Technical Notes
May 11, 2020

Geospatial and Hydraulic Simulation to Design District Metered Areas for Large Water Distribution Networks

Publication: Journal of Water Resources Planning and Management
Volume 146, Issue 7

Abstract

Water distribution systems can be divided into district metered areas (DMAs) to improve their management. DMAs are individual service regions within a distribution system that have a defined set of supply sources, and hydraulic and quality parameters can be controlled at their entrances. Designing DMA configurations to meet management goals, such as pressure or demand uniformity, is challenging because of the unique topological conditions of each water system, the variability in water demand required by each geographic zone, and the high interconnection of pipes within water systems. This research couples geospatial analysis with a hydraulic simulator to design DMAs for a highly constrained large water network. Solutions specify modifications of valve settings and tank operations and the addition of new pipes to the network. The performance of the DMA design is evaluated based on objectives to minimize implementation cost, demand similarity, pressure uniformity, and water age and constraints related to pressure and number of entrances per district. The methodology is applied to design DMAs for E-Town, a large water system that was presented at the Battle of Water Networks District Metered Areas. The coupled approach identifies DMA designs that satisfy constraints with satisfactory performance for multiple objectives.

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Data Availability Statement

The edited E-Town input files for the rainy and the dry seasons and the code are available by request to the corresponding author.

Acknowledgments

This research was supported in part by the Government of Ecuador through the Secretaría Nacional de Educación Superior, Ciencia, Tecnología e Innovación (SENESCYT).

References

Alhimiary, H. A. A., and R. H. S. Alsuhaily. 2007. “Minimizing leakage rates in water distribution networks through optimal valves settings.” In Proc., World Environmental and Water Resources Congress 2007. Reston, VA: ASCE.
Armand, H., I. Stoianov, and N. Graham. 2018. “Impact of network sectorisation on water quality management.” J. Hydroinf. 20 (2): 424–439. https://doi.org/10.2166/hydro.2017.072.
Bentley. 2017. WaterGEMS v8i. Waterbury, CT: Bentley.
Brentan, B., E. Campbell, T. Goulart, D. Manzi, G. Meirelles, M. Herrera, J. Izquierdo, and E. Luvizotto. 2018. “Social network community detection and hybrid optimization for dividing water supply into district metered areas.” J. Water Resour. Plann. Manage. 144 (5): 04018020. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000924.
Brentan, B. M., E. Campbell, G. L. Meirelles, E. Luvizotto, and J. Izquierdo. 2017. “Social network community detection for DMA creation: Criteria analysis through multilevel optimization.” Math. Prob. Eng. 2017: 1–12. https://doi.org/10.1155/2017/9053238.
De Paola, F., N. Fontana, E. Galdiero, M. Giugni, D. Savic, and G. S. Degli Uberti. 2014. “Automatic multi-objective sectorization of a water distribution network.” Procedia Eng. 89 (Jan): 1200–1207. https://doi.org/10.1016/j.proeng.2014.11.250.
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, C. Giudicianni, R. Greco, and G. F. Santonastaso. 2016. “Water supply network partitioning based on weighted spectral clustering.” Complex Networks Appl. V 689: 797–807. https://doi.org/10.1007/978-3-319-50901-3_63.
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.
Di Nardo, A., M. Di Natale, G. F. Santonastaso, and S. Venticinque. 2013. “An automated tool for smart water network partitioning.” Water Resour. Manage. 27 (13): 4493–4508. https://doi.org/10.1007/s11269-013-0421-1.
Eliades, D. G., M. Kyriakou, S. Vrachimis, and M. M. Polycarpou. 2016. “EPANET-MATLAB toolkit: An open-source software for interfacing EPANET with MATLAB.” In Proc., 14th Int. Conf. on Computing and Control for the Water Industry. Exeter, UK: CCWI.
Ferrari, G., D. Savic, and G. Becciu. 2014. “Graph-theoretic approach and sound engineering principles for design of district metered areas.” J. Water Resour. Plann. Manage. 140 (12): 4014036. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000424.
Galdiero, E., F. De Paola, N. Fontana, M. Giugni, and D. Savic. 2015. “Decision support system for the optimal design of district metered areas.” J. Hydroinf. 18 (1): 49–61. https://doi.org/10.2166/hydro.2015.023.
Gilbert, D., E. Abraham, I. Montalvo, and O. Piller. 2017. “Iterative multistage method for a large water network sectorization into DMAs under multiple design objectives.” J. Water Resour. Plann. Manage. 143 (11): 04017067. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000835.
Gomes, R., J. Sousa, J. Muranho, and A. S. Marques. 2015. “Different design criteria for district metered areas in water distribution networks.” J. Hydroinf. 119 (Jan): 1221–1230. https://doi.org/10.1016/j.proeng.2015.08.981.
Grayman, W. M., R. Murray, and D. A. Savic. 2009. “Effects of redesign of water systems for security and water quality factors.” In Proc., World Environmental and Water Resources Congress, 1–11. Reston, VA: ASCE. https://doi.org/10.1061/41036%28342%2949.
Herrera, M. 2011. “Improving water network management by efficient division into supply clusters.” Ph.D. thesis, Departamento de Ingeniería Hidráulica y Medio Ambiente, Universitat Politecnica de Valencia.
Liu, J., and R. Han. 2018. “Spectral clustering and multicriteria decision for design of district metered areas.” J. Water Resour. Plann. Manage. 144 (5): 1–11. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000916.
MacDonald, G., and C. D. Yates. 2005. “DMA design and implementation, a North American context.” In Proc., Leakage 2005, Specialized Conf. London: International Water Association.
Marchi, A., et al. 2014. “Battle of the Water Networks II.” J. Water Resour. Plann. Manage. 140 (7): 04014009. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000378.
Martinez Solano, J., P. L. Iglesias Rey, D. Mora Melia, and J. V. Ribelles Aguilar. 2018. “Combining skeletonization, setpoint curves, and heuristic algorithms to define district metering areas in the Battle of Water Networks District Metering Areas.” J. Water Resour. Plann. Manage. 144 (6): 1–7. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000938.
Morrison, J., S. Tooms, and D. Rogers. 2007. “District metered areas guidance notes.” In Proc., Int. Water Assoc. London: IWA.
Ostfeld, A., et al. 2008. “The Battle of the Water Sensor Networks (BWSN): A design.” J. Water Resour. Plann. Manage. 134 (6): 556–568. https://doi.org/10.1061/(ASCE)0733-9496(2008)134:6(556).
Perelman, L., and A. Ostfeld. 2011. “Topological clustering for water distribution systems analysis.” Environ. Modell. Software 26 (7): 969–972. https://doi.org/10.1016/j.envsoft.2011.01.006.
Pesantez, J. E., E. Z. Berglund, and G. Mahinthakumar. 2019. “Multiphase procedure to design district metered areas for water distribution networks.” J. Water Resour. Plann. Manage. 145 (8): 04019031. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001095.
Rahman, A., and Z. Y. Wu. 2018. “Multistep simulation-optimization modeling approach for partitioning water distribution system into district meter areas.” J. Water Resour. Plann. Manage. 144 (5): 04018018. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000927.
Rahmani, F., K. Muhammed, K. Behzadian, and R. Farmani. 2018. “Optimal operation of water distribution systems using a graph theory-based configuration of district metered areas.” J. Water Resour. Plann. Manage. 144 (8): 04018042. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000941.
Saldarriaga, J., J. Bohorquez, D. Celeita, L. Vega, D. Paez, D. Savic, G. Dandy, Y. Filion, W. Grayman, and Z. Kapelan. 2019. “Battle of the Water Networks District Metered Areas.” J. Water Resour. Plann. Manage. 145 (4): 04019002. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001035.
Saldarriaga, J., J. Bohorquez, D. Savic, W. Grayman, Y. Filion, Z. Kapelan, G. Dandy, D. Paez, and C. Jurado. 2016. “Battle of Water Networks DMAs.” In Proc., WDSA Conf. 2016, Amsterdam, Netherlands: Elsevier.
Salomons, E., O. Skulovich, and A. Ostfeld. 2017. “Battle of Water Networks DMAs: Multistage design approach.” J. Water Resour. Plann. Manage. 143 (10): 04017059. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000830.
Scarpa, F., A. Lobba, and G. Becciu. 2016. “Elementary DMA design of looped water distribution networks with multiple sources.” J. Water Resour. Plann. Manage. 142 (6): 4016011. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000639.
Scibetta, M., F. Boano, R. Revelli, and L. Ridolfi. 2014. “Community detection as a tool for district metered areas identification.” Procedia Eng. 70 (Jan): 1518–1523. https://doi.org/10.1016/j.proeng.2014.02.167.
Sela Perelman, L., M. Allen, A. Preis, M. Iqbal, and A. J. Whittle. 2015. “Automated sub-zoning of water distribution systems.” Environ. Modell. Software 65: 1–14. https://doi.org/10.1016/j.envsoft.2014.11.025.
USEPA. 2008. EPANET 2.1. Cincinnati, OH: USEPA.
Water Research Centre. 1980. “Report 26 leakage control policy & practice.” Accessed December 12, 2016. http://dwi.defra.gov.uk/research/completed-research/reports/dwi0190.pdf.
Zhang, Q., Z. Y. Wu, M. Zhao, J. Qi, Y. Huang, and H. Zhao. 2017. “Automatic partitioning of water distribution networks using multiscale community detection and multiobjective optimization.” J. Water Resour. Plann. Manage. 143 (9): 04017057. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000819.

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Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 146Issue 7July 2020

History

Received: Sep 25, 2019
Accepted: Feb 7, 2020
Published online: May 11, 2020
Published in print: Jul 1, 2020
Discussion open until: Oct 11, 2020

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Authors

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Ph.D. Student, Dept. of Civil, Construction and Environmental Engineering, North Carolina State Univ., Raleigh 27695, NC (corresponding author). ORCID: https://orcid.org/0000-0002-1537-6006. Email: [email protected]
Emily Zechman Berglund, Ph.D., M.ASCE
Professor, Dept. of Civil, Construction and Environmental Engineering, North Carolina State Univ., Raleigh 27695, NC.
G. Mahinthakumar, Ph.D., M.ASCE
Professor, Dept. of Civil, Construction and Environmental Engineering, North Carolina State Univ., Raleigh 27695, NC.

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