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中国农学通报

中国农学通报 ›› 2015, Vol. 31 ›› Issue (8): 164-168.doi: 10.11924/j.issn.1000-6850.2014-1060

• 资源 环境 生态 土壤 气象 • 上一篇    下一篇

E-601B型蒸发与小型蒸发对比分析

杜 红1,段雅楠1,刘 莉1,刘 兰1,张 玲1,唐洪君2   

  1. (1石河子气象局,新疆石河子 832000；2巴音郭楞蒙古自治州气象局,新疆库尔勒 841000）
  • 收稿日期:2014-04-14 修回日期:2014-12-20 接受日期:2014-12-25 出版日期:2015-04-07 发布日期:2015-04-07
  • 通讯作者: 杜红
  • 基金资助:
    石河子气象局科研项目sky201105

Comparative Analysis of E-601B Evaporation and Small Evaporation

Du Hong1, Duan Ya’nan1, Liu Li1, Liu Lan1, Zhang Ling1, Tang Hongjun2   

  1. (1Shihezi Bureau of Meteorology, Shihezi Xinjiang 832000;2Bayinggolin Bureau of Meteorology, Korla Xinjiang 841000)
  • Received:2014-04-14 Revised:2014-12-20 Accepted:2014-12-25 Online:2015-04-07 Published:2015-04-07

摘要： 目前部分台站取消蒸发量人工观测（非结冰期）改用大型蒸发获取数据，为了确保蒸发量数据的连续性和可比较性，需要计算大小型蒸发量折算系数。采用相关系数、显著性检验、数据分布特征检验量计算，得到蒸发量分布特征；计算折算系数、偏大率和离差分析，得到大小型蒸发的折算关系。结果表明，不同蒸发观测仪器蒸发量年际变化差异较大；只有大型蒸发春季蒸发值通过显著性检验，即蒸发量随时间变化微弱；小型蒸发在春季和夏季蒸发量微偏大，峰态系数比0稍有偏离，夏季蒸发量在中值范围内分布集中明显。6、7、8、10月大小型蒸发值相关系数小，偏大率变化趋势与蒸发量月际变化趋势相近。折算系数在非冰期一直增加。以此得到结论：多年逐月蒸发量平均值之间有显著的线性相关性，可以用作大小型蒸发换算。

关键词: 中华金叶榆, 中华金叶榆, 昼夜温差, 叶绿素, 可溶性糖含量

Abstract: Nowadays, some observation stations cancel the artificial observation of evaporation (during time when there is no ice formation). They obtain this data from evaporation tank. In order to gain successional and comparative data, we should calculate the conversion coefficient between evaporation tank and artificial observation equipment. The author adopted interrelated coefficient, significant correlation test and the characteristic of distribution coefficient in order to get the distribution characteristic of evaporation tank and artificial equipment. Simultaneously, the author calculated the conversion coefficient, upper coefficient and analysis of dispersion. The results showed that the inter-annual variability was different due to evaporation measurement equipment. Only values of evaporation tank in spring season passed significance test, the evaporation value had a weak correlation with time. Artificial evaporating value was slightly larger during the spring and summer seasons, Kurtosis coefficient was slightly deviated from 0; the summer evaporation distributed in the median range obviously. In June, July, August, October, the conversion coefficient was smaller than that of any other time, upper coefficient tendency was similar with evaporation value tendency in months. Especially during the season without ice formation, there was a rising tendency of the conversion coefficient. In conclusion, the liner correlation was obvious in average monthly evaporation value during many years; it was a good way to carry out the evaporation conversion.