Modelling the impact of design rainfall on the urban drainage system by Storm Water Management Model

Laouacheria, Fares; Kechida, Said; Chabi, Moncef

doi:10.2478/jwld-2019-0013

Cited by 12 publications

(4 citation statements)

References 23 publications

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“…The simulations showed that the more rainfall intensity increases, the greater the extent of flooding, and consequently resulting in an increase in water depth at the outlet. This finding corroborates the results obtained by Laouacheria et al [57], where the impact of the designed rainfall was investigated using hydraulic tools based on the complete Saint-Venant equations within the Storm Water Management Model (SWMM).…”

Section: Discussionsupporting

confidence: 90%

Urban Flood Modeling Using 2D Shallow-Water Equations in Ouagadougou, Burkina Faso

Coulibaly

Lèye

Fowé

et al. 2020

Water

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Appropriate methods and tools accessibility for bi-dimensional flow simulation leads to their weak use for floods assessment and forecasting in West African countries, particularly in urban areas where huge losses of life and property are recorded. To mitigate flood risks or to elaborate flood adaptation strategies, there is a need for scientific information on flood events. This paper focuses on a numerical tool developed for urban inundation extent simulation due to extreme tropical rainfall in Ouagadougou city. Two-dimensional (2D) shallow-water equations are solved using a finite volume method with a Harten, Lax, Van Leer (HLL) numerical fluxes approach. The Digital Elevation Model provided by NASA’s Shuttle Radar Topography Mission (SRTM) was used as the main input of the model. The results have shown the capability of the numerical tool developed to simulate flow depths in natural watercourses. The sensitivity of the model to rainfall intensity and soil roughness coefficient was highlighted through flood spatial extent and water depth at the outlet of the watershed. The performance of the model was assessed through the simulation of two flood events, with satisfactory values of the Nash–Sutcliffe criterion of 0.61 and 0.69. The study is expected to be useful for flood managers and decision makers in assessing flood hazard and vulnerability.

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Section: Discussionsupporting

confidence: 90%

Urban Flood Modeling Using 2D Shallow-Water Equations in Ouagadougou, Burkina Faso

Coulibaly

Lèye

Fowé

et al. 2020

Water

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“…As well as to find and determine the right drainage system. Other studies have analyzed similar problems using SWMM and Rational Method [4], [5], [6], [7], [8], [9], [10], [11], [12], [13].…”

Section: Introductionmentioning

confidence: 99%

Planning For Kucica Residential Drainage System in South Tangerang City Using SWMM Modelling

Cahyono,

Wjaya,

Juliastuti

2024

IOP Conf. Ser.: Earth Environ. Sci.

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Planning an efficient drainage facility in residential areas is necessary to drain run-off water on the surface. To minimize the potential for inundation that can cause flooding. This research aims to design an efficient drainage system in one of the residential areas in BSD and to analyze the ability of drainage channels using the EPA SWMM 5.1 application for a 10-year return period. The results of this study for secondary channels with a maximum discharge plan of 0.101 m3/s can use a U-Ditch with dimensions of 30 cm × 40 cm, while primary channels with a maximum discharge plan of 0.288 m3/s can use a U-Ditch with dimensions of 40 cm × 60 cm. In this analysis only taking into account rainwater run-off from household sewage is not taken into account. In the main channel, using retention pond only can reduce around 12% of maximum discharge, so the alternative of flood prevention for this residential area can be implemented by using bio pore holes, which reduce 27.85% of maximum discharge. From these analyses, it can be concluded that the drainage system design can already accommodate the flood discharge, and adding retention pond does not affect decreasing flood discharge on the main channel too much.

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“…Concerning the modelling of flash floods, previous studies used various physical or statistical models to provide precise mapping for flood-prone zones. Physical models include the Hydrological Simulation Program-FORTRAN (HSPF) [12], Storm Water Management Model (SWMM) [13], and HEC-RAS [14,15], while statistical models include logistic regression, generalized linear models, entropy, frequency ratio (FR), Random Forest (RF), k-nearest neighbours (KNN), weighting factors, weights of evidence, and flexible discriminant analysis [16,17]. These models can be used to determine the connections between the location of an FSM-appropriate or inappropriate area and its conditioning elements.…”

Section: Introductionmentioning

confidence: 99%

Frequency Ratio Model as Tools for Flood Susceptibility Mapping in Urbanized Areas: A Case Study from Egypt

Megahed,

Abdo,

AbdelRahman

et al. 2023

Applied Sciences

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The occurrence of flash floods is a natural yet unavoidable occurrence over time. In addition to harming people, property, and resources, it also undermines a country’s economy. This paper attempts to identify areas of flood vulnerability using a frequency ratio approach. The frequency ratio (FR) model was used to produce flood prediction maps for New Cairo City, Egypt. Using field data and remote sensing data, 143 spatial flooded point sites were mapped to build a flood inventory map. The primary driving criteria for flash floods were determined to be elevation, slope, aspect, Land Use Land Cover (LULC), lithology, stream distance, stream density, topographic wetness index (TWI), surface runoff, and terrain ruggedness index (TRI), in that order of importance. A flood susceptibility map (FSM) has been created using the FR model, which combines geographical flooded sites and environmental variables. Our findings from FSM, roughly a fifth of the city is very highly susceptible to flooding (19.32%), while the remaining 40.09% and 13.14% of the study area rank very low and low risk, respectively. The receiver operating characteristic curve (ROC) technique was also used to validate the FSM, and the resulting results showed an area under the curve (AUC) of 90.11%. In conclusion, decision makers can employ models to extract and generate flood risk maps in order to better understand the effects of flash floods and to create alternative measures to prevent this hazard in similar regions. The results of this study will aid planners and decision makers in developing some likely actions to reduce floods vulnerability in this area.

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Modelling the impact of design rainfall on the urban drainage system by Storm Water Management Model

Cited by 12 publications

References 23 publications

Urban Flood Modeling Using 2D Shallow-Water Equations in Ouagadougou, Burkina Faso

Urban Flood Modeling Using 2D Shallow-Water Equations in Ouagadougou, Burkina Faso

Planning For Kucica Residential Drainage System in South Tangerang City Using SWMM Modelling

Frequency Ratio Model as Tools for Flood Susceptibility Mapping in Urbanized Areas: A Case Study from Egypt

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