以移植的加拿大森林火险等级系统(CFFDRS)为基础,以SuperMap IS Java为核心,运用WebGIS技术设计并建立了适合我国使用的森林火险气象等级预报系统。并着重介绍了该系统所采用的B/S与C/S相结合的3层网络体系结构,描述了原始数据的准备、...以移植的加拿大森林火险等级系统(CFFDRS)为基础,以SuperMap IS Java为核心,运用WebGIS技术设计并建立了适合我国使用的森林火险气象等级预报系统。并着重介绍了该系统所采用的B/S与C/S相结合的3层网络体系结构,描述了原始数据的准备、工作站与服务器上数据的处理及客户端功能的设计要求。该系统结合网络服务与数据库服务等多种技术手段,可实现森林火险气象等级预报的网络发布,提高我国森林火险预报预警的管理效率。展开更多
The methodology on forest fire danger forecast system of national level and daily operation of the system was discussed. The system determined prediction model and method according to forest fire danger rating and fir...The methodology on forest fire danger forecast system of national level and daily operation of the system was discussed. The system determined prediction model and method according to forest fire danger rating and fire danger indexes defined by related professional standards of forestry. The system obtains daily collection of meteorological observation dataset and information of digital weather forecast through the network. It also obtained daily weather observation data and observed data of fire danger factors on key areas through network. It thus concluded the weather forecast of national forest fire danger and forest fire danger forecast within future 24 hours and 48 hours, under the support of basic databases and after colligated processing and analysis of various data on GIS software platform. The forecast results have been daily promulgated through special forestry network and were published 4 times a week through China Central Television Program (CCTV2).展开更多
文摘以移植的加拿大森林火险等级系统(CFFDRS)为基础,以SuperMap IS Java为核心,运用WebGIS技术设计并建立了适合我国使用的森林火险气象等级预报系统。并着重介绍了该系统所采用的B/S与C/S相结合的3层网络体系结构,描述了原始数据的准备、工作站与服务器上数据的处理及客户端功能的设计要求。该系统结合网络服务与数据库服务等多种技术手段,可实现森林火险气象等级预报的网络发布,提高我国森林火险预报预警的管理效率。
文摘The methodology on forest fire danger forecast system of national level and daily operation of the system was discussed. The system determined prediction model and method according to forest fire danger rating and fire danger indexes defined by related professional standards of forestry. The system obtains daily collection of meteorological observation dataset and information of digital weather forecast through the network. It also obtained daily weather observation data and observed data of fire danger factors on key areas through network. It thus concluded the weather forecast of national forest fire danger and forest fire danger forecast within future 24 hours and 48 hours, under the support of basic databases and after colligated processing and analysis of various data on GIS software platform. The forecast results have been daily promulgated through special forestry network and were published 4 times a week through China Central Television Program (CCTV2).
