摘要
基于高光谱遥感数据,通过RST算法提取2020年7月12日唐山5.1级地震前不同参数异常信息,发现震前CH_(4)、CO、H_(2)O、O 3均出现了高值异常,且异常均位于震中附近,异常幅度高于2倍均方差,CH_(4)、CO、H_(2)O异常机理不同于O 3。通过统计2018—2020年CH_(4)、CO、H_(2)O三种气体出现频次,发现同步异常具有可靠性,认为高光谱多参数异常出现的同步性,可提高异常性质判定的信度。通过对不同参数进行连续跟踪观测,提取多参数同步异常信息,对地震短临预报具有一定参考意义。
By extracting the abnormal information from satellite hyperspectral data before the Tangshan M 5. 1 earthquake on July 12,2020,we found that overall CH_(4), CO, H_(2)O, and O 3 had high-value anomalies before the earthquake. The anomalies are all found near the epicenter,and the anomaly amplitudes are 2 times higher than the mean square error. The abnormal mechanism of CH_(4),CO and H_(2)O is different from that of O 3. Based on statistics of the frequency of occurrence of the three gases CH_(4),CO,and H_(2)O from 2018 to 2020,we believe that the synchronization anomaly is reliable. The synchronization of hyperspectral multi-parameter abnormality can improve the reliability of abnormality determination. Through continuous tracking of different parameters,it has certain reference significance for short-term earthquake prediction.
作者
丁志华
崔月菊
唐杰
Ding Zhihua;Cui Yueju;Tang Jie(Hebei Earthquake Agency,Shijiazhuang 050021,China;Key Laboratory of Earthquake Prediction,Institute of Earthquake Forecasting,CEA,Beijing 100036,China)
出处
《中国地震》
北大核心
2022年第3期494-502,共9页
Earthquake Research in China
基金
国家重点研发计划专题“星地联合的近地表气体背景场构建与地震异常识别”(2019YFC1509203-6)
河北省地震局科技星火计划项目(DZ202108090107、DZ20190415003、DZ20180322026、DZ20160406028)共同资助。
关键词
高光谱
多参数
异常提取
RST算法
Hyperspectral
Multiple parameters
Anomaly extraction
RST algorithm
