| 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CH4、CO、H2O、O3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,CH4、CO、H2O异常机理不同于O3。通过统计2018—2020年CH4、CO、H2O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。 |
| 关键词: 高光谱 多参数 异常提取 RST算法 |
| DOI： |
| 分类号:P315 |
| 基金项目: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 |
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| The Abnormal Characteristics of Hyperspectral Multi-parameter before the Tangshan M5.1 Earthquake on July 12,2020 |
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Ding Zhihua1, Cui Yueju2, Tang Jie1
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1.Hebei Earthquake Agency, Shijiazhuang 050021, China;2.Key Laboratory of Earthquake Prediction, Institute of Earthquake Forecasting, CEA, Beijing 100036, China
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| Abstract: |
| By extracting the abnormal information from satellite hyperspectral data before the Tangshan M5.1 earthquake on July 12,2020,we found that overall CH4, CO, H2O, and O3 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 CH4,CO and H2O is different from that of O3. Based on statistics of the frequency of occurrence of the three gases CH4,CO,and H2O 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. |
| Key words: Hyperspectral Multiple parameters Anomaly extraction RST algorithm |
