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Comparing Methods for Computing the Time of Concentration in a Medium-Sized Hungarian Catchment

机译:计算匈牙利中型流域集中时间的比较方法

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One of the most often-used parameters that describes morphology and runoff from a watershed is the time of concentration (Tc). At gauged watersheds, Tc can be determined using rainfall and a runoff hydrograph, while for ungauged watersheds, empirical equations are used. A good initial estimate of Tc greatly improves the accuracy of runoff predictions. In our study, we applied 14 empirical equations to determine Tc. Tarján Creek, which is located in northeastern Hungary, was selected as the trial gauged watershed. It is located in a mountainous region with an area of 72 km2. The input parameters for the empirical equations were determined using geoinformatical tools. To evaluate the accuracy of the empirical equations, HEC-HMS was used to model the runoff. Using the measured runoff data, both continuous and event-based models were calibrated. For direct runoff, Clark’s unit hydrograph was selected. Tc is one of the input parameters for this model. After the calibration, the estimates from the empirical equations for Tc were compared to the HEC-HMS calibrated values for each subwatershed. The empirical estimates varied greatly. The Wisnovszky-equation, which is most often used in Hungary, underestimated Tc.
机译:描述流域形态和径流的最常用参数之一是浓缩时间(Tc)。在测量集水区,可使用降雨和径流水位图确定Tc,而对于未注水集水区,可使用经验方程式。良好的Tc初始估计可以大大提高径流预测的准确性。在我们的研究中,我们应用了14个经验方程来确定Tc。位于匈牙利东北部的塔尔扬河(TarjánCreek)被选为试测分水岭。它位于一个面积为72平方公里的山区。经验公式的输入参数是使用地理信息工具确定的。为了评估经验方程的准确性,使用HEC-HMS对径流进行建模。使用测得的径流数据,对连续模型和基于事件的模型都进行了校准。为了直接径流,选择了克拉克的单位水位图。 Tc是此模型的输入参数之一。校准后,将Tc经验公式的估计值与每个子流域的HEC-HMS校准值进行比较。实证估计差异很大。在匈牙利最常使用的Wisnovszky方程低估了Tc。

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