Considering the defects of low accuracy and slow speed existing in traditional flood loss assessment, firstly, the technical route of flood loss assessment was presented based on the neural network ensemble. Secondly, through the study of certain country of Poyang Lake district, the flood loss assessment indicators of the test area were analyzed and extracted by utilizing analytic hierarchy process (AHP), and the weights of the impact factors were assigned. Subsequently, the approaches to generate individuals and conclusions of neural network ensemble model were also investigated. In the platform of C# language and neural network library under AForge.NET open source, a flood loss assessment program which could rapidly build neural network ensemble models was developed. Finally, the proposed method was tested and verified. The comparison results between the assessment results of the proposed method and the actual statistical flood loss proved the feasibility of this method, thus a new approach for flood loss assessment was provided.
鄱阳湖区是洪水灾害的多发地区,洪水引发的地面淹没会给该地区带来巨大的经济财产损失.为了能直观而准确地获得洪水的淹没范围并评估其灾害损失,提高鄱阳湖区的防灾减灾水平,文中基于GIS技术,在Visual Studio 2008环境下,采用种子蔓延算法和基于空间信息格网的损失评估模型,对鄱阳湖区洪水淹没损失评估系统进行了设计与实现.该系统包含的功能有洪水淹没范围计算、洪灾分布统计分析、洪灾损失评估等,从而为鄱阳湖区的防汛抗洪工作提供辅助决策依据.
