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2012年新疆洛浦MS6.0地震前卫星热红外亮温时空演变特征分析
邵楠清1,2, 孟庆岩2, 魏鸣1, 卢显3, 张颖2
1.南京信息工程大学, 南京市宁六路219号 210044;2.中国科学院遥感与数字地球研究所, 北京市海淀区邓庄南路9号 100101;3.中国地震台网中心, 北京 100045
摘要:
本文处理了新疆洛浦MS6.0地震前后卫星热红外亮温(TBB)数据,对异常信息的时空演变进行分析,并考虑了天气因素的影响。研究发现,震前亮温异常主要分布在震中西北方向,高值区位于震中以西巴楚县附近,异常呈条带状分布,其西北-东南走向与附近断裂带方向一致;异常出现在洛浦地震前14天,共2次,时间上经历较强-弱-强-弱的变化过程,第1次异常持续时间较短,第2次异常持续长达4天,之后迅速衰减并消失,亮温异常值增幅十分明显。结果表明,新疆洛浦地震前存在明显的红外亮温异常现象,亮温变化与洛浦地震发震似具有较好的相关性。
关键词:  卫星遥感  热红外亮温异常  时空分布特征  地震
DOI:
分类号:P315
基金项目:高分辨率对地观测系统国家重大科技专项项目“遥感地震监测与应急应用示范系统(一期)高分红外亮温背景场影响因素研究”(31-Y30B09-9001-13/15)、中科院卓越中心亚洲减灾课题(Y3YI2702KB)、国家自然科学基金资助项目“基于机载LiDAR数据的城市绿度空间指数模型研究”(41471310)、政府间国际科技创新合作重点专项两岸联合资助项目“基于热红外遥感和电离层信息的地震监测预测技术研究”(2016YFE0122200)共同资助
Temporal and spatial variation characteristics of anomalous satellite thermal infrared brightness temperature before the 2012 Lop MS6.0 earthquake
Shao Nanqing1,2, Meng Qingyan2, Wei Ming1, Lu Xian3, Zhang Ying2
1.Nanjing University of Information Science & Technology, Nanjing 210044, China;2.Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences, Beijing 100101, China;3.China Earthquake Networks Center, Beijing 100045, China
Abstract:
Using the satellite thermal infrared brightness temperature data before and after the Lop MS6.0 earthquake,and taking into consideration of the weather factors,we analyze the time-varying spatial distribution and intensity of anomalies. The results show that the anomalies,which distributed like stripes with the same northwest-southeast orientation of fault zones,mainly located to the northwest of the epicenter and the areas of high value located in the vicinity of Bachu. Anomalies appeared 14 days before the earthquake and showed relatively strong initially. After a weak period,the anomalies reached the highest value and then decreased quickly and disappeared. So it can be concluded as two anomalies. The first one lasted for a short time and the second one lasted for 4 days,with prominent differences compared with normal values. According to the results,the anomalies correlate with the Lop earthquake very well in all respects of temporal and spatial evolution.
Key words:  Satellite remote sensing  Thermal infrared brightness temperature anomalies  Characteristics of temporal and spatial distribution  Earthquake