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作 者:黄迦南 崔月菊[1] 邹镇宇[1] 张莹 刘兆飞 李婷婷 Huang Jianan;Cui Yueju;Zou Zhenyu;Zhang Ying;Liu Zhaofei;Li Tingting(Key Laboratory of Earthquake Prediction,Institute of Earthquake Forecasting,China Earthquake Administration,Beijing 100036;State Environmental Protection Key Laboratory of Satellite Remote Sensing,Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100101;School of the Earth and Resources,China University of Geosciences,Beijing 100083;Shandong Provincial No.3 Exploration Institute of Geology and Mineral Resources,Yantai,Shandong 264004)
机构地区:[1]中国地震局地震预测研究所,中国地震局地震预测重点实验室,北京100036 [2]中国科学院空天信息创新研究院,遥感科学国家重点实验室,北京100101 [3]中国地质大学(北京)地球科学与资源学院,北京100083 [4]山东省第三地质矿产勘查院,山东烟台264004
出 处:《地质科学》2024年第1期259-270,共12页Chinese Journal of Geology(Scientia Geologica Sinica)
基 金:国家重点研发计划课题(编号:2018YFE0109700);高压地震联合实验室开放基金项目(编号:2019HPPES08)资助。
摘 要:为了促进高光谱技术在地震有关气体监测中的应用,本文选取对近地表信息敏感度较强的近红外高光谱传感器TROPOMI的二级产品数据,分析研究了青藏高原东北缘和川滇地区地震相关气体时空特征及其与构造和地震活动关系,评价了近红外传感器在地震有关气体监测中的应用效果和应用前景。结果表明:TROPOMI反演的研究区CH_(4)和CO气体在时间上呈现明显的季节变化,受气候变化、地貌、人类活动等影响;空间上在银川、渭河和四川盆地表现为高值,受地质背景、地形地貌和人类活动等因素影响。目前近红外高光谱传感器在时间分辨率和有效数据量上具有一定的局限性,但是相对于热红外高光谱传感器,近红外传感器可以较好地反映气体与近地表构造的关系。未来随着近红外高光谱传感器的应用和发展,近红外数据可以逐渐弥补热红外传感器数据对近地表信息敏感度低的不足,提高异常与地震关系的判断力。In order to promote the application of hyperspectral technology in seismic-related gas monitoring,this paper selects near-infrared hyperspectral sensors with strong sensitivity to near-surface information to TROPOMI data and evaluates the application effect of near-infrared sensors in seismic-related gas monitoring in the northeast margin of the Qinghai-Tibet Plateau and the Sichuan-Yunnan region.The results show that the CH_(4) and CO gas in the study area of TROPOMI inversion show obvious seasonal variation in time,which is affected by climate change,landform and human activities,and the high value in Yinchuan,Weihe River and Sichuan Basin is affected by geological background,topography and human activities.Although the time resolution of the near-infrared sensor data and the data efficiency in the Sichuan-Yunnan region are poor,it can't be effectively applied to earthquake monitoring and prediction,but compared with the thermal infrared hyperspectral sensor,the near-infrared sensor can better reflect the near-surface structural characteristics.With the development and application of near-infrared hyperspectral sensors,near-infrared data can gradually make up for the low sensitivity of thermal infrared sensor data to near-surface information and improve the judgment of the relationship between anomalies and earthquakes.
关 键 词:TROPOMI 青藏高原东北缘 川滇地区 断裂带排气
分 类 号:P315.72[天文地球—地震学] TP79[天文地球—固体地球物理学]
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