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2016-08-24缅甸M_S6.9地震热红外异常研究
引用本文:何案华,邓卫平,李国佑.2016-08-24缅甸M_S6.9地震热红外异常研究[J].大地测量与地球动力学,2017,37(10):1092-1095.
作者姓名:何案华  邓卫平  李国佑
摘    要:利用中国静止气象卫星FY-2E/G热红外亮温资料,采用小波变换和相对功率谱法对2016-08-24缅甸M_S6.9地震震前热红外资料进行分析。研究表明,地震震前存在显著的亮温变化,其热异常现象具体特征为:1)在2016-04-26开始出现热异常,相较以往震例表现出异常凸显、出现时间早且持续时间久的特点;2)异常区的时移性,该次异常区范围随时间推移逐渐扩大,至震前2个月左右异常面积达到最大,随后逐渐衰减直至完全消失;3)功率谱信息表现出增强的特征,异常持续时间在50d以上,特征周期为16d,最大相对变化率大于16倍。

关 键 词:缅甸6.9级地震  静止卫星  热红外遥感  相对功率谱  亮温变化  

Analyses of Temperature Drift in Qinghai Geothermal Network
HE Anhua,DENG Weiping,LI Guoyou.Analyses of Temperature Drift in Qinghai Geothermal Network[J].Journal of Geodesy and Geodynamics,2017,37(10):1092-1095.
Authors:HE Anhua  DENG Weiping  LI Guoyou
Abstract:We found that observed-data drifts are common phenomena by analyzing the multi-year temperature variation trends of 15 fluid observation wells in Qinghai province. The drift of 6 wells exceed 0.01 ℃/a, which is the limitation in the observed network. There are no correlations between temperature drift, water level and air-temperature, and no rule is found in drift distribution. We cannot draw conclusions about the relations between temperature drift, regional stress and strain status. The infection point of temperature trends are generated by the earthquakes or changes the observed positions in Yushu and Geermu wells, which implies that the observation system (instrument & sensor) is not the unique reason for temperature drift. To reject the drift by changing the means of observation, by comparing two different thermometers, is not possible.
Keywords:geothermal observation network  data drift  thermometer  observation system  earthquake  
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