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Flood Risk Analysis Based on Information Diffusion Theory

机译：基于信息扩散理论的洪水风险分析

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摘要

Due to the fact that the flood data series of small drainage basins is relatively short, available data are often not sufficient for flood risk analysis. This presents the problem of risk analysis using very small data samples. One method that can be applied is to regard the available small samples as fuzzy information and optimize them using information diffusion technology to yield analytical results with greater reliability. In this article a risk analysis method based on information diffusion theory is applied to create a new flood risk analysis model. Application of the model is illustrated taking the Jinhuajiang and Qujiang drainage basins as examples. This is a new attempt at applying information diffusion theory in flood risk analysis. Computations based on this analytical flood risk model can yield an estimated flood damage value that is relatively accurate. This study indicates that the aforementioned model exhibits fairly stable analytical results, even when using a small set of sample data. The results also indicate that information diffusion technology is highly capable of extracting useful information and therefore improves system recognition accuracy. This method can be easily applied and the analytical results produced are easy to understand. Results are accurate enough to act as a guide in disaster situations.
机译：由于小型流域的洪水数据系列相对较短，因此可用数据通常不足以进行洪水风险分析。这提出了使用非常小的数据样本进行风险分析的问题。可以应用的一种方法是将可用的小样本视为模糊信息，并使用信息扩散技术对其进行优化，以产生具有更高可靠性的分析结果。本文采用基于信息扩散理论的风险分析方法，建立了新的洪水风险分析模型。以金花江流域和曲江流域为例，说明了该模型的应用。这是在洪水风险分析中应用信息扩散理论的新尝试。基于这种分析洪水风险模型的计算可以得出相对准确的估计洪水破坏值。这项研究表明，即使使用少量样本数据，上述模型也显示出相当稳定的分析结果。结果还表明，信息扩散技术具有很高的提取有用信息的能力，因此提高了系统识别的准确性。该方法易于应用，产生的分析结果易于理解。结果足够准确，可以作为灾难情况的指导。

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