湖北农业科学 ›› 2020, Vol. 59 ›› Issue (23): 77-80.doi: 10.14088/j.cnki.issn0439-8114.2020.23.018

• 资源·环境 • 上一篇    下一篇

基于历史丰歉气象影响指数的四川盆区油菜产量动态预报

赵艺1,2, 邹雨伽1,2, 张玉芳1,2,3   

  1. 1.中国气象局成都高原气象研究所/高原与盆地暴雨旱涝灾害四川省重点实验室,成都 610072;
    2.四川省农业气象中心,成都 610072;
    3.南方丘区节水农业研究四川省重点实验室,成都 610066
  • 收稿日期:2020-04-16 出版日期:2020-12-10 发布日期:2020-12-30
  • 作者简介:赵艺(1990-),女,河南郾城人,工程师,硕士,主要从事农业气象灾害及产量预报研究,(电话)18702876518(电子信箱)524968359@qq.com
  • 基金资助:
    四川省科技厅应用基础研究项目(2018JY0341);高原与盆地暴雨旱涝灾害四川省重点实验室科技发展基金项目(2018-青年-29)

The dynamic prediction for rapeseed yield based on influence index for bumper or poor harvest from historic meteorological yield in Sichuan basin area

ZHAO Yi1,2, ZOU Yu-jia1,2, ZHANG Yu-fang1,2,3   

  1. 1. Chengdu Institute of Plateau Meteorological,China Meteorology Administration/Key Laboratory of Heavy Rain and Drought-Flood Disasters in Plateau and Basin of Sichuan Province,Chengdu 610072,China;
    2. Sichuan Agricultural Meteorological Center,Chengdu 610072,China;
    3. Sichuan Provincial Key Laboratory of Water-Saving Agriculture in Hilly Areas of Southern China,Chengdu 610066,China
  • Received:2020-04-16 Online:2020-12-10 Published:2020-12-30

摘要: 四川省是全国的油菜(Brassica napus L.)种植大省,及时、准确地进行产量预报对保障国家粮油安全具有重要意义。利用1983—2012年四川盆区30个站点的油菜产量资料和逐日气象资料以及13个农业气象观测站的生育期资料,基于相关系数和欧氏距离建立综合诊断指标,判定历史相似年型,最终通过研究分析预报年与历史相似年油菜产量气象影响指数间的关系,确定四川盆区油菜产量动态预报方法。回代检验结果表明,盆区各产区的动态趋势预报平均正确率在80%及以上,盆区集成的平均正确率在70%及以上;盆区各产区的动态定量预报平均准确率在89.37%及以上,盆区集成的平均准确率在96.16%及以上。预报检验结果表明,盆区各产区的动态定量预报准确率在89.11%及以上,盆区集成的准确率在95.84%及以上。预报结果的准确率较高,可以应用于实际业务服务。

关键词: 油菜(Brassica napus L.), 产量预报, 动态, 气象影响指数, 四川盆区

Abstract: As one of nationʼs big producers of rapeseed(Brassica napus L.),timely and accurate yield forecasts has great significance to ensure national grain and oil security in Sichuan province.In order to determine the type of historically similar years,the rape yield data and daily meteorological data from 1983 to 2012 at 30 stations in Sichuan basin area,as well as growth period of 13 agricultural meteorological observatory data were used to set up a comprehensive diagnostic index which based on correlation coefficient and Euclidean distance.By analyzing the relationship between meteorological influence index of rape yield in forecast year and similar year in history,the dynamic prediction method of rape yield in Sichuan basin area was determined.The results showed that the average accuracy of dynamic trend prediction was equal or above 80%,and the average accuracy of basin integration was equal or above 70%.The average precision of dynamic quantitative prediction in each producing area of Sichuan basin was equal or over 89.37%,and the average precision of basin integration was equal or over 96.16%.The precision of dynamic quantitative prediction in each producing area of Sichuan basin was equal or over 89.11%,and the precision of basin integration was equal or over 95.84%.The forecast results indicate that the method has good performance of accuracy to apply and can be applied to actual service.

Key words: rape(Brassica napus L.), yield forecast, dynamic, meteorological impact index, Sichuan basin

中图分类号: