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1.
利用中国地震台网中心提供的1970—2019年8月全国地震目录,在分析青藏块体最小完备震级的基础上,应用PI算法,选取空间网格尺度0.2°×0.2°,截止震级为ML3.0,目标震级≥MS6.0,预测时间窗设定为10 a、5 a、3 a不同时间尺度进行回溯性研究,并对预测结果进行ROC检验。结果表明,预测时间窗内的强震基本发生在PI算法所得异常区域附近,且预测结果明显优于随机概率法;PI算法对青藏块体中长时间尺度的强震具有一定的预测效能,而且将预测时间窗设定为3 a时,预测效能较好。此外,定性分析了活动块体边界带“目标”地震与地震热点丛集间的关系,发现青藏块体MS≥6.0地震与活动块体边界带地震热点间的对应关系较好。在实际应用中,将PI算法计算结果与活动块体边界带结合起来考虑强震相对危险区域时,该研究结果具有一定的参考价值。 相似文献
2.
In this paper, the extent to which some improvement can be made in seismicity-based earthquake forecasting methods are examined. Two methods that employ the statistics and locations for past smaller earthquakes to determine the location of future large earthquakes, the pattern informatics (PI) index and the Benioff relative intensity (RI), are employed for both global and regional forecasting. Two approaches for forecast parameter estimation, the TM metric and threshold optimization, are applied to these methods and the results evaluated. Application of the TM metric allows for estimation of both the training and forecast time intervals as well as the minimum magnitude cutoff and spatial discretization. The threshold optimization scheme is employed in order to formulate a binary forecast that maximizes the Pierce’s skill score. The combined application of these techniques is successful in forecasting those large events that occurred in Haiti, Chile, and California in 2010, on both global and regional scales. 相似文献
3.
K. Z. Nanjo J. B. Rundle J. R. Holliday D. L. Turcotte 《Pure and Applied Geophysics》2006,163(11-12):2417-2432
Pattern Informatics (PI) technique can be used to detect precursory seismic activation or quiescence and make an earthquake forecast. Here we apply the PI method for optimal forecasting of large earthquakes in Japan, using the data catalogue maintained by the Japan Meteorological Agency. The PI method is tested to forecast large (magnitude m ≥ 5) earthquakes spanning the time period 1995–2004 in the Kobe region. Visual inspection and statistical testing show that the optimized PI method has forecasting skill, relative to the seismic intensity data often used as a standard null hypothesis. Moreover, we find in a retrospective forecast that the 1995 Kobe earthquake (m = 7.2) falls in a seismically anomalous area. Another approach to test the forecasting algorithm is to create a future potential map for large (m ≥ 5) earthquake events. This is illustrated using the Kobe and Tokyo regions for the forecast period 2000–2009. Based on the resulting Kobe map we point out several forecasted areas: The epicentral area of the 1995 Kobe earthquake, the Wakayama area, the Mie area, and the Aichi area. The Tokyo forecast map was created prior to the occurrence of the Oct. 23, 2004 Niigata earthquake (m = 6.8) and the principal aftershocks with 5.0 ≤ m. We find that these events were close to in a forecasted area on the Tokyo map. The PI technique for regional seismicity observation substantiates an example showing considerable promise as an intermediate-term earthquake forecasting in Japan. 相似文献
4.
We examined forecasting quiescence and activation models to obtain the conditional probability that a large earthquake will occur in a specific time period on different scales in Taiwan. The basic idea of the quiescence and activation models is to use earthquakes that have magnitudes larger than the completeness magnitude to compute the expected properties of large earthquakes. We calculated the probability time series for the whole Taiwan region and for three subareas of Taiwan—the western, eastern, and northeastern Taiwan regions—using 40 years of data from the Central Weather Bureau catalog. In the probability time series for the eastern and northeastern Taiwan regions, a high probability value is usually yielded in cluster events such as events with foreshocks and events that all occur in a short time period. In addition to the time series, we produced probability maps by calculating the conditional probability for every grid point at the time just before a large earthquake. The probability maps show that high probability values are yielded around the epicenter before a large earthquake. The receiver operating characteristic (ROC) curves of the probability maps demonstrate that the probability maps are not random forecasts, but also suggest that lowering the magnitude of a forecasted large earthquake may not improve the forecast method itself. From both the probability time series and probability maps, it can be observed that the probability obtained from the quiescence model increases before a large earthquake and the probability obtained from the activation model increases as the large earthquakes occur. The results lead us to conclude that the quiescence model has better forecast potential than the activation model. 相似文献
5.
We have applied a variation of the Epidemic Type Aftershock Sequence (ETAS) model, which is a stochastic triggering epidemic model incorporating short-term clustering, to data collected by the New Zealand Seismological Observatory-Wellington (Geonet) for forecasting earthquakes of moderate and large magnitude in the New Zealand region. The model uses earthquake data only, with no explicit use of tectonic, geologic, or geodetic information. In this epidemic-type model every earthquake is regarded, at the same time, as being triggered by previous events and triggering following earthquakes. A maximum likelihood estimate of the model parameters has been performed on the learning period from 1960 to 2005 for earthquakes of magnitude 4.0 and larger. Forecast verification procedures have been carried out in a forward-retrospective way on the January 2006 to April 2008 data set, making use of statistical tools as the log-likelihood ratio, the Relative Operating Characteristics (ROC) diagrams, the Molchan error diagrams, the probability gain and the R-score. These procedures show that the clustering epidemic model achieves a log-likelihood ratio per event of the order of some units, and a probability gain up to several hundred times larger than a time-independent spatially uniform random forecasting hypothesis. The results show also that a significant component of the probability gain is linked to the time-independent spatial distribution of the seismicity used in the model. 相似文献
6.
We present a Bayesian method that allows continuous updating the aperiodicity of the recurrence time distribution of large earthquakes based on a catalog with magnitudes above a completeness threshold. The approach uses a recently proposed renewal model for seismicity and allows the inclusion of magnitude uncertainties in a straightforward manner. Errors accounting for grouped magnitudes and random errors are studied and discussed. The results indicate that a stable and realistic value of the aperiodicity can be predicted in an early state of seismicity evolution, even though only a small number of large earthquakes has occurred to date. Furthermore, we demonstrate that magnitude uncertainties can drastically influence the results and can therefore not be neglected. We show how to correct for the bias caused by magnitude errors. For the region of Parkfield we find that the aperiodicity, or the coefficient of variation, is clearly higher than in studies which are solely based on the large earthquakes. 相似文献
7.
通过对距离和震级的分档将权重引入两步回归法: 第一步, 将地震记录按距离分档, 每个记录得到的权重为w'ij=1/(njni)(其中nj为该记录所在档的地震数, ni为该记录的地震在此档中的记录数), 这种权重的取法不仅使各档的权重相同, 而且保证每档中不同地震在各档中的权重也相同; 第二步, 将地震按震级分档, 每次地震得到的权重为v'k=1/nk(其中nk为该地震所在档的地震数). 以Joyner 和Boore的数据为分析对象进行加权两步法的回归, 并与传统两步法回归的结果进行比较. 结果表明: 传统两步法在近场拟合的小震峰值加速度的估计值偏大, 大震峰值加速度的估计值偏小, 其衰减曲线在远场的衰减速度过快; 而加权两步法则能更好地反映地震动的空间分布规律. 相似文献
8.
以华北地区1980——2010年资料为例,以单位边长的网格覆盖研究区,考察中小地震空间分布非空网格数的变化．网格尺度足够小则非空网格数趋于该时段的地震数,网格尺度足够大则非空网格数为1．实际资料显示,当空间网格尺寸大于0.5deg;之后,对结果稳定性的影响逐渐减弱．中小地震空间分布非空网格数的变化与ldquo;背景rdquo;地震活动的空间扩展（增强）或收缩（平静）有关．不同网格尺寸条件下的非空网格数有基本一致的变化趋势,可能间接反映了区域应力的短时扰动或起伏．小地震有更高的丛集特性,随着震级下限的提高,不同网格尺寸非空网格数之间差异逐渐变小．华北地区小震活动非空网格数的频次分布符合统计正态分布,因而给定置信概率、依据正态分布密度函数可计算非空网格数的ldquo;正常rdquo;分布范围,超出此范围的数据可视为异常．统计显示,就华北地区而言,中小地震非空网格数ldquo;平静rdquo;型异常的预测效率最低,ldquo;增强rdquo;型异常具有最高的报警对应率,而同时考虑ldquo;增强rdquo;及ldquo;平静rdquo;的异常判据则具有最高的预报评分．这也意味着,华北中强地震前以ldquo;增强rdquo;型的中小地震活动异常为主．研究结果还显示,小地震时空活动格局的改变与后续中强地震似乎具有更强的统计关联特性． 相似文献
9.
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
10.
—The recurrence behaviour of large earthquakes, in several tectonic settings, has been explained by simple models of stress accumulation and release which assume that the fault stress state is solely a function of the far-field tectonic strain rate. However, the limited dataset of large event recurrence intervals has been a major obstacle to the verification of these and other models. We present the results from a simple analogue model of earthquake rupture and stick-slip which displays power-law frequency-size statistics and involves many cycles of large events. We show that, despite the macroscopic homogeneity of the model, large events do not conform to simple deterministic time- or slip-predictable patterns. However, when the recurrence intervals for large events are divided by the median recurrence interval, the normalized data are composed of two distinct lognormally distributed populations. One population is characterized by events which are strongly clustered in time with relatively short recurrence intervals and low moment release, the other by events which are weakly clustered in time with median-sized recurrence intervals. It is suggested that the long-term recurrence behaviour of large earthquakes, whilst being non-deterministic, may be modelled by a well-defined statistical distribution of recurrence intervals. 相似文献
11.
Shen Jun Wang Yipeng Song Fangmin Yu Weixian Cao Zhongquan Shen Xuhui Hou Xueying and Li ZhixiangInstitute of Geology SSB Beijing ChinaInstitute of Earthquake Engineering Seismological Bureau of Yunnan Province Kunming China 《中国地震研究》1998,(2)
The data of the strike-slip offset along the Xiaojiang active fault can be obviously grouped.The groups of small orders of magnitude data within 100 m show clear linear characteristics of increments between 8 m and 12 m,which indicates that the segments of the Xiaojiang active fault is of characteristic seismicity and the distribution of the values of each group indicates that there are smaller earthquakes and creep between two large earthquakes along each segment of the Xiaojiang active fault.The interval between two characteristic large earthquakes can be calculated with the increments for two groups of slip data and the slip rate of the fault.Furthermore,the frequency of smaller earthquakes can also be estimated by comparing the distributions of the displacements of the large earthquakes with the distributions of the values of each group of data.The groups of large slip displacements show that there is close relationship between the records of the displacements of the fault and the changes of the cli 相似文献
12.
PI Forecast for the Sichuan-Yunnan Region: Retrospective Test after the May 12, 2008, Wenchuan Earthquake 总被引：1，自引：0，他引：1
The May 12, 2008, Wenchuan M S 8.0/M w 7.9 earthquake occurred in the middle part of the north–south seismic zone in central west China, being one of the greatest thrust events on land in recent years. To explore whether there were some indications of the increase of strong earthquake probabilities before the Wenchuan earthquake, we conducted a retrospective forecast test applying the Pattern Informatics (PI) algorithm to the earthquakes in the Sichuan-Yunnan region since 1992. A regional earthquake catalogue complete to M L 3.0 from 01/01/1977 to 15/06/2008 was used. A 15-year long ‘sliding time window’ was used in the PI calculation, with ‘anomaly training time window’ and ‘forecast time window’ both set to 5 years. With a forecast target magnitude of M S 5.5, the ROC test shows that the PI forecast outperforms not only random guess but also the simple number-counting approach based on the clustering hypothesis of earthquakes (the RI forecast). ‘Hotspots’ can be seen in the region of the northern Longmenshan fault which is responsible for the Wenchuan earthquake. However, when considering bigger grid size and higher cutoff magnitude, such ‘hotspots’ disappear and there is very little indication of an impending great earthquake. 相似文献
13.
In this paper, by means of the statistical analysis method of stochastic spatial point process, statistical analysis of spatial
distribution of earthquakes in the large northern region of China is made. Emphasis is on the test and analysis of the complete
spatial randomness, correlation of earthquake distribution in the different magnitude interval and random labeling. It is
shown by the analysis that the spatial distribution of earthquakes in the large northern region is “clustered”, the distributions
of earthquakes in different magnitude interval are positively correlated and can be modeled by a two-dimensional process.
The results obtained in the paper can be used for the establishment of a reasonable spatial distribution model and have some
application in the reasonable estimation of seismic hazard.
The Chinese version of this paper appeared in the Chinese edition ofActa Seismologica Sinica,15, 129–135, 1993. 相似文献
14.
通过对云南省地震局1989—2006年度地震趋势研究报告中年度预测水平、 危险区圈定和实际发生地震情况等统计分析, 结果显示云南地区每年发生2.8组M≥5地震, 3年发生2组M≥6地震, 发震的自然概率较高, 1989年以来年度地震活动水平预测为M≥6的对应率较高, 达到了56%。 危险区的预测不能用异常数量的多少来判定, 对于M≥6地震, 应用4级地震频度增长显著的区域和高水位异常区域等指标能更好的预测危险区。 5级地震在云南地区有的时候异常出现最多就是2～3个月就发震, 年度很难用异常判断级地震的危险区, 但5级地震也存在10年左右的主体活动地区迁移现象, 利用主体活动地区的特征可以提高5级地震发生区域的预测能力。 年度应重点跟踪M≥6地震, 由于云南地区6级以上地震发生前中小地震活动增长和前兆异常出现后, 对应地震的时间从几个月到3年不等, 但半年尺度前兆异常数量增加显著, 因此在看到地震活动增强后动态跟踪前兆的变化, 采用长、 中、 短、 临渐进式的预报方式, 仍然是目前提高地震预报效能最有效的途径。 相似文献
15.
Forecasting aftershock activity: 1. Adaptive estimates based on the Omori and Gutenberg–Richter laws
The method for forecasting the intensity of the aftershock processes after strong earthquakes in different magnitude intervals is considered. The method is based on the joint use of the time model of the aftershock process and the Gutenberg–Richter law. The time model serves for estimating the intensity of the aftershock flow with a magnitude larger than or equal to the magnitude of completeness. The Gutenberg–Richter law is used for magnitude scaling. The suggested approach implements successive refinement of the parameters of both components of the method, which is the main novelty distinguishing it from the previous ones. This approach, to a significant extent, takes into account the variations in the parameters of the frequency–magnitude distribution, which often show themselves by the decreasing fraction of stronger aftershocks with time. Testing the method on eight aftershock sequences in the regions with different patterns of seismicity demonstrates the high probability of successful forecasts. The suggested technique can be employed in seismological monitoring centers for forecasting the aftershock activity of a strong earthquake based on the results of operational processing. 相似文献
16.
中长期地震预测中的PI算法改进研究及应用 总被引：4，自引：0，他引：4
图像信息学PI(Pattern Informatics)算法是一种基于统计物理学的地震预测新方法, 近年来得到了较大发展。 本文探索把此方法与地震活动性网格点密集值方法相结合, 并尝试用于华北地区中长期地震预测。 在预测中, 使用1970—2011年ML≥3.0区域地震目录, 针对MS≥5.0预测“目标震级”, 采用15年尺度的地震目录滑动时间窗, 均为3年尺度的地震活动“异常学习”时段和“预测时间窗”, 结合一定时空及震级范围内地震的数量和震中分布因素, 进行地震危险性概率计算。 对该方法的预测效果使用Molchan图表法进行统计检验。 结果表明, 此方法在某些方面优于PI算法, 且在地震趋势分析和中长期预测方面有较好的应用潜力。 相似文献
17.
Introduction Yunnan is a very active region of earthquake in China. Since Yunnan Regional Seismological Network established in 1965, 37 years have past and thousands of seismic events have been recorded. Among them, 9 are great earthquakes of M7.0, more than 150 are moderately strong earthquakes of M =5.0~6.9 and about 6 000 are earthquakes of M3.0. Figure 1 shows the epicenter distribution of M3.5 earthquakes occurred in 1965~2002 in Yunnan region and Figure 2 the magnitude-frequency dis… 相似文献
18.
For the Fiji-Tonga-Kermadec area and for the period from January 1977 to July 2003, the Harvard CMT catalogue lists 1022 shallow,
410 intermediate and 633 deep earthquakes of moment magnitude from 4.9 to 8.0. The magnitude threshold, above which the catalogue
is complete, is 5.3–5.4, and the number of earthquakes of magnitude above this value is 691 for shallow, 329 for intermediate
and 476 for deep events, respectively. The proportion of earthquakes associated with doublets and multiplets against the total
number of earthquakes is approximately the same in both data sets and therefore all earthquake pairs were considered regardless
of their magnitude. We investigated all the pairs of earthquakes that occurred at a centroid distance of less than 40, 60
or 90 km from each other and within a time interval of 200, 300 or 450 days, depending on their magnitude. We found 208 pairs
of shallow, 31 of intermediate and 92 of deep events. To ascertain whether these earthquakes in pairs are not connected by
chance, the possibility of their occurrence in an uncorrelated Poissonian catalogue was considered. It was assumed that in
such a catalogue the inter-event time is exponentially distributed, the earthquake magnitude follows the Gutenberg-Richter
relation, and the distribution of centroid distances between the events in pairs is controlled by its non-parametric kernel
estimate. The probability of the appearance of the observed proportion of doublets of shallow earthquakes in the Poissonian
catalogue was found to be very low. The low probability of occurrence in a semi-random catalogue, created by randomising centroid
locations in the actual data set, also indicates major importance of the distance criterion used for a doublet specification.
In general, shallow earthquakes tend to form pairs at shorter distances and within shorter time intervals than deep earthquakes.
Both the distance and the time intervals do not depend on the magnitude of involved events. The largest number of pairs of
deep earthquakes is observed at a depth of about 600 km, and the proportion of deep events associated with doublets against
the number of all events increases with depth. From comparison of the focal mechanism of earthquakes in pairs, measured by
the 3-D rotation angle, it follows that deep earthquakes forming pairs have a more diverse focal mechanism than shallow events;
the rotation angle for three quarters of shallow pairs and only for about one third of deep pairs is reasonably small. The
azimuth between two events forming a doublet is in about 60–65% of cases close to the strike of one of nodal planes of the
first or the second event. 相似文献
19.
选取华北地区１９９０￣１９９８年８月较完整的水氡观测资料,笔者采用ｘ＾２统计检验法识别前兆异常,利用笔者建立的Ｂａｙｅｓ判别分析方法,对该地区水氡异常与中强震活动性的关系进行了内符检验和外推预测。在风险代价比Ｋｄｎ取４的情况下,内符检验的有震报准率ｃ为０．７１,预报占时率ｂ为０．３３,Ｒ值可达０．３８;外推有震报效率ｃ为０．５,时空占有率０．０５,Ｒ值为０．４５,能够正确预测１９９８年１月１０日张 相似文献
20.
在许多地震触发研究案例中,不少学者都利用大地震造成的库仑应力变化研讨其对后续地震的影响,但众多结果中存在的共同规律尚未得到很好的统计与归纳。基于库仑应力变化理论,通过统计多个地震序列与典型事件中库仑应力研究结果,分别从震级,触发距离,触发地震库仑应力变化(ΔCFS)以及触发时间4个方面进行分析。结果表明,静态库仑应力的最优影响范围在5～50 km间,触发地震的应力条件多在0.01～0.4 MPa,触发地震震级与距离和主震震级无明显对应关系;动态触发的作用范围在100～2500 km间,主震震级通常较高,触发地震的震级都小于主震震级,在几个典型远程触发的事件分析中,主震震级与可触发距离呈正相关,但触发次数与其他所分析因素均无关;震后应力转移的三种机制,从理论上合理地解释了长时间尺度延迟触发的现象,但精确计算应力转移的量值可能对库仑应力变化与触发地震之间关系的更合理解释有推动作用,需引起关注。 相似文献