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草业学报 ›› 2016, Vol. 25 ›› Issue (5): 13-20.DOI: 10.11686/cyxb2015349

• 研究论文 • 上一篇    下一篇

内蒙古不同类型草原区Hargreaves计算参考作物蒸散量的适用性分析

孙小龙1, 武荣盛1, 李平2*, *, 李丹1   

  1. 1.内蒙古生态与农业气象中心,内蒙古呼和浩特 010051;
    2.中国农业科学院草原研究所,内蒙古呼和浩特 010010
  • 收稿日期:2015-07-15 出版日期:2016-05-20 发布日期:2016-05-20
  • 通讯作者: *通信作者Corresponding author. E-mail: lipingcau@126.com
  • 作者简介:作者简介:孙小龙(1982-),男,内蒙古呼伦贝尔人,工程师,硕士。E-mail:sxldreamcast@163.com
  • 基金资助:
    国家重点基础研究发展计划(973计划)(2014CB138806),国家自然科学基金项目(71403272),内蒙古自治区自然科学基金项目(2014BS0709)和内蒙古自治区气象局科技创新项目(nmqxkjcx201406)资助

AnevaluationoftheHargreavesmethodforestimatingreferenceevapotranspirationindifferentgrasslandtypesinInnerMongolia,China

SUN Xiao-Long1, WU Rong-Sheng1, LI Ping2, *, LI Dan1   

  1. 1.InnerMongoliaEcologyandAgro-MeteorologyCenter,Hohhot 010051,China;
    2.GrasslandResearchInstituteofCAAS,Hohhot 010010,China
  • Received:2015-07-15 Online:2016-05-20 Published:2016-05-20

摘要: 参考作物蒸散量是各种气象条件对作物需水量影响的综合反映,是草地管理和水资源评价的重要依据。本文选取内蒙古典型草原、草甸草原、荒漠草原6个气象站1971-2014年逐日的气象资料,以Penman-Monteith公式计算参考作物日蒸散量为标准,比较和分析了Hargreaves公式在内蒙古不同类型草原区的适用性,并按照草地类型、季节对Hargreaves模型进行订正。结果表明,与Penman-Monteith法相比Hargreaves法计算出的参考作物日蒸散量偏低,其日绝对偏差为0.539 mm,日平均偏差为20.98%,夏季偏差较大,其他季节偏差相对较小;订正后其相关系数大大提高,由订正前的0.494~0.874提升为0.863~0.985,订正结果的绝对偏差和相对偏差均显著降低,月参考作物蒸散量的绝对偏差由订正前的38.82 mm降低到5.84 mm,相对偏差由36.79%降低为7.76%。非参数检验结果表明两种方法所模拟ET0无显著差异,其精度可以满足科研、生产等需要,在气象站点观测项目较少的我国草原区应用前景广阔。

Abstract: Reference crop evapotranspiration (ET0) is a comprehensive indication of the effect of meteorological conditions on crop water requirement, and it is an important tool for grassland management and water resource monitoring. Using meteorological data from 1971 to 2014, ET0 in 6 stations was calculated by Penman-Monteith and Hargreaves models, the performance of the Hargreaves model in different types of grassland in Inner Mongolia was analyzed, and the Hargreaves model was revised. It was found that the daily ET0 calculated with the Hargreaves model was below that of the Penman-Monteith model. The bias error (BE) and mean bias error (MBE) were 0.539 mm and 20.98%, respectively. The correlation coefficient increased from 0.494-0.874 to 0.863-0.985 after revision, and the BE and MBE were also significantly reduced, with the BE decreasing from 38.82 mm to 5.84 mm, and the MBE also decreasing from 36.79% to 7.76% of monthly ET0. A non-parametric test indicated there was no significant difference between Penman-Monteith and Hargreaves models after revision of the latter. The revised Hargreaves model is sufficiently accurate to meet the requirements of research and practice, and has potential to be widely used, especially in areas where weather station data is relatively scarce, as is the case in many areas in China.