# Optimal Selection and Monitoring of Nodes Aimed at Supporting Leakages Identification in WDS

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## Abstract

**:**

## 1. Introduction

## 2. Methodology

#### 2.1. Characterization of the Demand Pattern

#### 2.2. Measurement Points Identification

#### 2.3. Leakage Detection

## 3. Results

## 4. Conclusions

## Author Contributions

## Funding

## Conflicts of Interest

## References

- Jakob, M.; Steckel, J.C. Implications of climate change mitigation for sustainable development. Environ. Res. Lett.
**2016**, 11, 104010. [Google Scholar] [CrossRef] [Green Version] - Gargano, R.; Tricarico, C.; Granata, F.; Santopietro, S.; de Marinis, G. Probabilistic models for the peak residential water demand. Water
**2017**, 9, 417. [Google Scholar] [CrossRef] - Di Nardo, A.; di Natale, M.; Giudicianni, C.; Santonastaso, G.F.; Tzatchkov, V.; Varela, J.M.R. Economic and energy criteria for district meter areas design of water distribution networks. Water
**2017**, 9, 463. [Google Scholar] [CrossRef] - Carravetta, A.; Del Giudice, G.; Fecarotta, O.; Ramos, H.M. Pump as turbine (PAT) design in water distribution network by system effectiveness. Water
**2013**, 5, 1211–1225. [Google Scholar] [CrossRef] - Brentan, B.; Meirelles, G.; Luvizotto, E.; Izquierdo, J. Joint Operation of Pressure-Reducing Valves and Pumps for Improving the Efficiency of Water Distribution Systems. J. Water Resour. Plan. Manag.
**2018**, 144, 04018055. [Google Scholar] [CrossRef] - Abd Rahman, N.; Muhammad, N.S.; Wan Mohtar, W.H.M. Evolution of research on water leakage control strategies: Where are we now? Urban Water J.
**2018**, 15, 812–826. [Google Scholar] [CrossRef] - Federici, E.; Meniconi, S.; Ceci, E.; Mazzetti, E.; Casagrande, C.; Montalbani, E.; Businelli, S.; Mariani, T.; Mugnaioli, P.; Cenci, G.; et al. Legionella survey in the plumbing system of a sparse academic campus: A case study at the University of Perugia. Water
**2017**, 9, 662. [Google Scholar] [CrossRef] - Puust, R.; Kapelan, Z.; Savic, D.A.; Koppel, T. A review of methods for leakage management in pipe networks. Urban Water J.
**2010**, 7, 25–45. [Google Scholar] [CrossRef] - O’Day, D.K. Organization and analyzing leak and break data for making main replacement decisions. J. Am. Water Work. Assoc.
**1982**, 74, 588–594. [Google Scholar] [CrossRef] - Colombo, A.F.; Lee, P.; Karney, B.W. A selective literature review of transient-based leak detection methods. J. Hydro-Environ. Res.
**2009**, 2, 212–227. [Google Scholar] [CrossRef] - Ferrante, M.; Brunone, B. Pipe system diagnosis and leak detection by unsteady-state tests. 1. Harmonic analysis. Adv. Water Resour.
**2003**, 26, 95–105. [Google Scholar] [CrossRef] - Ferrante, M.; Brunone, B. Pipe system diagnosis and leak detection by unsteady-state tests. 2. Wavelet analysis. Adv. Water Resour.
**2003**, 26, 107–116. [Google Scholar] [CrossRef] - Soares, A.K.; Covas, D.I.C.; Reis, L.F.R. Leak detection by inverse transient analysis in an experimental PVC pipe system. J. Hydroinform.
**2011**, 13, 153–166. [Google Scholar] [CrossRef] - Covas, D.; Ramos, H. Hydraulic transients used for leakage detection in water distribution systems. In Proceedings of the 4th International Conferene on Water Pipeline Systems, York, UK, 28–30 March 2001. [Google Scholar]
- Perez, R.; Sanz, G.; Puig, V.; Quevedo, J.; Escofet, M.A.C.; Nejjari, F.; Meseguer, J.; Cembrano, G.; Tur, J.M.M.; Sarrate, R. Leak localization in water networks: A model-based methodology using pressure sensors applied to a real network in Barcelona [applications of control]. IEEE Control Syst.
**2014**, 34, 24–36. [Google Scholar] - Pudar, R.S.; Liggett, J.A. Leaks in pipe networks. J. Hydraul. Eng.
**1992**, 118, 1031–1046. [Google Scholar] [CrossRef] - Pérez, R.; Puig, V.; Pascual, J.; Peralta, A.; Landeros, E.; Jordanas, L. Pressure sensor distribution for leak detection in Barcelona water distribution network. Water Sci. Technol. Water Supply
**2009**, 9, 715–721. [Google Scholar] [CrossRef] - Pérez, R.; Puig, V.; Pascual, J.; Quevedo, J.; Landeros, E.; Peralta, A. Methodology for leakage isolation using pressure sensitivity analysis in water distribution networks. Control Eng. Pract.
**2011**, 19, 1157–1167. [Google Scholar] [CrossRef] [Green Version] - Bort, C.M.G.; Righetti, M.; Bertola, P. Methodology for Leakage Isolation Using Pressure Sensitivity and Correlation Analysis in Water Distribution Systems. Procedia Eng.
**2014**, 89, 1561–1568. [Google Scholar] [CrossRef] [Green Version] - Lima, G.M.; Brentan, B.M.; Manzi, D.; Luvizotto, E. Metamodel for nodal pressure estimation at near real-time in water distribution systems using artificial neural networks. J. Hydroinform.
**2018**, 20, 486–496. [Google Scholar] [CrossRef] - Rathi, S.; Gupta, R. Sensor Placement Methods for Contamination Detection in Water Distribution Networks: A Review. Procedia Eng.
**2014**, 89, 181–188. [Google Scholar] [CrossRef] [Green Version] - Maier, H.R.; Kapelan, Z.; Kasprzyk, J.; Kollat, J.; Matott, L.S.; Cunha, M.C.; Dandy, G.C.; Gibbs, M.S.; Keedwell, E.; Marchi, A.; et al. Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions. Environ. Model. Softw.
**2014**, 62, 271–299. [Google Scholar] [CrossRef] [Green Version] - Zhang, W.-J.; Xie, X.-F. DEPSO: Hybrid particle swarm with differential evolution operator. In Proceedings of the 2003 IEEE International Conference on Systems, Man and Cybernetics, Washington, DC, USA, 5–8 October 2003; Volume 4, pp. 3816–3821. [Google Scholar]
- Giustolisi, O.; Savic, D.; Kapelan, Z. Pressure-Driven Demand and Leakage Simulation for Water Distribution Networks. J. Hydraul. Eng.
**2008**, 134, 626–635. [Google Scholar] [CrossRef] [Green Version] - Debiasi, S.; Bort, C.M.G.; Bosoni, A.; Bertola, P.; Righetti, M. Influence of Hourly Water Consumption in Model Calibration for Leakage Detection in a WDS. Procedia Eng.
**2014**, 70, 467–476. [Google Scholar] [CrossRef] [Green Version] - Rossman, L.A. EPANET 2: Users Manual; U.S. Environmental Protection Agency: Washington, DC, USA, 2000.
- Das, S.; Abraham, A.; Chakraborty, U.K.; Konar, A. Differential Evolution Using a Neighborhood-Based Mutation Operator. Trans. Evol. Comput.
**2009**, 13, 529–553. [Google Scholar] [CrossRef] - Clerc, M.; Kennedy, J. The particle swarm—Explosion, stability, and convergence in a multidimensional complex space. IEEE Trans. Evol. Comput.
**2002**, 6, 58–73. [Google Scholar] [CrossRef] - Schutte, J.F.; Groenwold, A.A. A Study of Global Optimization Using Particle Swarms. J. Glob. Optim.
**2005**, 31, 93–108. [Google Scholar] [CrossRef] [Green Version]

**Figure 1.**Apulian network layout with the leaking nodes and the correspondent emitter coefficients highlight in red.

**Figure 2.**Box plots of hourly water consumptions (l/h) of the two Italian municipalities: Cloz (

**a**) and Coredo (

**b**). Weights (adimensional) are used for the definition of the target function (

**c**).

**Figure 7.**Convergence plot of the differential evolutive particle swarm optimization (DEPSO)-based optimization (

**top left panel**), identified emitter coefficients and reference values of known leakages (

**top right panel**), values of emitter coefficients across the last population (

**lower panel**).

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## Share and Cite

**MDPI and ACS Style**

Righetti, M.; Bort, C.M.G.; Bottazzi, M.; Menapace, A.; Zanfei, A.
Optimal Selection and Monitoring of Nodes Aimed at Supporting Leakages Identification in WDS. *Water* **2019**, *11*, 629.
https://doi.org/10.3390/w11030629

**AMA Style**

Righetti M, Bort CMG, Bottazzi M, Menapace A, Zanfei A.
Optimal Selection and Monitoring of Nodes Aimed at Supporting Leakages Identification in WDS. *Water*. 2019; 11(3):629.
https://doi.org/10.3390/w11030629

**Chicago/Turabian Style**

Righetti, Maurizio, Carlos Maximiliano Giorgio Bort, Michele Bottazzi, Andrea Menapace, and Ariele Zanfei.
2019. "Optimal Selection and Monitoring of Nodes Aimed at Supporting Leakages Identification in WDS" *Water* 11, no. 3: 629.
https://doi.org/10.3390/w11030629