Flood risk assessment method and system based on multi-source remote sensing and GIS fusion
CN122986402APending Publication Date: 2026-10-27ZHEJIANG RUILIN INFORMATION TECH CO LTD
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Patent Information
- Application Number
- CN202611454941.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-09-18
- Publication Date
- 2026-10-27
AI Technical Summary
Technical Problem
各类遥感与地理信息数据仅仅被作为独立的空间图层进行简单叠加,图层之间没有建立降雨产流、坡面汇流、河道演进等物理过程的关联,数据尺度不一致时也往往直接重采样处理,导致评估结果无法真实反映洪水在时空维度上的形成与运动特征
Benefits of technology
[0016]本发明利用多源遥感与地理信息系统数据的互补优势,将地表状态参数与地形水文结构参数统一至相同时空分辨率,构建反映径流生成与汇流传输物理过程的融合特征场,有效解决了单一数据源信息不完整、空间尺度不一致的问题。融合特征场完整刻画了洪涝灾害孕育、发生和演化的多要素耦合关系,为风险评估提供了物理机理明确、空间连续的基础数据支撑。基于降雨产流、坡面汇流、河道演进物理传递链动态确定各要素作用权重,使权重分配随不同致灾过程自适应调整,避免了固定权重导致的评估偏差。将融合特征场与作用权重组合计算,能够准确刻画不同区域、不同暴雨情境下的洪涝风险等级分布,显著提升风险评估的针对性和可靠性。利用地形水文结构参数追踪地形连通性与水流路径,识别风险分布的空间传递方向与影响范围,使评估结果不仅包含静态风险等级,还揭示了洪水漫流、汇流和演进的内在传播机制。这种对风险动态传播过程的精细化刻画,有助于准确预判洪水可能影响的区域范围和先后顺序,为防洪决策、应急避险和土地规划提供科学依据,全面提升区域洪涝灾害预警和应对能力。
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Abstract
The present application relates to the technical field of flood risk assessment, and particularly relates to a flood risk assessment method and system based on multi-source remote sensing and GIS fusion, which obtains multi-source remote sensing data and geographic information system data of a target region, inverses surface state parameters and extracts topographic and hydrological structure parameters, performs spatio-temporal correlation fusion by establishing a coupling relationship reflecting the physical processes of surface runoff generation and confluence transmission after unifying the spatio-temporal resolution, generates a fusion characteristic field, dynamically determines the action weight according to the contribution difference of elements to the flood disaster-causing process in combination with the physical transmission chain of rainfall runoff generation, slope confluence and river evolution, obtains the risk distribution through combined calculation, traces the topographic connectivity and water flow path, generates an assessment result containing risk levels and propagation mechanisms, identifies the spatial transmission direction and influence range of the risk distribution, effectively improves the accuracy and reliability of the flood risk assessment, and provides a scientific basis for disaster prevention and mitigation.
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