欢迎访问《中国农学通报》,

中国农学通报 ›› 2019, Vol. 35 ›› Issue (35): 118-123.doi: 10.11924/j.issn.1000-6850.casb18090084

• 资源 环境 生态 土壤 气象 • 上一篇    下一篇

上海春季蟠桃大棚温室内气温变化特征及低温预报

陈 琛1, 丁昇1, 曹丹萍1, 周 伟1, 高超2, 王蕾迪3   

  1. 1.上海市金山区气象局;2.上海市金山区蟠桃研究所;3.华南农业大学农学院
  • 收稿日期:2018-09-18 修回日期:2019-11-26 接受日期:2018-11-20 出版日期:2019-12-16 发布日期:2019-12-16
  • 通讯作者: 陈 琛
  • 基金资助:
    上海市气象局启明星项目“金山区蟠桃的农业气象灾害指标体系与预警系统和服务平台的建立研究”(QM201608)。

Temperature Variation Characteristics and Daily Minimum Temperature Forecast Inside Spring Greenhouse in Shanghai

  • Received:2018-09-18 Revised:2019-11-26 Accepted:2018-11-20 Online:2019-12-16 Published:2019-12-16

摘要: 为提高上海市金山区设施农业气象服务水平,减轻春季低温冻害对温室内‘玉露’蟠桃授粉的影响,利用2015—2017年春季蟠桃温室内外气象观测资料对春季棚内气温影响特征进行分析研究,采用多元线性回归和逐步回归的分析方法建立3种典型天气类型下蟠桃温室内最低气温预报模型。结果表明,晴天和多云天气下温室内气温呈现明显日变化特征,阴雨天温室内的平均气温偏低、湿度偏大,严重影响蟠桃的春季授粉率。蟠桃温室内的最低气温与温室内前一天的小气候因子有较好的相关性,提取前一天温室内最低、最高气温和棚外最低气温3个主要气象因子,尝试采用2015—2016年气象数据建立春季温室内不同天气状况下的最低气温预报模型,并利用2017年的春季气象资料对3种天气下预报模型进行验证,整个春季蟠桃温室内最低气温预报平均绝对误差在1.56℃,平均相对误差18%,均方根误差4.97℃,其中对阴雨天的最低气温预报效果最好。该研究结果可为设施农业环境调控及小气候预报提供支持。

关键词: 绢毛匍匐委陵菜, 绢毛匍匐委陵菜, 秋水仙素, 染色体加倍, 观赏性, 抗逆性

Abstract: To improve facility agro-meteorological services in Jinshan Shanghai, and mitigate the impact of meteorological disasters on greenhouse ‘Yulu’ peach production, based on the meteorological observation data inside and outside the solar greenhouse in spring during 2015 to 2017, the temperature characteristic and the minimum temperature forecast model inside the greenhouse in spring were studied by using correlation and stepwise regression analysis method. The results showed that the temperature inside the peach greenhouse had an obvious diurnal variation in sunny and cloudy days, and the range of temperature change was greater in sunny days than in cloudy days. The humidity inside was higher than that in continuous overcast days, and it seriously affected the normal growth and pollination of flat peach. The minimum temperature inside the solar greenhouse was preferably related to the highest and lowest temperature inside or outside the solar greenhouse. The minimum temperature forecast model inside the solar greenhouse in winter has been set up by using 2015—2016 spring data. The forecast model has been verified by the spring data in 2017. The absolute error (AE) of the forecast minimum temperature inside the peach greenhouse in the whole spring was about 1.56℃, the average relative errors was about 18%, and the average absolute errors (RMSE) was about 4.97℃,The model result in overcast days was best. The results of model fitting and forecast test showed that forecast model had high accurate and good practicability.