• ISSN 1673-5722
  • CN 11-5429/P

基于高分遥感影像的缅甸7.9级地震灾情快速评估

马小平 陈文凯 颉金凤 叶阳 李大贵 李缘缘 杜浩国

马小平,陈文凯,颉金凤,叶阳,李大贵,李缘缘,杜浩国,2026. 基于高分遥感影像的缅甸7.9级地震灾情快速评估−以曼德勒市为例. 震灾防御技术,x(x):1−14. doi:10.11899/zzfy20250158. doi: 10.11899/zzfy20250158
引用本文: 马小平,陈文凯,颉金凤,叶阳,李大贵,李缘缘,杜浩国,2026. 基于高分遥感影像的缅甸7.9级地震灾情快速评估−以曼德勒市为例. 震灾防御技术,x(x):1−14. doi:10.11899/zzfy20250158. doi: 10.11899/zzfy20250158
Ma Xiaoping, Chen Wenkai, Xie Jinfeng, Ye Yang, Li Dagui, Li Yuanyuan, Du Haoguo. Rapid Assessment of the Magnitude 7.9 Earthquake Disaster in Myanmar Based on High-Resolution Remote Sensing Imagery: A Case Study of Mandalay City[J]. Technology for Earthquake Disaster Prevention. doi: 10.11899/zzfy20250158
Citation: Ma Xiaoping, Chen Wenkai, Xie Jinfeng, Ye Yang, Li Dagui, Li Yuanyuan, Du Haoguo. Rapid Assessment of the Magnitude 7.9 Earthquake Disaster in Myanmar Based on High-Resolution Remote Sensing Imagery: A Case Study of Mandalay City[J]. Technology for Earthquake Disaster Prevention. doi: 10.11899/zzfy20250158

基于高分遥感影像的缅甸7.9级地震灾情快速评估以曼德勒市为例

doi: 10.11899/zzfy20250158
基金项目: 甘肃省地震局地震科技发展计划攻关项目(2023GG01);甘肃省科技计划项目(23JRRA1567);应急管理部重点科技计划项目(2024EMST050503)
详细信息
    作者简介:

    马小平,男,生于1989年。高级工程师。从事地震灾害风险评估工作。E-mail:545355351@qq.com

    通讯作者:

    陈文凯,男,生于1983年。正高级工程师。从事地震灾害损失评估研究。E-mail:85158766@qq.com

  • 12 http://www.xinhuanet.com/world/20250403/1d2cb5ddb41042d69ab164c9a8fbe42b/c.html
  • 中图分类号: P315.78;TU352.1

Rapid Assessment of the Magnitude 7.9 Earthquake Disaster in Myanmar Based on High-Resolution Remote Sensing Imagery: A Case Study of Mandalay City

  • 摘要: 2025年3月28日14时20分,缅甸实皆省(21.85°N,95.95°E)发生7.9级强震,震源深度30 km。此次地震引发了大规模建筑物损毁、地表断裂及次生灾害,造成该国及邻国重大人员伤亡和财产损失。本文以曼德勒市为例,详细对比震前和震后遥感影像,通过目视解译,精细判别了建筑物破坏、重大基础设施破坏、次生灾害等,系统评估了灾害损失和地震烈度,浅析了震害原因,讨论了此次地震的经验教训。结果表明:(1)曼德勒市西部地区遥感震害指数为0.67,预估烈度可能达10度,中西部地区遥感震害指数为0.52,预估烈度可能达9度,中部地区遥感震害指数为0.35,预估烈度可能达8度,东部地区遥感震害指数为0.27,预估烈度7~8度;(2)人员伤亡可能会集中在西部地区和中部地区,东部地区可能会有极少数人员伤亡情况;(3)高分遥感影像为此次地震灾情评估提供了高精度、动态化的数据支撑,评估结果与相关报道基本相符。研究结果有助于判断受灾情况,为震后恢复重建提供科学依据。
    1)  12 http://www.xinhuanet.com/world/20250403/1d2cb5ddb41042d69ab164c9a8fbe42b/c.html
  • 图  1  研究区概况

    Figure  1.  Overview of the study area

    图  2  缅甸地震高分遥感影像

    Figure  2.  High-resolution remote sensing imagery of Myanmar earthquake

    图  3  缅甸地震高分遥感影像灾情评估技术流程

    Figure  3.  Technical workflow for disaster assessment using gaofen remote sensing images of the Myanmar earthquake

    图  4  单体建筑物震后遥感解译

    Figure  4.  Post-earthquake remote sensing interpretation of individual buildings

    图  5  评估区选取

    Figure  5.  Evaluation area selection

    图  6  缅甸地震灾前灾后建筑物破坏遥感影像(灾前:Google 2025-02-24,灾后:GF6 2025-03-30)

    Figure  6.  Remote sensing images of building damage before and after the Myanmar earthquake (Pre-disaster: Google 2025-02-24; Post-disaster: GF6 2025-03-30)

    图  7  典型建筑物震害

    Figure  7.  Seismic damage of typical building

    图  8  缅甸地震灾前、灾后基础设施破坏遥感影像

    Figure  8.  Remote sensing images of infrastructure damage before and after the Myanmar earthquake

    图  9  桥梁设施震害

    Figure  9.  Seismic damage of bridge facilities

    图  10  缅甸地震灾前、灾后次生灾害遥感影像

    Figure  10.  Remote sensing images of secondary disasters before and after the Myanmar earthquake

    图  11  基础设施震害

    Figure  11.  Seismic Damage of Infrastructure

    图  12  缅甸地震预估烈度

    Figure  12.  Estimated intensity for the Myanmar earthquake

    表  1  高分遥感影像

    Table  1.   High-Resolution Remote Sensing Imagery

    项目影像空间分辨率拍摄时间备注
    震前Google全色:0.5 m
    多光谱:2 m
    2015—2021年5景镶嵌影像
    震后GF6全色:2 m
    多光谱:8 m
    2025-03-302景
    下载: 导出CSV

    表  2  建筑物遥感解译结果

    Table  2.   Building remote sensing interpretation results

    破坏情况1号区2号区3号区4号区5号区6号区7号区8号区9号区10号区
    基本完好/栋532553863262251351854606070
    局部破坏/栋157696583815183648
    倒塌/栋853463616681623
    下载: 导出CSV

    表  3  曼德勒市震害情况

    Table  3.   Earthquake damage situation in Mandalay City

    震害情况评估区受灾情况受灾等级遥感震害指数预估烈度
    建筑物损毁1~4号区30%左右破坏重度受损或损毁0.6710度
    5号区20%左右破坏中重度受损0.529度
    6~8号区、10号区10%左右破坏中度受损0.358度
    9号区约10%破坏轻中度受损0.277~8度
    基础设施破坏图8评估区阿瓦大桥严重损毁重度受损或损毁1.010度
    次生灾害图10评估区伊洛瓦底江河道垂直抬升1.2 m重度受损或损毁1.010度
    下载: 导出CSV
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  • 收稿日期:  2025-08-28
  • 录用日期:  2025-11-04
  • 修回日期:  2025-10-30
  • 网络出版日期:  2026-04-07

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