| 东北地区大型日光温室最高、最低温度预报模式探讨 |
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| 引用本文： | 张索铁,马树庆,庞义,王琪,郭维,丁志勇.东北地区大型日光温室最高、最低温度预报模式探讨[J].中国农学通报,2014,30(23):249-253. |
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| 作者姓名： | 张索铁 马树庆 庞义 王琪 郭维 丁志勇 |
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| 作者单位： | 1. 公主岭市气象局2. 吉林省气象台3. 吉林省气象研究所4. 吉林省气象局 |
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| 基金项目： | 公益性行业（气象）研究专项“东北设施农业生产专业天气预报关键技术研究”（GYHY201206024）.吉林省气象局科研项目“公主岭市设施农业温度预报模型建立及低温冻害指标研究”（2012-06）. |
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| 摘 要： | 为了在东北地区开展大型日光温室内气温预报，防御温室蔬菜冷冻害和热害，在东北地区的中部建立大型日温室和温室小气候自动观测系统，应用小气候监测资料研究棚内外最高、最低气温的关系，建立相关模式，用棚外的最高、最低温度预报值预报棚内的最低（最高）温度。结果表明，大型日光温室内、外最低（最高）气温相关显著，不同季节、不同天气条件下的相关模式差异较大。这类相关模式可以用于日光温室内最低和最高气温的预报，从而提升温室气象要素预报水平，预防设施农业气象灾害，提高蔬菜生产效益。
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| 关 键 词： | 东北地区 日观温室 最高最低气温 预报模式 |
| 收稿时间： | 2013/12/3 0:00:00 |
| 修稿时间： | 1/7/2014 12:00:00 AM |
An Inquiry on Forecast Model of Maximum and Minimum Temperature in Large Sunlight Greenhouse in Northeast China |
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| Institution: | Zhang Suotie1, Ma Shuqing1, Pang Yi1, Wang Qi3, Guo Wei4, Ding Zhiyong1 (1 Gongzhuling City Meteorological Bureau, Gongzhuling Jilin 136100; 2Meteorological Observatory of Jilin Province, Changchun 130062; 3lnstitute of Meteorological Science of Jilin Province, Changchun 130062; ＇Meteorological Bureau of Jilin Province, Changchun 1300621 |
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| Abstract: | In order to carry out the forecast of temperature inside large-scale solar greenhouse, defense cold and heat harm of greenhouse vegetable, a large-scale solar greenhouse and its automatic observation system of microclimate were developed in the central region of northeast China, and the relationship between the outside temperatures and inside temperatures of the greenhouse were analyzed by using the microclimate data. The models to forecast the maximum/minimum temperature inside the greenhouse according to the outside temperatures were developed. The results showed that the relation of inside and outside temperature (maximum and minimum temperature) of large sunlight greenhouse was close significantly. The relationship varied in different seasons and weather conditions. Its related patterns could be used to forecast of minimum/maximum temperature inside the greenhouse, so as to enhance the level of greenhouse meteorological prediction and the preventive facilities of facility agricultural meteorological disaster, improve the vegetable production efficiency. |
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| Keywords: | forecast model |
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