基于多源数据融合的水库大坝安全风险评估模型研究

Research on Dam Safety Risk Assessment Model Based on Multi-source Data Fusion

摘要

水库大坝作为重要的水利基础设施，其安全运行直接关系到区域防洪安全、供水保障与社会稳定。随着监测手段的不断丰富，大坝运行过程中形成了结构监测、渗流监测、变形监测、水文气象及运行管理等多类型数据，传统单一数据驱动的风险评估方法已难以全面反映大坝安全状态。基于此，本文围绕多源数据融合理念，系统探讨水库大坝安全风险评估的技术路径与模型构建方法，重点分析多源异构数据在统一时空框架下的融合机制及其对风险识别精度的提升作用，为提升水库大坝安全风险评估的系统性、客观性与动态性提供理论支撑与技术参考。

Abstract

As critical water conservancy infrastructures,reservoir dams play a vital role in regional flood control,water supply security,and social stability.With the continuous advancement of monitoring technologies,a large amount of heterogeneous data has been generated during dam operation,including structural monitoring,seepage monitoring,deformation monitoring,hydrological and meteorological data,as well as operation and management information.Traditional risk assessment approaches driven by single data sources are no longer sufficient to comprehensively reflect the safety status of reservoir dams.In this context,this study focuses on the concept of multi-source data fusion and systematically investigates the technical pathways and model construction methods for reservoir dam safety risk assessment.Emphasis is placed on analyzing the fusion mechanisms of heterogeneous data within a unified spatiotemporal framework and their role in improving the accuracy of risk identification.The study provides theoretical support and technical references for enhancing the systematic,objective,and dynamic assessment of reservoir dam safety risks.

关键词

多源数据融合 / 水库大坝 / 安全风险评估 / 指标体系 / 评估模型

Key words

multi-source data fusion / reservoir dams / safety risk assessment / indicator system / assessment model

参考文献

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