【摘要】 针对溃坝生命损失评估涉及众多地理空间对象且影响因素多而复杂的特点,提出了GIS支持下基于遗传优化神经网络的溃坝生命损失评估方法。引入GIS与空间信息格网,提出了基于GIS空间信息格网模型的溃坝生命损失评估计算模型。分析了溃坝生命损失的影响因素,通过灰色关联度模型评判,建立了评估指标体系。开发了GIS支持下的溃坝生命损失快速评估系统,分析了系统的集成方案以及GIS空间信息格网模型的实现方法。应用表明,该评估方法精度较高,效果较好。更多还原

【Abstract】 Considering many geographical spatial objects and influence factors in the process of loss-of-life evaluation caused by dam breach,an evaluation method of loss-of-life caused by dam breach based on GIS and neural networks optimized by genetic algorithms is proposed.The calculation model for estimating loss-of-life caused by dam breach is established based on GIS spatial information grid model.The influence factors of loss-of-life caused by dam breach were analyzed.The evaluation index system is established by grey relation degree model.A fast evaluation system of loss-of-life caused by dam breach based on GIS is implemented.Scheme and GIS technologies for the system were analyzed.Application shows accuracies and good effects of the evaluated method.更多还原