scholarly journals Urban Stormwater Modeling with Local Inertial Approximation Form of Shallow Water Equations: A Comparative Study

2021 ◽  
Author(s):  
Weiqi Wang ◽  
Wenjie Chen ◽  
Guoru Huang
Keyword(s):  
Shallow Water ◽  
Computational Efficiency ◽  
Environmental Protection Agency ◽  
Shallow Water Equations ◽  
Drainage System ◽  
Flood Modeling ◽  
Urban Stormwater ◽  
Urban Flood ◽  
Storm Water Management Model ◽  
Form Model

AbstractThis study focused on the performance and limitations of the local inertial approximation form model (LIM) of the shallow water equations (SWEs) when applied in urban flood modeling. A numerical scheme of the LIM equations was created using finite volume method with a first-order spatiotemporal Roe Riemann solver. A simplified urban stormwater model (SUSM) considering surface and underground dual drainage system was constructed based on LIM and the US Environmental Protection Agency Storm Water Management Model. Moreover, a complete urban stormwater model (USM) based on the SWEs with the same solution algorithm was used as the evaluation benchmark. Numerical results of the SUSM and USM in a highly urbanized area under four rainfall return periods were analyzed and compared. The results reveal that the performance of the SUSM is highly consistent with that of the USM but with an improvement in computational efficiency of approximately 140%. In terms of the accuracy of the model, the SUSM slightly underestimates the water depth and velocity and is less accurate when dealing with supercritical flow in urban stormwater flood modeling. Overall, the SUSM can produce comparable results to USM with higher computational efficiency, which provides a simplified and alternative method for urban flood modeling.

scholarly journals Urban flood modeling with porous shallow-water equations: A case study of model errors in the presence of anisotropic porosity

2015 ◽  
Vol 523 ◽  
pp. 680-692 ◽  
Author(s):  
Byunghyun Kim ◽  
Brett F. Sanders ◽  
James S. Famiglietti ◽  
Vincent Guinot
Keyword(s):  
Shallow Water ◽  
Shallow Water Equations ◽  
Model Errors ◽  
Flood Modeling ◽  
Urban Flood

scholarly journals Urban flood modeling using shallow water equations with depth-dependent anisotropic porosity

2016 ◽  
Vol 541 ◽  
pp. 1165-1184 ◽  
Author(s):  
Ilhan Özgen ◽  
Jiaheng Zhao ◽  
Dongfang Liang ◽  
Reinhard Hinkelmann
Keyword(s):  
Shallow Water ◽  
Shallow Water Equations ◽  
Flood Modeling ◽  
Urban Flood

scholarly journals Two-Dimensional Shallow-Water Model with Porosity for Urban Flood Modeling

Proceedings ◽  
2018 ◽  
Vol 2 (20) ◽  
pp. 1307
Author(s):  
Malika Benslimane ◽  
Saâdia Benmamar ◽  
André Paquier
Keyword(s):  
Shallow Water ◽  
Shallow Water Equations ◽  
Urban Areas ◽  
Large Scale ◽  
Momentum Equation ◽  
Water Model ◽  
Finite Volume Scheme ◽  
Two Dimensional ◽  
Flood Modeling ◽  
Urban Flood

In the world, floods are at the forefront of natural hazard. Urban areas are often at risk of flooding and just as often unprepared for management. Flood modeling is nowadays a very important topic in the theme of water, it inevitably involves the numerical resolution of the shallow water equations derived from the Navier Stocks equations governing flows. Two-dimensional shallow water models with porosity appear as an interesting path for the large-scale modeling of floodplains with urbanized areas. The porosity accounts for the reduction in storage and in the exchange sections due to the presence of buildings and other structures in the floodplain. The introduction of a porosity into the two-dimensional shallow water equations leads to modified expressions for the fluxes and source terms. An extra source term appears in the momentum equation. The developed solution method consists in solving the two-dimensional shallow water equations with porosity via a finite volume scheme solving the conservative form of the equations which can be reduced to a calculation of flux through an edge, a problem that can be approached by a one-dimensional problem in the normal direction at the edge (Riemann problem).

Integral formulation of shallow-water equations with anisotropic porosity for urban flood modeling

2008 ◽  
Vol 362 (1-2) ◽  
pp. 19-38 ◽  
Author(s):  
Brett F. Sanders ◽  
Jochen E. Schubert ◽  
Humberto A. Gallegos
Keyword(s):  
Shallow Water ◽  
Shallow Water Equations ◽  
Integral Formulation ◽  
Flood Modeling ◽  
Urban Flood

scholarly journals A Review of Recent Studies on Urban Stormwater Drainage System for Urban Flood Management

2020 ◽  
Author(s):  
Manaye Teshome ◽  
Allu Revathi Devi
Keyword(s):  
Disaster Management ◽  
Management Strategies ◽  
Drainage System ◽  
Flood Management ◽  
Flood Disaster ◽  
Future Research ◽  
Urban Flooding ◽  
Urban Stormwater ◽  
Urban Flood ◽  
Pluvial Flooding

Stormwater drainage and urban flooding are the popular issues in policy agendas and academia. Although the research on these title increases steadily an integrated review on stormwater drainage and urban flood with a focus on pluvial flooding has yet to be produced. This paper presents a critical review on stormwater drainage and urban flood based on 78 selected journal papers published over the period of 1990 to 2018. The review focus on pluvial flooding to relate urban stormwater drainage management and urban flood disaster management and to show the links between the two. The methods taken to manage urban stormwater drainage and urban flooding as well as the complexity of achieving a comprehensive urban flood disaster management are evaluated and discussed. To better understand the concepts behind urban flood and improve the urban flood risk management strategies, recommendation of future research directions are also provided.

Urban stormwater inundation simulation based on SWMM and diffusive overland-flow model

2017 ◽  
Vol 76 (12) ◽  
pp. 3392-3403 ◽  
Author(s):  
Wenjie Chen ◽  
Guoru Huang ◽  
Han Zhang
Keyword(s):  
Environmental Protection Agency ◽  
Flow Model ◽  
Overland Flow ◽  
The United States ◽  
Urban Stormwater ◽  
Rapid Urbanization ◽  
Storm Water Management Model ◽  
Inundation Simulation ◽  
Property Losses ◽  
Overland Flow Model

Abstract With rapid urbanization, inundation-induced property losses have become more and more severe. Urban inundation modeling is an effective way to reduce these losses. This paper introduces a simplified urban stormwater inundation simulation model based on the United States Environmental Protection Agency Storm Water Management Model (SWMM) and a geographic information system (GIS)-based diffusive overland-flow model. SWMM is applied for computation of flows in storm sewer systems and flooding flows at junctions, while the GIS-based diffusive overland-flow model simulates surface runoff and inundation. One observed rainfall scenario on Haidian Island, Hainan Province, China was chosen to calibrate the model and the other two were used for validation. Comparisons of the model results with field-surveyed data and InfoWorks ICM (Integrated Catchment Modeling) modeled results indicated the inundation model in this paper can provide inundation extents and reasonable inundation depths even in a large study area.

scholarly journals Applying Observed Rainfall and Deep Neural Network for Urban Flood Analysis

2020 ◽  
Vol 20 (1) ◽  
pp. 339-350
Author(s):  
Hyun Il Kim ◽  
Jae Young Lee ◽  
Kun Yeun Han ◽  
Jae Woong Cho
Keyword(s):  
Neural Network ◽  
Deep Neural Network ◽  
Drainage System ◽  
Urban Runoff ◽  
Rainfall Event ◽  
Time Interval ◽  
Urban Flood ◽  
Storm Water Management Model ◽  
Urban Sewage ◽  
Deep Learning Model

Urban flooding primarily occurs due to flash floods in low-lying regions or insufficient capacity of drainage systems. Urban inundation has become more dangerous to residents because of an increase in impermeable areas, uncertainties in urban sewage planning, and the accumulation of sedimentation in drainage pipes. As an urban watershed with a drainage system and an urbanized river is complicated, a specific time interval is required for the preparation and processing of urban runoff analysis. To allow for rapid simulations of urban runoff estimation during heavy rainfall, a deep neural network model that imitates the conditions of a 6-h duration rainfall was developed in this study. Ten different statistical aspects for each rainfall event were considered as input data, and the total accumulated overflow from a manhole was calculated at intervals of 10 min using storm water management model (SWMM). To verify the accuracy of the results from SWMM, the results obtained from a two-dimensional hydraulic model and an inundation trace map were compared. The computational times for the deep neural network and rainfall data-based models proposed in this study were estimated to be within 1 s, whereas the simulation using SWMM required 14 min. The proposed deep learning model was tested using the total accumulated overflow for the rainfall event observed at Gangnam (400) automatic weather station on July 27, 2011. The simulated results agreed with the observed results in terms of the total accumulated discharge.

scholarly journals A Review of Recent Studies on Urban Stormwater Drainage System for Urban Flood Management

2020 ◽  
Author(s):  
Manaye Teshome
Keyword(s):  
Disaster Management ◽  
Management Strategies ◽  
Drainage System ◽  
Flood Management ◽  
Flood Disaster ◽  
Future Research ◽  
Urban Flooding ◽  
Urban Stormwater ◽  
Urban Flood ◽  
Pluvial Flooding

Stormwater drainage and urban flooding are the popular issues in policy agendas and academia. Although the research on these title increases steadily an integrated review on stormwater drainage and urban flood with a focus on pluvial flooding has yet to be produced. This paper presents a critical review on stormwater drainage and urban flood based on 78 selected journal papers published over the period of 1990 to 2018. The review focus on pluvial flooding to relate urban stormwater drainage management and urban flood disaster management and to show the links between the two. The methods taken to manage urban stormwater drainage and urban flooding as well as the complexity of achieving a comprehensive urban flood disaster management are evaluated and discussed. To better understand the concepts behind urban flood and improve the urban flood risk management strategies, recommendation of future research directions are also provided.

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