【摘要】：從海量對(duì)地觀測(cè)數(shù)據(jù)中有效識(shí)別出構(gòu)造活動(dòng)異常信息并揭示其時(shí)空演變特征是地震防災(zāi)減災(zāi)的重大需求。本論文針對(duì)地震遙感熱異常識(shí)別中亟需解決的關(guān)鍵問(wèn)題,顧及地球系統(tǒng)多圈層耦合效應(yīng),利用地表溫度、近地表氣溫、熱紅外亮溫、溫度日較差、長(zhǎng)波輻射、地表潛熱通量等多個(gè)熱參數(shù)及衛(wèi)星云圖、電離層參數(shù),開(kāi)展了基于全球綜合地球觀測(cè)系統(tǒng)(GEOSS)的地震遙感熱異常分析方法研究,并進(jìn)行了應(yīng)用驗(yàn)證。研究提出了地震遙感熱異常分析的LCA耦合模式,并基于GEOSS建立了兼顧偏量-時(shí)間-空間關(guān)系的熱異常分析方法(DTS-T);提出了基于NCEP-FNL數(shù)據(jù)的地震遙感熱異常逐像元分析方法,檢驗(yàn)了MERRA數(shù)據(jù)的適用性與優(yōu)勢(shì)；此外,還辨析了紅外亮溫與線性云異常的關(guān)系,探索了地表潛熱通量與電離層異常在中國(guó)西部地震前的準(zhǔn)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.
【學(xué)位授予單位】：中國(guó)礦業(yè)大學(xué)（北京）
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2013
【分類號(hào)】：P315.7;P237

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