湖北农业科学 ›› 2022, Vol. 61 ›› Issue (8): 120-124.doi: 10.14088/j.cnki.issn0439-8114.2022.08.024

• 信息工程 • 上一篇    下一篇

基于指标模型的河北省小麦蚜虫气象预警预测系统研究

司丽丽1,2, 郭丽丽1,2, 姚树然2,3, 解文娟1,2, 赵亮1,2   

  1. 1.河北省气象灾害防御和环境气象中心,石家庄 050000;
    2.河北省气象与生态环境重点实验室,石家庄 050000;
    3.河北省气象科学研究所,石家庄 050000
  • 收稿日期:2021-11-29 出版日期:2022-04-25 发布日期:2022-05-12
  • 通讯作者: 姚树然,女,二级正高级工程师,主要从事农业气象灾害和农业气象情报预报研究。(电子信箱)yaosr0503@sina.com。
  • 作者简介:司丽丽(1978-),女,山东东阿人,高级工程师,硕士,主要从事农业气象灾害研究,(电话)0311-67108635(电子信箱)sll_0312@163.com。
  • 基金资助:
    河北省高层次人才资助项目(A201901006); 河北省气象局科研开发项目(ky1533)

Establishment of forecasting and early monitoring system on wheat aphid in Hebei province based on index and model

SI Li-li1,2, GUO Li-li1,2, YAO Shu-ran2,3, XIE Wen-juan1,2, ZHAO Liang1,2   

  1. 1. Meteorological Disaster Prevention and Enviromment Meteorology Center of Hebei Province, Shijiazhuang 050000, China;
    2. Key Laboratory of Meteorology and Ecological Environment of Hebei Province, Shijiazhuang 050000, China;
    3. Institute of Meteorological Sciences of Hebei Province, Shijiazhuang 050000, China
  • Received:2021-11-29 Online:2022-04-25 Published:2022-05-12

摘要: 为系统、科学、精准地防控小麦蚜虫,将农业气象、植物保护等知识与信息技术相结合,基于河北省小麦蚜虫发生气象条件预警技术指标体系研究课题组自行研发的3套预警预测指标模型,应用C/S模式,采用GIS、VS2008、Microsoft Visual Studio 2008、C#等相关技术,设计并组建了河北省小麦蚜虫预警预测气象服务系统。该系统将气象、虫害等数据集成统一,实现了数据分析挖掘、监测预警、预测预报、诊断与知识、产品制作与发布等功能的有机结合,能够将预警区域数据转化为清晰简明的地图,可使达到防治指标的小麦蚜虫分布情况直观明了。

关键词: 小麦蚜虫, 预警预测, 指标模型, 气象服务, 系统

Abstract: Aphid is one of main inspects of affecting wheat production. In order to prevent and control wheat aphids scientifically and accurately, a meteorological service system was established for early warning and prediction of wheat aphids in Hebei province, based on three sets of indexes or models which were developed by the research group oneself by combining the knowledge or technology, agrometeorology, plant protection with information technology, and using GIS, VS2008、Microsoft Visual Studio 2008,C# and so on. It realized the organic combination of multiple functions, including data analysis and mining, early warning, prediction, diagnosis and knowledge retrieval, manufacture and release of service product, etc. It also had the function of transforming data of early warning about wheat aphids into a map covering geographical information.

Key words: wheat aphids, early warning and prediction, index and model, meteorological service, system

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