基于数据挖掘的甘肃武都殿沟泉氡异常与地震活动统计关系研究

殿沟泉气氡浓度在汶川地震后经常出现成簇高频震荡异常.应用数据挖掘方法,采用正规化、聚类、特征值计算等方法对氡观测数据和地震目录进行预处理,提取气氡异常、震级、震源深度和地震分区等参数,在此基础上采用贝叶斯网络模型开展殿沟泉氡异常与周边区域地震活动统计关系研究.利用聚类开展的地震分区结果显示与构造分区基本吻合,反映出不同...

Statistical relationship between the radon anomaly of Diangou spring and seismic activity in Wudu, Gansu based on data mining technology

High-frequency oscillatory anomalies of radon concentration in Diangou spring in Wudu City, Gansu Province often clustered after the Wenchuan earthquake. The radon observation data and seismic catalogue were preprocessed by using the data mining method, then the parameters such as radon anomaly, magnitude, focal depth, and seismic zonation were extracted. On this basis, Bayesian network model was adopted to study the statistical relationship between radon anomaly in Diangou spring and seismic activity in the surrounding area. The results of seismic zonation obtained from the clustering method were basically consistent with those of tectonic division, reflecting the clustering characteristics of seismic activities in different structural units. The results of Bayesian network model showed that the gas radon anomalies were related to the surrounding seismicity, especially the seismic activities in the middle segment of Longmenshan fault and the Qingchuan fault. The research results are helpful to understand the differential characteristics of gas radon response in Diangou spring to surrounding earthquakes, thus having reference significance for the judgment of gas radon anomaly and earthquake prediction in the future. It also provides a new technical idea and method for earthquake precursor anomaly analysis and seismic activity zonation.