文章摘要
鞠 彬, 胡 丹.参考作物蒸发蒸腾量计算方法在额尔齐斯河流域的适用性研究Journal of Water Resources and Water Engineering[J].,2014,25(5):106-111
参考作物蒸发蒸腾量计算方法在额尔齐斯河流域的适用性研究
Research on adaptability of estimated method of different reference crop evapotranspiration in Irtysh river basin
  
DOI:10.11705/j.issn.1672-643X.2014.05.024
中文关键词: 参考作物蒸发蒸腾量; ET0 计算方法; 水面蒸发量  额尔齐斯河流域
英文关键词: reference crop evapotranspiration  ET0 estimated method  evaporation  Irtysh river basin
基金项目:
Author NameAffiliation
JU Bin1, HU Dan2 (1.河海大学 水文水资源学院 江苏 南京 210098 2.靖江市港口管理局 江苏 泰州 225300) 
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中文摘要:
      基于额尔齐斯河流域5个气象站哈巴河、吉木乃、福海、阿勒泰、富蕴站1962-2012年的日观测气象资料,选用7种方法计算各站历年逐日参考作物蒸发蒸腾量(ET0),并以FAO Penman-Monteith法计算结果为标准,建立7种方法间的拟合关系,以比较日尺度与月尺度下各计算方法的精度与地区适宜性。结果表明:在额尔齐斯河流域,7种方法计算的参考作物蒸发蒸腾量变化趋势基本相同,但数值上有一定差异;Kimberly Penman法、Hargreaves-Samani法与FAO Penman-Monteith法计算结果接近,适用性较好;对于缺少气象资料地区,使用Hargreaves-Samani法可获得较好估值;同时分析了7种方法计算的ET0与实测的水面蒸发量之间的关系,利用拟合公式,可以用水面蒸发资料估算该地区ET0值。
英文摘要:
      Based on the daily observation meteorological data at habahe、jimunai、fuhai、aletai and fuyun weather station,the paper calculated daily reference crop evapotranspiration by seven methods such as FAO Penman-Monteith,FAO-24 Penman,1948 penman,Makkink,Priestley-Taylor,Hargreaves-Samani,Allen method. FAO Penman-Monteith method was taken as the standard. The paper established a fitting relationship for seven calculation methods and compared the accuracy of calculation method and regional suitability under daily and monthly scales. Results showed that the variation trend of ET0 calculated by seven methods is basic same for five stations on Irtysh river basin, but the values are different. The difference between the results computed by The method of Kimberly penman,Hargreaves-Samani and FAO Penman-Monteith are so small, and they are adaptable for every region. If climatic data are insufficient, Hargreaves- Samani method can provide reliable ET0 estimation. Meanwhile it analyzed the relationship between ET0 computed by seven methods and evaporation of water surface. The evaporation can be used to estimate ET0 by regression formula.
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