Research On Rapid Acquisition Of Location And Range Of Earthquake Meizoseismal Area Based On Mobile Phone Location Information

As the popularity of mobile phones in recent years,it is possible for the location based studies using the timely and real-time mobile phones location data.It is beneficial to quickly determine the location and scope of the mega-earthquake area after the earthquake,for judging the disaster situation in time,supporting for rescue work? It is of great practicability and significance to the earthquake emergencyThis paper uses the mobile phone position data collected by the third-party mobile push service provider to analyze the change of index data before and after the earthquake by analyzing the number of active base stations,active Wi Fi,wireless network networking equipment and aggregate online equipment,to determine the degree of influence of the earthquake on the different locations in the earthquake disaster areas,so as to further study the location and approximate range of the polar seismic area within 10 minutes after the earthquake.First of all,this paper selects three earthquakes: Jiuzhaigou earthquake in Aba prefecture,Jinghe earthquake in Boltala state,Xinjiang,and Qingchuan earthquake in Guangyuan city,Sichuan province.According to the screening conditions:(1)within30 minutes before the earthquake,the time with effective data is more than 20minutes;(2)within 30 minutes before the earthquake,the average value of naked data is more than 5;(3)within 30 minutes after the earthquake,the number of data exceeding the average value before the earthquake is less than 3.These three screening conditions are to ensure the continuous stability of the index data,can report the data in real time,have a certain population basis,and the number of indicators after the earthquake decreased.One observation point is selected for each earthquake,and the number of indexes on the day before the earthquake is compared with that on the day before the earthquake,and the indexes with high sensitivity to the earthquake are selected out of the four indexes.The results show that the number of active Wi Fi and wireless network The response effect of complex network equipment after earthquake was better than that of the other two indexes.Among them,the number of active Wi Fi is the most,sensitive to seismic response,but there is delayreporting,real-time is general;the number of wireless network devices is the most sensitive to seismic response,the number of active Wi Fi is relatively small,but the real-time performance is better.The active Wi Fi number is good for determining the direction of the extreme earthquake area,and the number of wireless network networking devices is good for determining the epicenter position.Then,according to the highly sensitive active Wi Fi number and the number of wireless network networking equipment,the Jiuzhaigou Ms7.0 earthquake,the Linzhi Ms6.9 earthquake in Tibet,the Mojiang Ms5.9 earthquake in Yunnan,the Cangwu Ms5.4 earthquake in Guangxi,the Wulong Ms5.0 earthquake in Chongqing and the Ms4.9 earthquake in Songyuan,Jilin Province,were analyzed by means of grid division,change rate calculation and interpolation analysis.The time points and data indexes between the interpolation results and the location of the extreme earthquake area in the intensity map are selected.Finally,through the summary and analysis,it is found that the active Wi Fi number and the number of wireless network networking devices have the best response effect after the earthquake,among which the active Wi Fi number has the delay phenomenon,but it is better to determine the direction of the extreme earthquake area,the number of wireless network networking devices is better in real time,and the effect is better in determining the epicenter position.Through the detailed analysis of six earthquake examples in this paper,the data with good fitting effect of index data and intensity map after earthquake can be found out,which shows that the mobile phone position data may be applied to the acquisition of seismic extreme earthquake area,and the interpolation results of index change and intensity map fit well in each earthquake,and the magnitude is larger.In this paper,the interpolation results of the change rate are divided into several intervals,and the fitting effect between the interpolation results and the intensity map is the two regions with the largest increase or decrease of the index near the epicenter,which indicates that the position of the area affected by the earthquake is relatively coincident with the location of the extreme earthquake area,which shows that the interpolation results are divided into several intervals,and the interpolation results fit the intensity map withthe largest increase or decrease of the index near the epicenter,indicating that the position of the area affected by the earthquake is relatively coincident with that of the extreme earthquake area.The interpolation results of earthquake change rate with large magnitude and the fitting effect of intensity map are earlier.The best time for earthquake fitting with large magnitude is 2 minutes,and the better time for earthquake fitting with small magnitude is more than 5 minutes.In this paper,it is preliminarily proved that the mobile phone location data can be applied to the study of determining the location and range of the extreme earthquake area after the earthquake,but the representative indexes need to be further excavated.At the same time,the study of many problems,such as quickly judging the direction of earthquake influence field and road blockage after earthquake,will also be the direction of the next step.