| 赤峰市松山区山坡地日光温室气温变化规律 |
| |
| 引用本文： | 刘军利,王晨晨,秦富仓.赤峰市松山区山坡地日光温室气温变化规律[J].中国农学通报,2014,30(10):207-211. |
| |
| 作者姓名： | 刘军利 王晨晨 秦富仓 |
| |
| 作者单位： | 1. 内蒙古农业大学2. 内蒙古农业大学生态环境学院 |
| |
| 基金项目： | 国家林业局948项目《生物缓冲带荒漠化防治技术体系引进》 |
| |
| 摘 要： | 为了解山坡地日光温室气温变化特征，提高设施农业气象服务水平，本研究对温室内外小气候因子进行了观测。采用相关分析和逐步回归的方法，对夏冬2季温室内外气温、湿度、地温和太阳辐射变化特征及室内温度预测模型进行了研究。结果表明：（1）夏冬2季室内温度、地温具有明显的日变化规律，冬季温室增温效果大于夏季，山坡地日光温室具有良好的保温效果；（2）5 cm、10 cm、20 cm地温变化幅度随土层深度的增加而减小，峰值出现随土层深度的增加而相应的滞后1 h左右；（3）日光温室室内温度与室内外小气候因子相关性较好。试验建立的夏冬2季室内温度预报模型，夏冬2季室内温度预报值绝对误差小于1℃，相对误差小于10%。
|
| 关 键 词： | 衰老进程 衰老进程 |
| 收稿时间： | 9/9/2013 12:00:00 AM |
| 修稿时间： | 2013/9/28 0:00:00 |
Change Laws of Air Temperature in Sloping Fields Solar Greenhouse in Songshan Area of Chifeng City |
| |
| Liu Junli,Wang Chenchen,Qin Fucang.Change Laws of Air Temperature in Sloping Fields Solar Greenhouse in Songshan Area of Chifeng City[J].Chinese Agricultural Science Bulletin,2014,30(10):207-211. |
| |
| Authors: | Liu Junli Wang Chenchen Qin Fucang |
| |
| Institution: | (College of Ecology and Environmental Science, Inner Mongolia Agricultural University, Hohhot 010018) |
| |
| Abstract: | The microclimate factors of in inside and outside greenhouse were observed to know civil wall greenhouse microclimate variation and improve facilities for agricultural meteorological service levels. The temperature, moisture, ground temperature and solar radiation in inside and outside greenhouse and inside model prediction were observed by using correlation analysis and stepwise regression method. The results showed that： （1） indoor temperature, humidity, soil temperature had obvious diurnal variation in summer and winter, and the greenhouse warming was higher in winter than in summer, which confirmed that greenhouse construction wall had a good thermal insulation effect; （2） with the depth increasing of soil layer, the soil temperature was decreased at 5, 10 and 20 cm, and the peak value of soil temperature was lag 1 hour with the increasing of soil layer; （3） a positive relationship was found between greenhouse indoor temperature and indoor microclimate factors. The absolute error value of indoor temperature prediction was less than 1 ℃in summer and winter and relative error was less than 10% by established indoor temperature prediction model in summer and winter. |
| |
| Keywords: | forecast |
| 本文献已被 CNKI 维普 等数据库收录！ |
| 点击此处可从《中国农学通报》浏览原始摘要信息 |
| 点击此处可从《中国农学通报》下载免费的PDF全文 |
