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1957-2009年南澳蒸发量变化特征及影响因子
引用本文:林苗青,杜勤博,翁武坤.1957-2009年南澳蒸发量变化特征及影响因子[J].气象与环境学报,2011,27(1):40-44.
作者姓名:林苗青  杜勤博  翁武坤
作者单位:1.南澳县气象局,广东 南澳 515900;2.汕头市气象局,广东 汕头 515041
基金项目:科技部农业科技成果转化资金重点项目,广东省科技计划重点项目
摘    要:利用1957-2009年南澳县小型蒸发皿蒸发量资料,分析了南澳蒸发量的气候变化趋势.结果表明:南澳10月蒸发量最大,2月蒸发量最少;秋季蒸发量最大,夏季次之,冬季最少.1957-2009年蒸发量呈明显下降趋势,20世纪60-90年代基本上是锐减,21世纪的第1个10 a反而上升,平均以7.2mm/a的趋势下降;11月减...

关 键 词:蒸发量  蒸发皿  影响因子  南澳县
收稿时间:2010-06-28

Evaporation characteristics and its influencing factor from 1957 to 2009 in Nan'ao County, Guangdong province
LIN Miao-qing,DU Qin-bo,WENG Wu-kun.Evaporation characteristics and its influencing factor from 1957 to 2009 in Nan'ao County, Guangdong province[J].Journal of Meteorology and Environment,2011,27(1):40-44.
Authors:LIN Miao-qing  DU Qin-bo  WENG Wu-kun
Institution:1. Nan’ao Meteorological Bureau, Nanao 515900, China; 2. Shantou Meteorological Bureau, Shantou 515041, China
Abstract:Based on evaporation data from a small evaporation pan in Nan’ao County from 1957 to 2009, the climate variation characteristics of evaporation in Nan’ao were analyzed. The results show that the maximum and the minimum evaporation appear in October and February, respectively. Among the four seasons, the highest evaporation is in autumn, second in summer, and the lowest in winter. The evaporation trend decreases clearly from 1957 to 2009 with an average rate of 7.2 mm per year, especially during the period of 1960s to 1990s, while it increases in the first decade of 21st century. The maximum decreasing amplitude of evaporation is in November and the minimum is in July for monthly variation, while the maximum is in winter, then in autumn and the minimum in summer for seasonal variation. On the other hand, the analysis indicates that the decrease of sunshine duration and average wind speed are related to that of evaporation, and they are the mainly influencing factors causing the decrease of evaporation. Furthermore, the increase of low cloud cover also leads to the decrease of sunshine duration. Evaporation has negative correlations with relative humidity, precipitation and water vapor pressure, especially with low and total cloud cover.
Keywords:Evaporation  Variation  Influencing factor  Nan’ao County
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