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中国农学通报 ›› 2014, Vol. 30 ›› Issue (35): 248-254.doi: 10.11924/j.issn.1000-6850.2014-0977

所属专题: 农业气象

• 工程 机械 水利 装备 • 上一篇    下一篇

厚墙体日光温室气温变化特征及预测方法研究

吴瑞芬,金林雪,武荣盛,张超   

  1. 内蒙古生态与农业气象中心,内蒙古自治区生态与农业气象中心,内蒙古自治区生态与农业气象中心,内蒙古生态与农业气象中心
  • 收稿日期:2014-04-06 修回日期:2014-12-15 接受日期:2014-08-26 出版日期:2015-03-18 发布日期:2015-03-18
  • 通讯作者: 金林雪
  • 基金资助:
    公益性行业 (气象) 科研专项经费项目 “华北日光温室小气候资源高效利用技术研究” (GYHY201306039)。

Variation Characteristics of Temperature and Precipitation of Thick Wall Sunlight Greenhouse

  • Received:2014-04-06 Revised:2014-12-15 Accepted:2014-08-26 Online:2015-03-18 Published:2015-03-18

摘要: 为探求内蒙古高寒地区日光温室小气候变化特征及预测预报方法,利用内蒙古赤峰市宁城县2012-2013 年度春、秋、冬季日光温室内外气温资料,分析不同季节(春季、秋季、冬季)、不同天气条件(晴天、阴天)、一日内不同时段(白天、夜间)温室内气温变化特征和增温保温效应及温室内气温的变化与一日时间变化、室外气温的相关性,在此基础上,建立了温室气温日变化及最低气温的预测模型,并对模型的准确率进行了验证。结果表明:模型拟合的准确率较高,可为厚墙体日光温室气象服务提供技术支撑。

关键词: 主成分分析, 主成分分析

Abstract: In order to explore the microclimate characteristics and inside temperature prediction for sunlight greenhouse in Inner Mongolia, based on the temperature data inside and outside of sunlight greenhouse in Ningcheng County, Chifeng City, the change features of air temperature under the conditions of different seasons (spring, autumn and winter), different weather types (sunny and cloudy) and different periods (day and night), as well as the correlation between indoor temperature and outdoor temperature were analyzed. And on this basis, the prediction models of daily variation and daily minimum temperature of the greenhouse temperature were established, then the accuracy of the models were verified. The results showed that the models fitting accuracy was good and could provide technical support to meteorological service of thick wall sunlight greenhouse.