Quantifying the impact of small scale unmeasured rainfall variability on urban runoff through multifractal downscaling: A case study
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作者:
Gires, A.
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Univ Paris Est, Ecole Ponts ParisTech, LEESU, F-77455 Cite Descartes, Marne La Vallee, FranceUniv Paris Est, Ecole Ponts ParisTech, LEESU, F-77455 Cite Descartes, Marne La Vallee, France
Gires, A.
[1
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Onof, C.
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Univ London Imperial Coll Sci Technol & Med, Dept Civil & Environm Engn, London, EnglandUniv Paris Est, Ecole Ponts ParisTech, LEESU, F-77455 Cite Descartes, Marne La Vallee, France
Onof, C.
[2
]
Maksimovic, C.
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Univ London Imperial Coll Sci Technol & Med, Dept Civil & Environm Engn, London, EnglandUniv Paris Est, Ecole Ponts ParisTech, LEESU, F-77455 Cite Descartes, Marne La Vallee, France
Maksimovic, C.
[2
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Schertzer, D.
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Univ Paris Est, Ecole Ponts ParisTech, LEESU, F-77455 Cite Descartes, Marne La Vallee, FranceUniv Paris Est, Ecole Ponts ParisTech, LEESU, F-77455 Cite Descartes, Marne La Vallee, France
Schertzer, D.
[1
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Tchiguirinskaia, I.
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Univ Paris Est, Ecole Ponts ParisTech, LEESU, F-77455 Cite Descartes, Marne La Vallee, FranceUniv Paris Est, Ecole Ponts ParisTech, LEESU, F-77455 Cite Descartes, Marne La Vallee, France
Tchiguirinskaia, I.
[1
]
Simoes, N.
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Univ London Imperial Coll Sci Technol & Med, Dept Civil & Environm Engn, London, England
Univ Coimbra, Dept Civil Engn, Coimbra, PortugalUniv Paris Est, Ecole Ponts ParisTech, LEESU, F-77455 Cite Descartes, Marne La Vallee, France
Simoes, N.
[2
,3
]
机构:
[1] Univ Paris Est, Ecole Ponts ParisTech, LEESU, F-77455 Cite Descartes, Marne La Vallee, France
[2] Univ London Imperial Coll Sci Technol & Med, Dept Civil & Environm Engn, London, England
[3] Univ Coimbra, Dept Civil Engn, Coimbra, Portugal
This paper aims at quantifying the uncertainty on urban runoff associated with the unmeasured small scale rainfall variability, i.e. at a resolution finer than 1 km x 1 km x 5 min which is usually available with C-band radar networks. A case study is done on the 900 ha urban catchment of Cranbrook (London). A frontal and a convective rainfall event are analysed. An ensemble prediction approach is implemented, that is to say an ensemble of realistic downscaled rainfall fields is generated with the help of universal multifractals, and the corresponding ensemble of hydrographs is simulated. It appears that the uncertainty on the simulated peak flow is significant, reaching for some conduits 25% and 40% respectively for the frontal and the convective events. The flow corresponding the 90% quantile, the one simulated with radar distributed rainfall, and the spatial resolution are power law related. (C) 2012 Elsevier B.V. All rights reserved.