globalchange  > 气候变化事实与影响
DOI: 10.5194/hess-21-3093-2017
Scopus记录号: 2-s2.0-85021679845
论文题名:
On the probability distribution of daily streamflow in the United States
作者: Blum A; G; , Archfield S; A; , Vogel R; M
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2017
卷: 21, 期:6
起始页码: 3093
结束页码: 3103
语种: 英语
Scopus关键词: Pareto principle ; Stream flow ; Broad application ; Complex time series ; Flow duration curve ; Hydrologic regime ; Kappa distribution ; Log-normal distribution ; Orders of magnitude ; Physiographic regions ; Probability distributions ; flow measurement ; frequency analysis ; hydrological regime ; probability ; streamflow ; time series analysis ; United States
英文摘要: Daily streamflows are often represented by flow duration curves (FDCs), which illustrate the frequency with which flows are equaled or exceeded. FDCs have had broad applications across both operational and research hydrology for decades; however, modeling FDCs has proven elusive. Daily streamflow is a complex time series with flow values ranging over many orders of magnitude. The identification of a probability distribution that can approximate daily streamflow would improve understanding of the behavior of daily flows and the ability to estimate FDCs at ungaged river locations. Comparisons of modeled and empirical FDCs at nearly 400 unregulated, perennial streams illustrate that the four-parameter kappa distribution provides a very good representation of daily streamflow across the majority of physiographic regions in the conterminous United States (US). Further, for some regions of the US, the three-parameter generalized Pareto and lognormal distributions also provide a good approximation to FDCs. Similar results are found for the period of record FDCs, representing the long-term hydrologic regime at a site, and median annual FDCs, representing the behavior of flows in a typical year. © Author(s) 2017.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79142
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作者单位: Civil and Environmental Engineering, Tufts University, Medford, MA, United States; U.S. Geological Survey, Reston, VA, United States

Recommended Citation:
Blum A,G,, Archfield S,et al. On the probability distribution of daily streamflow in the United States[J]. Hydrology and Earth System Sciences,2017-01-01,21(6)
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