Simulating Flood Urban Drainage Networks through 1D/2D Model Analysis

Abdelrahman, Yara T.; Moustafa, A. M.; Elfawy, Mohamed

doi:10.14796/jwmm.c454

Cited by 7 publications

(2 citation statements)

References 3 publications

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“…The model includes a 1D sewer system and a 2D surface model. It was created using the commercial software PC-SWMM2D (7.4) developed by the Computational Hydraulic Institute (CHI) [39], presented by James et al [39], and demonstrated by Abdelrahman et al [40]. The valley-shaped study area is in the eastern part of the city and covers approximately 132 ha (Figure 1).…”

Section: Study Sitementioning

confidence: 99%

The Impact of Underground Structures on Urban Flood Models

Hauser,

Reinstaller,

Oberascher

et al. 2024

Water

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Owing to climate change, heavy rainfall events have increased in recent years, often resulting in urban flooding. Urban flood models usually consider buildings to be closed obstacles, which is not the case in reality. To address this research gap, an existing 1D/2D model was extended with underground structures. The underground structures were located using site visits, Google Earth, and information provided by the city administration. Control strategies were used to represent partially open doors or tilted windows. The model was simulated with three measured rainfall events in three different scenarios. Scenarios with underground structures resulted in small storage volumes in the structures and a slightly less flooded area on the surface. The assumptions made were analysed using sensitivity analysis. Varying the number and location of underground structures resulted in small variations in the stored volume and surface flood volume. The sensitivity analysis also showed that the thresholds for height and velocity had a large impact, whereas the opening percentage did not influence the number of buildings affected. The conclusion of the study is that the inclusion of underground structures has little effect on the predicted flooded areas but can be useful in quantifying the water depth in potentially vulnerable buildings.

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Section: Study Sitementioning

confidence: 99%

The Impact of Underground Structures on Urban Flood Models

Hauser,

Reinstaller,

Oberascher

et al. 2024

Water

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show abstract

“…The emergence of new data collection techniques and advances in computing technology have relaxed such constraints and made the application of hydraulic models to complex urban terrain where buildings are resolved possible. Some commercial models, such as MIKE Urban [23] , SOBEK [24] , InfoWorks ICM [25] , and PCSWMM [26] , have realized the mass exchange between drainage systems and overland surface by coupling 1D/2D models [21,27] . Nevertheless, the majority of these models require expensive modules that somewhat limit their widespread usage.…”

Section: Introductionmentioning

confidence: 99%

Multi-dimensional dynamic simulation of rainstorm waterlogging in urban communities

2022

Dis Prev Res

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One major threat to cities at present is the increasing rainstorm waterlogging hazards due to climate change and accelerated urbanization. This paper explores the mechanism of rainstorm waterlogging and enables the fine simulation of surface water propagation over complex urban terrain. A novel community-scale waterlogging modeling scheme is presented by loosely coupling a one-dimensional sewer model with a two-dimensional overland model under an open-source framework. The coupled model was applied to Waigaoqiao Free Trade Zone located in Pudong New Area of Shanghai. To quantify the influence of rainfall intensity and drainage conditions on the waterlogging, 12 scenarios were constructed by combining four rainfall return periods (3, 5, 10, and 20 a) and three startup water depths (1.5, 2.0, and 2.5 m) of pump stations. The multi-scenario simulation results show that the waterlogging risk increases from north to south in the study area, and that risk zones with water depth above 0.3 m are mostly concentrated in the southwest and southeast corners of the site. The longer the rainfall return period, the larger the submerged area, and the spatial distribution of surface water accumulation is affected by local topography and drainage system. In addition, reducing the startup water depth of pump stations has an obvious effect on inhibiting the severity of water accumulation. The results provide insights into overland flow across an urban area with densely populated buildings and help to reduce the risk of rainstorm-induced waterlogging disasters.

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Assessment of and Solutions to the Stormwater Management System of Auburn University Campus in Auburn, Alabama

Molla

Mitra

Vasconcelos

2022

JWMM

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Stormwater management needs attention as it causes surface flooding and pollution of nearby waterbodies. Parkerson Mill Creek in Auburn University, which gets polluted through surface runoff, is an example of this. In this study, a Personal Computer Stormwater Management Model (PCSWMM) was used to determine the susceptibility of the existing stormwater network to flooding on the Auburn University campus. Maximum water velocity mapping was used to identify areas associated with 3 categories of velocity (high, medium, and low) to find areas of potential erosion. Among the various sustainable stormwater management initiatives, it was found through a literature review that bioretention cells had the greatest potential to improve stormwater quality by screening pollutants from runoff water as well as minimizing erosion by reducing surface water velocity. Suitability analysis for bioretention cells identified 8 areas on the campus where bioretention cell could be installed for the most effective stormwater management. This study highlights the usability of PCSWMM models and techniques in increasing the efficiency of the stormwater system in any locality.

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Simulating Flood Urban Drainage Networks through 1D/2D Model Analysis

Cited by 7 publications

References 3 publications

The Impact of Underground Structures on Urban Flood Models

The Impact of Underground Structures on Urban Flood Models

Multi-dimensional dynamic simulation of rainstorm waterlogging in urban communities

Assessment of and Solutions to the Stormwater Management System of Auburn University Campus in Auburn, Alabama

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