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中国沿海和内陆强震前地表潜热通量异常特征
引用本文:李金平,吴立新,温志勇,刘善军.中国沿海和内陆强震前地表潜热通量异常特征[J].科技导报(北京),2008,26(5):40-45.
作者姓名:李金平  吴立新  温志勇  刘善军
作者单位:[1]中国矿业大学3S与沉陷工程研究所,北京100083 [2]黑龙江工程学院测绘工程系,哈尔滨150050 [3]东北大学测绘遥感与数字矿山研究所,沈阳110004
基金项目:国家杰出青年科学基金项目(50525414)
摘    要:地表潜热通量(SLHF)是反映地表蒸发能量大小的大气参数。国外学者分析近年若干沿海地区的强震时发现,沿海强震震中附近在震前出现了潜热通量异常,而远离海域的内陆地震并未出现潜热通量异常。本文以近10年发生在中国的1次沿海强震和3次内陆强震为例,进行了震前SLHF异常的时空特征分析,发现震前3~10d,震中附近均出现了SLHF异常。该异常主要分布在震中及其周围地区,且与区域内的主要活动构造带走向一致。因此,SLHF异常可以成为一种有价值的大地构造活动性遥感监测指标,并为中国沿海和内陆地区强震提供有用的临震前兆信息。

关 键 词:地表潜热通量  大地构造活动  SLHF异常  卫星热红外  时空特征  遥感监测
文章编号:1000-7857(2008)05-0040-06
修稿时间:2008年2月15日

Studies on Abnormal Surface Latent Heat Flux Prior to Major Coastal and Terrestrial Earthquakes in China
LI Jinping,WU Lixin,WEN Zhiyong,LIU Shanjun.Studies on Abnormal Surface Latent Heat Flux Prior to Major Coastal and Terrestrial Earthquakes in China[J].Science & Technology Review,2008,26(5):40-45.
Authors:LI Jinping  WU Lixin  WEN Zhiyong  LIU Shanjun
Abstract:Surface Latent Heat Flux(SLHF) is an important atmospheric parameter,which is proportional to the evaporation from the Earth surface. Recent studies show that abnormal SLHF in an epicenter region usually occurs prior to several coastal earthquakes,without abnormal evidence in terrestrial regions far away from the coast. In this paper,the spatio-temporal features of SLHF anomaly of the epicenter regions of four earthquakes occurred in the past ten years in China,one near the coast and three far away from the coast,are studied. The analysis shows that abnormal SLHF occurred 3~10 days before the earthquakes without exception. The SLHF anomaly usually occurred in the epicenter or its surrounding area,and its spatial pattern was in accordance with the strike of local active faults. It is concluded that the SLHF anomaly can serve as a valuable index for the remote sensing monitoring of tectonic activity,and provide useful impending messages for both coastal and inland earthquakes in China.
Keywords:Surface Latent Heat Flux  tectonic activity  abnormal SLHF  satellite thermal infrared  spatio-temporal features  remote sensing monitoring
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