A general geomorphological recession flow model for river basins

被引:26
作者
Biswal, Basudev [1 ,2 ]
Kumar, D. Nagesh [1 ]
机构
[1] Indian Inst Sci, Dept Civil Engn, Bangalore 560012, Karnataka, India
[2] Indian Inst Technol Hyderabad, Dept Civil Engn, Hyderabad 502205, Andhra Pradesh, India
关键词
power law; active drainage network; geomorphological recession flow model; Horton-Strahler tree network; fractal dimension; subsurface storage distribution; STREAM; GROUNDWATER; DISCHARGE; NETWORKS; WATER; LAW; STORAGE;
D O I
10.1002/wrcr.20379
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Recession flows in a basin are controlled by the temporal evolution of its active drainage network (ADN). The geomorphological recession flow model (GRFM) assumes that both the rate of flow generation per unit ADN length (q) and the speed at which ADN heads move downstream (c) remain constant during a recession event. Thereby, it connects the power law exponent of -dQ/dt versus Q (discharge at the outlet at time t) curve, , with the structure of the drainage network, a fixed entity. In this study, we first reformulate the GRFM for Horton-Strahler networks and show that the geomorphic ((g)) is equal to D/(D-1), where D is the fractal dimension of the drainage network. We then propose a more general recession flow model by expressing both q and c as functions of Horton-Strahler stream order. We show that it is possible to have = (g) for a recession event even when q and c do not remain constant. The modified GRFM suggests that is controlled by the spatial distribution of subsurface storage within the basin. By analyzing streamflow data from 39 U.S. Geological Survey basins, we show that is having a power law relationship with recession curve peak, which indicates that the spatial distribution of subsurface storage varies across recession events. Key Points <list list-type="bulleted"> The GRFM is reformulated for Horton-Strahler networks. The GRFM is modified by allowing its parameters to vary along streams. Sub-surface storage distribution controls recession flow characteristics.
引用
收藏
页码:4900 / 4906
页数:7
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