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DOI	10.5194/hess-23-3175-2019
	Technical note: Stochastic simulation of streamflow time series using phase randomization
	Brunner M.I.; Bardossy A.; Furrer R.
发表日期	2019
ISSN	1027-5606
起始页码	3175
结束页码	3187
卷号	23 期号:8
英文摘要	Stochastically generated streamflow time series are widely used in water resource planning and management. Such series represent sets of plausible yet unobserved streamflow realizations which should reproduce the main characteristics of observed data. These characteristics include the distribution of daily streamflow values and their temporal correlation as expressed by short- and long-range dependence. Existing streamflow generation approaches have mainly focused on the time domain, even though simulation in the frequency domain provides good properties. These properties comprise the simulation of both short- and long-range dependence as well as extension to multiple sites. Simulation in the frequency domain is based on the randomization of the phases of the Fourier transformation. We here combine phase randomization simulation with a flexible, four-parameter kappa distribution, which allows for the extrapolation to as yet unobserved low and high flows. The simulation approach consists of seven steps: (1) fitting the theoretical kappa distribution, (2) normalization and deseasonalization of the marginal distribution, (3) Fourier transformation, (4) random phase generation, (5) inverse Fourier transformation, (6) back transformation, and (7) simulation. The simulation approach is applicable to both individual and multiple sites. It was applied to and validated on a set of four catchments in Switzerland. Our results show that the stochastic streamflow generator based on phase randomization produces realistic streamflow time series with respect to distributional properties and temporal correlation. However, cross-correlation among sites was in some cases found to be underestimated. The approach can be recommended as a flexible tool for various applications such as the dimensioning of reservoirs or the assessment of drought persistence. Highlights. Stochastic simulation of streamflow time series for individual and multiple sites by combining phase randomization and the kappa distribution. Simulated time series reproduce temporal correlation, seasonal distributions, and extremes of observed time series. Simulation procedure suitable for use in water resource planning and management. © Author(s) 2019.
语种	英语
scopus关键词	Catchments; Frequency domain analysis; Random processes; Reservoirs (water); Resource allocation; Stochastic models; Stochastic systems; Stream flow; Time series; Water resources; Distributional property; Fourier transformations; Long range dependence; Seasonal distributions; Simulation procedures; Stochastic simulations; Streamflow generations; Water resource planning; Fourier transforms; numerical method; stochasticity; streamflow; theoretical study; time series analysis; water management; water resource
来源期刊	Hydrology and Earth System Sciences
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/159635
作者单位	Brunner, M.I., Mountain Hydrology and Mass Movements, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, ZH, Switzerland; Bardossy, A., Institute for Modelling Hydraulic and Environmental Systems, University of Stuttgart, Stuttgart, Germany; Furrer, R., Institute of Mathematics, University of Zurich, Zurich, Switzerland
推荐引用方式 GB/T 7714	Brunner M.I.,Bardossy A.,Furrer R.. Technical note: Stochastic simulation of streamflow time series using phase randomization[J],2019,23(8).
APA	Brunner M.I.,Bardossy A.,&Furrer R..(2019).Technical note: Stochastic simulation of streamflow time series using phase randomization.Hydrology and Earth System Sciences,23(8).
MLA	Brunner M.I.,et al."Technical note: Stochastic simulation of streamflow time series using phase randomization".Hydrology and Earth System Sciences 23.8(2019).