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2022年马尔康6.0级震群同震滑坡空间分布规律分析

Analysis of spatial distribution law of co-seismic landslides in Maerkang 6.0 earthquake swarm in 2022
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摘要 为做好四川马尔康地区的滑坡灾害预防工作,针对2022年6月10日马尔康市接连发生的Ms5.8级、Ms6.0级、Ms5.2级地震所引发的滑坡灾害,建立了基于四川省历史地震数据的数据库,运用FCNN模型对此次震群诱发的滑坡空间分布进行分析,并提取马尔康境内主要水电站流域,进行滑坡易发性分析。结果表明:①68.56%的滑坡落入极高、高易发区,与卫星影像解译滑坡的结果相符;②此次地震引发的滑坡灾害数量庞大、分布广泛、规模不均,主要集中在松岗断裂带北侧和龙子坝断裂带西北侧,地形起伏为36~107 m,坡度为16°~48°;③脚木足河、茶堡河水电站流域均为滑坡高度发育区,盘龙河水电站流域上游为滑坡高度发育区,下游处于中低易发区域,区域内滑坡受水力侵蚀、地形变化的强烈控制;④将FCNN模型预测结果与影像解译、地质灾害现场调查数据对比,验证了模型预测准确率达75%以上。研究成果对马尔康地区滑坡灾害的监测与防控具有理论与工程实践参考价值。 To effectively prevent and control the landslide disasters in the Maerkang area of Sichuan Province,aiming at the landslide disasters triggered by the Ms5.8,Ms6.0,and Ms5.2 earthquakes that occurred consecutively in Maerkang City on June 10,2022,a database based on historical seismic data in Sichuan Province was established and the spatial distribution of landslides induced by this swarm was analyzed by FCNN model.Moreover,the main hydropower station basins within Maerkang were extracted to conduct landslide susceptibility analysis.The results showed that:①68.56%of the landslides fell into the very high and high susceptibility zones,and the prediction results were in line with those interpreted from the satellite images.②The earthquake-induced landslide disasters were large in number,widely distributed,and uneven in scale,mainly concentrated in the north side of the Songgang Fracture Zone and the northwest side of the Longziba Fracture Zone,with terrain undulations of 36 to 107 m and slopes ranging from 16°to 48°.③Jiaomuzu River and Chabao River hydropower station basins were all highly developed landslide areas.The upstream of Panlong River hydropower station basin is a highly developed landslide area,and the downstream is in the medium-low susceptibility area.The landslides in the region are strongly controlled by hydraulic erosion and topographic changes.④Comparing the prediction results of FCNN model used in this study with the image interpretation and geological disaster field investigation data,it is verified that the model prediction accuracy is more than 75%.The research result is of great theoretical and practical significance for the monitoring,prevention and control of landslide disasters in the Maerkang area.
作者 向晗 李宁 幸夫诚 陈宇涛 卜祥航 XIANG Han;LI Ning;XING Fucheng;CHEN Yutao;BU Xianghang(College of Emergency Management,Xihua University,Chengdu 610039,China)
出处 《水利水电快报》 2025年第8期31-39,共9页 Express Water Resources & Hydropower Information
基金 四川省自然科学基金项目(2023NSFSC0809) 地质灾害防治与地质环境保护国家重点实验室开放基金资助项目(SKLGP2023K010) 成都市“揭榜挂帅”科技项目(2024-JB00-00006-SN) 四川省电力公司科技项目(52199723001D)。
关键词 地震群 同震滑坡 空间分布 FCNN模型 水电站流域 四川省 马尔康 earthquake swarm co-seismic landslide spatial distribution FCNN model hydropower station basin Sichuan Province Maerkang
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