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Titel |
Stochastic rainfall analysis for storm tank performance evaluation |
VerfasserIn |
I. Andrés-Doménech, A. Montanari, J. B. Marco |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1027-5606
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Digitales Dokument |
URL |
Erschienen |
In: Hydrology and Earth System Sciences ; 14, no. 7 ; Nr. 14, no. 7 (2010-07-09), S.1221-1232 |
Datensatznummer |
250012365
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Publikation (Nr.) |
copernicus.org/hess-14-1221-2010.pdf |
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Zusammenfassung |
Stormwater detention tanks are widely used for mitigating impacts of
combined sewer overflows (CSO) from urban catchments into receiving water
bodies. The optimal size of detention tanks depends on climate and sewer
system behaviours and can be estimated by using derived distribution
approaches. They are based on using a stochastic model to fit the
statistical pattern of observed rainfall records and a urban hydrology model
to transform rainfall in sewer discharge. A key issue is the identification
of the optimal structure of the stochastic rainfall model. Point processes
are frequently applied, where rainfall events are schematised through the
occurrence of rectangular pulses, which are governed by rainfall
descriptors. In the presented model these latter descriptors are the
interevent time (duration of the dry period between consecutive storms),
event rainfall depth and event rainfall duration. This paper focuses on the
analytical derivation of the probability distribution of the number and
volume of overflows from the storm tank to the receiving water body for
different and non-standard shapes of the probability distribution for above
mentioned descriptors. The proposed approach is applied to 2 different sites
in Spain: Valencia and Santander, located on the Mediterranean and northern
Atlantic coastline, respectively. For both cases, it turned out that Pareto
and Gamma-2 probability distributions for rainfall depth and duration
provided a better fit than the exponential model, widely used in previous
studies. A comparison between the two climatic zones, humid and semiarid,
respectively, proves the key role played by climatic conditions for storm
detention tanks sizing. |
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