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Losses in Water Distribution Systems: A Complexity Theory Perspective

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Abstract

Water Distribution Systems (WDSs) have losses, which are difficult to be eliminated due to the complex socio-technical nature of these systems. This paper presents a systematic review of the literature on losses in WDSs, which addresses two questions: which are the factors that influence the complexity of WDSs, having an impact on the losses of water? How do the methods used to control losses in WDSs account for complexity? We assumed that to be compatible with the nature of WDSs, the loss control methods should account for five attributes of complexity. Twenty-one factors that influence these attributes were identified from 49 selected papers, based on a content analysis. Non-linear interactions were the attribute most frequently accounted by the methods (36.5%), and none of the methods simultaneously accounted for all the five attributes. The review also supported the development of a model of the relationships between the factors that influence the complexity attributes. This model is a basis for the analysis of the impacts of actions for tackling losses.

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References

  • Abadia R, Rocamora C, Vera J (2012) Energy efficiency in irrigation distribution networks II: application. Biosyst Eng 111:398–411

    Article  Google Scholar 

  • Alkasseh JMA, Adlan MN, Abustan I (2013) Applying minimum night flow to estimate water loss using statistical modeling : a case study in Kinta Valley. Water Resources Management 27:1439–1455

    Article  Google Scholar 

  • Bengtsson M (2016) NursingPlus open how to plan and perform a qualitative study using content analysis. NursingPlus Open 2:8–14. Available at. https://doi.org/10.1016/j.npls.2016.01.001

    Article  Google Scholar 

  • Britton TC, Stewart RA, O’Halloran KR (2013) Smart metering: enabler for rapid and effective post meter leakage identification and water loss management. J Clean Prod 54:166–176. Available at:. https://doi.org/10.1016/j.jclepro.2013.05.018

    Article  Google Scholar 

  • Cheong LC (2003) Unaccounted for water and the economics of leak detection. In Water supply. pp. 2–7

  • Cilliers P (2002) Why we cannot know complex things completely. Emergence 4:77–84

    Article  Google Scholar 

  • Clegg C (2000) Socio-technical principles for system design. Appl Ergon 31:463–477

    Article  Google Scholar 

  • Covelli C, Cozzolino L, Cimorelli L, Della Morte R, Pianese D (2016) Optimal location and setting of PRVs in WDS for leakage minimization. Water Resour Manag 30:1803–1817

    Article  Google Scholar 

  • Dekker S (2003). Failure to adapt or adaptations that fail: contrasting models on procedures and safety. 34, pp. 233–238

  • Dekker S, Bergström J, Amer-Wåhlin I, Cilliers P (2012) Complicated, complex, and compliant: best practice in obstetrics. Cogn Tech Work 15:189–195. https://doi.org/10.1007/s10111-011-0211-6

    Article  Google Scholar 

  • Dey S, Lee S (2017) Reassure: requirements elicitation for adaptive socio-technical systems using repertory grid R. Inf Softw Technol 87:160–179

    Article  Google Scholar 

  • Dube E, Van Der Zaag P (2003) Analysing water use patterns for demand management : the case of the city of Masvingo, Zimbabwe. Phys Chem Earth 28:805–815

    Article  Google Scholar 

  • Farley M (2001). Leakage management and control. A best practice training manual. Available at: http://whqlibdoc.who.int/hq/2001/WHO_SDE_WSH_01.1_pp1-98.pdf

  • Gomes R, Marques ASA, Sousa J (2013) District metered areas design under different decision makers ’ options : cost analysis. Water Resour Manag 27:4527–4543

    Article  Google Scholar 

  • Grimmeisen F, Zemann M, Goeppert N, Goldscheider N (2016) Weekly variations of discharge and groundwater quality caused by intermittent water supply in an urbanized karst catchment. J Hydrol 537:157–170 Available at: http://www.sciencedirect.com/science/article/pii/S0022169416301500

    Article  Google Scholar 

  • Heracleous C, Kolios P, Panayiotou CG, Ellinas G, Polycarpou MM (2017) Hybrid systems modeling for critical infrastructures interdependency. Reliab Eng Syst Saf 165(March):89–101. Available at. https://doi.org/10.1016/j.ress.2017.03.028

    Article  Google Scholar 

  • Herrera M, Abraham E, Stoianov I (2016) A graph-theoretic framework for assessing the resilience of Sectorised water distribution networks. Water Resour Manag 30:1685–1699

    Article  Google Scholar 

  • Hunaidi O, Chu W, Wang A (2000) Detecting leaks. American Water Works Association 92(2):82–94

    Article  Google Scholar 

  • Kanakoudis V, Muhammetoglu H, Network WD (2014) Review urban water pipe networks management towards non-revenue water reduction : two case studies from Greece and Turkey. Clean Soil Air Water 42(1):880–892

    Article  Google Scholar 

  • Kim Y, Je S et al (2016) Robust leak detection and its localization using interval estimation for water distribution network. Computers and Chemical Engineering 92:1–17. Available at. https://doi.org/10.1016/j.compchemeng.2016.04.027

    Article  Google Scholar 

  • Liu J, Yu G (2014) Analysis of demand and leakage distributing uniformly along pipes. Procedia Engineering 89:603–612

    Article  Google Scholar 

  • Malm A, Moberg F, Rosén L, Pettersson TJR (2015) Cost-benefit analysis and uncertainty analysis of water loss reduction measures: case study of the Gothenburg drinking water distribution system. Water Resour Manag 29(15):5451–5468

    Article  Google Scholar 

  • Moher D et al (2009) Systematic reviews and meta-analyses: the PRISMA statement. Annulas of Intern Med 151(4):264–269

    Article  Google Scholar 

  • Mutikanga HE, Sharma SK, Vairavamoorthy K (2011) Assessment of apparent losses in urban water systems. Water and Environment Journal 25:327–335

    Article  Google Scholar 

  • Nicolini M, Patriarca A, A APS (2011). Model calibration and system simulation from real time monitoring of water distribution networks. IEEE, (978–1–61284–840–2/11/$2600 ©2011 IEEE), pp. 2–6

  • Perrow C (1984). Normal Accidents: Living with High-risk Technologies P. U. Press, ed., Princeton: Princeton University Press

  • Prieto MA et al (2015) Mathematical model as a standard procedure to analyze small and large water distribution networks. Journal of Cleaner Production 106:541–554. Available at. https://doi.org/10.1016/j.jclepro.2014.12.011

    Article  Google Scholar 

  • Ramasesh RV, Browning TR (2014) A conceptual framework for tackling knowable unknown unknowns in project management. Journal of Operations Management 32(4):190–204. Available at. https://doi.org/10.1016/j.jom.2014.03.003

    Article  Google Scholar 

  • Ríos JC, Santos-Tellez RU, Rodríguez PH, Leyva EA, Martínez VN (2014) Methodology for the identification of apparent losses in water distribution networks. Procedia Engineering 70:238–247

    Article  Google Scholar 

  • Saurin TA, Rooke J, Koskela L (2013) A complex systems theory perspective of lean production. Int J Prod Res 51(19):5824–5838 Available at: http://www.tandfonline.com/doi/abs/10.1080/00207543.2013.796420

    Article  Google Scholar 

  • Smith K, Liu S, Chang T (2015) Contribution of urban water supply to greenhouse gas emissions in China. Research and Analysis 20(4)

  • Starczewska D, Collins R, Boxall J (2015) Occurrence of Transients in Water Distribution Networks. Procedia. Engineering 119:1473–1482 Available at: http://linkinghub.elsevier.com/retrieve/pii/S1877705816000023

    Article  Google Scholar 

  • Tanyimboh TT, Seyoum AG (2016) Multiobjective evolutionary optimization of water distribution systems: Exploiting diversity with infeasible solutions. Journal of Environmental Management 183:133–141. Available at. https://doi.org/10.1016/j.jenvman.2016.08.048

    Article  Google Scholar 

  • Thissen W, Kwakkel J, Mens M (2017) Dealing with uncertainties in fresh water supply: experiences in the Netherlands. Water Resour Manag 31:703–725

    Article  Google Scholar 

  • Trist EL, Bamforth KW (1951) Some social and psychological consequences of the Longwall method of coal-getting: an examination of the psychological situation and defences of a work group in relation to the social structure and technological content of the work system. Human relations 4(1):3–38

    Article  Google Scholar 

  • Trojan F, Morais DC (2015) Maintenance management decision model for reduction of losses in water distribution networks. Water Resour Manag 29:3459–3479

    Article  Google Scholar 

  • Xin K, Tao T, Lu Y, Xiong X (2014) Apparent losses analysis in district metered areas of water distribution systems. Water Resour Manag 28:683–696

    Article  Google Scholar 

  • Xu Q et al (2013) Optimal pipe replacement strategy based on break rate prediction through genetic programming for water distribution network. Journal of Hydro-Environment Research 7(2):134–140. Available at. https://doi.org/10.1016/j.jher.2013.03.003

    Article  Google Scholar 

  • Yuksel E, Eroglu V, Sarikaya HZ, Koyuncu I (2004) Current and future strategies for water and wastewater Management of Istanbul City. Environ Manag 33(2):186–195

    Article  Google Scholar 

  • Zyoud SH, Kaufmann LG, Shaheen H, Samhan S, Fuchs-Hanusch D (2016) A framework for water loss management in developing countries under fuzzy environment: integration of fuzzy AHP with fuzzy TOPSIS. Expert Syst Appl 61:86–105 Available at: http://linkinghub.elsevier.com/retrieve/pii/S0957417416302342

    Article  Google Scholar 

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Authors and Affiliations

  1. Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil

    Bárbara Brzezinski Azevedo & Tarcísio Abreu Saurin

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  1. Bárbara Brzezinski Azevedo
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  2. Tarcísio Abreu Saurin
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Correspondence to Bárbara Brzezinski Azevedo.

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Azevedo, B.B., Saurin, T.A. Losses in Water Distribution Systems: A Complexity Theory Perspective. Water Resour Manage 32, 2919–2936 (2018). https://doi.org/10.1007/s11269-018-1976-7

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  • DOI: https://doi.org/10.1007/s11269-018-1976-7

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