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DISTRIBUTION OF HYDROLOGICAL LOSSES FOR VARYING RAINFALL AND ANTECEDENT WETNESS CONDITIONS

机译:降雨变化和水温条件变化的水文损失分布

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Hydrological loss is a vital component in many hydrological models, which are used in forecasting floods and evaluating water resources for both surface and subsurface flows. Due to the complex and random nature of the rainfall runoff process, hydrological losses are not yet fully understood. Consequently, practitioners often use representative values of the losses for design applications such as rainfall-runoff modelling which has led to inaccurate quantification of water quantities in the resulting applications. Therefore, the existing hydrological loss models must be revisited. This study is based on three unregulated catchments situated in Mt. Lofty Ranges of South Australia (SA). The paper focuses on analysing initial loss (IL), continuing loss (CL) and proportional loss (PL) with rainfall and antecedent wetness conditions. The paper introduces IL_TR_AW nomogram that can be implemented to estimate IL as a function of TR and AW, using statistical approach. This study will yield improvements to existing loss models and will encourage practitioners to utilise multiple data sets to estimate losses, instead of using hypothetical or representative values to generalise real situations.
机译:水文损失是许多水文模型的重要组成部分,这些模型用于预测洪水和评估地表和地下流量的水资源。由于降雨径流过程的复杂性和随机性,因此尚未完全了解水文损失。因此,从业人员经常将损失的代表值用于设计应用程序,例如降雨径流建模,这导致了最终应用程序中水量的量化不准确。因此,必须重新考虑现有的水文损失模型。这项研究基于位于山顶的三个不受管制的集水区。南澳大利亚(SA)的崇高山脉。本文着重分析降雨和前期湿润条件下的初始损失(IL),持续损失(CL)和比例损失(PL)。本文介绍了IL_TR_AW诺模图,可以使用统计方法实现IL_TR_AW诺模图,以根据TR和AW估算IL。这项研究将改进现有的损失模型,并鼓励从业人员利用多个数据集来估计损失,而不是使用假设或代表性的值来概括实际情况。

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