Multiphase Procedure for Identifying District Metered Areas in Water Distribution Networks Using Community Detection, NSGA-III Optimization, and Multiple Attribute Decision Making
Publication: Journal of Water Resources Planning and Management
Volume 148, Issue 8
Abstract
The formation of district metered areas (DMAs) is an efficient strategy for the operation and management of water distribution networks (WDNs). Identifying the most suitable DMA layout is a challenging task for water utilities as it may involve several aspects that need to be addressed simultaneously. This study presents a novel multiphase approach for optimal DMA design that involves: (1) a combination of a fast Newman algorithm (FNA) to identify initial clusters; (2) a nondominated sorting genetic algorithm (NSGA-III) to obtain a set of good DMA configurations while considering several objectives simultaneously; and (3) a multiple attribute decision-making method (MADM) to find the best suited DMA configuration from a set of feasible alternative solutions based on the preference given to each objective. The proposed methodology is applied to two networks including a large benchmark network and a real-life water network. Four problem objectives out of several possible objectives were considered. These are: (1) the total cost of implementation (economic criterion); (2) the pressure deviation (hydraulic criterion); (3) a resilience index (energy criterion); and (4) the total demand shortfall (customer satisfaction criterion). Finally, a multiple attribute decision-making tool [i.e., a simple additive weighing (SAW) method] was used to arrive at a unique solution out of a set of feasible solutions. Results show that the proposed methodology can effectively identify DMAs while considering multiple objectives.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request, including Exnet Network and Apulian Network models in INP EPANET format and generated C code.
References
Brentan, B., S. Carpitella, J. Izquierdo, E. Luvizotto, and G. Meirelles. 2021. “District metered area design through multicriteria and multiobjective optimization.” Math. Methods Appl. Sci. 45 (6): 3254–3271. https://doi.org/10.1002/mma.7090.
Bui, K., M. S. Marlim, and D. Kang. 2020. “Water network partitioning into district metered areas: A state-of-the-art review.” Water 12 (4): 1002. https://doi.org/10.3390/w12041002.
Bui, K., M. S. Marlim, and D. Kang. 2021. “Optimal design of district metered areas in a water distribution network using coupled self-organizing map and community structure algorithm.” Water 13 (6): 836. https://doi.org/10.3390/w13060836.
Campbell, E., J. Izquierdo, I. Montalvo, A. Ilaya-Azya, R. Perez-Garci, and M. Tavera. 2015. “A flexible methodology to sectorize water supply networks based on social network theory concepts and multi-objective optimization.” J. Hydroinf. 18 (1): 62–76. https://doi.org/10.2166/hydro.2015.146.
Ciaponi, C., E. Creaco, A. Di Nardo, M. Di Natale, C. Giudicianni, D. Musmarra, and G. Santonastaso. 2019. “Reducing impacts of contamination in water distribution networks: A combined strategy based on network partitioning and installation of water quality sensors.” Water 11 (6): 1315. https://doi.org/10.3390/w11061315.
Clauset, A., M. E. J. Newman, and C. Moore. 2004. “Finding community structure in very large networks.” Phys. Rev. 70 (6): 3. https://doi.org/10.1103/PhysRevE.70.066111.
Creaco, E., M. Cunha, and M. Franchini. 2019. “Using heuristic techniques to account for engineering aspects in modularity-based WDN partitioning algorithm.” J. Water Resour. Plann. Manage. 145 (12): 04019062. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001129.
Creaco, E., M. Franchini, and E. Todini. 2016. “Generalized resilience and failure indices for use with pressure-driven modeling and leakage.” J. Water Resour. Plann. Manage. 142 (8): 04016019. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000656.
Creaco, E., and H. Haidar. 2019. “Multiobjective optimization of control valve installation and DMA creation for reducing leakage in water distribution networks.” J. Water Resour. Plann. Manage. 145 (10): 04019046. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001114.
Deb, K., and H. Jain. 2014. “An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, Part I: Solving problems with box constraints.” IEEE Trans. Evol. Comput. 18 (4): 577–601. https://doi.org/10.1109/TEVC.2013.2281535.
Diao, K., Y. Zhou, and W. Rauch. 2013. “Automated creation of district metered area boundaries in water distribution systems.” J. Water Resour. Plann. Manage. 139 (2): 184–190. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000247.
Di Nardo, A., M. Di Natale, G. F. Santonastaso, V. G. Tzatchkov, and V. H. Alcocer-Yamanaka. 2014. “Water network sectorization based on graph theory and energy performance indices.” J. Water Resour. Plann. Manage. 140 (5): 620–629. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000364.
Fishburn, P. C. 1967. “Additive utilities with incomplete product sets: Application to priorities and assignments.” Oper. Res. 15 (3): 537–542. https://doi.org/10.1287/opre.15.3.537.
Giudicianni, C., M. Herrera, A. Di Nardo, and K. Adeyeye. 2020. “Automatic multiscale approach for water networks partitioning into dynamic district metered areas.” Water Resour. Manage. 34 (2): 835–848. https://doi.org/10.1007/s11269-019-02471-w.
Giustolisi, O., L. Ridolfi, and L. Berardi. 2015. “General metrics for segmenting infrastructure networks.” J. Hydroinf. 17 (4): 505–517. https://doi.org/10.2166/hydro.2015.102.
Gupta, R., and P. R. Bhave. 1996. “Comparison of methods for predicting deficient network performance.” J. Water Resour. Plann. Manage. 122 (3): 214–217. https://doi.org/10.1061/(ASCE)0733-9496(1996)122:3(214).
Hajebi, S., E. Roshani, N. Cardazo, S. Barrett, A. Clarke, and S. Clarke. 2015. “Water distribution network sectorisation using graph theory and many-objective optimization.” J. Hydroinf. 18 (1): 77–95. https://doi.org/10.2166/hydro.2015.144.
Hu, C., L. Dai, X. Yan, W. Gong, X. Liu, and L. Wang. 2020. “Modified NSGA-III for sensor placement in water distribution system.” Inf. Sci. 509 (Jan): 488–500. https://doi.org/10.1016/j.ins.2018.06.055.
Jadhao, R. D., and R. Gupta. 2018. “Calibration of water distribution network of the Ramnagar zone in Nagpur city using online pressure and flow data.” Appl. Water Sci. 8 (29): 672–673. https://doi.org/10.1007/s13201-018-0672-3.
Jafari, H., S. Nazif, and T. Rajaee. 2021. “A multi-objective optimization method based on NSGA-III for water quality sensor placement with the aim of reducing potential of important nodes contamination.” Water Supply 2021 (Jul): 14. https://doi.org/10.2166/ws.2021.222.
Laucelli, D., A. Simone, L. Berardi, and O. Giustolisi. 2017. “Optimal design of district metering areas for the reduction of leakages.” J. Water Resour. Plann. Manage. 143 (3): 04017017. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000768.
Liu, J., and R. Han. 2018. “Spectral clustering and multicriteria decision for design of district metered areas.” J. Water Resour. Plann. Manage. 144 (5): 04018013. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000916.
Liu, J., and K. Lansey. 2020. “Multiphase DMA design methodology based on graph theory and many-objective optimization.” J. Water Resour. Plann. Manage. 146 (8): 04020068. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001267.
Morrison, J. 2004. “Managing leakage by district metered areas: A practical approach.” Water 21 (6): 44–46.
Mu, T., Y. Lu, H. Tan, H. Zhang, and C. Zheng. 2021. “Random walks partitioning and network reliability assessing in water distribution system.” Water Resour. Manage. 35 (18): 2325–2341. https://doi.org/10.1007/s11269-021-02793-8.
Pesantez, J., E. Berglund, and G. Mahinthakumar. 2019. “Multiphase procedure to design district metered areas for water distribution networks.” J. Water Resour. Plann. Manage. 148 (8): 04019031. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001095.
Rao, V. R. 2007. Decision making in the manufacturing environment: Using graph theory and fuzzy multiple attribute decision making methods. Berlin: Springer.
Saldarriaga, J., J. Bohorquez, D. Celeita, L. Vega, D. Paez, D. Savic, G. Dandy, Y. Filion, W. Grayman, and Z. Kapelan. 2019. “Battle of water networks district metered areas.” J. Water Resour. Plann. Manage. 145 (4): 04019002. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001035.
Spedaletti, S., M. Rossi, G. Comodi, L. Cioccolanti, D. Salvi, and M. Lorenzetti. 2021. “Improvement of the energy efficiency in water systems through water losses reduction using the District Metered Area (DMA) approach.” Sustainable Cities Soc. 7 (5): 103525. https://doi.org/10.1016/j.scs.2021.103525.
Vasilic, Z., M. K. Stanic, D. Prodanovic, and B. Babic. 2020. “Uniformity and heuristics—Based DeNSE method for sectorization of water distribution networks.” J. Water Resour. Plann. Manage. 146 (3): 04019079. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001163.
Wang, Q., M. Guidolin, D. Savic, and Z. Kapelan. 2015. “Two-objective design of benchmark problems of a water distribution system via MOEAs: Towards the best-known approximation of the true Pareto front.” J. Water Resour. Plann. Manage. 141 (3): 04014060. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000460.
Yao, H., T. Zhang, Y. Shao, T. Yu, and I. E. Lima Neto. 2020. “Improved modularity-based approach for partition of water distribution networks.” Urban Water J. 18 (2): 69–78. https://doi.org/10.1080/1573062X.2020.1857801.
Zeidan, M., P. Li, and A. Ostfeld. 2021. “DMA segmentation and multiobjective optimization for trading off water age, excess pressure, and pump operational cost in water distribution systems.” J. Water Resour. Plann. Manage. 147 (4): 04021006. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001344.
Zhang, Q., Y. Wu, M. Q. J. Zhao, Y. Huang, and H. Zhao. 2017. “Automatic partitioning of water distribution networks using multiscale community detection and multi objective optimization.” J. Water Resour. Plann. Manage. 143 (9): 04017057. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000819.
Zhang, T., H. Yao, S. Chu, T. Yu, and Y. Shao. 2021. “Optimized DMA partition to reduce background leakage rate in water distribution networks.” J. Water Resour. Plann. Manage. 147 (10): 04021071. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001465.
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History
Received: Nov 2, 2021
Accepted: Apr 14, 2022
Published online: May 30, 2022
Published in print: Aug 1, 2022
Discussion open until: Oct 30, 2022
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