J4 ›› 2009, Vol. 27 ›› Issue (3): 213-219.

• 论文 • 上一篇    下一篇

阿勒泰地区暖季蒸发变化特征及与气象因子的关系

庄晓翠张林梅阿志肯刘大锋   

  1. (新疆阿勒泰地区气象局,新疆 阿勒泰 836500)
  • 收稿日期:2009-06-11 修回日期:2009-07-30 出版日期:2010-09-30 发布日期:2009-09-30
  • 作者简介:庄晓翠(1964-),女,重庆市人,高级工程师,现从事天气预报和气候变化的研究工作.E-mai:l zxcxjalt@ 163. com

Relationship Between Evaporation Variation andM eteorological
Factors inW arm Season in AletaiArea

 ZHUANG Xiaocu,i ZHANG Linme,i A Zhiken, LIU Dafeng   

  1. (AletaiMeteorologicalBureau, Aletai836500, China)
  • Received:2009-06-11 Revised:2009-07-30 Online:2010-09-30 Published:2009-09-30

摘要:

用新疆阿勒泰地区7个气象站1964~2001年暖季(5~9月)20 cm口径蒸发皿蒸发量资料,运用线性趋势法、相关法分析发现,就整个地区平均而言,暖季蒸发皿蒸发量呈较明显的下降趋势;在区域内富蕴站呈显著上升趋势,吉木乃和布尔津站变化不显著,与全区不同步。完全相关系数法分析表明,整个地区平均而言,低云量、平均风速、气温日较差与蒸发皿蒸发量有显著的相关性,是影响蒸发量的主要因子,但各站有所不同。低云量及气溶胶等污染物的增加导致太阳辐射量减少,而引起气温日较差减少,最终导致蒸发量减少;平均风速减小则主要与全球变暖背景下亚洲冬季风和夏季风减弱导致我国平均风速减小有关。
    

关键词: 蒸发皿蒸发, 低云量, 平均风速, 日较差, 气象因子, 变化特征

Abstract:

Based on 20 cm pan evaporation data of7 weather stations inwarm seaon from 1964 to 2001 (May-September) inXinjiang Aletai area, the feature of evaporation changewas analyzed using the linear trend and correlation analysismethods. On average in this area, the pan evaporation inwarm season presented remarkable decreasing trend, while itwas increasing in Fuyun, and was no obvious change in Jimunai and Buerjing. Analysis on the complete correlation coefficients ofclimate factorswith pan evaporation on regionalaverage show that low cloud amount, averagewind speed and diurnal temperature rangewere themain influencing factors resulted in pan evaporation decrease, but for different station they were different. The decrease in solar radiation might relate to the increase of low cloud amount and aerosol aswell as the other pollutants, whichmade pan evaporation decrease. The lowering ofwind speedmightbe associated with theweakening of theAsian winter and summermonsoon under the background of globalwarming.

Key words: pan evaporation, low cloud amount, averagewind speed, daily temperature range, meteorological factor, variation feature

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