DOI: 10.5194/hess-20-4963-2016
Scopus记录号: 2-s2.0-85006341224
论文题名: Estimating catchment-scale groundwater dynamics from recession analysis – Enhanced constraining of hydrological models
作者: Skaugen T ; , Mengistu Z
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2016
卷: 20, 期: 12 起始页码: 4963
结束页码: 4981
语种: 英语
Scopus关键词: Catchments
; Digital storage
; Dynamics
; Efficiency
; Groundwater
; Mean square error
; Model structures
; Catchment characteristics
; Distance distributions
; Groundwater dynamics
; Predictions in ungauged basins
; Rainfall-runoff models
; Recession characteristics
; Root mean square errors
; Temporal distribution
; Runoff
; basin
; calibration
; catchment
; groundwater
; hydrodynamics
; hydrological modeling
; runoff
; subsurface flow
; temporal distribution
; water storage
; Norway
英文摘要: In this study, we propose a new formulation of subsurface water storage dynamics for use in rainfall-runoff models. Under the assumption of a strong relationship between storage and runoff, the temporal distribution of catchment-scale storage is considered to have the same shape as the distribution of observed recessions (measured as the difference between the log of runoff values). The mean subsurface storage is estimated as the storage at steady state, where moisture input equals the mean annual runoff. An important contribution of the new formulation is that its parameters are derived directly from observed recession data and the mean annual runoff. The parameters are hence estimated prior to model calibration against runoff. The new storage routine is implemented in the parameter parsimonious distance distribution dynamics (DDD) model and has been tested for 73 catchments in Norway of varying size, mean elevation and landscape type. Runoff simulations for the 73 catchments from two model structures (DDD with calibrated subsurface storage and DDD with the new estimated subsurface storage) were compared. Little loss in precision of runoff simulations was found using the new estimated storage routine. For the 73 catchments, an average of the Nash–Sutcliffe efficiency criterion of 0.73 was obtained using the new estimated storage routine compared with 0.75 using calibrated storage routine. The average Kling–Gupta efficiency criterion was 0.80 and 0.81 for the new and old storage routine, respectively. Runoff recessions are more realistically modelled using the new approach since the root mean square error between the mean of observed and simulated recession characteristics was reduced by almost 50% using the new storage routine. The parameters of the proposed storage routine are found to be significantly correlated to catchment characteristics, which is potentially useful for predictions in ungauged basins. © 2016 The Author(s). Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78665
Appears in Collections: 气候变化事实与影响
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作者单位: Dept. of Hydrology, Norwegian Water Resources and Energy Dir., Oslo, Norway
Recommended Citation:
Skaugen T,, Mengistu Z. Estimating catchment-scale groundwater dynamics from recession analysis – Enhanced constraining of hydrological models[J]. Hydrology and Earth System Sciences,2016-01-01,20(12)