基于时空联合的震前热异常提取方法研究

孟祥宇; MENG Xiangyu; 晁鲁; CHAO Lu; 宋冬梅; SONG Dongmei; 王斌; WANG Bin; 咏梅; YONG Mei

doi:10.48014/ais.20250226002

基于时空联合的震前热异常提取方法研究

Research on Pre-earthquake Thermal Anomaly Extraction Method Based on Spatiotemporal Combination

交叉科学学报 2025年第2卷第3期页码[139-148] 下载全文[12.9MB]

摘要

震前热红外辐射异常现象已成为评估区域地震危险性的重要参考指标。然而, 地表热辐射受大气辐射、地形、天气等多种因素的影响, 从中准确识别由构造活动引发的热异常仍是一项具有挑战性的研究。当前的震前热异常提取方法大多仅仅考虑时间域或者是空间域分析, 难以同时考虑时空特征。为此, 本文提出了一种兼顾时间特征和空间特征的震前热异常提取模型, 该模型包括原地温度的提取、原地涡度的计算、多年背景场影响的消除以及热异常的判定。采用MODIS LST数据, 就和田地震及尼泊尔地震发生前的热异常进行了提取和分析, 研究结果表明: (1) 提取的震前热异常在时空分布上与构造活动具有显著关联; (2) 地震年份的地壳活动相比非震年份更为强烈, LST异常更显著; (3) 震前热异常的变化并不单一, 而是呈现出周期性的强弱交替, 并在空间上反复波动。本文研究可为震前热异常的识别及地震监测提供新的方法支持和理论参考。

Abstract

The pre-earthquake thermal infrared radiation anomaly has become an important reference index for assessing regional seismic hazard. However, the surface thermal radiation is affected by various factors such as atmospheric radiation, topography and weather, making it a challenging research to accurately identify the thermal anomalies caused by tectonic activities. Most of the current pre-earthquake thermal anomaly extraction methods only consider time-domain or spatial-domain analysis, and it is difficult to simultaneously consider the spatio-temporal characteristics. Therefore, this paper proposes a pre-earthquake thermal anomaly extraction model that takes into account both temporal and spatial features. The model includes the extraction of in-situ temperature, the calculation of in-situ vorticity, the elimination of the influence of the multi-year background field, and the determination of thermal anomalies. Using MODIS LST data, the pre-earthquake thermal anomalies of the Hotan earthquake and the Nepal earthquake were extracted and analyzed. The research results show that: (1) The extracted pre-earthquake thermal anomalies have a significant correlation with tectonic activities in terms of spatio-temporal distribution; (2) The crustal activities in the earthquake year are more intense than those in the non-earthquake year, and the LST anomalies are more significant. (3) The changes in pre-earthquake thermal anomalies are not uniform, but show periodic alternation of strong and weak, and fluctuate repeatedly in space. The research in this paper can provide new method support and theoretical reference for the identification of pre-earthquake thermal anomalies and earthquake monitoring.

DOI

10.48014/ais.20250226002

文章类型

研究性论文

收稿日期

2025-05-06

接收日期

2025-06-06

出版日期

2025-09-28

关键词

热异常, RST, 小波变换, 涡度算法

Keywords

Thermal anomaly, RST, wavelet transform, vorticity algorithm

作者

孟祥宇^1,*, 晁鲁², 宋冬梅¹, 王斌¹, 咏梅³

Author

MENG Xiangyu^1,*, CHAO Lu², SONG Dongmei¹, WANG Bin¹, YONG Mei³

所在单位

1. 中国石油大学 (华东) 海洋与空间信息学院, 青岛 266580
2. 哈尔滨理工大学荣成学院, 威海 150086
3. 内蒙古师范大学, 呼和浩特 010022

Company

1. College of Oceanography and Spatial Information, China University of Petroleum (East China) , Qingdao 266580, China
2. Rongcheng College of Harbin University of Science and Technology, Weihai 150086, China
3. Inner Mongolia Normal University, Hohhot 010022, China

浏览量

下载量

291

基金项目

国家重点研发计划项目(2019YFC1509202-4);国家自然科学基金项目(41701513;61371189);山东省自然科学基金项目(ZR2022MD015);山东省重点研发计划项目(2019GGX101033)

参考文献

[1] 中国石油大学(华东). 一种基于时空联合的震前热异常提取方法: CN202310979838. 9[P]. 2023-09-05.
[2] Qiang Z. J. , Xu X. D. , Dian C. G. Case 27 thermal infrared anomaly precursor of impending earthquakes[J]. Pure & Applied Geophysics, 1997, 149(1): 159-171.
https://doi.org/10.1007/BF00945166.
[3] 强祖基, 徐秀登, 赁常恭. 卫星热红外图像亮温异常———短临震兆[C]//气象卫星遥感反演和应用学术会议. 2001.
[4] QIANG Zuji, YAO Qinglin, WEI Lejun, 等. The Annular Stress Thermal Field of Satellite Thermal Infrared Priorearthquakes震前卫星热红外环形应力场特征[J]. 地球学报, 2008, 29(4): 486-494.
https://doi.org/10.3321/j.issn:1006-3021.2008.04.011.
[5] 强祖基, 姚清林, 魏乐军, 等. 从震前卫星热红外图像看中国现今构造应力场特征[J]. 地球学报, 2009, 30(6): 873-884.
https://doi.org/10.3321/j.issn:1006-3021.2009.06.020.
[6] 徐秀登, 强祖基, 赁常恭. 突发性地面增温与临震前兆———以1988年澜沧、耿马7.6,7.2级地震为例[J]. 地震地质, 1990, 12(3): 243-250.
https://doi.org/10.1007/BF02919155.
[7] 徐秀登, 强祖基, 赁常恭. 卫星热红外图像与震兆异常--澜沧地震前热红外图像的启示[J]. 遥感学报, 1991, 6(4): 261-266.
https://doi.org/10.1007/BF02919155.
[8] 徐秀登, 徐向民, 王煜. 台湾南投7. 6级地震前卫星红外异常[J]. 地震学报, 2000, 22(6): 666-669.
https://doi.org/10.3321/j.issn:0253-3782.2000.06.014.
[9] 徐秀登, 徐保华. 芦山地震的红外增温异常分析[J]. 地学前缘, 2013, 20(3): 25-28.
[10] Tronin A. A. Satellite thermal survey-A new tool forthe study of seismoactive regions[J]. InternationalJournal of Remote Sensing, 1996, 17(8): 1439-1455.
https://doi.org/10.1080/01431169608948716.
[11] Tronin A. A. Thermal IR satellite sensor data applicationfor earthquake research in China[J]. InternationalJournal of Remote Sensing, 2000, volume 21(16): 3169-3177.
https://doi.org/10.1016/S0264-3707(02)00013-3.
[12] Tronin A. A. , Hayakawa M. , Molchanov O. A. . ThermalIR satellite data application for earthquake researchin Japan and China[J]. Journal of Geodynamics, 2002, 33(s4-5): 519-534.
https://doi.org/10.1016/S0264-3707(02)00013-3.
[13] Tronin A A. , Biagi P F. , Molchanov O A. , et al. Temperaturevariations related to earthquakes from simultaneousobservation at the ground stations and by satellitesin Kamchatka area[J]. Physics & Chemistry ofthe Earth Parts A/b/c, 2004, 29(4-9): 501-506.
https://doi.org/10.1016/j.pce.2003.09.024.
[14] 吴立新, 刘善军, 吴育华, 等. 遥感-岩石力学(I)--非连续组合断层破裂的热红外辐射规律及其构造地震前兆意义[J]. 岩石力学与工程学报, 2004, 23(1): 24-30.
[15] 吴立新, 刘善军, 吴育华, 等. 遥感-岩石力学(Ⅱ)--断层双剪粘滑的热红外辐射规律及其构造地震前兆意义[J]. 岩石力学与工程学报, 2004, 23(2): 192-198.
[16] 吴立新, 刘善军, 吴育华, 等. 遥感-岩石力学(IV)--岩石压剪破裂的热红外辐射规律及其地震前兆意义[J]. 岩石力学与工程学报, 2004, 23(4): 539-544.
[17] 马瑾, 汪一鹏, 陈顺云, 等. 卫星热红外信息与断层活动关系讨论[J]. 自然科学进展, 2005, 15(12): 1467-1475.
[18] 马瑾, 陈顺云, 刘培洵, 等. 用卫星热红外信息研究关联断层活动的时空变化--以南北地震构造带为例[J]. 地球物理学报, 2006, 49(3): 816-823.
https://doi.org/10.3321/j.issn:0001-5733.2006.03.025.
[19] 刘德富, 罗灼礼. 强烈地震前的OLR 异常现象[J].地震, 1997, 17(2): 7.
DOI:CNKI:SUN:DIZN.0.1997-02-001
[20] 吕琪琦, 丁鉴海, 崔承禹. 1998年1月10日张北6. 2级地震前可能的卫星热红外异常现象[J]. 地震学报, 2000, 22(2): 6.
https://doi.org/10.3321/j.issn:0253-3782.2000.02.011.
[21] 徐好民, 王煜, 唐方头, 等. 卫星热红外预报地震研究新进展[J]. 地球信息科学, 2001, 3(4): 7.
https://doi.org/10.3969/j.issn.1560-8999.2001.04.004.
[22] 徐秀登, 徐向民. 地震前红外异常的基本特征与成因机理[J]. 西北地震学报, 2001, 23(003): 310-312.
https://doi.org/10.3969/j.issn.1000-0844.2001.03.021.
[23] Dimitar Ouzounova, Nevin Bryantb, Thomas Loganb, etal. Satellite thermal IR phenomena associated withsome of the major earthquakes in 1999-2003[J]. Physicsand Chemistry of the Earth, 2006, 31: 154-163.
https://doi.org/10.1016/j.pce.2006.02.036.
[24] 陈顺云, 马瑾, 刘培洵, 刘力强, 陈国强. 中国地表亮度温度年变基准场[J]. 地震地质, 2004(03): 528-538.
https://doi.org/10.3969/j.issn.0253-4967.2004.03.017.
[25] Saradjian M R, Akhoondzadeh M. Thermal anomaliesdetection before strong earthquakes(M>6. 0)using interquartile, wavelet and Kalman filter methods[J]. Natural Hazards & Earth System Sciences, 2011, 11(4): 1099-1108.
https://doi.org/10.5194/nhess-11-1099-2011.
[26] 张璇, 张元生, 郭晓, 等. 尼泊尔8.1级地震卫星热红外异常解析[J]. 地学前缘, 2017, 24(2): 7.
https://doi.org/10.13745/j.esf.2017.02.022.
[27] 王一博. MODIS地震热异常的数据处理与算法研究[D]. 青岛: 中国石油大学(华东), 2014

引用本文

孟祥宇, 晁鲁, 宋冬梅, 等. 基于时空联合的震前热异常提取方法研究[J]. 交叉科学学报, 2025, 2(3): 139-148.

Citation

MENG Xiangyu, CHAO Lu, SONG Dongmei, et al. Research on pre-earthquake thermal anomaly extraction method based on spatiotemporal combination[J]. Acta Interdisciplinary Science, 2025, 2(3): 139-148.