scholarly journals Real-time control of sewer systems using turbidity measurements

2011 ◽  
Vol 63 (11) ◽  
pp. 2628-2632 ◽  
Author(s):  
C. Lacour ◽  
M. Schütze
Keyword(s):  
Real Time ◽  
Measurement Techniques ◽  
Quality Characteristics ◽  
Water Quantity ◽  
Urban Drainage ◽  
Data Sets ◽  
Real Time Control ◽  
Time Control ◽  
Sewer Systems ◽  
Combined Sewer

Real-time control (RTC) of urban drainage systems has been proven useful as a means to reduce pollution by combined sewer overflow discharges. So far, RTC has been investigated mainly with a sole focus on water quantity aspects. However, as measurement techniques for pollution of wastewater are advancing, pollution-based RTC might be of increasing interest. For example, turbidity data sets from an extensive measurement programme in two Paris catchments allow a detailed investigation of the benefits of using pollution-based data for RTC. This paper exemplifies this, comparing pollution-based RTC with flow-based RTC. Results suggest that pollution-based RTC indeed has some potential, particularly when measurements of water-quality characteristics are readily available.

A Network Algorithm for the Optimum Operation of Urban Drainage Systems

1991 ◽  
Vol 24 (6) ◽  
pp. 209-216 ◽  
Author(s):  
K. Neugebauer ◽  
W. Schilling ◽  
J. Weiss
Keyword(s):  
Linear Programming ◽  
Control System ◽  
Network Optimization ◽  
Optimization Problem ◽  
Urban Drainage ◽  
Real Time Control ◽  
Sewer System ◽  
Time Control ◽  
Sewer Systems ◽  
Combined Sewer

The objective is to route sewage through a combined sewer by means of a real time control system. The task is formulated as a mathematical network optimization problem. The sewer system is simplified to be a set of linearly operating nodes and arcs. Tests indicate that the results obtained are comparable to linear programming solutions. However, much larger systems can be handled. The algorithm is fast enough to have it applied on AT-PC's for real world sewer systems.

General assessment of potential CSO reduction by means of real time control

1995 ◽  
Vol 32 (1) ◽  
pp. 249-257 ◽  
Author(s):  
Michael Jørgensen ◽  
Wolfgang Schilling ◽  
Poul Harremoës
Keyword(s):  
Real Time ◽  
Case Studies ◽  
Control Strategies ◽  
Systematic Investigation ◽  
Optimum Control ◽  
Real Time Control ◽  
General Applicability ◽  
Time Control ◽  
Sewer Systems ◽  
Combined Sewer

A number of case studies have been carried out in which the potential reduction of combined sewer overflows (CSO) by means of real time control (RTC) is assessed for existing sewer systems. It is an inherent problem of case studies that results cannot necessarily be generalized. In this paper results of a systematic investigation of hypothetical combined sewer systems are presented. The systems were characterized in terms of their topological structure, size, type and arrangement of storage and transport elements. The RTC optimization model LOCUS was applied to simulate the performance of local control and of optimum control strategies. The results are expressed as “CSO reduction achieved by optimum control, compared to the locally controlled system”. General conclusions are drawn with respect to possible CSO reduction for a system with given topology, storage and transport characteristics. Finally, these are compared to some case studies reported in the literature in order to verify and show the general applicability of the findings.

Modifications of rainfall runoff and decision finding models for on-line simulation in real time control

1999 ◽  
Vol 39 (9) ◽  
pp. 201-207
Author(s):  
Andreas Cassar ◽  
Hans-Reinhard Verworn
Keyword(s):  
Real Time ◽  
Urban Drainage ◽  
Rain Event ◽  
Rainfall Runoff ◽  
Real Time Control ◽  
Design Storm ◽  
Time Control ◽  
Timing Data ◽  
On Line ◽  
Rainfall Runoff Model

Most of the existing rainfall runoff models for urban drainage systems have been designed for off-line calculations. With a design storm or a historical rain event and the model system the rainfall runoff processes are simulated, the faster the better. Since very recently, hydrodynamic models have been considered to be much too slow for real time applications. However, with the computing power of today - and even more so of tomorrow - very complex and detailed models may be run on-line and in real time. While the algorithms basically remain the same as for off-line simulations, problems concerning timing, data management and inter process communication have to be identified and solved. This paper describes the upgrading of the existing hydrodynamic rainfall runoff model HYSTEM/EXTRAN and the decision finding model INTL for real time performance, their implementation on a network of UNIX stations and the experiences from running them within an urban drainage real time control project. The main focus is not on what the models do but how they are put into action and made to run smoothly embedded in all the processes necessary in operational real time control.

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.

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