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Updated: Jan 13, 2026

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一个框架来评估来自社交媒体的洪水淹没地点的可信度,使用多来源数据

Yilin Chen1, Xiaolan Li1, Xiaohong Chen1

  • 1School of Civil Engineering, Sun Yat-sen University and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, China; Guangdong Engineering Technology Research Center of Water Security Regulation and Control for Southern China, Sun Yat-sen University, Guangzhou 510275, China; Key Laboratory of Water Cycle and Water Security in Southern China of Guangdong High Education Institute, Sun Yat-sen University, Guangzhou 510275, China.

Water research
|January 8, 2026
PubMed
概括

本研究引入了一个框架来评估社交媒体洪水数据的可信性,通过解决位置模糊性来提高准确性. 整合多个数据源可以通过社交媒体信息来加强洪水风险区的识别.

关键词:
可信度评估的评估可信度评估的评估气象数据 气象数据社交媒体数据数据地形数据 地形数据城市洪水 城市洪水城市基础设施数据

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