北方农业学报 ›› 2016, Vol. 44 ›› Issue (2): 101-101.

• 研究报告 • 上一篇    下一篇

内蒙古地区日光温室气温预报方法及指标研究

金林雪;吴瑞芬;张超   

  1. 内蒙古生态与农业气象中心,内蒙古呼和浩特010050
  • 出版日期:2016-04-20 发布日期:2016-04-20
  • 通讯作者: 金林雪
  • 作者简介:金林雪(1986-),女,助理工程师,硕士,主要从事农业气象方面的研究工作。 通讯作者:吴瑞芬(1966-),女,高级工程师,硕士,主要从事农业气象方面的研究工作。
  • 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)

Study on the temperature forecasting methods and indicators of sunlight greenhouse in Inner Mongolia

JIN Linxue, WU Ruifen, ZHANG Chao (Center of Ecology and Agricultural Meteorology of Inner Mongolia,Hohhot 010050,China)   

  • Online:2016-04-20 Published:2016-04-20

摘要: 为了探求内蒙古地区日光温室气温预报方法及服务指标,提高气象为农业服务水平,利用内蒙古东、中、西部代表性站点2011—2013年度日光温室室内外气温资料,分析晴天条件下不同季节温室内外气温的变化关系,在此基础上,建立温室气温日变化及最低、最高气温的预测模型,并利用2014年相关数据对模型进行验证;同时,收集整理内蒙古地区常见设施果蔬的低温指标,根据温室预报模型,反演温棚外气温临界值。结果表明:模型拟合的精度较高,反演的低温服务指标为有效防御低温灾害提供决策依据,也为因地制宜发展设施农业及气温预报业务提供参考。

Abstract: In order to seek the inside temperature prediction methods and indicators for sunlight greenhouse in Inner Mongolia, based on the temperature data inside and outside of sunlight greenhouse during 2011-2013, selecting 3representative stations from east to west, and the correlation between the outside temperatures and inside temperatures of the greenhouse were analyzed under the conditions of sunny day at different seasons(spring, autumn and winter), different periods(day and night). And on this basis, the prediction models of the greenhouse temperature daily variation, daily minimum and maximum temperature were established, then the accuracy of the models were fitted by 2014 observational data. Meanwhile the low temperature index of common fruits and vegetables in Inner Mongolia were collected and presented,and the outside temperature threshold according to the forecast models was inverted. The results showed that the models had goodness fitting accuracy, the inversion air temperature outside can provide the basis for decision-making, these results are of great worth for defending low-temperature disasters, it also can serve as references of temperature forecasting work compared for different regions sunlight greenhouse.

中图分类号: 

  • S625.51