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中国农学通报 ›› 2017, Vol. 33 ›› Issue (9): 133-140.doi: 10.11924/j.issn.1000-6850.casb16110119

• 工程 机械 水利 装备 • 上一篇    下一篇

南方双膜塑料大棚内气温的谐波模拟

朱佳敏,杨栋,郭建民,丁烨毅,黄鹤楼,孙军波   

  1. 北仑区气象局,宁波市气象台,宁波市气象台,宁波市气象台,宁波市气象台,慈溪市气象局
  • 收稿日期:2016-11-23 修回日期:2017-03-02 接受日期:2017-01-18 出版日期:2017-03-28 发布日期:2017-03-28
  • 通讯作者: 杨栋
  • 基金资助:
    宁波市气象局青年项目“慈溪塑料大棚低温预报及预警指标研究”(NBQX2014002C);宁波市气象局一般项目“特色农产品气候品质认证模型建立技术研究”(NBQX2014004B);宁波市科技计划项目“宁波市霾天气形成机制及预报预警技术研究”(2013C51013)

Harmonic Simulation of Air Temperature: Double Membrane Greenhouses in South China

郭建民,丁烨毅,黄鹤楼 and 孙军波   

  • Received:2016-11-23 Revised:2017-03-02 Accepted:2017-01-18 Online:2017-03-28 Published:2017-03-28

摘要: 目前针对南方双膜塑料大棚棚内温度模拟的研究较少,普适性也有待近一步提高。本研究基于2010—2014年的南方代表性塑料大棚内外气象观测数据,利用谐波法构建适用于南方地区双膜覆盖塑料大棚棚内温度的逐小时预报模型。结果表明:2阶谐波(基波 2次谐波)能较好地反映南方双膜覆盖大棚内温度的变化特征。基于棚外温度的谐波特征参量及其他气象要素构建的棚内温度预报模型,能较好地模拟不同天况下(晴、多云、阴)双膜覆盖大棚的棚内温度日变化。模型回代检验结果显示不同天气条件下绝对误差的日平均值小于1.8℃。模型对不同时间段棚内温度的模拟精度呈夜间>白天,对棚内日最低温度的模拟效果突出,不同天气条件下最低温度的预报的绝对误差均低于1.2℃,模型对最高温度的预报精度较最低温度偏低0.5~1℃。

关键词: 富贵籽, 富贵籽, 花芽分化, 温度, 光照

Abstract: Studies on temperature simulation for double membrane greenhouses is still at the preliminary stage, and the universality of the simulation model needs to be further improved. In this study, the harmonic method was employed to simulate the air temperature variation inside the double membrane greenhouses based on the meteorological data observed from 2010 to 2014. The results indicated that: 2 order harmonic model (1st and 2nd harmonic) could well simulate the temperature variation inside greenhouses with double membrane; the temperature variation inside the greenhouse with double membrane could be well simulated with the model based on the harmonic parameters of outside temperature; the daily mean errors of model’s backward substitution were all less than 1.8℃ under different weather conditions; the daily mean errors of temperature forecasting were (1.9±1.4)℃, (2.1±1.6)℃ and (1.7±1.3)℃ for sunny day, partly cloudy day and overcast day, respectively; the model’s simulation accuracy in nighttime was higher than that in daytime; the model was with good performance when to forecast the minimum temperature as the absolute error was all less than 1.2℃ under different weather conditions; the simulation accuracy for maximum temperature was 0.5 to 1℃ larger than that of minimum temperature.