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Simulation of the Load-Unload Response Ratio and Critical Sensitivity in the Lattice Solid Model 总被引：4，自引：0，他引：4
— The Load-Unload Response Ratio (LURR) method is an intermediate-term earthquake prediction approach that has shown considerable promise. It involves calculating the ratio of a specified energy release measure during loading and unloading where loading and unloading periods are determined from the earth tide induced perturbations in the Coulomb Failure Stress on optimally oriented faults. In the lead-up to large earthquakes, high LURR values are frequently observed a few months or years prior to the event. These signals may have a similar origin to the observed accelerating seismic moment release (AMR) prior to many large earthquakes or may be due to critical sensitivity of the crust when a large earthquake is imminent. As a first step towards studying the underlying physical mechanism for the LURR observations, numerical studies are conducted using the particle based lattice solid model (LSM) to determine whether LURR observations can be reproduced. The model is initialized as a heterogeneous 2-D block made up of random-sized particles bonded by elastic-brittle links. The system is subjected to uniaxial compression from rigid driving plates on the upper and lower edges of the model. Experiments are conducted using both strain and stress control to load the plates. A sinusoidal stress perturbation is added to the gradual compressional loading to simulate loading and unloading cycles and LURR is calculated. The results reproduce signals similar to those observed in earthquake prediction practice with a high LURR value followed by a sudden drop prior to macroscopic failure of the sample. The results suggest that LURR provides a good predictor for catastrophic failure in elastic-brittle systems and motivate further research to study the underlying physical mechanisms and statistical properties of high LURR values. The results provide encouragement for earthquake prediction research and the use of advanced simulation models to probe the physics of earthquakes. 相似文献
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地震临界区域尺度的界定对于地震前兆研究有着重要意义。通过加卸载响应比(LURR)及震前矩张量加速释放(AMR)两种模型对地震临界区域尺度进行了分析。采用不同半径区域内地震事件的Benioff应变分别计算LURR和AMR时间序列,震前引起时间序列异常变化最明显的半径尺度所定义的区域就是最佳地震临界区域。华北地区M>5震例研究结果显示两种模型所得到的最佳地震临界区域具有明显的一致性,最佳临界区域半径与主震震级之间统计的线性关系斜率约为0.34～0.36。研究结果表明通过不同预测模型可以较为定量的评价地震临界区域尺度,从而为地震预测研究提供依据。 相似文献
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加卸载响应比与应变能加速释放的临界现象讨论 总被引：2，自引：0，他引：2
对发生在中国大陆地区的8次地震, 用不同的区域半径分别进行应变能释放的幂率拟合和加卸载响应比计算, 发现最佳幂率拟合的区域半径与加卸载响应比最大值所对应的区域半径的对数与地震的震级呈线性关系, 且两者具有很好的一致性, 因而认为两者之间可能具有相同的物理机制, 是孕震系统进入临界状态的不同表现形式。 相似文献
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The Newest Developments of Load-Unload Response Ratio (LURR) 总被引：1，自引：0，他引：1
Xiang-Chu Yin Lang-Ping Zhang Yongxian Zhang Keyin Peng Haitao Wang Zhiping Song Huaizhong Yu Hui-Hui Zhang Can Yin Yucang Wang 《Pure and Applied Geophysics》2008,165(3-4):711-722
The Load Unload Response Ratio (LURR) method is an intermediate-term earthquake prediction approach that has shown considerable promise. It is inspiring that its predictions using LURR have been improving. Since 2004 we have made a major breakthrough in intermediate-term earthquake forecasting of the strong earthquakes on the Chinese mainland using LURR and successfully predicted the Pakistan earthquake with magnitude M 7.6 on October 8, 2005. The causes for improving the prediction in terms of LURR have been discussed in the present paper. 相似文献
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LURR's Twenty Years and its Perspective 总被引：4，自引：0，他引：4
Xiang-Chu Yin Lang-Ping Zhang Hui-Hui Zhang Can Yin Yucang Wang Yongxian Zhang Keyin Peng Haitao Wang Zhiping Song Huaizhong Yu Jiancang Zhuang 《Pure and Applied Geophysics》2006,163(11-12):2317-2341
Seismogenic process is a nonlinear and irreversible one, so that the response to loading of a seismogenic zone is different from the unloading one. This difference reflects quantitatively the process of an earthquake preparation. A physics-based new parameter-Load/Unload Response Ratio (LURR) was proposed to measure quantitatively the proximity to a strong earthquake and then used to be an earthquake predictor. In the present paper, a brief history of LURR is recalled; inspection of real earthquake cases, numerical simulations and laboratory studies of LURR, prediction efforts in terms of LURR, probability problem of LURR and its prospect are also expatiated. 相似文献
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加卸载响应比(LURR)的基本思路是希望能够通过刻画震源区介质的损伤程度,反映地震孕育的进程,从而预测地震.近30年来,很多人对加卸载响应比做了大量基础研究,取得了一系列新的进展.加卸载响应比在地震预测实践中也取得了一定的效果,异常区与地震发生的位置有较好的对应性,但是预测效果仍不够理想.究其原因主要是:在实际预测中对当地的地球物理情况考虑的不够.本文采用量纲分析与加卸载响应比结合的方法,综合考虑当地的地球物理情况,例如剪应变率和平均地震波能量等因素的影响.文中选取1970年以来发生在中国大陆的34个震例资料,通过分析得到了与发震震级和时间相关的无量纲量π1和π3,根据对实际数据的拟合,π1和π3均与震级成指数关系.在应用于地震预测实践时,首先根据LURR空间扫描结果选取异常区,然后确定异常区的地球物理参数,通过π1确定震级M,再由π3确定发震时间T. 相似文献
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Yucang Wang Can Yin Peter Mora Xiang-chu Yin Keyin Peng 《Pure and Applied Geophysics》2004,161(11-12):2281-2293
— The Accelerating Moment Release (AMR) preceding earthquakes with magnitude above 5 in Australia that occurred during the last 20 years was analyzed to test the Critical Point Hypothesis. Twelve earthquakes in the catalog were chosen based on a criterion for the number of nearby events. Results show that seven sequences with numerous events recorded leading up to the main earthquake exhibited accelerating moment release. Two occurred near in time and space to other earthquakes preceded by AMR. The remaining three sequences had very few events in the catalog so the lack of AMR detected in the analysis may be related to catalog incompleteness. Spatio-temporal scanning of AMR parameters shows that 80% of the areas in which AMR occurred experienced large events. In areas of similar background seismicity with no large events, 10 out of 12 cases exhibit no AMR, and two others are false alarms where AMR was observed but no large event followed. The relationship between AMR and Load-Unload Response Ratio (LURR) was studied. Both methods predict similar critical region sizes, however, the critical point time using AMR is slightly earlier than the time of the critical point LURR anomaly. 相似文献
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为了探索地震预报的新途径，本文分析了各种现有主要地震前兆。尽管它们在地震预报工作中曾经起过并且今后还将继续起着重要作用，但是，这些前兆与地震的发生都不存在唯一性的对应关系。这表明，到目前为止，还没有找出这些地震前兆和地震孕育过程之间真正内在的本质联系。本文从震源介质的固有特征及非线性系统不稳定性问题的本质出发，借鉴经典力学中的量纲分析与现代信息论的概念，提出了一个表征孕震系统不稳定性逼近程度的新的无量纲参数Ｙ，称之为ＬＵＲＲ（加载／卸载响应比）。ＬＵＲＲ定义为式中，Ｘ＋和Ｘ－分别是孕震系统在加载和卸载时的响应率。 相似文献
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加卸载响应比是一种中短期地震预测方法.按照该方法,通常在大地震发生之前加卸载响应比时间序列会出现明显的异常高值.早先的研究发现,震前临界区域的选择对加卸载响应比的计算有很大影响.我们发展了一种使用震前应力积累区域取代传统圆形区域计算加卸载响应比的算法,提高了加卸载响应比的地震预测能力,其震前库仑应力场分布采用地震断层位错模型将同震滑移量反向滑移的方法计算.美国南加州近20年来发生的4次M6.5地震以及2008年中国汶川MS8.0地震的研究事实表明,使用库仑应力算法得到的加卸载响应比时间序列,前兆变化相对于圆形区域算法更为明显,且对目标地震的位置、震级预测更为明确.库仑应力算法的这一独特性质,使我们可以针对不同地区的活动构造特征对未来地震发生的地点和大小提供信息和约束. 相似文献
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--It has been argued that power-law time-to-failure fits for cumulative Benioff strain and an evolution in size-frequency statistics in the lead-up to large earthquakes are evidence that the crust behaves as a Critical Point (CP) system. If so, intermediate-term earthquake prediction is possible. However, this hypothesis has not been proven. If the crust does behave as a CP system, stress correlation lengths should grow in the lead-up to large events through the action of small to moderate ruptures and drop sharply once a large event occurs. However this evolution in stress correlation lengths cannot be observed directly. Here we show, using the lattice solid model to describe discontinuous elasto-dynamic systems subjected to shear and compression, that it is for possible correlation lengths to exhibit CP-type evolution. In the case of a granular system subjected to shear, this evolution occurs in the lead-up to the largest event and is accompanied by an increasing rate of moderate-sized events and power-law acceleration of Benioff strain release. In the case of an intact sample system subjected to compression, the evolution occurs only after a mature fracture system has developed. The results support the existence of a physical mechanism for intermediate-term earthquake forecasting and suggest this mechanism is fault-system dependent. This offers an explanation of why accelerating Benioff strain release is not observed prior to all large earthquakes. The results prove the existence of an underlying evolution in discontinuous elasto-dynamic systems which is capable of providing a basis for forecasting catastrophic failure and earthquakes. 相似文献
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加卸载响应比（LURR）方法是通过固体潮加卸载过程中的某一物理参数的响应差异探查区域应力场演化。本文将这一方法应用于2019年6月17日四川长宁MS6.0地震,根据LURR时序演化探查震源区介质的应力状态变化,提取可能的震前异常信息。首先采用贝尼奥夫应变作为响应量计算LURR,通过固体潮在地震断层面的最优滑动方向上引起的库仑破坏应力变化来判断加载还是卸载,结果显示LURR值自2018年年初开始快速增加并在2018年年中达到峰值,此后异常持续至地震。在此基础上对该地区的大地形变和地下井水位资料进行了LURR分析,发现水富水平摆倾斜仪的东西和南北分量在LURR出现异常的同期发生明显偏转,而地震周边的地下井水位高值变化过程与长宁地震也有较好的对应关系。研究表明在长宁地震发生前,存在地震活动和地下水位的LURR异常,且异常时间与水富倾斜同步,暗示震源区介质存在明显的应力积累过程。 相似文献
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-- Rupture in the heterogeneous crust appears to be a catastrophe transition. Catastrophic rupture sensitively depends on the details of heterogeneity and stress transfer on multiple scales. These are difficult to identify and deal with. As a result, the threshold of earthquake-like rupture presents uncertainty. This may be the root of the difficulty of earthquake prediction. Based on a coupled pattern mapping model, we represent critical sensitivity and trans-scale fluctuations associated with catastrophic rupture. Critical sensitivity means that a system may become significantly sensitive near catastrophe transition. Trans-scale fluctuations mean that the level of stress fluctuations increases strongly and the spatial scale of stress and damage fluctuations evolves from the mesoscopic heterogeneity scale to the macroscopic scale as the catastrophe regime is approached. The underlying mechanism behind critical sensitivity and trans-scale fluctuations is the coupling effect between heterogeneity and dynamical nonlinearity. Such features may provide clues for prediction of catastrophic rupture, like material failure and great earthquakes. Critical sensitivity may be the physical mechanism underlying a promising earthquake forecasting method, the load-unload response ratio (LURR). 相似文献
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Huai-zhong Yu Jia Cheng Xiao-tao Zhang Lang-ping Zhang Jie Liu Yong-xian Zhang 《Pure and Applied Geophysics》2013,170(1-2):173-183
Prior to an earthquake, natural seismicity is correlated across multiple spatial and temporal scales. Many studies have indicated that an earthquake is hard to accurately predict by a single time-dependent precursory method. In this study, we attempt to combine four earthquake prediction methods, i.e. the Pattern Informatics (PI), Load/Unload Response Ratio (LURR), State Vector (SV), and Accelerating Moment Release (AMR) to estimate future earthquake potential. The PI technique is founded on the premise that the change in the seismicity rate is a proxy for the change in the underlying stress. We first use the PI method to quantify localized changes surrounding the epicenters of large earthquakes to objectively quantify the anomalous areas (hot spots) of the upcoming events. Next, we delineate the seismic hazard regions by integrating with regional active fault zones and small earthquake activities. Then, we further evaluate the earthquake potential in the seismic hazard regions using the LURR, SV and AMR methods. Retrospective tests of this new approach on the large earthquakes (M > 6.5) which have occurred in western China over the last 3 years show that the LURR and SV time series usually climb to an anomalously high peak months to years prior to occurrence of a large earthquake. And, the asymptote time, t c, “predicted” by the AMR method correspond to the time of the actual events. The results may suggest that the multi-methods combined approach can be a useful tool to provide stronger constraints on forecasts of the time and location of future large events. 相似文献
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2012年天津地区三次地震前水位对固体潮振幅响应计算分析 总被引：2，自引：0，他引：2
2012年在天津及其周边地区发生了唐山4.8级, 宝坻4.0级和宝坻3.5级三次地震。 本文收集整理了天津地区固体潮反映较好的宝坻井、 王3井、 高村井以及张道口井2012年的水位观测数据和气压数据。 采用卷积回归和多项式拟合方法, 对水位观测数据进行气压效应及趋势项的去除, 并对水位数据进行数字滤波处理, 增强水位固体潮信号。 在对数据进行以上有效预处理后, 采用类似于Nakai拟合模型, 以每两天数据为一组, 分别对不同窗口长度滤波处理后的水位数据进行体应变固体潮响应振幅因子比的计算。 计算结果表明, 三次地震前比值均出现明显高值变化。 经比较当窗长选取96 h和120 h进行滤波时计算效果最为明显, 其异常成组出现, 并且变化幅度较大。 由以上这四口井水位对固体潮响应振幅因子比在三次地震发生前后的变化分析, 地震前由于应力的积累, 比值会出现高值变化, 小震活动对应力的积累具有缓解释放作用, 并且结合地震活动以及震源机制解可以对应力的积累-释放过程有一定的了解与印证。 相似文献
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A new approach to earthquake prediction: The Load/Unload Response Ratio (LURR) theory 总被引：22，自引：0，他引：22
Xiang-Chu Yin Xue-zhong Chen Zhi-ping Song Can Yin 《Pure and Applied Geophysics》1995,145(3-4):701-715
The response to loading is different from that to unloading when the focal media is approaching instability. The ratio of the response rate during loading to that during unloading, called Load/Unload Response RatioY (LURR), could be a measure of the closeness degree to instability and is used in a new approach to earthquake prediction. Retrospective examination of some one hundred earthquake cases (fromM 4 toM 8.6) indicates that for more than 80% of the examined ones, the value ofY is much higher than 1 for a period before the main shock, but theY value always fluctuates slightly about 1 during two decades for seven stable regions, so that the parameterY value always fluctuates slightly degree of an impending earthquake. Several earthquakes occurring on the Chinese mainland in recent years as well as the Northridge California, U.S.A. earthquake (Jan. 17, 1994,M
w
6.7) have been predicted beforehand with this method. 相似文献
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This paper discussed the random distribution of the loading and unloading response ratio(LURR) of different definitions(Y_1～Y_5)using the assumptions that the earthquakes occurfollowing the Poisson process and their magnitudes obey the Gutenberg-Richter law.Theresults show that Y_1～Y_5 are quite stable or concentrated when the expected number of eventsin the calculation time window is relatively large(>40);but when this occurrence ratebecomes very small,Y_2～Y_5 become quite variable or unstable.That is to say,a high value ofthe LURR can be produced not only from seismicity before a large earthquake,but also from arandom sequence of earthquakes that obeys a Poisson process when the expected number ofevents in the window is too small.To check the influence of randomness in the catalogue tothe LURR,the random distribution of the LURR under Poisson models has been calculated bysimulation.90%,95% and 99% confidence ranges of Y_1 and Y_3 are given in this paper,which is helpful to quantify the random influe 相似文献