| 卫星遥感热红外辐射信息与云南永胜6.0级地震 |
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| 引用本文： | 刘放,程万正,但尚铭.卫星遥感热红外辐射信息与云南永胜6.0级地震[J].地震研究,2003,26(2):120-125. |
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| 作者姓名： | 刘放 程万正 但尚铭 |
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| 作者单位： | 1. 四川省地震局,四川成都,610041
2. 四川省气象局,四川成都,610072 |
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| 基金项目： | 四川省科委重点研究项目，国家重点基础研究发展规划项目《大陆强震机理与预测》 ( 95 13 0 5 0 5 )课题资助 |
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| 摘 要： | 对利用气象卫星遥感热辐射信息进行地震监测预报时必须考虑的不同星号、不同通道、不同时段及不同分辨率等问题进行了讨论，并为此进行了多种应用方法的计算和比较，介绍了相应的气象卫星遥感热辐射信息资料处理方法及研制的计算软件。在此基础上，对200l年10月27日云南水胜6．0级地震前的卫星遥感热辐射信息及其异常的时空分布特征进行了分析和研究。研究表明：地震前一个月左右，从计算结果中可以发现明显的高频次异常图像；同时，在空间分布上呈现出“大范围减温异常一大范围增温异常-地震”这样一个过程。
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| 关 键 词： | 卫星遥感热红外辐射信息 云南 地震监测 资料处理 时空分布 |
Satellite RS(Remote Sensing) Thermal Infrared Radiation Data and the Yongsheng Earthquake of M6.0 in Yunnan |
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| Liu Fang Cheng Wanzheng Dan Shangming Seismological Bureau of Sichuan Province,Chengdu ,China Meteorological Bureau of Sichuan Province,Chengdu ,China.Satellite RS(Remote Sensing) Thermal Infrared Radiation Data and the Yongsheng Earthquake of M6.0 in Yunnan[J].Journal of Seismological Research,2003,26(2):120-125. |
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| Authors: | Liu Fang Cheng Wanzheng Dan Shangming Seismological Bureau of Sichuan Province Chengdu China Meteorological Bureau of Sichuan Province Chengdu China |
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| Institution: | Liu Fang 1) Cheng Wanzheng 1) Dan Shangming 2) 1)Seismological Bureau of Sichuan Province,Chengdu 610041,China 2)Meteorological Bureau of Sichuan Province,Chengdu 610072,China |
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| Abstract: | The issues such as satellite RS thermal infrared radiation data collected by different satellites in different channels,time intervals and resolutions,which have to be taken into consideration while using for earthquake prediction,are discussed,and for this prupose methods and relevant computer software to process and analyze the data are compares and introduced.Further more,distributive characteristics in time and space of satellite RS thermal anomalies before the Yongsheng earthquake with M 6 0 on October 27,2001 in Yunnan are also studied on the basis.The results show distinct abnormal high frequency image from the 6 groups of data about one month before the earthquake and such process in space distribution,thermal decrease anomaly-thermal increase anomaly-earthquake. |
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| Keywords: | satellite remote sensing thermal infrared radiation earthquake prediction and epicenter |
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