基于GEOSS的地震遥感热异常时空分析方法与检验

发布时间：2018-11-26 10:04

【摘要】：从海量对地观测数据中有效识别出构造活动异常信息并揭示其时空演变特征是地震防灾减灾的重大需求。本论文针对地震遥感热异常识别中亟需解决的关键问题,顾及地球系统多圈层耦合效应,利用地表温度、近地表气温、热红外亮温、温度日较差、长波辐射、地表潜热通量等多个热参数及卫星云图、电离层参数,开展了基于全球综合地球观测系统(GEOSS)的地震遥感热异常分析方法研究,并进行了应用验证。研究提出了地震遥感热异常分析的LCA耦合模式,并基于GEOSS建立了兼顾偏量-时间-空间关系的热异常分析方法(DTS-T);提出了基于NCEP-FNL数据的地震遥感热异常逐像元分析方法,检验了MERRA数据的适用性与优势；此外,还辨析了红外亮温与线性云异常的关系,探索了地表潜热通量与电离层异常在中国西部地震前的准同步性。
[Abstract]:It is an important requirement for earthquake disaster prevention and mitigation to effectively identify the anomalous information of tectonic activity and reveal the characteristics of temporal and spatial evolution from massive Earth observation data. In this paper, aiming at the key problems that need to be solved in the identification of seismic remote sensing thermal anomalies, considering the coupling effect of multi-layer in the earth system, using the surface temperature, near-surface temperature, thermal infrared bright temperature, temperature diurnal range, long wave radiation, Several thermal parameters, such as surface latent heat flux, satellite cloud image and ionospheric parameters, are studied in this paper. The seismic remote sensing thermal anomaly analysis method based on the global integrated Earth observation system (GEOSS) is studied, and its application is verified. In this paper, the LCA coupling model of seismic remote sensing thermal anomaly analysis is proposed, and a thermal anomaly analysis method (DTS-T) based on GEOSS is established. The pixel analysis method of seismic remote sensing thermal anomaly based on NCEP-FNL data is put forward, and the applicability and advantage of MERRA data are tested. In addition, the relationship between infrared bright temperature and linear cloud anomaly is analyzed, and the quasi-synchronism between surface latent heat flux and ionospheric anomaly before earthquakes in western China is explored.
【学位授予单位】：中国矿业大学（北京）
【学位级别】：博士
【学位授予年份】：2013
【分类号】：P315.7;P237

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