关键词: 灾情评估, 灾情等级, 模糊神经网络, 防洪减灾

Abstract: Flood disaster assessment is affected by multiple factors such as human, economy and environment, and the relationship between flood disaster assessment and these factors is nonlinear and complex. Besides, in order to explore assessment methods and indicators, the previous disaster assessment is based on existing disasters data laws, which does not make full use of Flood Disaster Assessment Standard(SL 579-2012). Therefore, on the basis of Flood Disaster Assessment Standard, we adopted Fuzzy Neural Network to assess disaster severity of annual flood disasters conditions(1997-2016) in China and event flood disasters conditions(2016, 2015, 2010) in each province of China. Then, the real disasters data obtained from bulletin of floods and droughts in China was used to verify the assessment results. Then, some suggestions of flood control and disaster mitigation are proposed in this paper. The results show that the assessment results of annual flood disasters conditions is the same as that of the event flood disasters conditions. Hence, Fuzzy Neural Network is available for Flood Disaster Assessment and could improve computational efficiency. This paper can provide data support for flood control and disaster mitigation.

Key words: flood disaster assessment, disaster severity, Fuzzy Neural Network, flood control and disaster mitigation;