2016年12月8日新疆呼图壁县M_s6.2地震前热红外亮温异常分析
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摘要
以2016年12月8日新疆昌吉州呼图壁县M_s6. 2地震为实际研究对象,选择FY-2E静止气象卫星每小时亮度温度产品数据,利用功率谱相对变化法提取出地震前后亮温异常时空变化.然后,提出了时间窗口移动平滑方法来提取热红外异常指数,利用该指数提取了地震前后地表热红外异常的时空分布.经对比分析,发现2种方法均能有效提取出地震前后亮温异常变化情况,并且其变化发展的趋势相类似,但热红外异常对应的发生时间和持续周期则有所差异.综合2种方法可知,新疆呼图壁县M_s6. 2地震发生30 d之前存在一个持续时间长达10 d以上的热红外异常增温期,然后在临震时又有一个热红外异常增温期,其趋势呈逐渐增强,在震后的数天内达到峰值,然后逐渐减弱消失.
In order to analyze the possible thermal infrared anomalies in the epicentral area of Hutubi M_s6. 2 earthquake occurred on December 8,2016,the brightness temperature data were collected from Chinese Geostationary Meteorological Satellite FY-2 E. They were processed by using power spectrum transform method firstly. And then,a thermal infrared anomaly index based on time smoothing over particular period was proposed to calculate the degree of the anomaly in this paper. The thermal infrared anomalies extracted by the two methods were compared and analyzed. The results show that both of these methods can find the thermal infrared anomalies with a similar development trend. However,the thermal anomaly found by each method began at different times and lasted for different periods. By considering both results of the two methods,a period lasted over 10 days with high brightness temperature can be found 30 days before the Hutubi M_s6. 2 earthquake. In addition,it exists another high brightness temperature period several days before Hutubi M_s6. 2 earthquake. It is gradually expanded over time and tended to peak when the earthquake occurred. At last,the anomaly shrank after the earthquake until completely disappeared.
In order to analyze the possible thermal infrared anomalies in the epicentral area of Hutubi M_s6. 2 earthquake occurred on December 8,2016,the brightness temperature data were collected from Chinese Geostationary Meteorological Satellite FY-2 E. They were processed by using power spectrum transform method firstly. And then,a thermal infrared anomaly index based on time smoothing over particular period was proposed to calculate the degree of the anomaly in this paper. The thermal infrared anomalies extracted by the two methods were compared and analyzed. The results show that both of these methods can find the thermal infrared anomalies with a similar development trend. However,the thermal anomaly found by each method began at different times and lasted for different periods. By considering both results of the two methods,a period lasted over 10 days with high brightness temperature can be found 30 days before the Hutubi M_s6. 2 earthquake. In addition,it exists another high brightness temperature period several days before Hutubi M_s6. 2 earthquake. It is gradually expanded over time and tended to peak when the earthquake occurred. At last,the anomaly shrank after the earthquake until completely disappeared.
引文
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[14]卢显,孟庆岩,顾行发,等. 2010年西藏聂荣Ms5. 7和Ms5. 5地震前后热红外异常分析[J].地震,2017,37(4):144-151.
[2]屈春燕,单新建,马瑾.地震活动性热红外异常提取方法研究[J].地球科学进展,2006,21(7):699-705.
[3]郭晓,张元生,钟美娇,等.提取地震热异常信息的功率谱相对变化法[J].地球物理学报,2010,53(11):2688-2695.
[4]郭晓,张元生,魏从信,等. 2008年于田Ms7. 3和2010年玉树Ms7. 1两次地震前中波红外遥感异常研究[J].地震学报,2014,36(2):175-183.
[5]张璇,张元生,魏从信,等.云南彝良5. 7级地震前卫星热红外异常[J].地震工程学报,2013,35(1):171-176.
[6]魏从信,张元生,郭晓.中国大陆及邻近海域的中强地震热红外异常研究[J].红外,2014,35(10):33-40.
[7]郭晓,张元生,魏从信,等.汶川8. 0级和仲巴6. 8级地震中波红外热辐射异常[J].地球学报,2014,35(2):338-344.
[8]李金平,吴立新,刘善军,等.强震前热红外异常识别方法与定量分析模型[J].中国矿业大学学报,2008,37(6):808-813.
[9]闫丽莉,屈春燕,温少妍,等.卫星热红外亮温、气温及地温观测的年变化对比研究[J].地震学报,2012,(34)2:257-266.
[10]钟美娇,张元生,张璇,等.祁连山地震带中强地震前热红外异常研究[J].地震工程学报,2015,37(4):1073-1076.
[11]荆凤,申旭辉,张铁宝,等.与地震有关的活动断裂带红外辐射变化特征[J].国土资源遥感,2013,25(1):56-60.
[12]孟庆岩,卢显,邵楠清,等.地震红外背景场研究进展与示范区亮温背景场构建[J].地震学报,2016,38(3):438-447.
[13]邵楠清,孟庆岩,魏鸣,等.基于背景场的地震亮温异常时空演变分析——以2014年新疆于田Ms7. 3级地震为例[J].科学技术与工程,2016,16(19):136-141.
[14]卢显,孟庆岩,顾行发,等. 2010年西藏聂荣Ms5. 7和Ms5. 5地震前后热红外异常分析[J].地震,2017,37(4):144-151.