基于温度的参考作物蒸散量计算方法的适用性评价
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摘要
参考作物蒸散量是表征气候干湿程度、植被耗水量、生产潜力及水资源供需平衡的重要指标之一。以海口和敦煌两个气候相差较大的站点为例,利用Irmark-Allen、Hargreaves、Jensen-Haise 3种基于温度的ET_0计算方法,计算了2013—2015年两个站点的参考作物蒸散量,以FAO98 Penman-Monteith方法计算所得结果为标准,依据相关系数(R)及其显著性(P)、均方根误差(RMSE)和平均偏差(MBE)等量化指标,分别对3种方法计算结果在两个站点月和日序列的适用性进行评价,并对这3种方法进行本地化修正优化和检验。结果表明:本地化前,Irmark-Allen方法在海口的计算与Penman-Monteith的偏差最小且相关性好(R=0.97,P<0.01,RMSE=0.38mm/d,MBE=-0.01mm/d),其他两种方法均高估。3种基于温度的ET_0方法在敦煌都有很大的误差,其中Irmark-Allen方法在夏季偏低,在冬季偏高;Hargreaves方法整体偏高;Jensen-Haise方法在冬季不适用,出现无效负值,而在其他时段偏高。本地化后,3种基于温度的ET_0方法在两个地区都得到明显改善,其中Jensen-Haise方法在海口效果最好(R=0.96,P<0.01,RMSE=0.61mm/d,MBE=0.003mm/d),在敦煌效果也是最好的(R=0.96,P<0.01,RMSE=0.69mm/d,MBE=-0.02mm/d)。
The reference evapotranspiration(ET_0) is one of the important indicators to characterize the degree of climate drying,vegetation water consumption,potential productivity and water supply-demand balance.In this study,we evaluated the applicability of 3 temperature-based ET_0 methods including Irmark-Allen,Hargreaves,and Jensen-Haise in Haikou and Dunhuang stations with different climates compared to FAO98 Penman-Monteith method and optimized and checked out in each local site.The daily and monthly series of ET_0 were calculated from 2013 to 2015 using FAO98 Penman-Monteith and 3 temperature-based methods.The quantitative indices included correlation coefficient(R),significant(P) root-mean-square error(RMSE) and mean variation(MBE).Results showed that before localization,Irmark-Allen method performed best with the lowest deviation and highest correlation(R=0.97,P<0.01,RMSE=0.38 mm/d,MBE=-0.01 mm/d) in Haikou,while other two temperature-based methods overestimated ET_0 compared to FAO98 Penman-Monteith method.On the other hand,all 3 temperature-based methods were with large biases in Dunhuang,the ET_0 calculated by Irmark-Allen method was underestimated in summer but overestimated in winter,by Hargreaves method was overestimated for the whole period,by Jensen-Haise method was overestimated and invalid(ET_0<0) in winter.After localization,the 3 temperature-based methods were improved significantly in 2 regions.The optimized Jensen-Haise method was best performed in Haikou(R=0.96,P<0.01,RMSE=0.61 mm/d,MBE=0.003 mm/d) and Dunhuang(R=0.96,P<0.01,RMSE=0.69 mm/d,MBE=-0.02 mm/d).
The reference evapotranspiration(ET_0) is one of the important indicators to characterize the degree of climate drying,vegetation water consumption,potential productivity and water supply-demand balance.In this study,we evaluated the applicability of 3 temperature-based ET_0 methods including Irmark-Allen,Hargreaves,and Jensen-Haise in Haikou and Dunhuang stations with different climates compared to FAO98 Penman-Monteith method and optimized and checked out in each local site.The daily and monthly series of ET_0 were calculated from 2013 to 2015 using FAO98 Penman-Monteith and 3 temperature-based methods.The quantitative indices included correlation coefficient(R),significant(P) root-mean-square error(RMSE) and mean variation(MBE).Results showed that before localization,Irmark-Allen method performed best with the lowest deviation and highest correlation(R=0.97,P<0.01,RMSE=0.38 mm/d,MBE=-0.01 mm/d) in Haikou,while other two temperature-based methods overestimated ET_0 compared to FAO98 Penman-Monteith method.On the other hand,all 3 temperature-based methods were with large biases in Dunhuang,the ET_0 calculated by Irmark-Allen method was underestimated in summer but overestimated in winter,by Hargreaves method was overestimated for the whole period,by Jensen-Haise method was overestimated and invalid(ET_0<0) in winter.After localization,the 3 temperature-based methods were improved significantly in 2 regions.The optimized Jensen-Haise method was best performed in Haikou(R=0.96,P<0.01,RMSE=0.61 mm/d,MBE=0.003 mm/d) and Dunhuang(R=0.96,P<0.01,RMSE=0.69 mm/d,MBE=-0.02 mm/d).
引文
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[2]周广胜.气候变化对中国农业生产影响研究展望[J].气象与环境科学,2015,38(1):80-94.
[3]马珺玢,杨崧,王子谦.中南半岛春季土壤湿度异常对亚洲热带夏季风建立和发展的影响 [J].气象与环境科学,2018,41(1):19-30.
[4]薛昌颖.基于作物模型的河南省旱稻干旱风险评估[J].气象与环境科学,2016,39(2):126-131.
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[8]吴东,何奇瑾,潘志华,等.东北春玉米不同生育阶段日蒸散发模型的适用性研究[J].中国农业大学学报,2017,22(8):18-29.
[9]李玉霖,崔建垣,张铜会.参考作物蒸散量计算方法的比较研究[J].中国沙漠,2002,22(4):372-376.
[10]杜尧东,刘作新,张运福.参考作物蒸散计算方法及其评价[J].河南农业大学学报,2001,35(1):57-61.
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[13]Hargreaves G H,Allen R G.History and evaluation of Hargreaves evapotranspiration equation.J Irrig Drain EngASCE[J].Journal of Irrigation & Drainage Engineering,2003,129(1):53-63.
[14]Trajkovic S,Kolakovic S.Evaluation of Reference Evapotranspiration Equations Under Humid Conditions[J].Water Resources Management,2009,23(14):3057-3067.
[15]Gao Y,Long D,Li Z L.Estimation of daily actual evapotranspiration from remotely sensed data under complex terrain over the upper Chao river basin in North China[J].International Journal of Remote Sensing,2008,29(11):3295-3315.
[16]Jensen D T,Hargreaves G H,Temesgen B,et al.Computation of ETo under Nonideal Conditions[J].Journal of Irrigation & Drainage Engineering,1997,123(5):394-400.
[17]Liu X,Xu C,Zhong X,et al.Comparison of 16 models for reference crop evapotranspiration against weighing lysimetermeasurement[J].Agricultural Water Management,2017,184:145-155.
[18]王永东,邱永志,许波,等.参考作物蒸散量计算方法在极端干旱区的适用性[J].干旱区研究,2014,31(3):390-396.
[19]谢平,陈晓宏,刘丙军.湛江地区适宜参考作物蒸发蒸腾量计算模型分析[J].农业工程学报,2008,24(5):6-9.
[20]闫浩芳,史海滨,薛铸,等.内蒙古河套灌区ET0不同计算方法的对比研究[J].农业工程学报,2008,24(4):103-106.
[21]冯禹,崔宁博,龚道枝,等.基于极限学习机的参考作物蒸散量预测模型[J].农业工程学报,2015,31(增刊):153-160.
[22]孙庆宇,佟玲,张宝忠,等.参考作物蒸发蒸腾量计算方法在海河流域的适用性[J].农业工程学报,2010,26(11):68-72.
[23]李晨,崔宁博,冯禹,等.四川省不同区域参考作物蒸散量计算方法的适用性评价[J].农业工程学报,2016,32(4):127-134.
[24]徐冰,汤鹏程,郭克贞,等.西藏高寒牧区不同ET0计算方法适用性[J].灌溉排水学报,2014,33(6):127-130.
[25]王晓晨,朱忠礼,季辰,等.几种蒸散计算方法在怀来地区的适用性研究[J].气象,2016,42(11):1395-1401.
[26]Jin H,Zhong F W,Sheng X G.Simulation of water dynamics of farmland in the piedmont plain of the Taihang Mountains in the North China Plain[J].Procedia Engineering,2011,12(1):66-73.
[27]刘莹,陈报章,陈婧,等.千烟洲森林生态系统蒸散发模拟模型的适用性[J].植物学报,2016,51(2):226-234.
[28]符娜,宋孝玉,夏露,等.云南省不同生态水文分区参考作物蒸散量算法适用性评价[J].农业机械学报,2017,48(5):208-217.
[2]周广胜.气候变化对中国农业生产影响研究展望[J].气象与环境科学,2015,38(1):80-94.
[3]马珺玢,杨崧,王子谦.中南半岛春季土壤湿度异常对亚洲热带夏季风建立和发展的影响 [J].气象与环境科学,2018,41(1):19-30.
[4]薛昌颖.基于作物模型的河南省旱稻干旱风险评估[J].气象与环境科学,2016,39(2):126-131.
[5]汤鹏程,何蒙,苗澍,等.不同ET0计算方法在内蒙古东部地区适用性比较[J].干旱地区农业研究,2016,34(1):38-42.
[6]贾悦,崔宁博,魏新平,等.基于反距离权重法的长江流域参考作物蒸散量算法适用性评价[J].农业工程学报,2016,32(6):130-138.
[7]刘晓英,李玉中,王庆锁.几种基于温度的参考作物蒸散量计算方法的评价[J].农业工程学报,2006,22(6):12-18.
[8]吴东,何奇瑾,潘志华,等.东北春玉米不同生育阶段日蒸散发模型的适用性研究[J].中国农业大学学报,2017,22(8):18-29.
[9]李玉霖,崔建垣,张铜会.参考作物蒸散量计算方法的比较研究[J].中国沙漠,2002,22(4):372-376.
[10]杜尧东,刘作新,张运福.参考作物蒸散计算方法及其评价[J].河南农业大学学报,2001,35(1):57-61.
[11]Balaji N,Raghavan S.Determination of regional scale evapotranspiration of Texas from NOAA-AV HRR satellite[M].Texas:Texas Water Resources Institute Report,2002.
[12]Hargreaves G H,Samani Z A.Reference crop evapotranspiration from ambient air temperature[J].American society of Agricultural Engineer,1985,1(2):85-97.
[13]Hargreaves G H,Allen R G.History and evaluation of Hargreaves evapotranspiration equation.J Irrig Drain EngASCE[J].Journal of Irrigation & Drainage Engineering,2003,129(1):53-63.
[14]Trajkovic S,Kolakovic S.Evaluation of Reference Evapotranspiration Equations Under Humid Conditions[J].Water Resources Management,2009,23(14):3057-3067.
[15]Gao Y,Long D,Li Z L.Estimation of daily actual evapotranspiration from remotely sensed data under complex terrain over the upper Chao river basin in North China[J].International Journal of Remote Sensing,2008,29(11):3295-3315.
[16]Jensen D T,Hargreaves G H,Temesgen B,et al.Computation of ETo under Nonideal Conditions[J].Journal of Irrigation & Drainage Engineering,1997,123(5):394-400.
[17]Liu X,Xu C,Zhong X,et al.Comparison of 16 models for reference crop evapotranspiration against weighing lysimetermeasurement[J].Agricultural Water Management,2017,184:145-155.
[18]王永东,邱永志,许波,等.参考作物蒸散量计算方法在极端干旱区的适用性[J].干旱区研究,2014,31(3):390-396.
[19]谢平,陈晓宏,刘丙军.湛江地区适宜参考作物蒸发蒸腾量计算模型分析[J].农业工程学报,2008,24(5):6-9.
[20]闫浩芳,史海滨,薛铸,等.内蒙古河套灌区ET0不同计算方法的对比研究[J].农业工程学报,2008,24(4):103-106.
[21]冯禹,崔宁博,龚道枝,等.基于极限学习机的参考作物蒸散量预测模型[J].农业工程学报,2015,31(增刊):153-160.
[22]孙庆宇,佟玲,张宝忠,等.参考作物蒸发蒸腾量计算方法在海河流域的适用性[J].农业工程学报,2010,26(11):68-72.
[23]李晨,崔宁博,冯禹,等.四川省不同区域参考作物蒸散量计算方法的适用性评价[J].农业工程学报,2016,32(4):127-134.
[24]徐冰,汤鹏程,郭克贞,等.西藏高寒牧区不同ET0计算方法适用性[J].灌溉排水学报,2014,33(6):127-130.
[25]王晓晨,朱忠礼,季辰,等.几种蒸散计算方法在怀来地区的适用性研究[J].气象,2016,42(11):1395-1401.
[26]Jin H,Zhong F W,Sheng X G.Simulation of water dynamics of farmland in the piedmont plain of the Taihang Mountains in the North China Plain[J].Procedia Engineering,2011,12(1):66-73.
[27]刘莹,陈报章,陈婧,等.千烟洲森林生态系统蒸散发模拟模型的适用性[J].植物学报,2016,51(2):226-234.
[28]符娜,宋孝玉,夏露,等.云南省不同生态水文分区参考作物蒸散量算法适用性评价[J].农业机械学报,2017,48(5):208-217.