The paper is aimed to analyze the ability of the synthetic rainfall generation process to reproduce the main characteristics of the observed rainfall and the estimation of the hydrologic parameters often used for SuDS design and by using the generally available daily rainfall data. Other specifics objectives are to analyze the effect of Minimum Inter-event Time (MIT) and storm volume threshold on rainfall volumetric percentiles commonly used in SuDS design. The reliability of the stochastic spatial-temporal model RainSim V.3 to reproduce observed key characteristics of rainfall pattern and volumetric percentiles, was also investigated.
A Stochastic Procedure for Temporal Disaggregation of Daily Rainfall Data in SuDS Design / Matteo Pampaloni; Alvaro Sordo-Ward; Paola Bianucci; Ivan Gabriel-Martin; Enrica Caporali; Luis Garrote. - In: WATER. - ISSN 2073-4441. - ELETTRONICO. - 13:(2021), pp. 1-18. [10.3390/w13040403]
A Stochastic Procedure for Temporal Disaggregation of Daily Rainfall Data in SuDS Design
Matteo Pampaloni
;Enrica CaporaliSupervision
;
2021
Abstract
The paper is aimed to analyze the ability of the synthetic rainfall generation process to reproduce the main characteristics of the observed rainfall and the estimation of the hydrologic parameters often used for SuDS design and by using the generally available daily rainfall data. Other specifics objectives are to analyze the effect of Minimum Inter-event Time (MIT) and storm volume threshold on rainfall volumetric percentiles commonly used in SuDS design. The reliability of the stochastic spatial-temporal model RainSim V.3 to reproduce observed key characteristics of rainfall pattern and volumetric percentiles, was also investigated.File | Dimensione | Formato | |
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