Spatial combination model for semi-humid and semi-arid watersheds

被引:0
|
作者
Liu Y. [1 ]
Li Z. [1 ,2 ]
Liu Z. [1 ,3 ]
Huang P. [4 ]
机构
[1] College of Hydrology and Water Resources, Hohai University, Nanjing
[2] National Cooperative Innovation Center for Water Safety & Hydro-Science of Hohai University, Nanjing
[3] Bureau of Hydrology, Ministry of Water Resources of China, Beijing
[4] School of Hydrology and Water Resources, Nanjing University of Information Science & Technology, Nanjing
来源
Hupo Kexue/Journal of Lake Sciences | 2020年 / 32卷 / 03期
关键词
Rainfall-runoff model; Semi-humid and semi-arid watersheds; Spatial combination model; Sub-watershed classification;
D O I
10.18307/2020.0322
中图分类号
学科分类号
摘要
Due to the spatial topographic heterogeneity in semi-humid and semi-arid regions, hydrological simulation is always a difficult problem as saturation-excess runoff and infiltration-excess runoff is coexisting during a storm. Most existing hydrological models cannot be customized to simulate flood processes of different areas because of their fixed structures and modes. This study developed a spatial combination model (SCMs) by combining the Xin'anjiang model (XAJ), Xin'anjiang-Green-Ampt model (XAJG) and Green-Ampt model (GA) for simulating runoff in the sub-watersheds where either saturation-excess or infiltration-excess runoff mechanism dominates. Curve number-topographic index method was used for dividing a watershed into infiltration-excess dominated and saturation-excess dominated sub-watersheds. The proposed models were tested for two selected watersheds: Dongwan watershed in semi-humid area and Zhidan watershed in semi-arid area. The results showed that the parameters of the Dongwan watershed are dominated by hydrological models, while the parameters of the Zhidan watershed are greatly influenced by the dominant runoff mechanism. The simulation results of the partial saturation-excess models are better than those of partial infiltration-excess models in Dongwan watershed. SCM2 model (combination model of XAJ and XAJG) simulated has the best performance (runoff depth error Re =75% and flood peak error Qe =75%), just as the SCM5 model (combination model of GA and XAJG) in Zhidan watershed (Re =53.3% and Qe =53.3%). In semi-arid and semi-humid watersheds, driven by topography and soil data, the SCMs have a more realistic model structure and parameterization with higher simulation accuracy and stability. © 2020 by Journal of Lake Sciences.
引用
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页码:826 / 839
页数:13
相关论文
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