Bartlett-Lewis of rectangular pulse modified model: estimate of parameters for simulation of precipitation in sub-hourly duration

Teixeira-Gandra, Claudia Fernanda Almeida; Damé, Rita de Cássia Fraga

doi:10.1590/s0100-69162014000500011

Cited by 4 publications

(3 citation statements)

References 17 publications

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“…(iii) Bartlett-Lewis rectangular pulse model It is a Cluster-Poisson-type model, whose main advantage is simulating precipitation events, using rectangular pulses [106], allowing the estimation of precipitation intensities associated with durations shorter than those observed. The procedure for its adjustment is detailed in [106,111].…”

Section: Idf Curvesmentioning

confidence: 99%

Review: Fractal Geometry in Precipitation

Monjo,

Meseguer-Ruiz

2024

Atmosphere

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Rainfall, or more generally the precipitation process (flux), is a clear example of chaotic variables resulting from a highly nonlinear dynamical system, the atmosphere, which is represented by a set of physical equations such as the Navier–Stokes equations, energy balances, and the hydrological cycle, among others. As a generalization of the Euclidean (ordinary) measurements, chaotic solutions of these equations are characterized by fractal indices, that is, non-integer values that represent the complexity of variables like the rainfall. However, observed precipitation is measured as an aggregate variable over time; thus, a physical analysis of observed fluxes is very limited. Consequently, this review aims to go through the different approaches used to identify and analyze the complexity of observed precipitation, taking advantage of its geometry footprint. To address the review, it ranges from classical perspectives of fractal-based techniques to new perspectives at temporal and spatial scales as well as for the classification of climatic features, including the monofractal dimension, multifractal approaches, Hurst exponent, Shannon entropy, and time-scaling in intensity–duration–frequency curves.

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Section: Idf Curvesmentioning

confidence: 99%

Review: Fractal Geometry in Precipitation

Monjo,

Meseguer-Ruiz

2024

Atmosphere

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“…The simplest way of representing a water deficit event may be to use a rectangular pulse. The rectangular pulse has been widely used for modeling rainfall events [37][38][39][40][41][42], as well as drought events [43]. This study also adopted this simplification to represent a water deficit event with its deficit duration, deficit volume, and deficit intensity (i.e., the deficit volume divided by its deficit duration).…”

Section: Study Area and Datamentioning

confidence: 99%

Vulnerability Assessment of Dam Water Supply Capacity Based on Bivariate Frequency Analysis Using Copula

Yoo¹,

Cho²

2018

Water

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Abstract:The vulnerability of the water supply capacity of a dam is defined as the expected deficit volume from a typical water deficit event. In this study, a water deficit event was assumed to be a rectangle composed of the deficit duration and deficit intensity whose occurrence probability was then estimated by the bivariate frequency analysis based on the copula method. This approach is different from the conventional one based on the assumption of the same occurrence probability for all events. This proposed method was applied to the Namgang dam in Korea as an example and the resulting estimate of the vulnerability was compared with the conventional method. First, the 'OR' concept was found to be better than the 'AND' concept in the calculation of the occurrence probability. Additionally, based on the consideration of multicollinearity, it could be concluded that the occurrence probability should be estimated by considering the water deficit intensity and duration. For the Namgang dam, the vulnerability was determined to be 9.11 × 10 6 m 3 , which is about 3% of the total storage capacity. This estimated vulnerability is also about 70% of the amount estimated by applying the conventional method with the same occurrence probability for all water deficit events.

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“…Both programs were required as Hyetos only disaggregates daily rainfall to an hourly time step whilst PCSWMM's disaggregation tool can only disaggregate hourly rainfall to a fifteen-minute time step. Both programs use the Bartlett-Lewis Rectangular Pulse Model [34,35].…”

Section: Detail Of Data Sourcementioning

confidence: 99%

Improving the Viability of Stormwater Harvesting through Rudimentary Real Time Control

Rohrer

Armitage

2017

Water

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Stormwater Harvesting (SWH) to alleviate water scarcity is often hindered by the lack of suitable available storage in urban areas. This research aimed to discover an economically viable strategy of storing runoff in existing stormwater ponds with the assistance of rudimentary Real Time Control (RTC) techniques to increase the effective storage capacity. The Diep River sub-catchment situated in the southern suburbs of Cape Town, South Africa, that has several stormwater ponds that were largely constructed for the purposes of flood mitigation, was used as a case study. Six SWH scenarios utilising three distinct RTC strategies coupled with two alternative water demand alternatives were simulated with the aid of 10 years' of historical rainfall data with a view to determining the unit cost of supplying selected developments with non-potable water. The use of RTC to increase the effective storage of the ponds was shown to improve the volumetric yield without significantly impairing the flood mitigation provided by the system at a cost that was comparable to what the local residents were already paying for potable water. This finding is important as it suggests a cost-effective way of overcoming one of the greatest limitations associated with stormwater harvesting.

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Bartlett-Lewis of rectangular pulse modified model: estimate of parameters for simulation of precipitation in sub-hourly duration

Cited by 4 publications

References 17 publications

Review: Fractal Geometry in Precipitation

Review: Fractal Geometry in Precipitation

Vulnerability Assessment of Dam Water Supply Capacity Based on Bivariate Frequency Analysis Using Copula

Improving the Viability of Stormwater Harvesting through Rudimentary Real Time Control

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