Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1007/978-3-662-47926-1_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 |
ISSN | 2194-5357 |
EISSN | 2194-5365 |
出版年 | 2016 |
卷号 | 382 |
页码 | 447-457 |
ISBN | 978-3-662-47925-4 |
EISBN | 978-3-662-47926-1 |
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/2XILL650/304907 |
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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