Real-time urban drainage system modelling using weather radar rainfall data

1999 ◽  
Vol 24 (8) ◽  
pp. 915-919 ◽  
Author(s):  
J.M. Yuan ◽  
K.A. Tilford ◽  
H.Y Jiang ◽  
I.D. Cluckie
Keyword(s):  
Real Time ◽  
Drainage System ◽  
Weather Radar ◽  
Rainfall Data ◽  
System Modelling ◽  
Urban Drainage ◽  
Radar Rainfall ◽  
Urban Drainage System

scholarly journals Runoff Simulation of An Urban Drainage System Using Radar Rainfall Data

2013 ◽  
Vol 15 (3) ◽  
pp. 413-422 ◽  
Author(s):  
Na Rae Kang ◽  
Hui Seung Noh ◽  
Jong So Lee ◽  
Sang Hun Lim ◽  
Hung Soo Kim
Keyword(s):  
Drainage System ◽  
Rainfall Data ◽  
Urban Drainage ◽  
Runoff Simulation ◽  
Radar Rainfall ◽  
Urban Drainage System

Energy optimization of the urban drainage system by integrated real-time control during wet and dry weather conditions

2018 ◽  
Vol 15 (4) ◽  
pp. 362-370 ◽  
Author(s):  
Stefan Kroll ◽  
Alessio Fenu ◽  
Tom Wambecq ◽  
Marjoleine Weemaes ◽  
Jan Van Impe ◽  
...  
Keyword(s):  
Real Time ◽  
Energy Optimization ◽  
Drainage System ◽  
Weather Conditions ◽  
Urban Drainage ◽  
Real Time Control ◽  
Urban Drainage System ◽  
Time Control

Real-time control of urban drainage system: Optimization of spillways

2015 ◽  
Author(s):  
S. Spina ◽  
L. Pancotto ◽  
G. Paris ◽  
F. Lombardo ◽  
S. Magnaldi ◽  
...  
Keyword(s):  
Real Time ◽  
Drainage System ◽  
System Optimization ◽  
Urban Drainage ◽  
Real Time Control ◽  
Urban Drainage System ◽  
Time Control

Simulation of Urban Drainage System Using Disaggregated Rainfall Data

2018 ◽  
pp. 123-133
Author(s):  
Vinay Ashok Rangari ◽  
K. Veerendra Gopi ◽  
N. V. Umamahesh ◽  
Ajey Kumar Patel
Keyword(s):  
Drainage System ◽  
Rainfall Data ◽  
Urban Drainage ◽  
Urban Drainage System

Global optimal real-time control of the Quebec urban drainage system

2005 ◽  
Vol 20 (4) ◽  
pp. 401-413 ◽  
Author(s):  
M PLEAU ◽  
H COLAS ◽  
P LAVALLEE ◽  
G PELLETIER ◽  
R BONIN
Keyword(s):  
Real Time ◽  
Drainage System ◽  
Urban Drainage ◽  
Real Time Control ◽  
Urban Drainage System ◽  
Time Control ◽  
Global Optimal

scholarly journals Development of a Simulation Model for Real-Time Urban Floods Warning: A Case Study at Sukhumvit Area, Bangkok, Thailand

Water ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 1458
Author(s):  
Detchphol Chitwatkulsiri ◽  
Hitoshi Miyamoto ◽  
Sutat Weesakul
Keyword(s):  
Real Time ◽  
Water Resource Management ◽  
Drainage System ◽  
Flood Management ◽  
Rainfall Data ◽  
Urban Drainage ◽  
Flood Inundation ◽  
The Real ◽  
Inundation Area ◽  
Flood Inundation Mapping

Increasingly frequent, high-intensity rain events associated with climatic change are driving urban drainage systems to function beyond their design discharge capacity. It has become an urgent issue to mitigate the water resource management challenge. To address this problem, a real-time procedure for predicting the inundation risk in an urban drainage system was developed. The real-time procedure consists of three components: (i) the acquisition and forecast of rainfall data; (ii) rainfall-runoff modeling; and (iii) flood inundation mapping. This real-time procedure was applied to a drainage system in the Sukhumvit area of Bangkok, Thailand, to evaluate its prediction efficacy. The results showed precisely that the present real-time procedure had high predictability in terms of both the water level and flood inundation area mapping. It could also determine hazardous areas with a certain amount of lead time in the drainage system of the Sukhumvit area within an hour of rainfall data. These results show the real-time procedure could provide accurate flood risk warning, resulting in more time to implement flood management measures such as pumping and water gate operations, or evacuation.

A novel approach to the real-time modelling of large urban drainage systems

1997 ◽  
Vol 36 (8-9) ◽  
pp. 19-24 ◽  
Author(s):  
Richard Norreys ◽  
Ian Cluckie
Keyword(s):  
Real Time ◽  
Dynamic Models ◽  
Drainage System ◽  
Radar Data ◽  
Urban Drainage ◽  
Real Time Control ◽  
Empirical Modelling ◽  
Time Control ◽  
Novel Approach ◽  
Non Linear Systems

Conventional UDS models are mechanistic which though appropriate for design purposes are less well suited to real-time control because they are slow running, difficult to calibrate, difficult to re-calibrate in real time and have trouble handling noisy data. At Salford University a novel hybrid of dynamic and empirical modelling has been developed, to combine the speed of the empirical model with the ability to simulate complex and non-linear systems of the mechanistic/dynamic models. This paper details the ‘knowledge acquisition module’ software and how it has been applied to construct a model of a large urban drainage system. The paper goes on to detail how the model has been linked with real-time radar data inputs from the MARS c-band radar.

Sign in / Sign up

Export Citation Format

Share Document