共查询到19条相似文献，搜索用时 179 毫秒
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根据乌鲁木齐以西地区与强震活动有关的地质、地貌、地球物理等特征,应用cora—3方法对乌鲁木齐以西的潜在震源区进行模式识别,结果表明,容易发生强震的地区主要与断裂及其端点、拐点、交点有关,而且其数目越大判定为强震可能发生地点的概率越大,1943——1989年已发生地震的五个地区,均为未来可能发生强震的地点。 相似文献
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本文研究辽东半岛南部(盖县以南,主要是大连地区及其邻近区)的地质、地貌、地球物理等特征,并对有关特征进行了模式识别.结果表明,本区易发生地震的地点主要与主活动断裂及新生代断陷盆地有关.活动断裂数目愈多,发生中强震的概率就愈大.FH实验,即未来历史实验,结果表明:预报足比较成功的.自1976至1985年中发生了M≥4.0地震的3个地区均被识别为危险地区. 相似文献
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本文研究了青藏高原北部地区强震活动的特征,结果是:地震活跃期为230—250年,平静期为130—150年;喜马拉雅南缘、青藏高原南部地区强震与本区强震明显相关,喜马拉雅南缘与缅甸北部地区发生强震后本区发震的概率分别为87.5%和66.7%;本区7级地震分带交替发生,最先发生的两个6级地震对预测未来7级地震发震地点有一定意义;中强震在8级地震前不活跃,而在7级地震前比较活跃,且青海北部与西部发生6级地震后,甘肃东南部或甘青川交界有5级地震活动。据此判断本区未来10年内存在发生7级强震的危险。 相似文献
4.
在综合分析甘肃省东南部地震地质特征的基础上，利用模式识别方法判定未来地震危险区的可能位置．结果表明，本区易发生地震的地点与全新世断裂强烈活动段相吻合，从而提高了对未来地震危险区判定的可信度 相似文献
5.
甘青地区未来强震危险区的综合判定 总被引：3，自引：0，他引：3
利用甘青地区近年来在活动断裂地质填图,专题研究及地震安全性评价等方面所获得的大量成套的地震地质资料,充分考虑断裂几何学特征、活动性质、活动时代、滑动速率、历史地震及古地震复发间隔、离逝时间等特征的差异,划分出了不同地震危险程度的区段。同时结合该区强震活动的时空特征对甘青地区未来２０年内发生强震的危险区段进行了综合判定,认为本区未来２０年内是强震的多发时期,今后几年内存在发生６级以上甚至７级左右强震的较大危险性。 相似文献
6.
通过地震活动性周期估计、地震活动性层次模型和对大震前地震活动异常分布的分析，研究了帕米尔东北侧地区未来地震危险性以及可能发生强震的地点。研究结果表明：该区未来几年存在着发生7级以上或8级左右地震的危险性，其发震地点可能在帕米尔东北侧的西半部。 相似文献
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根据翁文波信息预测理论,对江苏-南黄海地区强震的信息有序网络结构特性与地震活动分期进行了研究.结果表明,1839~1997年本区已经历了3个强震轮回,从1998年起本区进入新一轮地震平静幕,持续时间可能长达40~50年,在此期间内可能仍有个别5级左右地震发生,但一般不会发生6级或6级以上强震或强震丛,下一次6级强震或强震丛可能发生在2053年或2058年前后. 相似文献
9.
鄂尔多斯地块北缘主要活动断裂晚第四纪强震复发特征 总被引：4，自引：0，他引：4
对鄂尔多斯活动地块北边界主要活动断裂的古地震研究、强震复发特征及异常分析,得到了晚第四纪的62次古地震,其中全新世期间33次.段落、断裂和断裂带3个层次的古地震复发特征有所差别,独立段落的强震序列多数遵循长短间隔复发的特征,而断裂和断裂带的随机或丛集特征更明显。“移动窗口测试”结果表明,色尔腾山山前断裂和乌拉山南缘断裂,随机偶合产生“异常接近/异常长间隔”的概率分别为64.4％和70％,各断裂的段落之间相互作用不明显;而整个断裂带,其概率为26.8％,断裂之间的相互作用明显。这种复发特征可能意味着地块整体运动对强震复发的影响。另外,色尔腾山山前断裂的乌句蒙口-东风村段和大青山山前断裂的土左旗-乌素图、呼和浩特段等3个段落离逝时间已超过平均重复间隔时间,是未来强震最可能发生的地点。 相似文献
10.
用“震源触发-系统响应”孕震模式，分析讨论了新疆1996-1998年成组强震活动前后地震活动图像的时空演化特征，由此定义了“诱发信号震”，进而分析研究了诱发信号震与后续主震的关系，结果表明，强震发生后触发（或引起）的中等地震活动区及边缘很可能是未来强震发生的地点；强震或其强余震发生当天或稍后1天内发生的信号震具有预报意义，信号震发生后，其周围200km范围内3年发生强震的可能性较大，其震级可能比信号震的震级高0.5-2.0，最后对成组强震活动的机理进行了分析和讨论。 相似文献
11.
Alexander A. Soloviev A. I. Gorshkov Anatoly A. Soloviev 《Izvestiya Physics of the Solid Earth》2016,52(6):803-809
For the first time, an attempt is made to apply the data on the lithospheric magnetic anomalies of the Earth for determining the areas prone to strong earthquakes by means of the pattern recognition algorithms. The Caucasian region with the threshold magnitude of the strong earthquakes M0 = 6 is considered. It is established that the data on the lithospheric magnetic anomalies are informative from the standpoint of recognizing the strong earthquake prone areas. Application of these data is promising for solving the similar problems for different seismically active regions. 相似文献
12.
华北平原周边北西向强震地表地震断层及全新世断裂活动特征 总被引：8，自引：0，他引：8
讨论了华北平原周边１９７５年海城地震，１９３７年荷泽地震及１８３０年磁县地震３次强震的地表地震破裂特征以及这３个地区北西向断裂的全新世活动。研究结果表明，尽管这３次强震地表破裂显示较弱，断续分布，仍反映了存在北西向地表破裂带，活动方式呈左旋走滑兼正倾滑。 相似文献
13.
四川地区强震与发震构造几何结构特征关系的探讨 总被引：1，自引：1，他引：1
本文通过近些年来对四川活动断裂与强震关系的研究，初步总结了四川地区强震与发震构造几何结构特征的关系。作者认为：走滑断层的斜列状结构，断层的交叉，大断裂带的末端，断裂上的枢纽、弯曲、转折部位以及断裂带上的横向隆起、拗主其交替部位都可能是发震构造的结构特征，亦是强震易于发生的部位，这对地震危险区域潜在震源区的划分及其地基预报、地震区划和工程区地震安全性评价具有重要的意义。 相似文献
14.
Pattern recognition of seismogenic nodes using Kohonen selforganizing map: example in west and south west of Alborz region 
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下载免费PDF全文 Pattern recognition of seismic and morphostructural nodes plays an important role in seismic hazard assessment. This is a known fact in seismology that tectonic nodes are prone areas to large earthquake and have this potential. They are identified by morphostructural analysis. In this study, the Alborz region has considered as studied case and locations of future events are forecast based on Kohonen Self-Organized Neural Network. It has been shown how it can predict the location of earthquake, and identifies seismogenic nodes which are prone to earthquake of M5.5+ at the West of Alborz in Iran by using International Institute Earthquake Engineering and Seismology earthquake catalogs data. First, the main faults and tectonic lineaments have been identified based on MZ (land zoning method) method. After that, by using pattern recognition, we generalized past recorded events to future in order to show the region of probable future earthquakes. In other word, hazardous nodes have determined among all nodes by new catalog generated Self-organizing feature maps (SOFM). Our input data are extracted from catalog, consists longitude and latitude of past event between 1980-2015 with magnitude larger or equal to 4.5. It has concluded node D1 is candidate for big earthquakes in comparison with other nodes and other nodes are in lower levels of this potential. 相似文献
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龙陵 -澜沧新生断裂带的地震活动具频度高、强度大、周期短等特征 ,并以双震或震群型为主。断裂带由多条次级新生断层组成 ,呈斜列或共轭式展布 ,根据结构、规模、地震活动差异等因素把断裂带划分为 4个一级段、13个二级段 ,其中有 4个二级段又可划分出 8个三级段。历史上发生过大震、强震并有地震断层伴生的断层段为地震破裂单元 ;断裂带上晚第四纪有活动并有古地震事件 ,但无历史地震记载的地段为断层闭锁单元 ;次级断层之间的阶区或连接点为障碍体单元。从地震破裂特征分析 ,断裂带由破裂、闭锁、障碍体单元组成 ,根据地震、古地震、活断层、断层阶区的活动规律 ,断裂带可划分出 9个破裂单元、8个闭锁单元、10个障碍体单元。三者之间呈迁移、触发和转换能量的关系。根据这些关系和地震构造标志 ,对断裂带上未来可能发生大震、强震、中强震的地区分别作了预测。预测的危险区有 9个 ,其中大震区 1个 (永康 -永德地区 ) ,强震区 3个 (马站、石灰窑、酒房-勐混 ) ,中强震区 5个 (下顺江、里仁、大岗山、南明 -澜沧、勐遮 相似文献
16.
A. A. Soloviev A. D. Gvishiani A. I. Gorshkov M. N. Dobrovolsky O. V. Novikova 《Izvestiya Physics of the Solid Earth》2014,50(2):151-168
We present the results of verifying the areas that were detected as prone to strong earthquakes by the pattern recognition algorithms in different regions of the world with different levels of seismicity and, therefore, different threshold magnitudes demarcating the strong earthquakes. The analysis is based on the data presented in the catalog of the U.S. National Earthquake Information Center (NEIC) as of August 1, 2012. In each of the regions considered, we examined the locations of the epicenters of the strong earthquakes that occurred in the region after the publication of the corresponding result. There were 91 such earthquakes in total. The epicenters of 79 of these events (87%) fall in the recognized earthquake-prone areas, including 27 epicenters located in the areas where no strong earthquakes had ever been documented up to the time of publication of the result. Our analysis suggests that the results of the recognition of areas prone to strong earthquakes are reliable and that it is reasonable to use these results in the applications associated with the assessment of seismic risks. The comparison of the recognition for California with the analysis of seismicity of this region by the Discrete Perfect Sets (DPS) algorithm demonstrates the agreement between the results obtained by these two different methods. 相似文献
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H.K. Acharya 《Physics of the Earth and Planetary Interiors》1981,24(1):53-65
The distribution of large shallow earthquakes (magnitude ?5.5) in central Luzon, Philippines, related to the underthrusting of the Eurasian plate, is examined by the technique of pattern recognition. The objective of the study is (1) to forecast restricted zones of seismic activity, (2) to determine geological features which, in combination, are associated with the earthquakes in the environment of subduction, and (3) to determine whether more insight into regional seismicity can be gained by pattern recognition studies than by conventional seismicity studies. It appears from this analysis that large earthquakes occur (a) in a zone between the shallower portion of Manila Trench on its landward side and the belt of volcanoes and (b) on large strike-slip faults in the region such as Verde Island Passage fault and the Philippine fault. In these zones, large earthquakes occur at locations identified by large topographic relief in the vicinity and a high degree of fractured crust. In contrast to characteristics in California and central Asia, the intersection of faults nearby is not a major characteristic for large earthquakes in and near central Luzon. Topography and degree of fractured crust are important characteristics in all areas studied so far. Several earthquakes which are known to have occurred were considered unknown, and control experiments were carried out to determine whether the locations of these earthquakes would be identified as having potential for large earthquakes. The results of control experiments indicate that the pattern recognition technique is fairly successful in spatial forecasting if the known historical record is assumed almost complete for various major zones (85% in this case). It fails to forecast if information is totally lacking about earthquake activity on a tectonic feature. In the present study, a control experiment was able to correctly identify the locations of two of the largest earthquakes known to have occurred in the area. It was better able to identify locations of large earthquakes than a simple contouring of known earthquake locations would suggest. 相似文献
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青藏高原东北隅地区位于青藏高原、鄂尔多斯和阿拉善三大块体交汇部位,发育一组以逆走滑活动为主的弧形断裂系,其新活动性强,历史及现代强震频发,是探讨现代中小地震密集区与历史强震关联性的理想地区,也是检验和发展小震密集区值方法及其适用条件的有利地区。本文采用甘肃省地震局对该区1970年以来1～5级地震仪器监测目录,利用网格点密集值方法进行计算分析,共划分出21个地震密集区。通过分析每个地震密集区内小震活动的时间分布特征及前人对历史地震和活动构造的研究结果,综合判断地震密集区与历史强震之间的对应关系,归纳总结不同震级历史强震密集区的持续时间,给出运用网格点密集值方法校核青藏高原东北隅历史地震的限定条件。研究结果表明:青藏高原东北隅弧形构造区大约66.7%的密集区对应历史强震,两者之间有较密切的关联性;且地震震级越大密集区持续时间越长,两者之间的拟合关系为:T=4.38×10~(-7)×M~(10.91)。 相似文献
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岷山断块位于中国南北强震构造带的中段, 区域地质构造复杂, 活动断裂众多, 强震频发。 4条不同走向的活动断裂NE向龙门山构造带的茂汶断裂、 NWW向东昆仑断裂带的塔藏断裂、 近NS向的岷江断裂和NNW—NS向的虎牙断裂构成岷山断块的南北西东边界。 638—2017年该区域共发生了10次6级以上破坏性地震, 2017年九寨沟7.0级地震就是其中之一。 结合区域构造背景, 对岷山断块所发生的6级以上地震的发震构造特征、 地震活动特性进行归纳总结, 综合分析该区域地震地质特征及地震危险性, 得出以下认识: ① 地震分布空间分区特征显著, 破坏性强震发震构造多为活动性较强的岷山断块东西边界断裂, 震中位置多位于两组或多组活动断裂构造的交会或穿切部位; ② 地震分布时间特征表现为随着时间发展具有迁移回返和原地复发性等特点; ③ 岷山断块东西边界断裂破坏性地震的发生具有一定的时间关联性, 东边界虎牙断裂1973—2017年的地震序列为西边界岷江断裂1933—1960年地震序列约40年后的地震构造响应; ④ 未来岷山断块仍应是继续关注的强震潜在危险区, 岷江断裂中北段的强震潜在危险区是近期值得深入研究的地区之一。 相似文献