annealing technique to recover a stable and positive source time function (STF) in the time domain at each station with an estimation of uncertainties. Given a good azimuthal coverage, we can obtain information on the directivity effect as well as on the rupture process. We propose an inversion method by simulated annealing using the STF to recover the distribution of slip on the fault plane with a constant rupture-velocity model. This method permits estimation of physical quantities on the fault plane, as well as possible identification of the real fault plane.
We apply this two-step procedure for an event of magnitude 3 recorded in the Gulf of Corinth in August 1991. A nearby event of magnitude 2 provides us with empirical Green's functions for each station. We estimate an active fault area of 0.02 to 0.15 km
108.
109.
Dynamic stochastic estimation of physical variables 总被引:1,自引:0,他引:1
A fundamental problem facing the physical sciences today is analysis of natural variations and mapping of spatiotemporal processes. Detailed maps describing the space/time distribution of groundwater contaminants, atmospheric pollutant deposition processes, rainfall intensity variables, external intermittency functions, etc. are tools whose importance in practical applications cannot be overestimated. Such maps are valuable inputs for numerous applications including, for example, solute transport, storm modeling, turbulent-nonturbulent flow characterization, weather prediction, and human exposure to hazardous substances. The approach considered here uses the spatiotemporal random field theory to study natural space/time variations and derive dynamic stochastic estimates of physical variables. The random field model is constructed in a space/time continuum that explicitly involves both spatial and temporal aspects and provides a rigorous representation of spatiotemporal variabilities and uncertainties. This has considerable advantages as regards analytical investigations of natural processes. The model is used to study natural space/time variations of springwater calcium ion data from the Dyle River catchment area, Belgium. This dataset is characterized by a spatially nonhomogeneous and temporally nonstationary variability that is quantified by random field parameters, such as orders of space/time continuity and random field increments. A rich class of covariance models is determined from the properties of the random field increments. The analysis leads to maps of continuity orders and covariances reflecting space/time calcium ion correlations and trends. Calcium ion estimates and the associated statistical errors are calculated at unmeasured locations/instants over the Dyle region using a space/time kriging algorithm. In practice, the interpretation of the results of the dynamic stochastic analysis should take into consideration the scale effects. 相似文献
110.