Leakage experiments and applications of leakage detection algorithm in the pilot plant of water distribution system

2014 ◽  
Vol 635-637 ◽  
pp. 924-927
Author(s):  
Tao Jin ◽  
Ze Yuan Zhou

To detect and locate the leakage of the pipe correctly, genetic algorithm is combined with Bayesian theory to determine the leaked pipes. Leakage detection and leakage location are carried out separately. Leakage detection is conducted based on the assumption that there is only one leaked pipe, and the simulation result demonstrates its feasibility. When the leakage detection demonstrates there is leaked pipe in the water distribution system, leakage location starts. Based on the information gathered by the manometers, leakage probability in different combinations of the virtual nodal demand can be fixed according to calculating the pressure of the monitored node, then GA is applied to search the maximum Bayesian value, the pipes with maximum Bayesian leakage possibility are believed to be leaked pipes. Optimization programme was made with combination of Matlab and Epanet, numerical simulation results demonstrate the feasibility and effectiveness of the proposed method.


2005 ◽  
Vol 52 (8) ◽  
pp. 181-189 ◽  
Author(s):  
J. Långmark ◽  
M.V. Storey ◽  
N.J. Ashbolt ◽  
T.A. Stenström

Distribution pipe biofilms can provide sites for the concentration of a wide range of microbial pathogens, thereby acting as a potential source of continual microbial exposure and furthermore can affect the aesthetic quality of water. In a joint project between Stockholm Water, the MISTRA “Sustainable Urban Water” program, the Swedish Institute for Infectious Disease Control and the Royal Technical University, Stockholm, the aim of the current study was to investigate biofilms formed in an urban water distribution system, and quantify the impact of such biofilms on potential pathogen accumulation and persistence within the Greater Stockholm Area, Sweden. When used for primary disinfection, ultra-violet (UV) treatment had no measurable influence on biofilm formation within the distribution system when compared to conventional chlorination. Biofilms produced within a model pilot-plant were found to be representative to those that had formed within the larger municipal water distribution system, demonstrating the applicability of the novel pilot-plant for future studies. Polystyrene microspheres (1.0μm) and Salmonella bacteriophages demonstrated their ability to accumulate and persist within the model pilot-plant system, where the means of primary disinfection (UV-treatment, chlorination) had no influence on such phenomena. With the exception of aeromonads, potential pathogens and faecal indicators could not be detected within biofilms from the Stockholm water distribution system. Results from this investigation may provide information for water treatment and distribution management strategies, and fill key data gaps that presently hinder the refinement of microbial risk models.


2013 ◽  
Vol 465-466 ◽  
pp. 467-471
Author(s):  
Makeen M. Amin ◽  
Abdul Hadi ◽  
Mohd Fairusham Ghazali

The detection of water leakages in water distribution system has always been a challenge in the water industry as most water pipelines are laid foot underground which are normally unseen to human naked eyes until water starts to flow out from roads and creates puddles. The age in pipelines network is a major problem and the reduction of these has become a major priority for pipeline authorities around the world. This project method are developed based on pressure transient by using single pressure transducer and analyses on newly method of analyzing called synchrosqueeze wavelet transform (SWT) which is viable approach to detect and locate the leak in pipeline system. Transient analyses offer a plausible route towards leak detection due to their robustness and simplicity. The result show that newly developed techniques, SWT appears to improve the ability of the method to identify features in the signal.


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