摘要
近年来,利用卫星技术通过测量地—气系统的红外辐射来探测地表的热状况,使热红外遥感在地震预测方面取得了显著成就。本文回顾了红外遥感资料应用于地震预测的研究成果,阐述了地震热红外短临预测方法的研究进展及应用实效,介绍了利用热红外遥感信息研究断层活动变化的探索与发展,探讨了地震热红外异常发生的机理,并就该技术的应用与理想效果之间的差距提出了未来工作的研究重点。
In recent years, the heat status of the earth surface has been detected by the infrared radiation of the earth—gas system, and the satellite thermal infrared remote sensing has made remarkable achievements in earthquake prediction. This paper reviews the research results of infrared remote sensing data which is applied to earthquake prediction, expounds the progress and application of the earthquake thermal infrared short term prediction, and finds that the improvement of infrared short term and impending precursor extraction method can effectively remove most of the non seismic factors, reduce the difficulty of determining the three elements of earthquake, and improve the reliability of earthquake occurrence time and location prediction. This paper also exhibits the exploration and development of the fault activity by using thermal infrared remote sensing information. Most of the research can obtain the infrared radiation characteristics of the fault zone and the related information of the activity changes. Although the different variations of the intensity and amplitude in fault segments can not be completely attributed as faulting anomaly before the earthquake, however, the results of the study can provide some information to understand the regional tectonic deformation and fault activity strength, provide some clues to determine the location of the epicenter and active faults, and give some help for the long term prediction of regional seismic hazard. At last we discuss the mechanism of the earthquake thermal infrared anomaly. In view of the gap between the application of the technology and the ideal effect, this paper proposes the research emphasis of future work.
出处
《地质论评》
CAS
CSCD
北大核心
2016年第2期381-388,共8页
Geological Review
基金
兰州地球物理国家野外科学观测研究站开放基金资助项目(编号:2014Y01)的成果~~
关键词
卫星热红外遥感
地震预测
断层活动
应用进展
satellite thermal infrared remote sensing
earthquake prediction
application progress