以四川省逐日降水、地理信息及历史灾情等数据为基础,利用轻量级Java EE框架构建业务系统和Fortran语言实现评估模型,完成对强降水过程的等级评估,所有数据均在系统内部完成分析计算,自动生成评估报告;实现对强降水过程灾情监测的实时化、气象灾害评估分析处理的模型化、灾害预警和业务产品的自动化、预警信息发布的网络化、气象服务与决策的可视化.%This paper is based on the Sichuan daily precipitation data,geographic information and historical data such as disaster.Then the lightweight Java EE frameworks are used to build the business of system and the evaluation model is implemented by using Fortran language.Finally,the heavy precipitation process is completed by level assessment.All data within the system to complete the interactions and analysis,automatic generation of assessment reports.We imply the heavy rainfall disaster monitoring of real-time meteorological disaster assessment analysis and processing model,disaster warning and business products automation,warning information of network,meteorological services and decision visualization.
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