| 提取地震热异常信息的功率谱相对变化法及震例分析 |
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| 引用本文： | 郭晓,张元生,钟美娇,沈文荣,魏从信.提取地震热异常信息的功率谱相对变化法及震例分析[J].地球物理学报,2010,53(11):2688-2695. |
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| 作者姓名： | 郭晓 张元生 钟美娇 沈文荣 魏从信 |
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| 作者单位： | 1. 中国地震局兰州地震研究所, 兰州 730000;
2. 中国地震局地震预测研究所兰州创新基地, 兰州 730000 |
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| 基金项目： | 国家科技支撑计划项目,中国地震局地震预测研究所基本科研业务专项项目 |
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| 摘 要： | 本文以静止卫星长波辐射资料为数据源,针对其资料的变化特征,提出了一种地震热异常信息提取的方法,即"功率谱相对变化法".并应用该方法对汶川地震以及有资料覆盖的中国大陆其余5次6.5级以上地震进行了分析研究.结果表明,地震前均出现了不同程度的功率谱信息增强现象,特征周期与特征幅值表现为位于潮湿(低海拔)地区的地震特征周期较短,特征幅度峰值较小,而位于较干旱(高海拔)地区的地震特征周期较长,特征幅度峰值较大;这些特征值便于被识别;该信息提取方法可有效应用于地震相关信息的提取和分析中.
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| 关 键 词： | 汶川地震 长波辐射 功率谱估计 相对变化率 |
| 收稿时间： | 2010-07-15 |
Variation characteristics of OLR for the Wenchuan earthquake |
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| GUO Xiao,ZHANG Yuan-Sheng,ZHONG Mei-Jiao,SHEN Wen-Rong,WEI Cong-Xin.Variation characteristics of OLR for the Wenchuan earthquake[J].Chinese Journal of Geophysics,2010,53(11):2688-2695. |
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| Authors: | GUO Xiao ZHANG Yuan-Sheng ZHONG Mei-Jiao SHEN Wen-Rong WEI Cong-Xin |
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| Institution: | 1. Lanzhou Institute of Seismology, CEA, Lanzhou 730000, China;
2. Lanzhou Base of Institute of Earthquake Prediction CEA, Lanzhou 730000, China |
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| Abstract: | Based on the outgoing long-wave radiation data of geostationary satellite and their variation characteristics, this paper proposes a method for extracting earthquake thermal infrared anomaly, namely, the relative variance rate of power spectrum estimation. The proposed method is applied to analytical study of OLR for the Wenchuan earthquake and other five Ms≥6.5 earthquakes in Mainland China. The results indicate that the power spectrum amplitude of OLR increased to different degrees before the great earthquakes. Characteristic period and characteristic amplitude are short and small in moist (low altitude) areas respectively, while the period and amplitude are long and big in arid (high altitude) areas respectively. The characteristics of observed thermal infrared anomalies are easy to be recognized. The method is very effective for extracting and analyzing earthquake-related information. |
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| Keywords: | Wenchuan earthquake OLR Power spectrum estimation Relative variance rate |
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