长江科学院院报 ›› 2024, Vol. 41 ›› Issue (12): 189-195.DOI: 10.11988/ckyyb.20240793

• 水灾害防御与治理研究专栏 • 上一篇    下一篇

基于国产高分三号星座的洪涝灾害应急监测模式研究——以洞庭湖区团洲垸溃口险情为例

陈喆1,2(), 向大享1,2(), 姜莹1,2, 程学军1,2, 李经纬1,2   

  1. 1 长江科学院 空间信息技术应用研究所,武汉 430010
    2 武汉市智慧流域工程技术研究中心,武汉 430010
  • 收稿日期:2024-07-29 修回日期:2024-08-08 出版日期:2024-12-01 发布日期:2024-12-01
  • 通信作者:
    向大享(1984-),男,湖北巴东人,正高级工程师,博士,主要研究方向为防汛抗旱减灾、水利信息化、水土保持。E-mail:
  • 作者简介:

    陈 喆(1985-),女,湖北武汉人,高级工程师,博士,主要研究方向为3S技术在水利信息化中的应用。E-mail:

  • 基金资助:
    中央级公益性科研院所基本科研业务费项目(CKSF2023403/KJ); 湖北省自然科学基金项目(2022CFD173); 湖南省水利科技项目(XSKJ2022068-12)

Flood Disaster Emergency Monitoring Based on China’s Gaofen-3 Satellite: Application to Tuanzhou Embankment Breach in Dongting Lake Area

CHEN Zhe1,2(), XIANG Da-xiang1,2(), JIANG Ying1,2, CHENG Xue-jun1,2, LI Jing-wei1,2   

  1. 1 Spatial Information Technology Application Department, Changjiang River Scientific Research Institute, Wuhan430010, China
    2 Wuhan Smart Watershed Engineering Technology Research Center, Wuhan 430010,China
  • Received:2024-07-29 Revised:2024-08-08 Published:2024-12-01 Online:2024-12-01

摘要:

针对如何在应急条件下开展快速有效的洪涝灾情动态监测预警评估,提出了一种基于时序国产高分三号星座数据的洪涝灾害应急监测模式,探索汛期洪涝溃堤灾前预警、灾中动态监测、灾后损失评估的监测方法和处理流程。基于该工作模式,针对2024年7月5日发生的洞庭湖团洲垸溃口险情,利用溃口决堤前后逐日国产高分三号卫星影像时序数据,迅速开展团洲垸受灾区域应急遥感监测。根据水体提取结果和洪涝受灾前后变化检测结果,发现:决堤发生前一天溃口周围农田区域水体面积明显增大,2024年7月4日上午10时至7月5日上午11时,堤防渗水过程明显;2024年7月6日上午团洲垸基本全部被淹,仅剩主要干道两侧房屋屋顶在水面以上;7月8日至15日,团洲垸呈缓慢退水状态。监测结果表明,基于国产高分三号星座数据可实现高时空分辨率的溃堤前—溃堤中—溃口合拢后团洲垸灾情变化全过程监测,为溃堤灾前预警、灾中应急抢险、灾后损失评估提供有效的数据支撑。

关键词: 洪涝灾害, 应急监测模式, 国产高分三号星座, 洞庭湖区团洲垸, SAR

Abstract:

To swiftly and efficiently monitor and assess the dynamics of flood disasters under emergency conditions, this study introduces a flood disaster emergency monitoring model based on China’s Gaofen-3 satellite time-series data. This model offers a rapid and effective method for pre-disaster breach warnings, disaster response, and post-disaster loss assessment. In response to the imminent threat posed by the Tuanzhou Embankment breach on July 5, 2024, we conducted emergency remotely-sensed monitoring by using daily image time series data before and after the breach. According to water body extraction and changes detected before and after flooding, we found that the water area in farmlands surrounding the breach experienced a significant increase the day before the dike burst. From 10 a.m. on July 4, 2024, to 11 a.m. on July 5, 2024, the embankment underwent evident seepage process. By the morning of July 6, 2024, the Tuanzhou Embankment was almost entirely submerged, with only the rooftops of houses along the main road remaining above water. From July 8th to 15th, the water gradually receded. The findings indicate that Gaofen-3 data can help effectively monitor the entire disaster evolution process at high spatial and temporal resolutions before, during, and after dike breach, providing crucial data support for pre-disaster early warning, emergency rescue, and post-disaster loss assessment.

Key words: flood disaster, emergency monitoring mode, China’s Gaofen-3 Satellite, Tuanzhou embankment in Dongting Lake area, SAR

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