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2017年西藏米林6.9级地震前的热红外异常分析
引用本文:张丽峰,王培玲,张朋涛,孙玺皓.2017年西藏米林6.9级地震前的热红外异常分析[J].西北地震学报,2020,42(2):360-367.
作者姓名:张丽峰  王培玲  张朋涛  孙玺皓
作者单位:青海省地震局, 青海 西宁 810001
基金项目:青海省地震科学基金(2019B10)
摘    要:以小波变换和功率谱估计为研究方法,使用中国静止气象卫星热红外亮温数据,研究了2017年11月18日西藏米林MS6.9地震前的热辐射情况。结果发现震前4个月出现热红外异常,其后续演化方向与相关区域的断裂走向非常一致。在8月10日左右异常面积达最大,相对功率谱大于6倍的面积约为20万km^2,9月20日左右消失。分析相同频率2016年同期数据,结果显示在震中周围并未出现显著异常。时序曲线分析表明在8月12日相对功率谱达到峰值,为平均值的20倍,98天后米林地震发生;从7月4日到9月7日,地震当年相对功率谱偏离背景值和标准差,持续时间为65天。西藏地区的强震热红外异常表现出与地热资源分布较为一致的特征及特征周期相对较长的特点,为判定西藏地区的震情积累了一些经验。

关 键 词:相对功率谱  米林地震  热红外异常
收稿时间:2018/5/4 0:00:00

Thermal Infrared Anomalies before Milin MS6.9 Earthquake in 2017
ZHANG Lifeng,WANG Peiling,ZHANG Pengtao,SUN Xihao.Thermal Infrared Anomalies before Milin MS6.9 Earthquake in 2017[J].Northwestern Seismological Journal,2020,42(2):360-367.
Authors:ZHANG Lifeng  WANG Peiling  ZHANG Pengtao  SUN Xihao
Institution:Qinghai Earthquake Agency, Xining 810001, Qinghai, China
Abstract:In this study, we used the thermal infrared brightness data from China geostationary meteorological satellite to investigate the thermal anomalies before the Milin MS6.9 earthquake in Tibet, 2017. We used the methods of wavelet transformation and power spectrum estimation and found that the anomalies appeared four months before the Milin earthquake. The evolution direction of anomalies was very similar to the faults orientation in the study area. The anomaly area reached the maximum on August 10 and disappeared on September 20. We also analyzed the data for the same period and same frequency in 2016, and the results showed that no significant anomalies occurred around the epicenter. Time-series curves indicate that the peak value of the relative power spectrum appeared on August 12, 98 days before the Milin earthquake. The peak value was almost 20 times the average value. From July 4 to September 7, the relative power spectrum deviated from the background value and standard deviation for about 65 days. The thermal infrared anomalies of strong earthquakes in Tibet are mainly distributed in south-central Tibet, which is consistent with the distribution of geothermal resources, thus providing abundant experiences for predicting earthquakes in Tibet.
Keywords:relative power spectrum  Milin earthquake  thermal infrared anomalies
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