Application Of Standard Annual Dynamic Curve Speciation Analysis Method In Underground Fluid Data Processing And Precursor Anomaly Information

Observation data from a station includes the station's inherent information and premonitory information.The inherent information reflects the relatively stable quasi-periodic variation characteristics formed by factors such as structural background,hydrological conditions,and climatic periodicity,and the precursor information reflects instantaneous variation characteristics due to the tectonic activity,hydrology,and meteorological conditions in a certain period of time.At present,the data used in fluid forecasting and precursory information processing methods use too little data,the data analysis methods are too complex and elaborate,and there are"endpoint effects"problems and the"do not know beforehand,afterwards find out"caused by"smoothness"problem.Based on the above ideas and problems,this paper establishes a standard annual dynamic curve with water(gas)radon data from 9 stations in Gansu.Through special data processing methods,this paper sum up the characteristics of spatiotemporal distribution that anomaly water(gas)radon precursor response by analyzing a large number of earthquake cases.After analysis,the following conclusions are drawn:1)The standard annual dynamic curve of nine stations in Gansu Province has three dynamic characteristics:the Fujianchang,Huaniu,Wushan No.1 Spring,Jiayuguan and Wushan No.22 wells reached high values in mid-July,while the Tongwei reach high value in mid-May.The standard annual dynamic curve of Diangou and Qingshui has become M-type,reaching high values in mid-May and mid-July,respectively.The standard annual dynamic curve of Jiuquan Minamata does not have obvious annual variation.2)9 station stations in Gansu Province performed well in the analysis of standard annual dynamic anomaly response coefficients.According to statistics,the seismic response within the study area was excellent at the 1×threshold and 2×threshold,and was 1×threshold and 2×threshold at M_S 5.0 and above.The response coefficient under the threshold can reach about 80%,and it is particularly sensitive to M_S 7.0 or above earthquakes.3)9 stations in Gansu province have performed well in the dynamic analysis of standard annual dynamic anomaly.The characteristics of pre-earthquake,co-earthquake and post-earthquake are obvious,and many stations have a positive or reverse similar response to the same earthquake case.The occurrence time of precursors is 1 months to 3 months before the earthquake,not only with short-term anomalies,but also with precursory anomalies of impending earthquakes,usually occurs in 1 weeks to1 months.4)9 stations in Gansu province have zonation and subsection characteristics on the spatial response of the standard annual dynamic,showing positive anomalies or negative anomalies on different faults,which occur specifically in Longmen mountain fault,Zongwulong mountain fault,Yushu-Ganzi fault,Ulan Ul Lake-Yushu fault,fault intersection of Burhan Buda mountain-Kunlun middle fault and Ela mountain.Wa yuxiangca-Lago fault,Zaduo fault,Minle fault and Lenglonglin fault.The stations have similar or opposite anomalies on the above faults.Through comprehensive analysis,it is considered that the method can eliminate the influence of post-earthquake effects on earthquake precursors and avoid the effect of“endpoint effect”,as well as using a large amount of data as a basis and using simple methods to process data.It can better identify precursory anomalies of groundwater radon information.This method provides new attempts for data processing and precursory analysis and forecast applications,is expected to play a better role.