主办单位:中国气象局沈阳大气环境研究所
国际刊号:ISSN 1673-503X
国内刊号:CN 21-1531/P

气象与环境学报 ›› 2023, Vol. 39 ›› Issue (3): 124-131.doi: 10.3969/j.issn.1673-503X.2023.03.015

• 论文 • 上一篇    下一篇

昌乐县温室西瓜膨大期裂果与室内小气候要素的关系

李树军1(),唐俊贤2,赵华1,袁静1,张爱玲3,王培娟2,*()   

  1. 1. 潍坊市气象局, 山东潍坊 261000
    2. 中国气象科学研究院, 北京 100081
    3. 昌乐县气象局, 山东昌乐 262400
  • 收稿日期:2023-03-25 出版日期:2023-06-28 发布日期:2023-07-25
  • 通讯作者: 王培娟 E-mail:wf680713@163.com;wangpj@cma.gov.cn
  • 作者简介:李树军, 男, 1968年生, 高级工程师, 主要从事气象服务与应用气象研究, E-mail: wf680713@163.com
  • 基金资助:
    山东省气象局气象科学技术研究项目(面上课题)“设施西瓜气象服务关键技术研究”(2020sdqxm14)

Relationship between fruit cracking and indoor microclimate factors of watermelon during the expansion stage in Changle greenhouse

Shu-jun LI1(),Jun-xian TANG2,Hua ZHAO1,Jing YUAN1,Ai-ling ZHANG3,Pei-juan WANG2,*()   

  1. 1. Weifang Meteorological Service, Weifang 261000, China
    2. Chinese Academy of Meteorological Sciences, Beijing 100081, China
    3. Changle County Meteorological Service, Changle 262400, China
  • Received:2023-03-25 Online:2023-06-28 Published:2023-07-25
  • Contact: Pei-juan WANG E-mail:wf680713@163.com;wangpj@cma.gov.cn

摘要:

利用温室小气候数据和西瓜膨大期裂果数据, 考虑了适宜西瓜生长的气象条件, 选取了与温度和湿度相关的10个气候因子, 基于Pearson相关分析法筛选与裂果数量相关性较高的主导气候因子, 分析山东省昌乐县温室西瓜膨大期裂果与室内小气候要素的关系。结果表明: 西瓜裂果数量与夜间最低气温呈显著负相关, 与夜间小时最大湿度差呈正相关, 温室西瓜膨大期裂果气候回归方程的拟合优度(R2)达到0.404, 验证样本模拟裂果数量与实际裂果数量的均方根误差(RMSE)为6.8个, 表明利用温室大棚夜间最低气温和夜间小时最大湿度差可以较好地模拟温室西瓜膨大期裂果灾情。

关键词: 温室, 西瓜, 裂果, 小气候

Abstract:

Using the greenhouse microclimate data and fruit cracking data of watermelon during the expansion stage, considering the meteorological conditions suitable for watermelon growth, 10 climate factors related to temperature and humidity were selected, the leading climate factors with high correlation with the number of fruit cracking were screened based on Pearson correlation analysis.The relationship between the fruit cracking of watermelon during the expansion stage of the greenhouse and indoor microclimate factors was analyzed.The results showed that there was a significant negative correlation between the number of cracked watermelons and the minimum temperature at night and a positive correlation between the number of cracked watermelons and the hourly maximum humidity difference at night.The goodness of fit (R2) of the climate regression equation of cracked watermelon during the expansion stage in the greenhouse reached 0.404, and the root mean square error (RMSE) between the simulated and actual number of fruit cracking in the verified sample is 6.8.The results show that the difference between minimum temperature and maximum hourly humidity at night could be used to simulate the cracked watermelon disaster in the greenhouse.

Key words: Greenhouse, Watermelon, Fruit cracking, Microclimate

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