Arid
DOI10.1007/978-3-662-47926-1_42
A Multi-objective Optimisation Approach to Optimising Water Allocation in Urban Water Systems
Mousavi, S. Jamshid1; Behzadian, Kourosh2; Kim, Joong Hoon3; Kapelan, Zoran2
通讯作者Mousavi, S. Jamshid
会议名称2nd International Conference on Harmony Search Algorithm (ICHSA)
会议日期AUG 19-21, 2015
会议地点Seoul, SOUTH KOREA
英文摘要

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.


英文关键词Urban water systems Water allocation and multi-objective optimisation
来源出版物HARMONY SEARCH ALGORITHM
ISSN2194-5357
EISSN2194-5365
出版年2016
卷号382
页码447-457
ISBN978-3-662-47925-4
EISBN978-3-662-47926-1
出版者SPRINGER-VERLAG BERLIN
类型Proceedings Paper
语种英语
国家Iran;England;South Korea
收录类别CPCI-S
WOS记录号WOS:000381804100041
WOS关键词PERFORMANCE
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS研究方向Computer Science
资源类型会议论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/305080
作者单位1.Amirkabir Univ Technol, Sch Civil & Environm Engn, Tehran, Iran;
2.Univ Exeter, Ctr Water Syst, Coll Engn Math & Phys Sci, Exeter, Devon, England;
3.Korea Univ, Sch Civil Environm & Architectural Engn, Seoul 136713, South Korea
推荐引用方式
GB/T 7714
Mousavi, S. Jamshid,Behzadian, Kourosh,Kim, Joong Hoon,et al. A Multi-objective Optimisation Approach to Optimising Water Allocation in Urban Water Systems[C]:SPRINGER-VERLAG BERLIN,2016:447-457.
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