陈鹏, 邱梁才, 姚宜斌, 朱成昌, 鲁杰瑞, 关星瑶, 洪扬, 孙世峥. 基于InSAR和光学影像解译的2023年甘肃积石山Ms 6.2震后地表形变和灾害分析[J]. 武汉大学学报 ( 信息科学版). DOI: 10.13203/j.whugis20240074
引用本文: 陈鹏, 邱梁才, 姚宜斌, 朱成昌, 鲁杰瑞, 关星瑶, 洪扬, 孙世峥. 基于InSAR和光学影像解译的2023年甘肃积石山Ms 6.2震后地表形变和灾害分析[J]. 武汉大学学报 ( 信息科学版). DOI: 10.13203/j.whugis20240074
CHEN Peng, QIU Liangcai, YAO Yibin, ZHU Chengchang, LU Jierui, GUAN Xingyao, HONG Yang, SUN Shizheng. Surface Deformation and Hazard Analysis after the 2023 Ms 6.2 Earthquake in Jishishan, Gansu Province Based on InSAR and Optical Imagery Interpretation[J]. Geomatics and Information Science of Wuhan University. DOI: 10.13203/j.whugis20240074
Citation: CHEN Peng, QIU Liangcai, YAO Yibin, ZHU Chengchang, LU Jierui, GUAN Xingyao, HONG Yang, SUN Shizheng. Surface Deformation and Hazard Analysis after the 2023 Ms 6.2 Earthquake in Jishishan, Gansu Province Based on InSAR and Optical Imagery Interpretation[J]. Geomatics and Information Science of Wuhan University. DOI: 10.13203/j.whugis20240074

基于InSAR和光学影像解译的2023年甘肃积石山Ms 6.2震后地表形变和灾害分析

Surface Deformation and Hazard Analysis after the 2023 Ms 6.2 Earthquake in Jishishan, Gansu Province Based on InSAR and Optical Imagery Interpretation

  • 摘要: 2023年12月18日甘肃省临夏州积石山县发生了Ms 6.2地震,导致建筑物被损毁并诱发了大量的同震滑坡,造成了严重的人员伤亡和社会经济损失。首先通过合成孔径雷达干涉测量( interferometric synthetic aperture radar,InSAR)技术获取了地表同震形变信息,并利用高分辨率光学影像对震中区域进行目视解译。然后,基于InSAR同震形变信息和高分辨率光学目视解译信息进行地灾提取;最后,对提取的地灾信息进行统计,并简要分析其形成的潜在因素。结果表明,地震导致震中东北侧两个断层间形成一处近似椭圆的隆起,其长、短轴分别约22.5 km和15 km,最大隆起接近8 cm,符合逆冲型地震运动特征。地震造成震中附近1 506处房屋损毁,震中距主要分布在5~25 km范围内,方位角主要在0°~30°和330°~360°之间,以砖木和土木结构的农村自建房为主;震中附近共解译出同震滑坡4 996处,震中距主要分布在5~30 km范围内,方位角在0°~60°和330°~360°之间,以小型黄土滑坡为主;其中寨子村大型滑坡体表面存在裂缝208条,滑坡和崩塌共计73处,存在重大安全隐患;中川乡滑坡-泥流受灾面积达456 982.10 m2,导致158间房屋损毁,道路损毁4 569 m。此次地震在震中5 km内未造成严重的地表灾害,说明受灾最严重的地区并不一定会集中在微观震中,这与地震波传递方向和区域地质状况有密切的关系。

     

    Abstract: Objective: On 18th December 2023, an Ms 6.2 earthquake struck Jishishan County, Linxia Prefecture, Gansu Province, China. It triggered significant building damage and induced numerous coseismic landslides, resulting in severe casualties and substantial socio-economic losses. The acquisition of post-earthquake surface deformation and disaster distribution information is of great guiding significance for disaster assessment and postdisaster reconstruction. Methods: Firstly, surface coseismic deformation information was obtained using interferometric synthetic aperture radar (InSAR). And, high-resolution optical imagery was employed for visual interpretation near the epicenter. Subsequently, seismic disaster extraction was performed based on co-seismic deformation information from InSAR and visual interpretation information from high-resolution optical images. Finally, the extracted seismic disaster information was statistically analyzed, and potential factors contributing to its formation were briefly analyzed. Results and Conclusions: The earthquake resulted in an approximately elliptical uplift between two faults to the northeast of the epicenter, with long and short axes measuring approximately 22.5 km and 15 km, respectively. The maximum uplift approached 8 cm, consistent with characteristics of thrust-type seismic motion. The earthquake destroyed 1 506 buildings near the epicenter, mainly affecting self-built rural houses made of brick, wood, and earth structures. The epicentral distance was primarily distributed within a range of 5 to 25 km, and the azimuths were predominantly between 0° to 30° and 330° to 360°. A total of 4 996 coseismic landslides were interpreted near the epicenter, primarily distributed within a range of 5 to 30 km distance to the epicenter, with azimuths between 0° to 60° and 330° to 360°, predominantly comprising small-scale loess landslides. Among these, the surface of the large landslide in Zhaizi Village exhibited 208 cracks and 73 landslides and collapses, posing significant safety hazards. The area affected by the flowslide in Zhongchuan Township was about 456 982.10 m2, destroying 158 buildings and 4 569 m of roads. The earthquake did not cause severe surface disasters within 5 km of the epicenter, indicating that the most severely affected areas may not necessarily concentrate around the micro-epicenter, which is closely related to the direction of seismic wave propagation and regional geological conditions.

     

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