A multi-objective optimisation approach to optimising water allocation in urban water systems

S. Jamshid Mousavi, Kourosh Behzadian, Joong Hoon Kim, Zoran Kapelan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationAdvances in Intelligent Systems and Computing
PublisherSpringer Verlag
Pages447-457
Number of pages11
Volume382
ISBN (Print)9783662479254
DOIs
Publication statusPublished - 2016
Event2nd International Conference on Harmony Search Algorithm, ICHSA 2015 - Seoul, Korea, Republic of
Duration: 2015 Aug 192015 Aug 21

Publication series

NameAdvances in Intelligent Systems and Computing
Volume382
ISSN (Print)21945357

Other

Other2nd International Conference on Harmony Search Algorithm, ICHSA 2015
CountryKorea, Republic of
CitySeoul
Period15/8/1915/8/21

Fingerprint

Multiobjective optimization
Water
Groundwater
Water supply
Surface water resources
Water recycling
Costs
Arid regions
Water resources
Dams
Planning

Keywords

  • Multi-objective Optimization
  • Urban water systems
  • Water allocation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

Mousavi, S. J., Behzadian, K., Kim, J. H., & Kapelan, Z. (2016). A multi-objective optimisation approach to optimising water allocation in urban water systems. In Advances in Intelligent Systems and Computing (Vol. 382, pp. 447-457). (Advances in Intelligent Systems and Computing; Vol. 382). Springer Verlag. https://doi.org/10.1007/978-3-662-47926-1_42

A multi-objective optimisation approach to optimising water allocation in urban water systems. / Mousavi, S. Jamshid; Behzadian, Kourosh; Kim, Joong Hoon; Kapelan, Zoran.

Advances in Intelligent Systems and Computing. Vol. 382 Springer Verlag, 2016. p. 447-457 (Advances in Intelligent Systems and Computing; Vol. 382).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mousavi, SJ, Behzadian, K, Kim, JH & Kapelan, Z 2016, A multi-objective optimisation approach to optimising water allocation in urban water systems. in Advances in Intelligent Systems and Computing. vol. 382, Advances in Intelligent Systems and Computing, vol. 382, Springer Verlag, pp. 447-457, 2nd International Conference on Harmony Search Algorithm, ICHSA 2015, Seoul, Korea, Republic of, 15/8/19. https://doi.org/10.1007/978-3-662-47926-1_42
Mousavi SJ, Behzadian K, Kim JH, Kapelan Z. A multi-objective optimisation approach to optimising water allocation in urban water systems. In Advances in Intelligent Systems and Computing. Vol. 382. Springer Verlag. 2016. p. 447-457. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-662-47926-1_42
Mousavi, S. Jamshid ; Behzadian, Kourosh ; Kim, Joong Hoon ; Kapelan, Zoran. / A multi-objective optimisation approach to optimising water allocation in urban water systems. Advances in Intelligent Systems and Computing. Vol. 382 Springer Verlag, 2016. pp. 447-457 (Advances in Intelligent Systems and Computing).
@inproceedings{59cd6591b6204a47be08e5e94cce0b10,
title = "A multi-objective optimisation approach to optimising water allocation in urban water systems",
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.",
keywords = "Multi-objective Optimization, Urban water systems, Water allocation",
author = "Mousavi, {S. Jamshid} and Kourosh Behzadian and Kim, {Joong Hoon} and Zoran Kapelan",
year = "2016",
doi = "10.1007/978-3-662-47926-1_42",
language = "English",
isbn = "9783662479254",
volume = "382",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "447--457",
booktitle = "Advances in Intelligent Systems and Computing",

}

TY - GEN

T1 - A multi-objective optimisation approach to optimising water allocation in urban water systems

AU - Mousavi, S. Jamshid

AU - Behzadian, Kourosh

AU - Kim, Joong Hoon

AU - Kapelan, Zoran

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

KW - Multi-objective Optimization

KW - Urban water systems

KW - Water allocation

UR - http://www.scopus.com/inward/record.url?scp=84946761037&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84946761037&partnerID=8YFLogxK

U2 - 10.1007/978-3-662-47926-1_42

DO - 10.1007/978-3-662-47926-1_42

M3 - Conference contribution

SN - 9783662479254

VL - 382

T3 - Advances in Intelligent Systems and Computing

SP - 447

EP - 457

BT - Advances in Intelligent Systems and Computing

PB - Springer Verlag

ER -