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中国农学通报 ›› 2021, Vol. 37 ›› Issue (13): 89-93.doi: 10.11924/j.issn.1000-6850.casb2020-0420

所属专题: 农业气象

• 资源·环境·生态·土壤·气象 • 上一篇    下一篇

柴达木地区枸杞产量与气象条件关系模型构建

雷玉红1(), 王发科1, 许学莲1, 侯岳1, 颜亮东2,3, 李春晖1, 梁志勇1()   

  1. 1青海省格尔木市气象局,青海格尔木 816099
    2青海省气象科学研究所,西宁 810001
    3青海省防灾减灾重点实验室,西宁 810001
  • 收稿日期:2020-09-01 修回日期:2020-11-01 出版日期:2021-05-05 发布日期:2021-05-18
  • 通讯作者: 梁志勇
  • 作者简介:雷玉红,女,1976年出生,青海湟源人,工程师,本科,主要从事农业气象与生态环境方向研究。通信地址:816099 青海省格尔木市气象局,Tel:0979-8492569,E-mail:284134262@qq.com
  • 基金资助:
    国家自然基金项目“高寒枸杞花蕾期低温冷害指标研究”(41765008);浙江省一般项目“基于关键气象因子的柴达木枸杞产量预报模型研究”(2019YB21)

Model Construction of the Relationship Between the Yield of Lycium barbarum and Meteorological Condition in Qaidam Area

Lei Yuhong1(), Wang Fake1, Xu Xuelian1, Hou Yue1, Yan Liangdong2,3, Li Chunhui1, Liang Zhiyong1()   

  1. 1Golmud Meteorological Bureau of Qinghai Province, Golmud Qinghai 816099
    2Qinghai Academy of Meteorological Sciences, Xining 810001
    3Key Laboratory for Disaster Prevention and Mitigation in Qinghai, Xining 810001
  • Received:2020-09-01 Revised:2020-11-01 Online:2021-05-05 Published:2021-05-18
  • Contact: Liang Zhiyong

摘要:

在柴杞主产区内选取格尔木市台、诺木洪站2个站点的枸杞发育期及相对应的气温、降水及日照等观测资料,应用逐步回归、概率统计等方法对柴达木地区不同发育时段气象因子对产量的影响进行统计分析,结果表明:(1)枸杞产量与老眼枝开花期间日平均气温,春梢生长期间日最高气温及积温,老眼枝果实成熟期间日最低气温,夏果形成及成熟期间气温日较差,春梢生长及秋梢开花期间的日照总时数达到较高正相关。(2)枸杞产量与老眼枝开花期、老眼枝果实形成期、春梢生长期、夏果成熟期、秋梢开花期及秋果成熟期间的降水达到较高负相关。(3)将影响枸杞产量的关键气象因素与产量进行回归分析,得出柴达木地区枸杞产量与气象条件的关系方程,方程的复相关系数为0.9705,根据构建模型,回代历年产量和2019年实际预报应用,绝对误差和相对误差均较小,预报精度较高,充分说明,选取的5个气象要素能够准确预报该地区的枸杞产量,可以在实际预报业务中应用。

关键词: 枸杞产量, 发育时段分类, 产量要素组成, 气象条件分析, 模型构建, 柴达木盆地

Abstract:

In Qaidam Lycium barbarum producing area, the developmental phase, precipitation and sunshine in stations of Golmud and Nuomuhong were selected, and the effect of meteorological factors in different developmental phases on yield was studied by stepwise regression and probability statistics. The results showed that: (1) Lycium barbarum yield was positively correlated with daily average temperature in flowering stage of Laoyan branch, the highest temperature and accumulated temperature in spring branch growth stage, the lowest temperature in fructescence of Laoyan branch, temperature daily range in summer fruit formation and maturity stage and total sunshine hours of spring branch growth and autumn branch flowering stage; (2) the yield of Lycium barbarum was negatively correlated with the precipitation in the flowering stage of Laoyan branch, fruit formation stage of Laoyan branch, growth stage of spring branch, summer fruit maturity stage, autumn branch flowering stage and autumn fruit maturity stage; (3) the results of regression analysis between key meteorological factors and Lycium barbarum yield showed that the multiple correlation coefficient of the equation was 0.9705, according to built model, the results of previous yield and practical yield in 2019 had little absolute error and relative error, and high forecast accuracy, fully indicating that the selected 5 meteorological elements could accurately forecast the production of Lycium barbarum, which could be applied in practical forecast.

Key words: Lycium barbarum yield, classification of developmental period, composition of production factors, analysis of meteorological conditions, model construction, Qaidam Basin

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