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Analyzing spatial and temporal variability of annual water-energy balance in nonhumid regions of China using the Budyko hypothesis

机译:利用Budyko假设分析中国非湿润地区年水能平衡的时空变化

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On the basis of long time series of climate and discharge in 108 nonhumid catchments in China this study analyzes the spatial and temporal variability of annual water-energy balance using the Budyko hypothesis. For both long-term means and annual values of the water balances in the 108 catchments, Fu's formula derived from the Budyko hypothesis is confirmed. A high correlation and relatively small systematic error between the values of parameter ω in Fu's equation optimized from the water balance of individual year and calibrated from the long-term mean water balance show that Fu's equation can be used for predicting the interannual variability of regional water balances. It has been found that besides the annual climate conditions the regional pattern of annual water-energy balance is also closely correlated with the relative infiltration capacity (K_s/i_r), relative soil water storage (S_(max)/E_0), and the average slope (tan β). This enables one to estimate the parameter ω from catchment characteristics without calibration from the long time series of water balances. An empirical formula for the parameter ω in terms of the dimensionless landscape parameters is proposed. Applications of Fu's equation together with the parameter ω estimated by this empirical formula have shown that Fu's equation can predict both long-term mean and annual value of actual evapotranspiration accurately and predict both long-term mean and interannual variability of runoff reasonably. This implies that the Fu's equation can be used for predicting the annual water balance in ungauged basins.
机译:基于中国108个非湿润流域的长期气候和排放量序列,本研究使用Budyko假设分析了年度水能平衡的时空变化。对于108个流域的水平衡的长期平均值和年均值,从Budyko假设得出的Fu公式得到了确认。从一年的水量平衡优化并通过长期平均水量平衡进行校准的Fu's方程中的参数ω值之间的相关性高且系统误差较小,这表明Fu's方程可用于预测区域水的年际变化余额。已经发现,除了年度气候条件外,年度水能平衡的区域格局还与相对入渗能力(K_s / i_r),相对土壤储水量(S_(max)/ E_0)和平均值密切相关。斜率(tanβ)。这样一来,人们就可以根据集水特征来估算参数ω,而无需根据长时间的水平衡序列进行校准。提出了基于无量纲景观参数的参数ω的经验公式。将Fu方程与该经验公式估算的参数ω一起应用表明,Fu方程可以准确地预测实际蒸散量的长期平均值和年值,并且可以合理地预测径流的长期平均值和年际变化。这意味着傅氏方程可用于预测未开垦盆地的年水平衡。

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