Skip to main content

Algebraic Tools and New Local Indices for Water Networks:Some Numerical Examples

  • Conference paper
  • First Online:
Numerical Computations: Theory and Algorithms (NUMTA 2019)

Abstract

Very recently, a new set of local indices for urban water networks has been proposed by the authors, within a mathematical framework which is unprecedented for this field, as far as we know. Such indices can be viewed as the “elementary bricks” that can be used to construct as many global (and local) indices as one needs or wants, where the glue, or mortar, is given by the mathematical tools of the aforementioned framework coming mostly from linear algebra and vector analysis. In this paper, after a brief description of the setting as explained above, we recover, through new formulations, some well-known global indicators like the resilience index \(I_r\) introduced by Todini. Then we also give some explicit numerical computations and examples, sometimes with the help of the hydraulic software EPANET 2.0.12.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

Notes

  1. 1.

    The linear algebra foundation, in this case, is clear even from the name: MATrix LABoratory.

  2. 2.

    Our value for \(I_{r}\) is very close to 0.47, the one computed in [21, Tab. 3].

  3. 3.

    The result, this time, agrees perfectly with 0.48 calculated in [21, Tab. 3].

  4. 4.

    Being the two WDNs so similar and being dimension and complexity so small, a “criticality” of one WDN with respect to the other must obviously be understood in an appropriate sense...

References

  1. Alperovits, E., Shamir, U.: Design of optimal water distribution systems. Water Resour. Res. 13, 885–900 (1977)

    Article  Google Scholar 

  2. Bonora, M., Caldarola, F., Muranho, J., Sousa, J., Maiolo, M.: Numerical experimentations for a new set of local indices of a water network. In: Sergeyev, Y. D. and Kvasov, D. E. (eds.) Proceedings of the 3rd International Conference “Numerical Computations: Theory and Algorithms”. Lecture Notes in Computer Science. vol. 11973. Springer, New York (2020). https://doi.org/10.1007/978-3-030-39081-5_42

  3. Caldarola, F., Maiolo, M.: Local indices within a mathematical framework for urban water distribution systems. Cogent Eng. 6, 1643057 (2019). https://doi.org/10.1080/23311916.2019.1643057

    Article  Google Scholar 

  4. Carini, M., Maiolo, M., Pantusa, D., Chiaravalloti, F., Capano, G.: Modelling and optimization of least-cost water distribution networks with multiple supply sources and users. Ricerche di Matematica 67(2), 465–479 (2018)

    Article  MathSciNet  Google Scholar 

  5. Di Nardo, A., Di Natale, M.: A heuristic design support methodology based on graph theory for district metering of water supply networks. Eng. Optim. 12, 193–211 (2011)

    Article  Google Scholar 

  6. Di Nardo, A., Di Natale, M.: A design support metodology metodology for district metering of water supply networks. Water Distrib. Syst. Anal. 2010, 870–887 (2012)

    Google Scholar 

  7. Di Nardo, A., et al.: Redundancy features of water distribution systems. Proc. Eng. 186, 412–419 (2017)

    Article  Google Scholar 

  8. Di Nardo, A., Di Natale, M., Santonastaso, G.: A comparison between different techniques for water network sectorization. Water Sci. Technol.: Water Supply 14, 961–970 (2014)

    Google Scholar 

  9. Di Nardo, A., Di Natale, M., Santonastaso, G., Tzatchkov, V., Alcocer-Yamanaka, V.: Water network sectorization based on graph theory and energy performance indices. J. Water Resour. Plann. Manage. 140, 620–629 (2014)

    Article  Google Scholar 

  10. Di Nardo, A., Di Natale, M., Santonastaso, G., Tzatchkov, V., Alcocer-Yamanaka, V.: Performance indices for water network partitioning and sectorization. Water Sci. Technol.: Water Supply 15, 499–509 (2015)

    Google Scholar 

  11. Horn, R., Johnson, C.: Matrix Analysis. Cambridge University Press, Cambridge (2012)

    Book  Google Scholar 

  12. Maiolo, M., Carini, M., Capano, G., Piro, P.: Synthetic sustainability index (SSI) based on life cycle assessment approach of low impact development in the Mediterranean area. Cogent Eng. 4, 1410272 (2017)

    Article  Google Scholar 

  13. Maiolo, M., Martirano, G., Morrone, P., Pantusa, D.: Assessment criteria for a sustainable management of water resources. Water Pract. Technol. 1(1): wpt2006012 (2006). https://doi.org/10.2166/wpt.2006.012

  14. Maiolo, M., Mendicino, G., Pantusa, D., Senatore, A.: Optimization of drinking water distribution systems in relation to the effects of climate change. Water 9, 803 (2017). https://doi.org/10.3390/w9100803

    Article  Google Scholar 

  15. Maiolo, M., Pantusa, D.: A methodological proposal for the evaluation of potable water use risk. Water Pract. Technol. 10, 152–163 (2015)

    Article  Google Scholar 

  16. Maiolo, M., Pantusa, D.: An optimization procedure for the sustainable management of water resources. Water Sci. Technol.: Water Supply 16, 61–69 (2016). https://doi.org/10.2166/ws.2015.114

    Article  Google Scholar 

  17. Maiolo, M., Pantusa, D.: Combined reuse of wastewater and desalination for the management of water systems in conditions of scarcity. Water Ecol. 72, 116–126 (2017)

    Google Scholar 

  18. Maiolo, M., Pantusa, D.: Infrastructure vulnerability index of drinking water supply systems to possible terrorist attacks. Cogent Eng. 5, 1456710 (2018)

    Google Scholar 

  19. Maiolo, M., Pantusa, D., Chiaravalloti, F., Carini, M., Capano, G., Procopio, A.: A new vulnerability measure for water distribution network. Water 10, 1005 (2019)

    Article  Google Scholar 

  20. Shin, S., et al.: A systematic review of quantitative resilience measures for water infrastructure systems. Water 10, 164 (2018)

    Article  Google Scholar 

  21. Todini, E.: Looped water distribution networks design using a resilience index based on heuristic approach. Urban Water 12, 115–122 (2000)

    Article  Google Scholar 

Download references

Aknowledgments

This work is partially supported by the research projects “origAMI, Original Advanced Metering Infrastructure”, CUP J48C17000170006, POR Calabria FESR-FSE 2014–2020, and “I-BEST”, CUP B28I17000290008, PON “Innovazione e competitività” 2014/2020 MiSE Horizon 2020.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mario Maiolo .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Caldarola, F., Maiolo, M. (2020). Algebraic Tools and New Local Indices for Water Networks:Some Numerical Examples. In: Sergeyev, Y., Kvasov, D. (eds) Numerical Computations: Theory and Algorithms. NUMTA 2019. Lecture Notes in Computer Science(), vol 11973. Springer, Cham. https://doi.org/10.1007/978-3-030-39081-5_44

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-39081-5_44

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-39080-8

  • Online ISBN: 978-3-030-39081-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics