Losses in water distribution networks – a bibliometric review: general aspects and optimization

Authors

DOI:

https://doi.org/10.33448/rsd-v10i12.20659

Keywords:

Water distribution networks; Water losses; Water loss control; Leakage water.

Abstract

The research carried out in the water distribution networks is of great importance, given the social, environmental and economic impacts that have occurred due to the scarcity of water resources. Therefore, any scientific effort shown in research that studies water distribution systems is of great relevance. Techniques such as mathematical modeling, computer simulation and statistical methods are widely used in order to obtain more reliable answers, whether for the identification of the current situation of the network, as well as for the prediction of scenarios, failure events, increased demand, etc. The objective of this work is to carry out a bibliometric analysis to identify the state of the art of research that addresses the theme of water distribution networks for the control and reduction of the volume of water losses, which will serve as a guide for future works to to structure itself in the most relevant researches that study the theme. The developed methodology was able to analyze a metadata composed of 4188 documents taken from the Web of Science journals database. As a result, a geographical view of the theme was obtained, pointing out the main countries, affiliations, journals and researchers, as well as pointing out the main documents and relevance of the theme. It can be concluded after the results obtained that bibliometric analysis is an important tool for obtaining the state of the art. With it is possible to have a better understanding of the current situation in the development of research, familiarizing researchers with what is most current and relevant.

References

Alperovits, E., & Shamir, U. (1977). Design of optimal water distribution systems. Water resources research. 13(6), 885-900, 10.1029/WR013I006P00885

Araujo, L. S., Ramos, H., & Coelho, S. T. (2006). Pressure control for leakage minimisation in water distribution systems management. Water resources management, 133-149, 10.1007/s11269-006-4635-3

Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of informetrics. 11(4), 959-975, 10.1016/j.joi.2017.08.007

Cobo, M. J. et al. (2011). An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the fuzzy sets theory field. Journal of Informetrics. 5(11), 146-166, 10.1016/j.joi.2010.10.002

Dandy, G. C., Simpson, A. R., & Murphy, L. J. (1996). An improved genetic algorithm for pipe network optimization. Water resources research. 32(2), 449-458, 10.1029/95WR02917

Douterelo, I., Sharpe, R. L., & Boxall, J. B. (2013). Influence of hydraulic regimes on bacterial community structured and composition in na experimental drinking water distribution system. Water research. 47(2), 503-516, 10.1016/j.watres.2012.09.053

Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences of the United States of America. 102(46), 10.1073/pnas.0507655102

Kerwin, S., & Adey, B. T. (2020) Optimal intervention planning: A bottom-up approach to renewing aging water infrastructure. Journal of water resources planning and management, 146(7), 10.1061/(ASCE)WR.1943-5452.0001217

Liu, J., & Lansey, K. E. (2020). Multiphase DMA design methodology based on graph theory and many-objective optimization. Journal of water resources planning and management, 146(8), 10.1061/(ASCE)WR.1943-5452.0001267

Lotka, A. J. (1926). The frequency distribution of scientific productivity. Journal of the Washington academy of sciences, 16(12), 317-323. https://www.jstor.org/stable/24529203

Maier, H. R. et al. (2003). Ant Colony Optimization for Design of Water Distribution Systems. Journal of water resources planning and management, 129(3), 10.1061/(ASCE)0733-9496(2003)129:3(200)

Ostfeld, A., & Elad, S. (2004). Optimal layout of early warning detection stations for water distribution systems security. Journal of water resources planning and management, 130(5), 377-385, 10.1061/(ASCE)0733-9496(2004)130:5(377)

Ostfeld, A. et al. (2007). The battle of the water sensor networks (BWSN): A design challenge for engineers and algorithms. Journal of water resources planning and management, 134(6), 556-569, 10.1061/(ASCE)0733-9496(2008)134:6(556)

Prasad, T., & Park, N. (2004). Multiobjective genetic algorithms for design of water distribution networks. Journal of water resources planning and management, 130(1), 73-82, 10.1061/(ASCE)0733-9496(2004)130:1(73)

Rossman, L. A., Clark, R. M., & Grayman, W. M. (1994). Modeling chlorine residuals in drinking-water distribution systems. Journal of environmental engineering, 120(4), 10.1061/(ASCE)0733-9372(1994)120:4(803)

Shamseer, L. et al. (2015). Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: Elaboration and explanation. Research methods & reporting, https://doi.org/10.1136/bmj.g7647

Shekofteh, M. R. et al. (2020). Theoretical idea for identification of leakage areas in virtual district metered areas of water distribution networks using the artificial neural network. Water resources research, 16(3), 47-62. https://www.sid.ir/EN/JOURNAL/VIEWPAPER.ASPX?ID=831357

Simpson, A. R., Dandy, G. C., & Murphy, L. J. (1994). Genetic algorithms compared to other techniques for pipe optimization. Journal of water resources planning and management, 120(4), 10.1061/(ASCE)0733-9496(1994)120:4(423)

Wickham, H. (2021). A fast, consistent tool for working with data frame like objects, both in memory and out of memory. https://cran.r-project.org/web/packages/dplyr/index.html

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Published

26/09/2021

How to Cite

ALMEIDA, E. P. de .; SILVA, F. das G. B. da .; VALERIO, V. E. de M. . Losses in water distribution networks – a bibliometric review: general aspects and optimization. Research, Society and Development, [S. l.], v. 10, n. 12, p. e407101220659, 2021. DOI: 10.33448/rsd-v10i12.20659. Disponível em: https://www.rsdjournal.org/index.php/rsd/article/view/20659. Acesso em: 26 apr. 2024.

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Section

Engineerings