globalchange  > 气候变化与战略
CSCD记录号: CSCD:5667657
论文题名:
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
其他题名: Applicability evaluation of different algorithms for reference crop evapotranspiration in Yangtze River Basin based on inverse distance weighted method
作者: 贾悦1; 崔宁博2; 魏新平1; 龚道枝3; 胡笑涛4
刊名: 农业工程学报
ISSN: 1002-6819
出版年: 2016
卷: 32, 期:6, 页码:228-233
语种: 中文
中文关键词: 气候变化 ; 蒸散 ; 模型 ; 长江流域 ; 参考作物蒸散量 ; 反距离权重 ; 空间展布 ; 适用性评价
英文关键词: climate change ; evapotranspiration ; models ; the Yangtze River Basin ; reference crop evapotranspiration ; inverse distance weighted interpolation method ; space distribution ; applicability evaluation
WOS学科分类: AGRICULTURE MULTIDISCIPLINARY
WOS研究方向: Agriculture
中文摘要: 为实现大区域尺度参考作物蒸散量(reference crop evapotranspiration,ET_0)资料缺失情况下的准确计算,该文将长江流域划分为上、中、下游3个子区域,基于反距离权重法的新型空间展布方法得到3个虚拟站点分别代表每个子区域,利用长江流域102个站点1964-2013年近50a的逐日气象数据,根据FAO-56 Penman-Monteith(P-M)法、Hargreaves-Samani(H-S)法、Irmark-Allen(I-A)法、Priestley-Taylor(P-T)法、Makkink(M-K)法、Penman-Van Bavel(PVB)法、1948年Penman(48-PM)法分别计算每个站点逐日ET_0,并以P-M法为标准,利用Nash-Sutcliffe系数(C_D)、逐日相对均方根误差(RMSE)、Kendall一致性系数(K)对其适用性进行评价,结果表明:在3个子区域6种ET_0计算方法的日值与P-M法拟合方程确定系数R~2均通过了极显著水平检验(alpha=0.01),长江上游P-T法ET_0日值计算精度最高(ET_0日值拟合方程斜率为1.030,RMSE=0.341 mm/d,C_D=0.886,K=0.829),H-S法、I-A计算精度较低(ET_0日值拟合方程斜率分别为1.427、1.308,RMSE=0.909、0.829 mm/d,C_D=0.581、0.523,K=0.792、0.742),长江中、下游PVB法计算精度最高,P-T法计算精度次之,H-S法与I-A法计算精度较低;长江上游6种算法ET_0月值的计算精度由高到低依次为P-T法、PVB法、M-K法、48-PM法、H-S法、I-A法,与P-M法的平均误差分别为0.27、0.35、0.51、0.48、0.74、0.78 mm/d;长江中、下游6种算法计算精度由高到低为PVB法、P-T法、M-K法、48-PM法、H-S法、I-A法;整个长江流域P-T法、PVB法与P-M法ET_0计算结果相对误差均在35%以下,H-S法、I-A法计算精度较低,其相对误差基本高于40%;因此,PVB法与P-T法在整个长江流域的计算精度较高,可作为长江流域ET_0简化计算推荐方法。
英文摘要: In order to making true the exact calculation of reference crop evapotranspiration(ET_0) and increase the accuracy with the lack of meteorological data in the large area, the Yangtze River Basin is divided into upstream, midstream and downstream according to the altitude of the stations. A new method of space distribution based on Inverse Distance Weighted Interpolation method is raised which can present every substream, including upstream, midstream and downstream. This method can include the connection of different stations. There are 102 meteorological stations which can provide 50 years of daily meteorological data from 1963 to 2013. In this research, we used the methods of Penman-Monteith(P-M), Hargreaves-Samani(H-S), Irmark-ALLEN(I-A), Pristley-Taylor(P-T), Makkink(M-K), Penman-Van Bavel(PVB), 1948 Penman(48-PM) to calculate daily ET_0 of every stations of the Yangtze River Basin. The method of Penman-Monteith can be used to be the standard method to calculate standard daily ET_0 to evaluate other methods because of its accuracy. The coefficient of Nash-Sutcliffe, the daily relative root mean square error, the consistency coefficient of Kendall can be used to evaluate the precision index of the method. The result showed that the best method of daily ET_0 imitative effect compared with P-M is PVB in the three substreams, because the slope of the imitative equation of PVB in upstream is 0.946, the slope in midstream is 1.065, and the slope in downstream is 1.005. The method of Pristley-Taylor has a better effect in the midstream and downstream, and the slopes of the imitative equation are 1.030 and 1.201. The method of Makkink also has a good effect in the midstream and downstream, and the slopes are 0.857 and 0.936. The determination coefficient of daily ET_0 imitative equation of these six methods all achieved very significant levels(alpha=0.01) in three substreams. The methods of Pristley-Taylor and Penman-Van Bavel have high calculation accuracy in all area of the Yangtze River Basin, and the highest absolute error of monthly ET_0 is 0.55 mm/d using the method of Pristley-Taylor, at the same time the highest absolute error of monthly ET_0 is 0.48 mm/d using the method of Penman-Van Bavel. The effect of the methods of Hargreaves-Samani and Irmark-ALLEN are worse than other methods to calculate monthly ET_0 in the whole Yangtze River Basin. The method of Pristley-Taylor is the best method to calculate ET_0 in the upstream of the Yangtze River Basin, because the daily relative root mean square error is 0.341 mm/d, the coefficient of Nash-Sutcliffe is 0.886, and the consistency coefficient of Kendall is 0.829. The method of Penman-Van Bavel is the best method to calculate ET_0 in the midstream and downstream of the Yangtze River Basin. In the midstream, the daily relative root mean square error is 0.201 mm/d, the coefficient of Nash-Sutcliffe is 0.973, and the coefficient of Nash-Sutcliffe is 0.926. In the downstream, the daily relative root mean square error is 0.306 mm/d, the coefficient of Nash-Sutcliffe is 0.954, and the consistency coefficient of Kendall is 0.869. In the Yangtze River Basin, the relative error of Pristley-Taylor and Penman-Van Bavel are the lowest among these methods which are less than 35%, the relative error of is the highest among these methods which is more than 40%. In conclusion, the method of Pristley-Taylor and Penman-Van Bavel are the best methods to calculate ET_0 in the Yangtze River Basin, the calculation process are simple at the same time. The method of Pristley-Taylor and Penman-Van Bavel can be a simplified recommendation of calculating ET_0 in the Yangtze River Basin.
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/151131
Appears in Collections:气候变化与战略

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作者单位: 1.四川大学水利水电学院, 水力学与山区河流开发保护国家重点实验室, 成都, 四川 610065, 中国
2.四川大学水利水电学院, 水力学与山区河流开发保护国家重点实验室
3.南方丘区节水农业研究四川省重点实验室, 成都, 四川 610065, 中国
4.中国农业科学院农业环境与可持续发展研究所, 作物高效用水与抗灾减损国家工程实验室, 北京 100081, 中国
5.西北农林科技大学, 旱区农业水土工程教育部重点实验室, 杨凌, 712100

Recommended Citation:
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,2016-01-01,32(6):228-233
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