以强震前电离层TEC变化的观测事实为基础，以天地同震理论、TEC的地球化学输送途径为前提，遵循气体上升的物理化学动力过程，建立强震断层逸出气体卫星高光谱溯源模型，按垂直分层和水平多尺度及多时间分辨率进行任务分解，最终以9个步骤完成震前震中区的目标识别，定位精度在5 km×5 km以下。
Based on the observation of ionosphere TEC changes before strong earthquakes, on the premise of the theory of space-earth co-seismicity and the geochemical transport path of TEC, following the physical and chemical dynamic process of gas rising, this study has established a satellite hyper-spectral traceability model for strong earthquake fault gases emission, which decomposes tasks according to vertical layering and horizontal multi-scale and multi-time resolution. Finally, the target identification in the epicenter area before an earthquake is completed by nine steps with a positioning accuracy of smaller than 5 km×5 km.
2022,43(S1): 189-195
DOI：10.3969/j.issn.1003-3246.2022.S1.062
基金项目：国家重点研发项目“基于地壳形变场、温度场、流体场耦合的地震监测技术研究”中第三课题“卫星高光谱气体溯源应用技术系统”（项目编号：2019YFC1509203）
作者简介：赵谊(1961-),男,博士,研究员,主要从事地震分析预报和火山研究工作。E-mail:jeosph@126.com
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