Next Article in Journal
An Operational High-Performance Forecasting System for City-Scale Pluvial Flash Floods in the Southwestern Plain Areas of Taiwan
Next Article in Special Issue
Riverbed Protection Downstream of an Undersized Stilling Basin by Means of Antifer Artificial Blocks
Previous Article in Journal
The Spatiotemporal Patterns and Interrelationships of Snow Cover and Climate Change in Tianshan Mountains
Previous Article in Special Issue
Influence of Erodible Beds on Shallow Water Hydrodynamics during Flood Events
Open AccessArticle

A Stochastic Procedure for Temporal Disaggregation of Daily Rainfall Data in SuDS Design

1
Department of Civil and Environmental Engineering, University of Florence, 50139 Florence, Italy
2
Departamento de Ingeniería Civil, Hidráulica, Energía y Medio Ambiente, Universidad Politécnica de Madrid (UPM), 28040 Madrid, Spain
*
Author to whom correspondence should be addressed.
Academic Editor: Ataur Rahman
Water 2021, 13(4), 403; https://doi.org/10.3390/w13040403
Received: 9 December 2020 / Revised: 22 January 2021 / Accepted: 30 January 2021 / Published: 4 February 2021
(This article belongs to the Special Issue Planning and Management of Hydraulic Infrastructure)
Hydrological design of Sustainable urban Drainage Systems (SuDS) is commonly achieved by estimating rainfall volumetric percentiles from daily rainfall series. Nevertheless, urban watersheds demand rainfall data at sub-hourly time step. Temporal disaggregation of daily rainfall records using stochastic methodologies can be applied to improve SuDS design parameters. This 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. Observed and simulated continuous rainfall series with sub-hourly time-step were used to calculate four key characteristics of rainfall and two types of rainfall volumetric percentiles. To separate independent rainstorm events, MIT values of 3, 6, 12, 24, 48 and 72 h and storm volume thresholds of 0.2, 0.5, 1 and 2 mm were considered. Results show that the proposed methodology improves the estimation of the key characteristics of the rainfall events as well as the hydrologic parameters for SuDS design, compared with values directly deduced from the observed rainfall series with daily time-step. Moreover, MITs rainfall volumetric percentiles of total number of rainfall events are very sensitive to MIT and threshold values, while percentiles of total volume of accumulated rainfall series are sensitive only to MIT values. View Full-Text
Keywords: SuDS design; stochastic rainfall generator; RainSim V.3; temporal disaggregation; independent rainfall events; urban watersheds; storm volume threshold SuDS design; stochastic rainfall generator; RainSim V.3; temporal disaggregation; independent rainfall events; urban watersheds; storm volume threshold
Show Figures

Figure 1

MDPI and ACS Style

Pampaloni, M.; Sordo-Ward, A.; Bianucci, P.; Gabriel-Martin, I.; Caporali, E.; Garrote, L. A Stochastic Procedure for Temporal Disaggregation of Daily Rainfall Data in SuDS Design. Water 2021, 13, 403. https://doi.org/10.3390/w13040403

AMA Style

Pampaloni M, Sordo-Ward A, Bianucci P, Gabriel-Martin I, Caporali E, Garrote L. A Stochastic Procedure for Temporal Disaggregation of Daily Rainfall Data in SuDS Design. Water. 2021; 13(4):403. https://doi.org/10.3390/w13040403

Chicago/Turabian Style

Pampaloni, Matteo; Sordo-Ward, Alvaro; Bianucci, Paola; Gabriel-Martin, Ivan; Caporali, Enrica; Garrote, Luis. 2021. "A Stochastic Procedure for Temporal Disaggregation of Daily Rainfall Data in SuDS Design" Water 13, no. 4: 403. https://doi.org/10.3390/w13040403

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop