<?xml version="1.0" encoding="utf-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:cf="http://www.microsoft.com/schemas/rss/core/2005">
<channel>
<title cf:type="text"><![CDATA[《Earthquake in Chinc》Editorial department -->Volume 39,Issue 4,2023 Table of Contents]]></title>
<item>
<title><![CDATA[Horizontal Deformations Detected by GNSS Observations as Precursory to Large Earthquakes]]></title>
<link><![CDATA[http://zgdz.eq-j.cn/zgdzen/ch/reader/view_abstract.aspx?file_no=20230401&flag=1]]></link>
<description><![CDATA[The paper focuses on the horizontal deformations detected by the GNSS measurement before and after 6 typical large earthquakes of parculiar characteristics,particularly huge earthquakes,to explore crustal deformations precursory to earthquakes for the purpose of earthquake forecasting. They are the Wenchuan earthquake of <i>M</i>8.0,the earthquake of <i>M</i>8.8 in Chile,the Tohoku earthquake of <i>M</i>9.0 in Japan,the <i>M</i>8.1 earthquake in Nepal,the 2016 <i>M</i>7.3 Kyushu earthquake of and the doublet earthquakes of both <i>M</i>7.8 in 2023 in Turkiye. The regional reference frames are used in studies on the crustal deformations precursory to earthquakes to keep alignment for the requirement. And the coseismic horizontal displacements are the key phenomenon in exploring crustal deformations precursory to earthquakes. No accumulations of vertical and horizontal shear displacements were detected at or near the epicenters. There have been two patterns of precursory horizontal displacements at and near the epicenters of large earthquakes,that is,they reached peak values or were locked with no horizontal displacements. The media at and near the epicenters were non-elastic,but the media far from the epicenter were elastic. The GNSS observations showed that the epicentral areas were compressed before the events and there were shear break at the time of the earthquakes. The processes were similar to the rock failures in the rock tests. Therefore the “compression-shear”(elastic)rebound model is in agreement with the results of GNSS observations. But till now there were imminent precursory crustal deformations for only quite few earthquakes. Obviously even though there are problems in detecting imminent precursory deformations,GNSS has been one of the main observation techniques in earthquake forecasting. Because imminent precursory deformations are closely related with critical phenomenon in the failure process of earthquake faults,the critical phenomenon or imminent precursors are the key for the breakthrough in earthquake forecasting. Different observation techniques of multiple disciplines should be used to detect the imminent precursors.]]></description>
<pubDate>2024/1/8 11:35:44</pubDate>
<category><![CDATA[地震预测方法研究专题论文]]></category>
<author><![CDATA[Gu Guohua]]></author>
</item>
<item>
<title><![CDATA[Discussion the Forecasting Efficiency of Underground Fluid Data through Different Technical Methods]]></title>
<link><![CDATA[http://zgdz.eq-j.cn/zgdzen/ch/reader/view_abstract.aspx?file_no=20230402&flag=1]]></link>
<description><![CDATA[Four methods,including threshold method,rate change method,trend transition method and annual change method,were used to quantitatively calculate R value of forecasting efficiency of all same underground fluid data in Zhaotong area. Based on the characteristics of anomalies and water chemistry,the seismogenic mechanism of these anomalies was discussed. The results showed that the best forecasting period of most fluid anomalies in Zhaotong area was within 3 months,especially after the anomalies extracted by the rate method and the trend turn,which is relatively significant for forecasting in short to imminent stage. The forecasting efficiency <i>R</i>><i>R</i><sub>0</sub> of 11 test items can be used as key test items for daily tracking anomaly in northeast Yunnan. It was concluded that most such the shallow precursor anomalies were caused by fluid force induced by atmospheric precipitation.]]></description>
<pubDate>2024/1/8 11:35:45</pubDate>
<category><![CDATA[地震预测方法研究专题论文]]></category>
<author><![CDATA[Hu Xiaojing, Fu Hong, Zhang Xiang, Li Qiong, Gao Wenfei]]></author>
</item>
<item>
<title><![CDATA[Key Problems and Solutions of Earthquake Emergency Coordination in Beijing-Tianjin-Hebei Region under New Emergency Management System]]></title>
<link><![CDATA[http://zgdz.eq-j.cn/zgdzen/ch/reader/view_abstract.aspx?file_no=20230403&flag=1]]></link>
<description><![CDATA[The earthquake disaster emergency coordination mechanism is of great significance for improving the earthquake disaster emergency response capacity and ensuring post-earthquake disaster relief in good order. The new emergency management system has solved the problems of multiple emergency coordination entities and high costs to a certain extent,and improved the ability to respond to complex and volatile catastrophic events. However,there are still shortcomings in the ownership of command power,deep coordination,and technical support for emergency coordination research in cross regional emergencies. Based on the concept of earthquake disaster emergency coordination mechanism,in this paper we take the Beijing-Tianjin-Hebei region as an example to analyze the demand of earthquake disaster emergency coordination faced by the three regions under the new system due to their geographical proximity,lifeline engineering dependency,and economic development integration trend. We select above three key issues affecting the construction of the Beijing-Tianjin-Hebei earthquake emergency coordination mechanism and proposes solutions. We emphasize the importance of the “risk-scenario-task-demand-collaboration” research framework in scenario construction method for resolving key issues,which can effectively overcome the shortcomings of relying on interdepartmental coordination to slowly improve coordination and rescue effectiveness in the past. The proposed solutions in this paper can improve the effectiveness of future earthquake and catastrophe emergency management,and improve the comprehensive capacity of national disaster prevention and mitigation.]]></description>
<pubDate>2024/1/8 11:35:45</pubDate>
<category><![CDATA[地震灾害防治与应急管理专题论文]]></category>
<author><![CDATA[Liu Xiaojing, Wang Huiyan, Wang Jianfei]]></author>
</item>
<item>
<title><![CDATA[Research on the Effectiveness of Earthquake Public Signs Based on Ergonomic Principles]]></title>
<link><![CDATA[http://zgdz.eq-j.cn/zgdzen/ch/reader/view_abstract.aspx?file_no=20230404&flag=1]]></link>
<description><![CDATA[Based on the ergonomic principles of the signs,we test and evaluate the effectiveness of GB/T24362-2009 seismic public information graphic signs in this paper. Combining the test data of comprehension rate,familiarity,physical conformity,and conceptual conformity,we evaluate whether the sign symbols in this standard follow the International Organization for Standardization(ISO)assessment standards. We focus on the influencing factors of the high and low comprehension rates of the signs in this standard,and explore the mechanisms by which physical conformity,conceptual conformity,and familiarity affect the sign comprehension rate(<i>P</i>＜0.001). The results of test data revealed that physical conformity and familiarity were the critical factors affecting sign comprehension rates. We concluded that the physical conformity,conceptual conformity,and familiarity of logo graphics should be improved first to enhance the effectiveness of the logo. Finally,some of the signs in GB/T24362-2009 with low comprehension rates were analyzed with ergonomic principles,and specific suggestions for improved design were put forward.]]></description>
<pubDate>2024/1/8 11:35:45</pubDate>
<category><![CDATA[地震灾害防治与应急管理专题论文]]></category>
<author><![CDATA[Peng Maifu, Wang Huiyan, Liu Xiaolan]]></author>
</item>
<item>
<title><![CDATA[Construction of Information Literacy Evaluation Index System for Social Rescue Organization Personnel]]></title>
<link><![CDATA[http://zgdz.eq-j.cn/zgdzen/ch/reader/view_abstract.aspx?file_no=20230405&flag=1]]></link>
<description><![CDATA[This article aims to explore the evaluation index system of information literacy applicable to personnel in social rescue organizations,and calculate the weights of the indicators through the Delphi method,Analytic Hierarchy Process(AHP),and questionnaire survey. The results show that the information literacy evaluation index system of social rescue organization personnel is composed of five dimensions and 16 observation indexes,namely,disaster information awareness,disaster information knowledge,disaster information ability,disaster information psychology,disaster information law and morality. The index system has good fitting,aggregation validity and discrimination validity,which can be used to evaluate the ability of rescue personnel in grasping information and can be employed to the education organization in improving information technology for rescuers.]]></description>
<pubDate>2024/1/8 11:35:45</pubDate>
<category><![CDATA[地震灾害防治与应急管理专题论文]]></category>
<author><![CDATA[Yin Xiangju, Wang Shuzhe, Huang Yiming, Qian Hongwei]]></author>
</item>
<item>
<title><![CDATA[Research on Population Spatialization Based on Buildings and POI Data]]></title>
<link><![CDATA[http://zgdz.eq-j.cn/zgdzen/ch/reader/view_abstract.aspx?file_no=20230406&flag=1]]></link>
<description><![CDATA[Population data is the basis of earthquake disaster assessment. Accurate population spatial distribution information is of great significance to conduct emergency disaster assessment and to carry out efficient emergency decision-making. In this paper,based on the Spearman correlation analysis and multiple linear regression analysis,a population spatial model is constructed by combining building spatial distribution,POI(points of interest),road network and population statistics data,in order to achieve a relatively high accurate visual expression of population data based on regular grids. The results show that:① The spatial distribution of buildings can well reflect the macro distribution characteristics of the population,but for the description of the detailed characteristics of the population distribution,POI data is better. ② Affected by the regional economic development,the population distribution is of obvious spatial differences with the trend of decreasing from urban to rural areas. The population density between the central urban area,surrounding towns and faraway towns is tremendously different. The deviation between the actual real value and the population simulation value based on the building and POI data is small,and the data accuracy is close to the reality,which can provide a reliable data basis for the rapid hazard assessment of disaster.]]></description>
<pubDate>2024/1/8 11:35:45</pubDate>
<category><![CDATA[地震应急灾情决策研究专题论文]]></category>
<author><![CDATA[Li Jinxiang, Tan Ming, Gulizipa·Mulati, Li Bo, Zhang Jinyan]]></author>
</item>
<item>
<title><![CDATA[A Single Building Seismic Damage Assessment Method Based on Improved Genetic Algorithm Optimized BP Neural Network]]></title>
<link><![CDATA[http://zgdz.eq-j.cn/zgdzen/ch/reader/view_abstract.aspx?file_no=20230407&flag=1]]></link>
<description><![CDATA[This paper proposes a single building damage assessment method based on improved genetic algorithm optimized back propagation(BP)neural network,after reviewing the latest research progress in machine learning algorithms. Taking the Sichuan area as an example,the improved genetic algorithm optimized BP neural network is used to establish an assessment model and to output the damage levels of single buildings with different structural types in the assessment area under the combined effect of various seismic damage influencing factors. The validity of the model is verified through the analysis of practical examples,and the results show that the method can quickly and accurately assess the seismic damage of single buildings.]]></description>
<pubDate>2024/1/8 11:35:45</pubDate>
<category><![CDATA[地震应急灾情决策研究专题论文]]></category>
<author><![CDATA[Meng Yatian, Xiong Yongliang, Guo Hongmei, Zhang Ying, Zhao Zhen, Jiang Xueli]]></author>
</item>
<item>
<title><![CDATA[Study on Wave Selection Method of Long-period Bridges Based on Wavelet Transform]]></title>
<link><![CDATA[http://zgdz.eq-j.cn/zgdzen/ch/reader/view_abstract.aspx?file_no=20230408&flag=1]]></link>
<description><![CDATA[In the time history analysis,the selection of seismic waves has a significant impact on long-period and long-span bridges. Based on the standard target spectrum and MATLAB program,in this paper we select the optimal wavelet base and use the wavelet coefficient iteration method to achieve frequency domain adjustment,so that the seismic wave response spectrum can continuously approach the given target spectrum. Moreover,by using two parameters including relative error and long-period fitting parameter to make a comprehensive evaluation,we are able to select seismic waves applicable to long-period and long-span bridge in the time-history analysis,and to propose a whole-process batch wave selection method for long-period bridges. The method is applied to Fengjie Yangtze River Bridge,and the effects of wave selection are compared with Seismo Match wave selection software based on time domain adjustment method. The results of wave selections are applied to the time-history analysis of the background bridges. The results indicate that there exists the certain difference between the key section response obtained by the wave selection method in this thesis and the response obtained by the software wave selection in the transverse and vertical bridge directions. The method in this paper can provide references for wave selections in time-history analysis of long-period and long-span bridges.]]></description>
<pubDate>2024/1/8 11:35:45</pubDate>
<category><![CDATA[论文]]></category>
<author><![CDATA[Li Xiaoli, Zhao Yuemin, Zou Jina, Wang Dongsheng]]></author>
</item>
<item>
<title><![CDATA[3D Crustal Velocity Structure of Reservoir Areas in the Multiple River Basins of Western Guizhou Province]]></title>
<link><![CDATA[http://zgdz.eq-j.cn/zgdzen/ch/reader/view_abstract.aspx?file_no=20230409&flag=1]]></link>
<description><![CDATA[In this paper,we applied the <i>v</i><sub>p</sub>/<i>v</i><sub>s</sub> model consistency-constrained double-difference seismic tomography method with the earthquake catalogue and phase report constructed by machine learning and t,to obtain the seismic location and 3D <i>v</i><sub>p</sub>,<i>v</i><sub>s</sub>,<i>v</i><sub>p</sub>/<i>v</i><sub>s</sub> structures in the reservoir areas of western Guizhou Province. The results show that the velocity structures in the study area are of obvious heterogeneity,and different tectonic deformation zones show different velocity structure characteristics. At the depth of less than 10km,the NW-trending Weining tectonic deformation zone that crosses the central part of western Guizhou Province shows significant low-velocity anomaly bands,revealing the depth and range of the influence of the Weining-Shuicheng fault zone. Due to the influence of lithology and fluid permeability,the velocity structures at 0km depth in the reservoir area generally show the characteristics of low-velocity and high <i>v</i><sub>p</sub>/<i>v</i><sub>s</sub>, including Jiayan,Pingzhai,Guangzhao and Mamaya reservoir areas. The spatial distribution of relocated earthquakes provides the evidence of the geometric distribution characteristics of a large number of buried faults. Combined with the 3D velocity structure,it is inferred that the seismic activity in this area is related to the fault activation around the reservoir.]]></description>
<pubDate>2024/1/8 0:00:00</pubDate>
<category><![CDATA[论文]]></category>
<author><![CDATA[Du Xingzhong, Zuo Kezhen, Duan Longfei, Zhao Cuiping]]></author>
</item>
<item>
<title><![CDATA[Segmentation Characteristics of Vertical Deformation of Main Faults in Shanxi Fault Depression Zone]]></title>
<link><![CDATA[http://zgdz.eq-j.cn/zgdzen/ch/reader/view_abstract.aspx?file_no=20230410&flag=1]]></link>
<description><![CDATA[The mode of fault movement and slip rate are important parameters for studying fault activity and determining earthquake risk. Based on processing and reconstruction of cross fault leveling observation data accumulated over the years in the Shanxi fault depression zone,we analyzed the current movement characteristics of the main faults in each structural area based on structural zoning. The results suggest that the main faults in the Shanxi fault depression zone were mainly characterized by inherited normal fault movement during the observation period,and there were significant differences in fault movement characteristics among different basins. The vertical activity of the north and south sections was significantly greater than that of the middle section,in which the Xinding Basin is of the smallest cumulative change value. From the perspective of vertical activity rate of faults,the activity rate of Mount Wutai Fault,Shizhoushan piedmont fault,Tanghe fault and Huoshan piedmont fault across faults is significantly lower than that of the whole region. Due to long-term tectonic stress loading and the influence of moderate to strong earthquakes in the region,there are also differences in fault movements at different time periods. Some cross fault survey sections,such as Xiaxiazhi,Tingzhitou,Taiyuan,and Guangshengsi,exhibit significant features such as reverse fault inheritance movement and relative fault locking.]]></description>
<pubDate>2024/1/8 0:00:00</pubDate>
<category><![CDATA[论文]]></category>
<author><![CDATA[Li Huiling, Li Dongmei, Li Ying, Chen Yongqian, Chen Hui, Gao Yunfeng, Wei Kaiyan]]></author>
</item>
<item>
<title><![CDATA[Strong Ground Motion Simulation of the M6 3/4 Lingshan Guangxi Earthquake Base on Stochastic Finite Fault Modeling]]></title>
<link><![CDATA[http://zgdz.eq-j.cn/zgdzen/ch/reader/view_abstract.aspx?file_no=20230411&flag=1]]></link>
<description><![CDATA[On April 1,1936,an earthquake of <i>M</i>6 3/4 occurred near Luoyang mountain in the southeast of Pingshan town,Lingshan county,Guangxi. This event is the largest earthquake that has occurred in the South China continent since documental earthquake records are available. In this study,we collected and organized geological data and the recent research results related to this event. Then,we simulated strong ground motion parameters such as peak ground acceleration and peak ground velocity on each grid points within the area and incorporated the influence of shallow shear wave velocity structure <i>V</i><sup>30</sup><sub>s</sub> on the simulation results. Finally,we obtained the strong ground motion distribution of this earthquake and analyzed its characteristics. We compared the simulation results with field survey intensity data and attenuation relationships. The results showed that the simulation results are in good agreement with the survey intensity values and attenuation relationships in terms of overall characteristics and distribution of meizoseismal area. The simulation results of this study can provide a reliable basis for the risk assessment of future earthquake disaster in the region,and the technical methods used in this study can also be applied to rapid regional estimation of seismic intensity,providing assistance for emergency rescue and decision-making command after earthquakes.]]></description>
<pubDate>2024/1/8 11:35:45</pubDate>
<category><![CDATA[论文]]></category>
<author><![CDATA[Chen Gang, Li Maofeng, Li Kehua, Tang Yong, Zhang Qing, Ma Guifang, Shen Wenhao, Jiang Wenliang]]></author>
</item>
<item>
<title><![CDATA[The Simulation of Coseismic Gravity and Deformation Effects of the Luding M6.8 Earthquake—New Evidence for the Lock in Shearing Force Mode of Earthquake Generation]]></title>
<link><![CDATA[http://zgdz.eq-j.cn/zgdzen/ch/reader/view_abstract.aspx?file_no=20230412&flag=1]]></link>
<description><![CDATA[The Luding <i>M</i>6.8 earthquake in 2022 is a critical earthquake in the recent Sichuan-Yunnan region. Based on the coseismic rupture model obtained from seismic wave and the Okubo planar rectangular elastic dislocation theory,we simulated the coseismic gravity changes,vertical and horizontal displacements caused by the Luding <i>M</i>6.8 earthquake. The results show that:① The coseismic gravity change image has a high and low four-quadrant symmetrical feature with the fault as the boundary,which is consistent with the pre-seismic(September 2019 to September 2020)measured gravity change image and the left-lateral strike-slip feature of the fault,indicating that the seismic precursor process is related with the lock in shearing force model. ② In the far-field region,the coseismic vertical displacement pattern exhibits similarity to the gravity anomaly pattern. The effect of density variation induced by fault slip surpasses the impact of surface vertical displacement in this context. In contrast,the surface vertical displacement in the near-field exerts a more pronounced influence compared to the density variation effect,demonstrating a negative correlation between them. ③ The coseismic horizontal deformation image has a symmetrical four-quadrant feature,which is consistent with the deformation characteristics by GNSS measurements and InSAR results. These results provide a basis for explaining the gravity and deformation observation results before and after the earthquake,and help us to understand the mechanism of strong earthquake generation,especially for the further improvement of the locked shear model.]]></description>
<pubDate>2024/1/8 11:35:45</pubDate>
<category><![CDATA[论文]]></category>
<author><![CDATA[Jin Wen, Tan Hongbo, Shen Chongyang, Shen Yutong]]></author>
</item>
<item>
<title><![CDATA[Correlation Analysis between Pre-earthquake OLR Anomaly and InSAR Coseismic Deformation of the Qinghai Menyuan MS6.9 Earthquake]]></title>
<link><![CDATA[http://zgdz.eq-j.cn/zgdzen/ch/reader/view_abstract.aspx?file_no=20230413&flag=1]]></link>
<description><![CDATA[The short-term anomalous distribution of outgoing longwave radiation(OLR)obtained before the January 8,2022 Menyuan <i>M</i><sub>S</sub>6.9 earthquake in Qinghai Province was compared with the spatial distribution of the coseismic deformation of the Menyuan earthquake extracted by the post-earthquake InSAR technique. The results show that the pre-earthquake infrared radiation enhancement area is basically consistent with the InSAR coseismic rupture deformation area,and the expansion forms are basically similar(the coseismic rupture deformation area is distributed inside the infrared radiation anomaly area). In terms of the spatial distribution of OLR nationwide before the earthquake,only the area of Delingha-Xining-Wuwei has a dumbbell-shaped OLR thermal radiation enhancement area,which is distributed in the near west-east direction,and the spatial recognizability is high. The spatiotemporal evolution process of OLR anomalies follows the thermal anomaly law during rock stress loading and fracture,suggesting that the thermal anomaly changes are related to stress changes. The coseismic deformation extracted by InSAR is mainly located in the intersection of the Sunan-Qilian fault,the Toleshan fault and the Lenglongling fault. The InSAR coseismic deformation results reveal that the surface deformation is mainly in the horizontal direction,and the fault movement has typical strike-slip deformation characteristics. InSAR coseismic deformation results provide referenced geological entity monitoring evidence for infrared remote sensing to reflect seismic deformation,and verify that the radiation enhancement anomaly before the Menyuan earthquake is a remote sensing physical parameter reflection of changes in seismic tectonic stress intensity.]]></description>
<pubDate>2024/1/8 0:00:00</pubDate>
<category><![CDATA[论文]]></category>
<author><![CDATA[Zhu Jie, Li Wanqiu, Tao Zhigang, Liu Yangyang, Ma Weiyu]]></author>
</item>
<item>
<title><![CDATA[Applicability of Commonly Used Earthquake Magnitude Measurement Methods in Automatic Rapid Reports]]></title>
<link><![CDATA[http://zgdz.eq-j.cn/zgdzen/ch/reader/view_abstract.aspx?file_no=20230414&flag=1]]></link>
<description><![CDATA[<i>M</i><sub>L</sub>,<i>M</i><sub>WP</sub> and <i>m</i><sub>B</sub> are commonly used methods of magnitude measurement in automatic earthquake rapid reports. In order to analyze the accuracy of these three methods at different times and demonstrate the reasons of deviations,we simulated the quasi-real-time determination process of the magnitude of the <i>M</i>6.4 earthquake in Jiashi,Xinjiang(January 19,2020)and the moderate-strong earthquake swarm in Yangbi,Yunnan(May 21,2021). By calculating the <i>M</i><sub>L</sub>,<i>M</i><sub>WP</sub> and m<sub>B</sub>  magnitudes of 56 earthquake events with <i>M</i>4.5 and above occurred in mainland China from January 1,2020 to July 31,2022,we analyze the stability of these three methods in the determination of moderate-strong earthquake magnitude,after comparing their own benefits and applicability study in different magnitude section. Our results showed that:① Using the conversion relationship converting <i>M</i><sub>L</sub> to <i>M</i> is an important reason for the large deviation. <i>M</i><sub>L</sub> should not be converted,and its value can be directly used as the published magnitude of the automatic quick reports in moderate and strong earthquake events;② For densely occurring earthquake swarms,<i>M</i><sub>WP</sub> and <i>m</i><sub>B</sub> are easily affected by the previous coda wave or long-period signal,resulting in large magnitude and large deviation,so it is not suitable to be used as the magnitude of the automatic rapid reports,but <i>M</i><sub>L</sub> is better;③ In the 4.5～5.5 magnitude range,<i>M</i><sub>L</sub> should be used to measure the magnitude;in the 5.5～6.5 magnitude range,both <i>M</i><sub>WP</sub> or m<sub>B</sub>  are good,but <i>M</i><sub>WP</sub> is more stable and time-saving for the earthquakes. For magnitudes above 6.5,<i>M</i><sub>WP</sub> has the better effect and should be applied.]]></description>
<pubDate>2024/1/8 11:35:45</pubDate>
<category><![CDATA[论文]]></category>
<author><![CDATA[Zhi Ming, Liang Jianhong, Sun Li, Xu Tairan, Liang Hao, Liu Jingguang]]></author>
</item>
<item>
<title><![CDATA[Study on the Spatial Distribution of Seismic Activity in Changning Area,Sichuan Province]]></title>
<link><![CDATA[http://zgdz.eq-j.cn/zgdzen/ch/reader/view_abstract.aspx?file_no=20230415&flag=1]]></link>
<description><![CDATA[In recent years,seismic activity in Changning area of Sichuan Province has been relatively high,especially for the <i>M</i><sub>S</sub>6.0 earthquake in June 2019,which has been brought wide attention of society and scientific researchers. In this study,we used the double-difference method to relocate the earthquakes within one year before and after the <i>M</i><sub>S</sub>6.0 earthquake. Further,we applied the gCAP waveform fitting method to obtain the focal mechanism solution of 14 earthquakes with <i>M</i><sub>S</sub>>4.0. The spatial distribution characteristics of seismic activities in Changning area was comprehensively analyzed,and the following main understandings were obtained:① The seismogenic structure of the <i>M</i><sub>S</sub>6.0 earthquake in 2019 was the high-dip thrust fault with NW direction in the Changning anticline,and the focal depth of the seismic sequence was deep in the west and shallow in the east,indicating the reactivation of the pre-existing fault in NW direction. ② The frequency of seismic activity in the Jianwu anticline area in the south is relatively higher and shows the characteristics of cluster distribution,which is speculated to be closely related to shale gas exploitation activities. ③ The difference of seismic activity between the north and the south of Changning area is controlled by the change of the direction of the local stress field. The historical salt mining in the north and shale gas mining in the south,as well as the horizontal difference of the physical properties of rock medium directly affect the spatial pattern of seismic distribution.]]></description>
<pubDate>2024/1/8 11:35:45</pubDate>
<category><![CDATA[论文]]></category>
<author><![CDATA[Hu Guirang, Zhang Guangwei, Liang Shanshan]]></author>
</item>
<item>
<title><![CDATA[Joint Inversion of Focal Depth Using CAP and Rayleigh Surface Wave Amplitude Spectrum for the Ningqiang MS5.3 Earthquake]]></title>
<link><![CDATA[http://zgdz.eq-j.cn/zgdzen/ch/reader/view_abstract.aspx?file_no=20230416&flag=1]]></link>
<description><![CDATA[At 19:06 on September 12,2018,an <i>M</i><sub>S</sub>5.3 earthquake occurred in Ningqiang county,Hanzhong city,Shaanxi Province. The earthquake depth given by different institutions are somewhat different. Based on the regional velocity model,the focal depth of this earthquake is calculated in this paper in order to confirm the depth result. Firstly,the focal mechanism solution of the earthquake is obtained by inversion by using the CAP method,and then the focal depth is further determined by using the Rayleigh surface wave amplitude spectrum and the error function of the CAP method. The calculation results show that the focal depth of the Ningqiang<i> M</i><sub>S</sub>5.3 earthquake obtained by the CAP method is about 12km,while that of the Rayleigh surface wave amplitude spectrum is 13km. Combining with the above two methods,it is finally determined that the focal depth of the Ningqiang<i> M</i><sub>S</sub>5.3 earthquake is about 13km,which indicates that this earthquake occurred at the upper crust.]]></description>
<pubDate>2024/1/8 0:00:00</pubDate>
<category><![CDATA[论文]]></category>
<author><![CDATA[Zhao Tao, Wang Ying, Xu Yifei, Liu Pan, Liu Chun]]></author>
</item>
<item>
<title><![CDATA[Preliminary Analysis of Source Parameters of the M5.5 Earthquake on August 6,2023 in Pingyuan Country,Shandong Province]]></title>
<link><![CDATA[http://zgdz.eq-j.cn/zgdzen/ch/reader/view_abstract.aspx?file_no=20230417&flag=1]]></link>
<description><![CDATA[An earthquake of magnitude 5.5 occurred in Pingyuan county(37.16N,116.34E),Shandong Province at 2:33 on August 6,2023,of Beijing time. The early warning produced the first early warning results 7.5 seconds after the earthquake. The China Earthquake Network Center released the automatic rapid report results in 2 minutes after the earthquake and the official rapid report results in 10 minutes after the earthquake. Cooperated with multiple units,the China Earthquake Network Center produced 9 types of emergency products,including source basic parameters,historical earthquakes,seismic tectonics,source mechanisms,aftershock location,earthquake intensity and source rupture process. The results show that the earthquake occurred near the Linnan fault. The source mechanism indicates that the earthquake was a strike-slip event. The results of aftershock precise relocation show that the aftershock spread was close to NEE direction,which was consistent with the fault direction near the epicenter. The estimation from the Intensity Rapid Report suggests that the intensity of the polar earthquake area reaches Ⅷ,with an area of about 528km<sup>2</sup>,and the total area of Ⅶ and above is about 1694km<sup>2</sup>.]]></description>
<pubDate>2024/1/8 11:35:45</pubDate>
<category><![CDATA[论文]]></category>
<author><![CDATA[Zhang Yaxi, Dai Danqing, Yang Zhigao, Xi Nan, Zhang Jianyong, Han Guangjie, Xu Tairan, Deng Wenze, Sun Li]]></author>
</item>
<item>
<title><![CDATA[A Review of Global Seismicity from July to September, 2023]]></title>
<link><![CDATA[http://zgdz.eq-j.cn/zgdzen/ch/reader/view_abstract.aspx?file_no=20230418&flag=1]]></link>
<description><![CDATA[We collect earthquake disaster related information and data through multiple channels on a quarterly basis,and conduct statistical analysis on global seismic activities with a magnitude of 5.0 or above since 2020,with a focus on the earthquakes with a magnitude of 5.0 or above that caused significant casualties and economic and property losses from July to September 2023. Then,we elaborate on the earthquake disasters and their impacts of typical earthquakes,summarize the main characteristics of earthquake disaster activities in the third quarter of 2023, analyze the characteristics of global earthquake activity and human casualties,and emphasize the importance of daily seismic fortification and cultivating emergency avoidance awareness in hazard mitigation.]]></description>
<pubDate>2024/1/8 11:35:45</pubDate>
<category><![CDATA[述评]]></category>
<author><![CDATA[Cui Manfeng, Ma Xiudan, Chen Hongyu, Zhang Jinhui]]></author>
</item>
<item>
<title><![CDATA[Global Volcanic Activity Brief from July to September, 2023]]></title>
<link><![CDATA[http://zgdz.eq-j.cn/zgdzen/ch/reader/view_abstract.aspx?file_no=20230419&flag=1]]></link>
<description><![CDATA[]]></description>
<pubDate>2024/1/8 11:35:45</pubDate>
<category><![CDATA[述评]]></category>
<author><![CDATA[Guan Sheng, Gu Guohui]]></author>
</item>
<item>
<title><![CDATA[《中国地震》第39卷(2023)总目次]]></title>
<link><![CDATA[http://zgdz.eq-j.cn/zgdzen/ch/reader/view_abstract.aspx?file_no=20230420&flag=1]]></link>
<description><![CDATA[]]></description>
<pubDate>2024/1/8 11:35:45</pubDate>
<category><![CDATA[总目次]]></category>
<author><![CDATA[]]></author>
</item>
</channel>
</rss>