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Annual actual evapotranspiration in inland river catchments of China based on the Budyko framework

机译:基于Budyko框架的中国内河流域年实际蒸散量。

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摘要

By investigating long time series of climate and discharge data set were collected from 68 inland river catchments in China, we analyzed the spatial and temporal variations of the annual actual evapotranspiration (AE, mm/year) using the Budyko hypothesis. A simple parameterization estimated parameter model (SMR Model, parameter for the Fu's equation, one form of the Budyko hypothesis), was proposed using a dataset of 68 catchment independently and combined based on the landscape characteristics [Relative soil water storage , catchment areas (A) and average slope (tan beta)], this model explains 58.3 % of observed variance (the optimized ) with the root-mean-square error of 0.24. The Budyko hypothesis with estimated parameter reproduced observed mean annual AE well for the combined 68 catchments. The estimated mean annual AE for 68 catchments showed remarkable agreement with that derived from the long-term water balance with the determining coefficient of R (2) = 0.918. This implies that Budyko hypothesis can be used for estimating AE accurately in inland river catchments, and it is especially useful for estimates in ungauged catchments.
机译:通过调查来自中国68个内陆河流集水区的长期气候和流量数据集,我们使用Budyko假设分析了年度实际蒸散量(AE,mm /年)的时空变化。提出了一个简单的参数化估计参数模型(SMR模型,傅氏方程的参数,Budyko假设的一种形式),该模型使用了68个流域的数据集,并根据景观特征进行了组合[土壤相对储水量,流域面积(A )和平均斜率(tan beta)],该模型可解释58.3%的观测方差(优化后的值),均方根误差为0.24。带有估计参数的Budyko假设重现了68个集水区的平均年AE值。 68个流域的估计年平均AE与由长期水平衡得出的确定的R(2)= 0.918显着一致。这意味着Budyko假设可用于准确估算内河集水区的AE,它对于未捕获集水区的估算特别有用。

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