Assessment of the internal dynamics of the Australian Water Balance Model under different calibration regimes

被引:14
|
作者
Li, Li [1 ]
Lambert, Martin F. [1 ]
Maier, Holger R. [1 ]
Partington, Daniel [2 ,3 ]
Simmons, Craig T. [2 ,3 ]
机构
[1] Univ Adelaide, Sch Civil Environm & Min Engn, Adelaide, SA 5005, Australia
[2] Flinders Univ S Australia, Natl Ctr Groundwater Res & Training, Adelaide, SA 5001, Australia
[3] Flinders Univ S Australia, Sch Environm, Adelaide, SA 5001, Australia
关键词
Australian Water Balance Model; Calibration; Baseflow; Regression models; HydroGeoSphere; Virtual laboratory; Integrated surface water/groundwater model; RAINFALL-RUNOFF MODELS; RECURSIVE DIGITAL-FILTERS; BASEFLOW SEPARATION; GLOBAL OPTIMIZATION; PARAMETER-ESTIMATION; NEURAL-NETWORKS; FLOW; RIVER; CATCHMENT; SYSTEM;
D O I
10.1016/j.envsoft.2014.12.015
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Conceptual rainfall runoff models are used extensively in practice, as they provide a good balance between transparency and computational and data requirements. However, the degree to which they are able to represent underlying physical processes is poorly understood. This is because the performance of such models is generally assessed based on their ability to match total streamflow, rather than component processes. In this paper, the ability of the Australian Water Balance Model (AWBM) to represent baseflow and quickflow is assessed for 66 synthetic catchments with different physical characteristics and hydrological inputs under seven calibration regimes utilising a shuffled complex evolution (SCE) algorithm. The "observed" total-, base- and quick-flow hydrographs for these catchments are generated using HydroGeoSphere. The results indicate that while AWBM is generally able to match total streamflow well, the same does not apply to baseflow and quickflow, suggesting that these processes are not represented well by AWBM. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:57 / 68
页数:12
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