春秋棚西瓜生产环境温度变化规律监测及 灾害预警分析初探
Preliminary Analysis on Monitoring of Temperature Changes of Production Environment and Disaster Warning of Watermelon in Spring and Autumn Plastic Greenhouse
  
DOI:
中文关键词:  关键词:春秋棚  西瓜  环境温度  变化规律
英文关键词:Keywords: plastic greenhouse in spring or autumn  watermelon  ambient temperature  change rule
基金项目:基金项目:西甜瓜产业技术体系北京市创新团队项目(BAIC10-2018);国家重点研发计划项目(2016YFD0201202)。
作者单位
刘立娟1 ,周成贤1 ,蒋金成1 ,焦玉英1 ,陈文钊1 ,刘 慧2 ,焦丽燕1 (1.北京市延庆区农业技术推广站北京 1021002.北京市延庆区种植业服务中心北京 102100) 
摘要点击次数: 200
全文下载次数: 0
中文摘要:
      摘要:为了科学精准地调控春秋棚温度,创造适宜西瓜生长的环境,针对延庆春秋棚西瓜生产开展 棚温监测,收集同期棚外相应气象资料,分析棚内温度日变化和月变化规律以及棚内外温度的相关性。 结果表明:春秋棚保温、增温效果较为明显,春秋棚内温度与外界温度、天气状况密切相关,晴天时棚 内气温变化幅度较大,升温、降温均较明显,多云、阴天气温变化幅度较小。结合西瓜冷、冻害温度指 标,运用统计回归方法,对早春夜间低温条件下棚内监测温度和外界气象资料温度进行分析,确定了利 用天气预报最低温度来预测棚室夜间冷害、冻害预警指标,当天气预报最低温度≤8.99 ℃时,有发生冷 害风险;当天气预报最低温度≤4.21 ℃时,有发生冻害风险,可有针对性地服务于春秋棚西瓜生产。
英文摘要:
      Abstract: In order to control the temperature of the spring and autumn plastic greenhouse scientifically and precisely, and create a temperature environment suitable for watermelon growth, the temperature monitoring in the spring and autumn plastic greenhouse was carried out for watermelon production in Yanqing district. The corresponding weather and meteorological data outside the plastic greenhouse during the same period were collected, and the diurnal and monthly changes of the temperature inside the plastic greenhouse and the correlation between the temperature inside and outside the plastic greenhouse were analyzed. The results showed that the effects of heat preservation and temperature increase in spring and autumn plastic greenhouses were obvious, and the temperature inside spring and autumn plastic greenhouses was closely related to the external temperature and weather conditions, the range of temperature changes in sunny days was large, and the ranges of temperature rise and temperature drop were obvious, while the ranges of temperature change in cloudy and overcast days were small. Combined with cold and freezing injury temperature indicators of watermelon, statistical regression method was used to analyze the temperature of indoor monitoring and external meteorological data under the condition of low temperature at night in early spring, and the prediction index of cold and freezing injury at night was determined by using the lowest temperature forecast. When the weather forecast minimum temperature was less than 8.99 ℃, there was a risk of cold injury, and the weather forecast minimum temperature was less than 4.21 ℃, there was a risk of freezing injury, which could be targeted to used for watermelon production in spring and autumn plastic greenhouse.
查看全文   查看/发表评论  下载PDF阅读器
关闭
京ICP备09053977号-8
function PdfOpen(url){ var win="toolbar=no,location=no,directories=no,status=yes,menubar=yes,scrollbars=yes,resizable=yes"; window.open(url,"",win); } function openWin(url,w,h){ var win="toolbar=no,location=no,directories=no,status=no,menubar=no,scrollbars=yes,resizable=no,width=" + w + ",height=" + h; controlWindow=window.open(url,"",win); } &et=05856B6FACD30C99481FAE3D6C2B92C1DB2525BF9F704B98348896321F7102BAB9981FD3B90B6D3EB5146307EA4D042C396452DD4A7D321BDA987DC0F503BD143E256AC64052FAD8A4C2279B5A09CF19CF8EF6B2BB2A8816A7C8263B1988B38D2F4AF95B5B620590B7E8BCF2974F6E709D02E29AE1F3551F71E1C39F51AF79A0AD4E0129B41CFB61A3D691EA1686DB95B3DEE4B000EBCFF95FCF8BC8456C2BE2&pcid=03F54A49DE00578AA0E5DDF5BC021AA7&cid=5FDF701823562145&jid=9C3D283F1E08CB60D7E2E54C5F57EE7E&yid=885CEFEC57DA488F&aid=B010830DC8A2C3CE796E4042F4C42562&vid=&iid=B31275AF3241DB2D&sid=F3090AE9B60B7ED1&eid=FC0714F8D2EB605D&fileno=20220602&flag=1&is_more=0">