机构地区:[1]新疆帕米尔陆内俯冲国家野外科学观测研究站,乌鲁木齐830011 [2]新疆维吾尔自治区地震局,乌鲁木齐830011 [3]甘肃兰州地球物理国家野外科学观测研究站,兰州730000
出 处:《地震地质》2024年第5期1192-1206,共15页Seismology and Geology
基 金:中国地震局地震预测研究所基本科研业务专项(2022IESLZ01-05);新疆维吾尔自治区自然基金(2022D03031);新疆地震科学基金(202401);新疆地震科学基金(202206)。
摘 要:文中以风云二号气象卫星黑体亮度温度产品为数据源,提取2008—2021年新疆及周边地区热红外相对功率谱异常,并对该地区的地震热红外异常进行分析。结果表明:1)热红外相对功率谱频段1对新疆及周边地区5级以上地震的对应率最高,为44%,但只有6.0~6.9级地震通过了显著性检验,R值为0.342,大于R_(0)(0.306)。5.0~5.9级地震的优势发震时间为异常开始后3个月内及结束后0.5个月内,6.0~6.9级地震则为异常结束后3个月内及7~12个月;各震级档的优势发震区域均为异常区边缘至周边200km范围内。2)热红外相对功率谱异常对应的6.0~6.9级地震的异常面积和持续时间与震级呈正相关,均通过显著性检验;峰值与震级在2个震级档内均未通过显著性检验。3)该异常在阿尔金地区出现的次数最多,且地震对应率较高;南疆地区的地震对应率高于北疆地区;盆地内的异常具有更高的地震对应率,且对应地震的震级更高。4)异常多发生于春季,而秋季异常的对应率最高。5)对应地震的震源机制解类型占比与新疆地区各地震类型的占比基本一致;震例多为浅源地震。Xinjiang and its surrounding areas are one of the regions with the most frequent seismic activities and the largest intensity in the Chinese mainland.Therefore,conducting relevant earthquake prediction research is crucial for disaster prevention and mitigation.However,due to the limited natural conditions and other factors in the region,the number of site observation stations is small and the their distribution density is low.It is difficult to carry out earthquake prediction only using site observation.Remote sensing technology has the advantages of being all-weather and large-scale.With the development of remote sensing technology,many scholars have found that there are different degrees of thermal anomalies before strong earthquakes.At present,a variety of thermal anomaly extraction methods have been formed.Among them,the relative power spectrum method can remove the thermal radiation changes affected by non-tectonic activity factors such as topography,ground object types,and meteorology to highlight the thermal radiation anomalies caused during earthquake preparation.This method has been applied in Xinjiang and surrounding areas for many years.However,in the past few years,the technique for studying seismic thermal anomalies in Xinjiang and its surrounding areas has primarily focused on a single seismic event,lacking systematic combing of earthquake cases and analysis of prediction efficiency.To further summarize the characteristics of seismic thermal infrared anomalies in Xinjiang and its surrounding areas,improve its prediction indicators,and improve the scientific and accuracy of earthquake prediction in this area,based on the blackbody brightness temperature data of FY-2 geostationary meteorological satellite,we extract the thermal infrared relative power spectrum anomaly of Xinjiang and surrounding regions from 2008 to 2021 by using the relative power spectrum method and analyze the prediction efficiency of earthquakes with different magnitudes,and summarizes the relationship between thermal infrared ano
分 类 号:P315.72[天文地球—地震学] P314[天文地球—固体地球物理学]
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