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Improving calibration of two key parameters in Hydrologic Engineering Center hydrologic modelling system, and analysing the influence of initial loss on flood peak flows

机译:改进水文工程中心水文建模系统中两个关键参数的标定,并分析初始损失对洪峰流量的影响

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摘要

Parameter calibration is a key and difficult issue for a hydrological model. Taking the Jinjiang Xixi watershed of south-east China as the study area, we proposed methods to improve the calibration of two very sensitive parameters, Muskingum K and initial loss, in the Hydrologic Engineering Center hydrologic modelling system (HEC-HMS) model. Twenty-three rainstorm flood events occurring from 1972 to 1977 were used to calibrate the model using a trial-and-error approach, and a relationship between initial loss and initial discharge for these flood events was established; seven rainstorm events occurring from 1978 to 1979 were used to validate the two parameters. The influence of initial loss change on different return-period floods was evaluated. A fixed Muskingum K value, which was calibrated by assuming a flow wave velocity at 3 m/s, could be used to simulate a flood hydrograph, and the empirical power-function relationship between initial loss and initial discharge made the model more applicable for flood forecasting. The influence of initial loss on peak floods was significant but not identical for different flood levels, and the change rate of peak floods caused by the same initial loss change was more remarkable when the return period increased.
机译:参数校准是水文模型的关键和困难问题。以中国东南部晋江西溪流域为研究区域,提出了改善水文工程中心水文建模系统(HEC-HMS)两个非常敏感参数Muskingum K和初始损失的标定方法。利用试错法,对1972年至1977年发生的23次暴雨洪水事件进行了标定,建立了这些洪水事件的初始损失与初始排放之间的关系。利用1978年至1979年发生的7次暴雨事件来验证这两个参数。评估了初始损失变化对不同回水期洪水的影响。固定的Muskingum K值可以通过假设流速为3 m / s来校准,可以用来模拟洪水水文图,初始损失与初始流量之间的经验幂函数关系使该模型更适用于洪水预测。初始损失对洪峰洪水的影响是显着的,但对于不同的洪水水位,其影响并不相同,并且当恢复期增加时,由相同的初始损失变化引起的洪峰变化率更加明显。

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