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首页> 外文期刊>Journal of Hydrology >GA-PIC: An improved Green-Ampt rainfall-runoff model with a physically based infiltration distribution curve for semi-arid basins
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GA-PIC: An improved Green-Ampt rainfall-runoff model with a physically based infiltration distribution curve for semi-arid basins

机译:GA-PIC:一种改进的绿色AMPT降雨 - 径流模型,具有半干旱盆地的物理渗透分布曲线

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摘要

Modeling rainfall-runoff processes in semi-arid regions remains challenging due to the heterogeneity of rainfall, soil type and topography. The goal of this study is to develop an improved rainfall-runoff model for flood forecast for semi-arid regions. A physically based infiltration distribution curve is developed and added to the Green-Amps based rainfall-runoff (GA-PIC) model. Validation tests for two semi-arid basins suggest that the GAPIC model has lower forecast errors of runoff depth and peak flow than the traditional Green-Amps model as the physically based infiltration distribution curve effectively captures the impacts of spatiotemporal variability of rainfall and land surface conditions on runoff generation. A higher density of rainfall stations and a smaller computational time step lead to improved flood forecasting accuracies for semi-arid basins.
机译:由于降雨,土壤类型和地形的异质性,半干旱地区的降雨径流过程造型仍然具有挑战性。 本研究的目标是为半干旱地区的洪水预报制定改进的降雨模型。 形成了物理上的渗透分布曲线并加入到基于绿色AMPS的降雨 - 径流(GA-PIC)模型中。 两个半干燥盆地的验证测试表明,由于物理基础的渗透分布曲线有效地捕获了降雨量和陆地条件的空间变异性的影响,差距模型的预测误差和峰值流量比传统的绿色AMPS模型更低。 关于径流生成。 更高密度的降雨站和较小的计算时间步长导致半干旱盆地的洪水预测精度提高。

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