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A Multi-objective Optimisation Approach to Optimising Water Allocation in Urban Water Systems

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Harmony Search Algorithm

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 382))

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Abstract

Lack of available surface water resources and increasing depletion of groundwater are the major challenges of urban water systems (UWSs) in semi-arid regions. This paper presents a long term multi-objective optimisation model to identify optimal water allocation in UWS. The objectives are to maximize reliability of water supply and minimize total operational costs while restricting the annual groundwater withdrawal. Pumping water from a dam reservoir and water recycling schemes are two alternatives for supplying water to increasing water demands over the planning horizon. The developed approach is demonstrated through its application to the UWS of Kerman City in Iran. The Pareto-optimal solutions are obtained as a trade-off between reliability of water supply and operational costs in the Kerman UWS. The results show that addition of recycled water to the water resources can provide the least cost-effective and most efficient way for meeting future water demands in different states of groundwater abstractions.

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References

  1. Nair, S., George, B., Malano, H.M., Arora, M., Nawarathna, B.: Water–energy–greenhousegas nexus of urban water systems: review of concepts. state-of-art and methods. Resour. Conserv. Recycl. 89, 1–10 (2014)

    Article  Google Scholar 

  2. Behzadian, K., Kapelan, Z.: Advantages of integrated and sustainability based assessment for metabolism based strategic planning of urban water systems. Sci. Total Environ. 527–528, 220–231 (2015). doi:10.1016/j.scitotenv.2015.04.097

    Article  Google Scholar 

  3. Liu, S.C., Makropoulos, C.K., Memon, F.A., Butler, D.: Object based household water cycle model: Concept and construction, water practice and technology. IWA Online Journal 2, 2 (2006)

    Google Scholar 

  4. Metcalf, L., Eddy, H.P., Tchobanoglous, G.: Wastewater engineering: treatment, disposal, and reuse. McGraw-Hill (2010)

    Google Scholar 

  5. Behzadian, K., Kapelan, Z., Morley, M.S.: Resilience-based performance assessment of water-recycling schemes in urban water systems. Procedia Eng. 89, 719–726 (2014)

    Article  Google Scholar 

  6. Najia, F., Lustig, T.: On-site water recycling—a total water cycle management approach. Desalination 188(1), 195–202 (2006)

    Article  Google Scholar 

  7. Rozos, E., Makropoulos, C., Butler, D.: Design robustness of local water-recycling schemes. J. Water Resour. Plann. Manage. 136(5), 531–538 (2010)

    Article  Google Scholar 

  8. Trembath, M.: Desal plant to close down. St George & Sutherland Shire Leader (Fairfax Media) (2012) (Access at http://www.theleader.com.au/story/267462/desal-plant-to-close-down/) (retrieved June 10, 2015)

  9. Behzadian, K., Kapelan, Z.: Modelling Metabolism Based Performance of Urban Water System Using WaterMet2. Resources Conservation and Recycling 99, 84–99 (2015). doi:10.1016/j.resconrec.2015.03.015

    Article  Google Scholar 

  10. Behzadian, K., Kapelan, Z., Venkatesh, G., Brattebo, H., Saegrov, S.: WaterMet2: a tool for integrated analysis of sustainability-based performance of urban water systems. Drinking Water Eng. Sci. 7, 63–72 (2014). doi:10.5194/dwes-7-63-2014

    Article  Google Scholar 

  11. Rozos, E., Makropoulos, C.: Source to tap urban water cycle modelling. Environ. Modell. Software 41, 139–150 (2013)

    Article  Google Scholar 

  12. Deb, K., Pratap, A., Agarwal, S., Meyarivan, T.A.M.T.: A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans. Evol. Comput. 6(2), 182–197 (2002)

    Article  Google Scholar 

  13. Behzadian, K., Kapelan, Z., Morley, M.S.: Resilience-based performance assessment of water-recycling schemes in urban water systems. Procedia Eng. 89, 719–726 (2014)

    Article  Google Scholar 

  14. Nazari, S., Mousavi, J., Behzadian, K.: Sustainable urban water management: a simulation optimization approach. In: HIC2014– 11th International Conference on Hydroinformatics, New York, USA (2014)

    Google Scholar 

  15. Nazari, S., Mousavi, J., Behzadian, K., Kapelan, Z.: Compromise programming based scenario analysis of urban water systems management options: Case study of Kerman City. In: HIC2014– 11th International Conference on Hydroinformatics, New York, USA (2014)

    Google Scholar 

  16. Behzadian, K., Kapelan, Z., Morley, M.S., Govindarajan, V., Brattebø, H., Sægrov, S., Jamshid Mousavi, S.: Quantitative assessment of future sustainability performance in urban water services using watermet2. In: IWA/TRUST Cities of the Future Conference, Mülheim, An Der Ruhr, Germany (2015)

    Google Scholar 

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Author information

Authors and Affiliations

  1. School of Civil and Environmental Engineering, Amirkabir University of Technology, Tehran, Iran

    S. Jamshid Mousavi

  2. Centre for Water Systems, College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, UK

    Kourosh Behzadian & Zoran Kapelan

  3. School of Civil, Environmental and Architectural Engineering, Korea University, Seoul, 136-713, South Korea

    Joong Hoon Kim

Authors
  1. S. Jamshid Mousavi
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  2. Kourosh Behzadian
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  3. Joong Hoon Kim
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  4. Zoran Kapelan
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Corresponding author

Correspondence to S. Jamshid Mousavi .

Editor information

Editors and Affiliations

  1. Civil, Environmental and Architectural Engineering, Korea University, Seoul, Korea (Republic of)

    Joong Hoon Kim

  2. Energy IT, Gachon University, Seongnam-Si, Korea (Republic of)

    Zong Woo Geem

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© 2016 Springer-Verlag Berlin Heidelberg

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Jamshid Mousavi, S., Behzadian, K., Kim, J.H., Kapelan, Z. (2016). A Multi-objective Optimisation Approach to Optimising Water Allocation in Urban Water Systems. In: Kim, J., Geem, Z. (eds) Harmony Search Algorithm. Advances in Intelligent Systems and Computing, vol 382. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47926-1_42

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  • DOI: https://doi.org/10.1007/978-3-662-47926-1_42

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-47925-4

  • Online ISBN: 978-3-662-47926-1

  • eBook Packages: EngineeringEngineering (R0)

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