DOI: 10.5194/hess-22-1263-2018
Scopus记录号: 2-s2.0-85042264970
论文题名: A coupled stochastic rainfall-evapotranspiration model for hydrological impact analysis
作者: Tu Pham M ; , Vernieuwe H ; , De Baets B ; , Verhoest N ; E ; C
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2018
卷: 22, 期: 2 起始页码: 1263
结束页码: 1283
语种: 英语
Scopus关键词: Evapotranspiration
; Precipitation (meteorology)
; Rain
; Stochastic systems
; Time series
; Evapotranspiration modeling
; Extreme discharges
; Hydrological cycles
; Hydrological impacts
; Hydrological modeling
; Long time series
; Rainfall-runoff modeling
; Stochastic rainfalls
; Stochastic models
; discharge
; evapotranspiration
; flood
; graphical method
; hydrological modeling
; hydrology
; precipitation (climatology)
; rainfall-runoff modeling
; stochasticity
; time series
英文摘要: A hydrological impact analysis concerns the study of the consequences of certain scenarios on one or more variables or fluxes in the hydrological cycle. In such an exercise, discharge is often considered, as floods originating from extremely high discharges often cause damage. Investigating the impact of extreme discharges generally requires long time series of precipitation and evapotranspiration to be used to force a rainfall-runoff model. However, such kinds of data may not be available and one should resort to stochastically generated time series, even though the impact of using such data on the overall discharge, and especially on the extreme discharge events, is not well studied. In this paper, stochastically generated rainfall and corresponding evapotranspiration time series, generated by means of vine copulas, are used to force a simple conceptual hydrological model. The results obtained are comparable to the modelled discharge using observed forcing data. Yet, uncertainties in the modelled discharge increase with an increasing number of stochastically generated time series used. Notwithstanding this finding, it can be concluded that using a coupled stochastic rainfall-evapotranspiration model has great potential for hydrological impact analysis. © Author(s) 2018. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79389
Appears in Collections: 气候变化事实与影响
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作者单位: Laboratory of Hydrology and Water Management, Ghent University, Coupure links 653, Ghent, Belgium; KERMIT, Department of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Coupure links 653, Ghent, Belgium
Recommended Citation:
Tu Pham M,, Vernieuwe H,, De Baets B,et al. A coupled stochastic rainfall-evapotranspiration model for hydrological impact analysis[J]. Hydrology and Earth System Sciences,2018-01-01,22(2)