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山东省地表温度变化与地震活动关系探讨
引用本文:马俊飞,李炜,史雯.山东省地表温度变化与地震活动关系探讨[J].地震地磁观测与研究,2017,38(5):121-126.
作者姓名:马俊飞  李炜  史雯
作者单位:1. 中国山东 266300 胶州市地震局;2. 中国山东 266034 青岛市地震监测中心
基金项目:山东省地震局合同制科研项目(项目编号:12Y05);青岛市地震局地震监测、防御、应急专项课题(项目编号:17Z207)
摘    要:使用遥感数据探讨山东省地表温度变化与地震活动的关系。选取2000—2016年MODIS地表温度数据,计算山东省地表温度变异系数(CV)并绘图,与活动断裂、地震震中等图层进行空间分析。结果表明,活动断裂与震中附近地表温度的变异系数明显升高,空间标准差降低,说明地震活动较强区域地表温度变化幅度与普遍性均高于其他地区,地表温度变化与地震活动存在一定相关关系。胶东半岛地区的地表温度变化高于鲁西鲁中地区,可能预示着未来该地区地震活动性增强。

关 键 词:地震  地表温度  变异系数  遥感  MODIS

Study on relationship between land surface temperature variation and seismic activity of Shandong Province
Ma Junfei,Li Wei,Shi Wen.Study on relationship between land surface temperature variation and seismic activity of Shandong Province[J].Seismological and Geomagnetic Observation and Research,2017,38(5):121-126.
Authors:Ma Junfei  Li Wei  Shi Wen
Institution:1. Jiaozhou Earthquake Agency, Shandong Province 266300, China;2. Qingdao Earthquake Monitor Center, Shandong Province 266034, China
Abstract:To find the relationship between Land surface temperature variation and earthquake, MODIS land surface thermal data between 2000-2016 are used to calculate the Coefficient of Variation(CV) of land surface temperature of Shandong Province. The result, a raster map, are then overlapped, buffered and zonal counted with other parameters such as active fault and epicenter map. Results show that there is a remarkable enhancement of the land surface temperature CV near both active faults and epicenters. The spatial Standard Deviation of the thermal CV are lower in above mentioned area, showing the land surface temperature changes there are common phenomena. From those facts, we can safely infer that a connection does exist between land surface thermal variation and seismic activities. Research also finds that the Jiaodong peninsula got a higher land surface temperature CV than those of middle and west Shandong area, which probably predicts higher seismic activities in this area in the future.
Keywords:earthquake  land surface temperature  coefficient of variation  remote sensing  MODIS
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