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Runoff modelling of rural catchments in Turkey

机译:土耳其农村集水区的径流模型

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In this study, the conceptual analysis and synthesis of hydrographs (CASH) model was used to analyse rainfall and runoff data from the Kocadere rural catchment. Initial default parameters were changed to optimize the model results. The root mean square error (RMSE, %) between observed and calculated runoff was compared to the model's sample test data. The RMSE of the model run (58·2%) was larger than the test data RMSE (6·6%) indicating that, although the fit was reasonable, the RMSE-criterion underestimated the quality of the simulation. This result may be due to the fact that small shifts in the timing cause large differences between observed and predicted runoff. However, the overall fit was good.
机译:在这项研究中,水位图模型的概念分析和综合(CASH)被用于分析科卡德雷农村流域的降雨和径流数据。更改了初始默认参数以优化模型结果。将观测到的和计算出的径流之间的均方根误差(RMSE,%)与模型的样品测试数据进行比较。模型运行的RMSE(58·2%)大于测试数据RMSE(6·6%),这表明尽管拟合合理,但RMSE准则低估了模拟的质量。该结果可能是由于时间的微小变化导致观测到的径流与预测的径流之间存在较大差异这一事实。但是,整体合身性很好。

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