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首页> 外文期刊>Journal of Hydroinformatics >Hydrological modeling using Effective Rainfall routed by the Muskingum method (ERM)
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Hydrological modeling using Effective Rainfall routed by the Muskingum method (ERM)

机译：使用Muskingum方法（ERM）进行有效降雨的水文模拟

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摘要

This paper introduces a new rainfall runoff model called ERM (Effective Rainfall routed by Muskingum method), which has been developed based on the popular IHACRES model. The IHACRES model consists of two main components to transfer rainfall to effective rainfall and then to streamflow. The second component of the IHACRES model is a linear unit hydrograph which has been replaced by the classic and well-known Muskingum method in the ERM model. With the effective rainfall by the first component of the IHACRES model, the Muskingum method is used to estimate the quick flow and slow flow separately. Two different sets of input data (temperature or evapotranspiration, rainfall and observed streamflow) and genetic algorithm (GA) as an optimization scheme have been selected to compare the performance of IHACRES and ERM models in calibration and validation. By testing the models in three different catchments, it is found that the ERM model has better performance over the IHACRES model across all three catchments in both calibration and validation. Further studies are needed to apply the ERM on a wide range of catchments to find its strengths and weaknesses.
机译：本文介绍了一种新的降雨径流模型，称为ERM（通过Muskingum方法路由的有效降雨），它是在流行的IHACRES模型的基础上开发的。 IHACRES模型由两个主要部分组成，将降雨转换为有效降雨，然后再转换为径流。 IHACRES模型的第二个组成部分是线性单位水位图，它已被ERM模型中的经典和著名的Muskingum方法所取代。在IHACRES模型的第一部分得到有效降雨的情况下，使用Muskingum方法分别估算了快速流量和缓慢流量。选择了两组不同的输入数据（温度或蒸散量，降雨和观测的水流）和遗传算法（GA）作为优化方案，以比较IHACRES和ERM模型在校准和验证中的性能。通过在三个不同流域中测试模型，发现在校准和验证方面，ERM模型在所有三个流域中都具有优于IHACRES模型的性能。需要进一步研究，将ERM应用于广泛的流域，以发现其优势和劣势。

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