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贾秋兰,吴云龙.近41a白洋淀湿地潜在蒸散量变化分析[J].农学学报,2018,8(5):10-14..The analysis of Potential Evapotranspiration of Baiyangdian marsh in rencet 41a[J].Journal of Agriculture,2018,8(5):10-14
近41a白洋淀湿地潜在蒸散量变化分析
The analysis of Potential Evapotranspiration of Baiyangdian marsh in rencet 41a
投稿时间:2017-12-07  修订日期:2018-02-12
DOI:10.11923/j.issn.2095-4050.cjas17120004
中文关键词: 白洋淀湿地  气候变暖 潜在蒸散量  趋势 Mann-Kendall突变检验 Morlet小波分析
英文关键词: Baiyangdian  Marshs, climate  warming, potential  evapotranspiration, trends, Mann-Kendall  mutation test, Morlet  wavelet analysis
摘要点击次数: 50
全文下载次数: 52
基金项目:河北省气候变化分析和评估技术规范项目(13xy03)
作者单位E-mail
贾秋兰 邢台市气象局 47049186@qq.com 
吴云龙 辛集市气象局 43177660@qq.com 
中文摘要:
      利用白洋淀湿地内的安新气象站1972-2012年的逐日气象数据,运用趋势分析、标准差、Mann-Kendall突变检验、Morlet小波分析等方法,分析了白洋淀湿地的潜在蒸散量变化特征,结果表明:近41a来,白洋淀湿地的潜在蒸散量呈下降趋势,其中,年际、春季和秋季的潜在蒸散量随时间的变化减少明显,在对各季节潜在蒸散量的波动分析中,夏季的波动性最大,冬季的波动性最小;该湿地潜在蒸散量随时间的变化存在突变减少过程,其中,年潜在蒸散量在1988年下降显著,夏季在2001年下降显著,秋季在1991年下降显著;年潜在蒸散量存在8-10a的周期变化特征,春季潜在蒸散量存在5-7a左右的变化周期,夏季存在准8a左右的周期变化特征,秋季在90年代后存在准8a左右的周期特征,冬季存在准10a的变化周期。
英文摘要:
      Based on the daily Meteorological data of AnXin Meteorological Observation Station in Baiyangdian marsh within 1972-2012 years, using trend analysis, standard deviation, Mann-Kendall mutation test and Morlet wavelet analysis method, this article analyzes the potential evapotranspiration variation in Baiyangdian marsh. The analyzation reveals that, in the nearly 41 years, the potential evapotranspiration in Baiyangdian Marshs shows a downward trend, especially when it comes to the inter-annual, spring and autumn. The fluctuation analysis of each season evapotranspiration reveals that the maximum volatility happens in summer, while the minimum in winter. The marsh evapotranspiration sometimes takes mutations reduce processes, like annual potential evapotranspiration decrease in 1988, summer potential evapotranspiration decrease in 2001, fall potential evapotranspiration decrease in 1991. The annual potential evapotranspiration variation takes a 8-10 years cycle, the spring potential evapotranspiration variation a 5-7 years cycle, the summer and autumn a 8 years cycle, and the winter a 10 years cycle.
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