Abstract:As Haoji Railway is only 130 m away from Lushi Geomagnetic Station,the geomagnetic observation data of Lushi Station has been seriously disturbed during construction and operation,resulting in unavailable data.The purpose of this paper is to conduct in-depth analysis on the typical events that caused the change of the second sampled geomagnetic data of Lushi Station during the operation of Haoji Railway.Based on the analysis of the characteristics of the time domain and frequency domain of the geomagnetic data of Lushi Station,the FFT observation anomaly recognition method based on the triple mean square error principle is proposed to distinguish the observation anomaly caused by the railway operation from the normal magnetic disturbance for identification.The actual reconstruction effect of spatial weighting method,BP neural network algorithm and XGBoost strong machine learning algorithm in data processing is verified by data reconstruction for the disturbed observation data and missing data of Lushi Station.The results show that when the XGBoost strong machine learning algorithm is applied to the data reconstruction of observation anomalies and missing records.,through data simulation,the reconstructed data has a high degree of coincidence with the original data in a small time scale,achieving good results.

Abstract:Artificial Intelligence(AI)technology has gradually formed a new technical paradigm in the field of offshore seismic data processing.This paper focuses on the systematic application of AI pattern recognition methods in marine geophysical exploration,and builds a multi-task processing system based on deep learning for the strong noise interference,tectonic interpretation uncertainty and bottleneck of thin reservoir identification existing in offshore seismic data.Intelligent noise suppression is achieved by designing a convolutional denoising self-encoder,precise identification of geological formations is accomplished by adopting Mask R-CNN architecture,and the reservoir parameter prediction model is optimized by combining with the long and short-term memory network.

Abstract:The failure of elevator systems during earthquakes represents a critical vulnerability in the emergency response of high-rise buildings.The conventional operational mode,where mechanical and electrical subsystems function independently,is inadequate for addressing coupled failure risks under complex seismic loads.This study analyzes the seismic failure pathways of both elevator mechanical structures and electrical systems,elucidating the causes of typical malfunctions such as landing failures due to alarm delays and aggravated passenger entrapment caused by communication interruptions.To enhance the functional continuity of elevator systems under strong earthquakes,a framework integrating the following strategies is proposed:a mechanical-electrical state coupling response mechanism for real-time fault information exchange,an asymmetric magnitude response strategy to dynamically allocate functional weights between subsystems according to varying seismic intensities,and a cross-system safety closed-loop management model.The findings offer theoretical and practical insights for the seismic design of elevators in high-rise buildings.

Abstract:Based on historical earthquake examples,by analyzing the fixed-point deformation observation data of Yunlong Station from 2013 to 2023,the threshold of precursor anomalies and the characteristic images of imminent anomalies were obtained,providing a reference example for identifying precursor anomaly information of Yunlong Station's fixed-point deformation.The research results indicate that the short-term anomalies of water pipe tilt observation are mainly manifested as solid tide distortion and accelerated inclination,with a seismic interval≤60 days.It has good short-term indication for medium-strong earthquakes with M≥5 within a range of≤200 km around the measuring point.The strain observation of the cave body adopts the rate difference method with a threshold of 1.5 times the standard deviation,and the window anomaly method and the annual variation detection method take a threshold of 1 time the standard deviation.Earthquakes occur during the abnormal process or within 90 days after the end of the anomaly,with a prediction accuracy of 75%,all of which are evaluated by the R-value prediction efficiency.The three prediction indicators have important reference significance for the prediction of moderate-earthquakes within 300 km around the measuring point and can be applied to earthquake prediction practice as quantitative prediction indicators for tracking.Especially,the window anomaly method shows the advantages of high prediction accuracy,low false alarm rate and low omission rate.This indicator can be mainly used for strong earthquake prediction in western Yunnan.

Abstract:To accurately extract and arrange keywords from the Chinese text of scientific research papers,a keyword extraction method for Chinese text of scientific research papers based on semantic features and the TextRank algorithm was studied.A semantic feature-based method for selecting candidate keywords from Chinese text of scientific research papers was used.In the Word2Vec tool,the Chinese text was converted into a word vector as the semantic features of the Chinese text of the paper.The semantic features were input into convolutional neural networks,and the semantic features belonging to candidate keyword types were extracted through classification.The text words they belong to were used as candidate keywords.By using the TextRank algorithm-based keyword extraction method for Chinese text of scientific research papers,a graph model for extracting keywords was constructed by using the average information entropy,part of speech,and position of the candidate keywords as the keyword extraction indicators.The comprehensive weights of the candidate keywords were calculated,and the candidate keywords were arranged in descending order.The top-ranked candidate keywords were used as the final extracted keywords to complete keyword extraction from Chinese text of scientific research papers.The tests show that this method can improve the accuracy of keyword extraction and keyword ranking in Chinese text of scientific research papers.

Abstract:Based on the data from 10 stations of the Suqian Seismic Array for fault soil gas observation in the past three years,this paper analyzed the characteristics of radon,hydrogen,and carbon dioxide emission concentra-tions and studied the relationship between the emission concentration of different types of soil gases and faults in dif-ferent geological periods.Moreover,the extent to which the annual variation of the data was influenced by tempera-ture,air pressure,and rainfall was explored.Combined with the ML3.7 earthquake in Sihong,the radon data in soil gases showed the phenomenon of synchronous trend change,and the seismic reflection ability of the seismic ar-ray was analyzed.The results show that the dynamic changes of radon,hydrogen,and carbon dioxide concentra-tions in soil gas are closely related to climatic factors.Radon observations are affected by rainfall and the carrier gas role of carbon dioxide.The synchronous trend changes in the array data have indicative significance for the detec-tion of pre-earthquake anomalies.

Abstract:This paper collected data of 344 historical earthquake disasters in Yunnan Province from 1900 to 2023.Based on ArcGis,mathematical statistics were used to analyze the characteristics of temporal and spatial distribution,casualties,and economic losses of earthquake disasters in Yunnan Province.The Yunnan historical earthquake disaster information service system is established by using RESTful architecture,.NET Core,Echarts,and Three.js technologies.The functions of statistics,inquiry,and visual display of historical earthquake disaster information in Yunnan Province is realized,which provides reference for assessing earthquake disaster risks and earthquake disaster emergency decision-making.

Abstract:Based on the coseismic response recorded by the water level of Shilin well in Yunnan Province in the past six years,this paper analyzed the characteristics and mechanism of the coseismic response of Shilin observation well in combination with actual cases.It was preliminarily discussed that the water level showed rapid high-frequency oscillation and multiple oscillations during distant major earthquakes,gradually attenuated,and then returned to normal.In short-distance major earthquakes,the water level showed steps up and down.The duration and amplitude of both were related to the magnitude and well-to-epicenter distance.The results show that the coseismic response amplitude of water level of Shilin well is correlated with well-to-epicenter distance and magnitude,but it is not completely linear.The coseismic response time is later than the time when the earthquake occurs,and there is a lag.The relationship between magnitude,well-to-epicenter distance,and lag time is positively correlated.The larger the magnitude,the farther the distance,the longer the lag time;the smaller the magnitude,the closer the distance,the shorter the response time.

Abstract:Upgrading the overall level of earthquake resistance of rural buildings is the key to disaster prevention and mitigation.Lushan County,Ya'an City,Sichuan Province,is located in an earthquake-prone area with high seismic risk.In order to grasp the current status of the seismic capacity of rural buildings in Lushan County,this paper carried out a sample survey of rural buildings in 8 townships and 14 villages in Lushan County,so as to count the proportions and characteristics of buildings of different structural types and identify the weaknesses of rural buildings in seismic design and construction.On this basis,the paper used the RISK-UE susceptibility index method to estimate the possible seismic damage of rural buildings under different seismic intensities and proposed targeted recommendations for improving the seismic resilience of buildings.The results show that the study area as a whole exhibits slight to moderate seismic damage under seismic intensity VII.Among them,Hexi Village,Kuaile Village,and Hebian Village,which have a smaller proportion of fortified brick-concrete houses,may experience more severe seismic damage compared to other villages.The results of the study provide a scientific basis for the seismic reinforcement and disaster prevention and mitigation of rural buildings in Lushan County.

Abstract:This paper proposed an estimation model of joint distributions of structural system extreme responses under random excitation based on multivariate Gumbel Copula function and generalized extreme distributions,gave the estimation method of model parameters based on response samples,and established the joint probability calculation method of network disjoint shortest paths and cuts based on joint distributions of extreme responses,which is used for effective analysis of the connectivity reliability of the failure dependent engineering systems.The multivariate extreme value estimation of the random seismic response of a six-story shear-building model and the seismic dynamic reliability analysis of the equipment system of substation validate the effectiveness of the estimation model of the joint distributions of the extreme responses of the structure proposed in this paper and the joint probability calculation method of the network disjoint shortest paths and cuts based on the joint distributions of the extreme responses.

Abstract:On October 24,2023,the MS5.5 earthquake in Subei,Gansu Province occurred on the NWW-trending fault zone at the northern edge of the Qilian Mountains,with a thrust type focal mechanism.Before the earthquake,there were 5 seismic anomalies in the central and western sections of the Qilian Mountains.Among them,there was a new MS3 earthquake anomaly in the western section of the Qilian earthquake zone one month before the earthquake.In July 2023,the strain EW component of the Xigou Cave in Jiayuguan changed from tension to compression,and the NS component showed a decrease in annual amplitude.114 days later,54 km away from the measuring point,a MS5.5 earthquake occurred in Subei,Gansu Province.In the two days before the main earthquake,there was a significant increase in seismic activity in the southeast direction,with a total of 26 recorded earthquake events,the largest of which was Subei MS4.7 earthquake on October 22,2023.It entered a calm period about 7 hours before the main shock and then the main shock occurred.This paper summarizes the abnormal changes in various measurement items before Subei MS5.5 earthquake,as well as the experience accumulated in determining the occurrence of the main earthquake by determining the foreshock sequence,and adds new earthquake examples to earthquake prediction research.

Abstract:This article investigated rural residential buildings in 14 natural villages and 10 towns in Yindu District,Anyang City,through face to face interaction and village and household visits.The seismic performance of buildings was analyzed in terms of structural types,construction years,and structural characteristics.The results show that the proportion of masonry structures in rural residential buildings in Yindu District is high,and the construction years mainly range from 1980s to 2000s;the proportion of unreinforced masonry structures is the highest.The joint of longitudinal and transverse walls of the new(existing)buildings is not protected with structural measures to ensure its reliable connection.The window lintels are made of bricks,and there were even no lintels.The concrete lintels lack support lengths that meet the standards on the walls.Large doors and windows of the new(existing)buildings generally are installed on the south longitudinal walls,resulting in significant differences in stiffness between the front and rear longitudinal walls.Stairs are generally arranged at the ends or corners of buildings,causing stress concentration and the torsion is increased.Based on this,it is proposed that there are some problems in rural residential buildings in Yindu District,such as irregular plane(facade),non-standard design and construction,and weak awareness of earthquake prevention and disaster reduction among residents.Finally,some reasonable suggestions are put forward to provide a scientific basis for the research on the seismic performance of residential buildings in Henan Province.

Abstract:Based on the actual work requirements,this paper developed a time-domain monitoring and frequency-domain power spectrum density(PSD)calculation software for the VP broadband inclinometers on the Matlab platform.The software utilized the Matlab network functions to monitor the VP broadband inclinometer in real time to obtain data and display it visually.At the same time,it used the principle of the improved periodogram diagram method(Welch method)to automatically calculate the PSD of the daily observation data.It executed the time-domain monitoring and frequency-domain PSD calculation tasks concurrently in multiple threads through the Matlab parallel computing toolbox,without interfering with each other.After testing,the software could achieve real-time monitoring of multiple VP broadband inclinometers and promptly issue alarms for situations such as data breakage and out-of-range.This helped improve the quality of observational data at the station.Additionally,by automatically calculating the PSD of the observational data,it enabled station staff to analyze and summarize the normal background and interference characteristics of the observation data,thereby facilitating dynamic tracking and understanding of the background noise situation at the station.

Abstract:This paper analyzed the data of 831 hazardous chemical warehouses in Tianjin City based on enterprise portrait technology.It conducted an early assessment of earthquake disasters by fitting the actual seismic intensity and evaluated the risk level of the hazardous chemical warehouses by extracting their risk eigenvalues.Then,the paper provided decision-making suggestions based on the risk level.At the same time,it built a visual management platform for hazardous chemical warehouses by using the B/S architecture.By calling the Baidu Map's API,the lo-cal database of hazardous chemical warehouses was retrieved and accessed,enabling the map-based visualization application of hazardous chemical warehouse information and the generation of emergency decision-making sugges-tions after the earthquake,which can effectively reduce the risk of secondary disasters caused by earthquakes and improve the earthquake resistance and disaster prevention capabilities and levels of the city.

Abstract:Taking the sites of three seismic stations in Jinping,Malipo,and Hekou,Yunnan Province as exam-ples,this paper explained the quality of the station foundation revealed by the degree of dispersion of the power spectrum curves by comparing the differences in the 24-hour background noise power spectrum curves of the sites of the preliminary survey and re-survey stations.The station sites with a high degree of dispersion of the power spec-trum curves were susceptible to the influence of interference,whereas those with a convergent and low degree of dispersion of the power spectrum curves had a superior quality and were not susceptible to the influence of near-field interference.This result suggests that the degree of dispersion of power spectrum curves is indicative of the im-munity of the station sites to near-field interference.Further investigation indicates that the low-frequency disper-sion of the power spectrum curve of short-period seismometer recording data mainly originates from the equivalent tilt signals recorded outside the passband.Conversely,the interfering signals in the high-frequency band predomi-nantly emanate from the near-field vibrational interferences.The key to reducing the aforementioned interference lies in setting up the instrument on bedrock rather than on rolling stones.This hypothesis has been substantiated by the subsequent re-survey.

Abstract:Urban underground pipeline networks are the lifeline of a city and play a critical role in ensuring its normal operation.However,traditional underground pipeline data is often presented only in tabular formats,which fail to provide an intuitive representation of the pipelines' location.This can lead to accidents during construction,such as inadvertently breaking pipelines.This paper utilizes Revit API for secondary development to automatically read underground pipeline network data from Excel spreadsheets,convert the underground pipeline network data into a building information modeling(BIM)model,and integrate the BIM model with the GIS system based on the geodetic coordinate positions.It enables the viewing of the actual positions of the underground pipeline network in the GIS system.This not only significantly improves the efficiency of BIM modeling for the underground pipeline network but also provides a basic platform for the digital operation and maintenance of underground pipeline network of the whole city.

Abstract:The main urban area of Weifang City is densely populated and located near the earthquake fault zone,so the earthquake risk is relatively high.In order to analyze the distribution suitability of 93 earthquake emergency shelters in the main urban area of Weifang City,this paper used ArcGIS software to carry out buffer analysis,kernel density analysis,and calculation of the nearest distance from the shelter to the fault,and adopted entropy weight method to evaluate the suitability.The analysis shows that:The number of shelters in the east of Kuiwen District,the north of Hanting District(Binhai District and Jingkai District),and the southeast of Fangzi District(Xiashan District)is obviously too small to cover effectively.The distance from the shelter to the fault is too close.67 of the 93 shelters are 0-2000 m away from the fault,accounting for 72.0%.The distance from the shelter to the supermarket has become an important factor affecting the rating of the suburban shelter.The open land on the edge of densely populated areas is a good choice for the construction of earthquake emergency shelters,and the current development and utilization are not sufficient.After a comprehensive analysis,it is concluded that the number of emergency shelters in the new functional areas in the main urban area of Weifang City is too small,and the supporting basic settings of the shelters built in this area need to be improved.It is recommended to add large shelters in places far from the fault zone.

Abstract:Social media has become the core carrier for disseminating emergency information and intensifying public opinions.This study took the Liupanshui MS4.6 earthquake in Guizhou Province on July 24,2024 as an example,collected text,address,and time data from social media within 48 hours after the earthquake.This study investigated the focus themes,emotional characteristics,spatial distribution,and temporal changes of public opinions on this earthquake.The research results indicate that the peak of event discussion occurs 4 hours after the earthquake,with themes including earthquake zone safety,earthquake sensation description,earthquake event experience,blessings,and gratitude.In terms of emotional evolution,neutral emotions account for a relatively high proportion in the early stage,and they gradually turn into positive emotions as there are no reports of casualties or property damage within 20 hours after the earthquake.In terms of spatial distribution,comments are mainly concentrated in the Guizhou region,particularly the provinces and surrounding areas where earthquakes have occurred,as well as the central and eastern regions.The results of this study can provide decision support or theoretical reference for post-earthquake network public opinion analysis and disposal in areas with fewer earthquakes.

Abstract:Based on the importance-performance analysis(IPA)method,this paper compared the differences in evaluation of the importance and satisfaction of earthquake early warning publicity among teachers in urban and rural areas and schools that have received early warning information.The results show that in terms of content,the publicity knowledge is distributed in four quadrants.The knowledge with strong practicality and high guidance is of high importance and satisfaction,and the principle-based knowledge with high difficulty in understanding and poor practicality is of low importance and satisfaction.Among them,the practical knowledge of schools that have not received early warning information is concentrated in the first quadrant.In terms of publicity intensity,it is generally in the fourth quadrant.Urban schools have greater publicity intensity and higher satisfaction than rural schools.Schools that have not received early warning information have more urgent demand for early warning knowledge.In terms of publicity methods,the contradiction between high demand and low recognition of earthquake early warning publicity methods is the consensus of school teachers,and this index is located in the fourth quadrant.

Abstract:The suddenness and destructiveness of earthquake disasters pose severe challenges to emergency response systems.Traditional drill models,lacking a behavioural science perspective,result in low conversion rates of self-rescue skills,failing to meet the modernisation requirements of the national emergency management system.Based on the theory of protective motivation and the theory of planned behavior,this study designed a questionnaire and collected 248 valid responses,identifying four self-rescue behavior patterns:precise executors,mechanical followers,experience-misguided individuals,and incapacitated panic-stricken individuals.The study proposed targeted optimization strategies,including designing advanced training programs,establishing a decentralized training system,addressing cognitive rigidity,and overcoming the mind-body decoupling dilemma,so as to facilitate a transition from standardized drills to precision-oriented training.