以江苏省为例,介绍了基于地理信息系统的小麦赤霉病气象等级预报系统的设计思路及核心技术。系统采用VB.Net 2005和ArcEngine做为开发平台,基于MSSQL SERVER 2005数据库查询,利用日平均相对湿度、日平均气温和日照时数3个气象要素,用两...以江苏省为例,介绍了基于地理信息系统的小麦赤霉病气象等级预报系统的设计思路及核心技术。系统采用VB.Net 2005和ArcEngine做为开发平台,基于MSSQL SERVER 2005数据库查询,利用日平均相对湿度、日平均气温和日照时数3个气象要素,用两种算法来计算小麦赤霉病发生发展的气象等级,生成包含地理信息的文字产品和图形产品,实现了小麦赤霉病气象等级业务预报。系统具有功能强大,算法高效,操作简单等特点,解决了业务部门资料分析处理和赤霉病气象等级预报的相关问题,具有很好的业务应用和推广价值。展开更多
Using ground and remote sensing monitoring, and national standards of snow disaster monitoring evaluation standards, quantitative evaluation of snow disaster was realized. Threshold of animal husbandry weather forecas...Using ground and remote sensing monitoring, and national standards of snow disaster monitoring evaluation standards, quantitative evaluation of snow disaster was realized. Threshold of animal husbandry weather forecast indexes were applied to establish snow disaster early warning for different grasslands in pasturing areas of Inner Mongolia, and make the grade distribution map of snow disaster early warning. The forecast results basically met the real conditions, it proved that this forecast method was capable of evaluating scale and influence degree of snow disaster. However, the snow disaster grade forecast deviated from the real conditions for the influence of weather forecast accuracy rate.展开更多
文摘以江苏省为例,介绍了基于地理信息系统的小麦赤霉病气象等级预报系统的设计思路及核心技术。系统采用VB.Net 2005和ArcEngine做为开发平台,基于MSSQL SERVER 2005数据库查询,利用日平均相对湿度、日平均气温和日照时数3个气象要素,用两种算法来计算小麦赤霉病发生发展的气象等级,生成包含地理信息的文字产品和图形产品,实现了小麦赤霉病气象等级业务预报。系统具有功能强大,算法高效,操作简单等特点,解决了业务部门资料分析处理和赤霉病气象等级预报的相关问题,具有很好的业务应用和推广价值。
基金Sponsored by Scientific and Technological Innovation Program of the Inner Mongolia Meteorological Bureau(nmgqxkjcx201115)
文摘Using ground and remote sensing monitoring, and national standards of snow disaster monitoring evaluation standards, quantitative evaluation of snow disaster was realized. Threshold of animal husbandry weather forecast indexes were applied to establish snow disaster early warning for different grasslands in pasturing areas of Inner Mongolia, and make the grade distribution map of snow disaster early warning. The forecast results basically met the real conditions, it proved that this forecast method was capable of evaluating scale and influence degree of snow disaster. However, the snow disaster grade forecast deviated from the real conditions for the influence of weather forecast accuracy rate.