Modeling an Urban Drainage System with Large Tailwater Effects under Extreme Rainfall Conditions

2002 ◽  
Author(s):  
Anthony W. Holder ◽  
Eric J. Stewart ◽  
Philip B. Bedient
Keyword(s):  
Drainage System ◽  
Extreme Rainfall ◽  
Urban Drainage ◽  
Urban Drainage System

scholarly journals Integrated framework for assessing climate change impact on extreme rainfall and the urban drainage system

2019 ◽  
Vol 51 (1) ◽  
pp. 77-89 ◽  
Author(s):  
Wei Lu ◽  
Xiaosheng Qin
Keyword(s):  
Climate Change ◽  
Climate Change Impact ◽  
Drainage System ◽  
Extreme Rainfall ◽  
Urban Drainage ◽  
Stochastic Weather Generator ◽  
Urban Drainage System ◽  
Integrated Framework ◽  
Change Impact ◽  
The Impact

Abstract Urban areas are becoming increasingly vulnerable to extreme storms and flash floods, which could be more damaging under climate change. This study presented an integrated framework for assessing climate change impact on extreme rainfall and urban drainage systems by incorporating a number of statistical and modelling techniques. Starting from synthetic future climate data generated by the stochastic weather generator, the simple scaling method and the Huff rainfall design were adopted for rainfall disaggregation and rainfall design. After having obtained 3-min level designed rainfall information, the urban hydrological model (i.e., Storm Water Management Model) was used to carry out the runoff analysis. A case study in a tropical city was used to demonstrate the proposed framework. Particularly, the impact of selecting different general circulation models and Huff distributions on future 1-h extreme rainfall and the performance of the urban drainage system were investigated. It was revealed that the proposed framework is flexible and easy to implement in generating temporally high-resolution rainfall data under climate model projections and offers a parsimonious way of assessing urban flood risks considering the uncertainty arising from climate change model projections, downscaling and rainfall design.

scholarly journals Uncertainty Analysis in the Evaluation of Extreme Rainfall Trends and Its Implications on Urban Drainage System Design

Water ◽  
2015 ◽  
Vol 7 (12) ◽  
pp. 6931-6945 ◽  
Author(s):  
Vincenza Notaro ◽  
Lorena Liuzzo ◽  
Gabriele Freni ◽  
Goffredo La Loggia
Keyword(s):  
Uncertainty Analysis ◽  
System Design ◽  
Drainage System ◽  
Extreme Rainfall ◽  
Urban Drainage ◽  
Urban Drainage System ◽  
Rainfall Trends

scholarly journals Adaption to Extreme Rainfall with Open Urban Drainage System: An Integrated Hydrological Cost-Benefit Analysis

2013 ◽  
Vol 51 (3) ◽  
pp. 586-601 ◽  
Author(s):  
Qianqian Zhou ◽  
Toke Emil Panduro ◽  
Bo Jellesmark Thorsen ◽  
Karsten Arnbjerg-Nielsen
Keyword(s):  
Cost Benefit Analysis ◽  
Drainage System ◽  
Cost Benefit ◽  
Extreme Rainfall ◽  
Urban Drainage ◽  
Benefit Analysis ◽  
Urban Drainage System

Monitoring the future behaviour of urban drainage system under climate change: a case study from north-western England

2014 ◽  
Vol 5 (1) ◽  
Author(s):  
Yassin Z. Osman
Keyword(s):  
Climate Change ◽  
Climate Model ◽  
Global Climate ◽  
Global Climate Model ◽  
Drainage System ◽  
Extreme Rainfall ◽  
Urban Drainage ◽  
Urban Drainage System ◽  
Monitoring The Future ◽  
Greenhouse Emission

AbstractCatchments hydrological conditions and responses are anticipated to be affected by the changes in weather patterns, increasing in climate variability and extreme rainfall. Thus, engineers have no choice but to consider climate change in their practices in order to adapt and serve the public interests. This paper is an exploration of the impacts of climate change on the hydrology that underlies the hydraulic design of urban drainage system. Future rainfall has been downscaled from the Global Climate Model (GCM) employing a hybrid Generalised Linear Model (GLM) and Artificial Neural Network (ANN) downscaling techniques under different greenhouse emission scenarios. The output from this model is applied to a combined sewer system of an urban drainage catchment in the Northwest of England during the 21st Century to monitor its future behaviour in winter and summer seasons. Potential future changes in rainfall intensity are expected to alter the level of service of the system, causing more challenges in terms of surface flooding and increase in surcharge level in sewers. The results obtained demonstrate that there is a real chance for these effects to take place and therefore would require more attention from designers and catchment managers.

Integrated modelling: comparison of state variables, processes and parameters in sewer and wastewater treatment plant models

1997 ◽  
Vol 36 (5) ◽  
pp. 373-380 ◽  
Author(s):  
C. Fronteau ◽  
W. Bauwens ◽  
P.A. Vanrolleghem
Keyword(s):  
Wastewater Treatment ◽  
Wastewater Treatment Plant ◽  
Treatment Plant ◽  
Drainage System ◽  
Integrated Modelling ◽  
Urban Drainage ◽  
State Variables ◽  
Sewer System ◽  
Wastewater Treatment Process ◽  
Urban Drainage System

All the parts of an urban drainage system, i.e. the sewer system, the wastewater treatment plant (WWTP) and the river, should be integrated into one single model to assess the performance of the overall system and for the development of design and control strategies assisting in its sustainable and cost effective management. Existing models for the individual components of the system have to be merged in order to develop the integrated tool. One of the problems arising from this methodology is the incompatibility of state variables, processes and parameters used in the different modelling approaches. Optimisation of an urban drainage system, and of the wastewater treatment process in particular, requires a good knowledge of the wastewater composition. As important transformations take place between the emission from the household and the arrival at the treatment facility, sewer models should include these transformations in the sewer system. At present, however, research is still needed in order to increase our knowledge of these in-sewer processes. A comparison of the state variables, processes and parameters has been carried out in both sewer models (SMs) and activated sludge models (ASMs). An ASM approach is used for the description of reactions in sewer models. However, a difference is found in the expression for organic material (expressed in terms of BOD) and heterotrophic biomass is absent as a state variable, resulting in differences in processes and parameters. Reconciliation of both the models seems worthwhile and a preliminary solution is suggested in this paper.

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