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DOI	10.1016/j.agwat.2021.107116
	Fuzzy particle swarm optimization for conjunctive use of groundwater and reclaimed wastewater under uncertainty
	Mirzaie, Nargis; Banihabib, Mohammad Ebrahim; Shahdany, S. Mehdy Hashemy; Randhir, Timothy O.
通讯作者	Shahdany, SMH (corresponding author), Univ Tehran, Coll Aburaihan, Dept Water Engn, Tehran, Iran. ; Banihabib, ME (corresponding author), Univ Massachusetts, Coll Nat Sci, Dept Environm Conservat, Amherst, MA 01003 USA.
来源期刊	AGRICULTURAL WATER MANAGEMENT
ISSN	0378-3774
EISSN	1873-2283
出版年	2021
卷号	256
英文摘要	Water scarcity is a significant global challenge. Water resources planning and management are vital to all sectors, primarily for the agricultural sector identified as a significant consumer. Conjunctive water use management is ideal for decreasing water scarcity, especially in arid and semiarid regions. More importantly, considering uncertainties in water management is critical to planning and management issues. This study develops a fuzzy optimization model aiming at a qualitative-quantitative conjunctive reallocation of reclaimed wastewater and groundwater resources. Three objectives, including maximizing economic benefit, minimizing fertilizer consumption, and groundwater withdrawal, were assessed in Iran's Varamin Irrigation Network. This research uses fuzzy and non-fuzzy optimization models for a quantitative-qualitative conjunctive use of reclaimed wastewater and groundwater to meet multi-objective functions. These single and multi-objective fuzzy and non-fuzzy optimization models are compared. The particle swarm optimization (PSO) and multi-objective PSO (MOPSO) algorithms optimized single and multi-objective problems. A fuzzy optimization model is superior to the nonfuzzy optimization model regarding optimizing multi-objective functions. The results indicated that the net benefit increased up to 16% without increasing the cultivated area in the fuzzy MOPSO model. Moreover, groundwater withdrawal was reduced by using a larger share of reclaimed wastewater in total water consumption. This increased the use of potential nitrate in reclaimed wastewater and reduced fertilizer consumption. This study highlights achieving socio-economic and environmental goals under uncertain circumstances using agricultural water strategies through reclaimed wastewater. Also, a general improvement in water consumption efficiency was achieved through the optimal cropping pattern.
英文关键词	Conjunctive reallocation Environmental sustainability Fuzzy optimization MOPSO algorithm Multi-objective function
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000696806100005
WOS关键词	FRACTIONAL-PROGRAMMING APPROACH ; IRRIGATION CANALS ; INFERENCE SYSTEM ; MODEL ; ALLOCATION ; ALGORITHM ; SURFACE ; MANAGEMENT
WOS类目	Agronomy ; Water Resources
WOS研究方向	Agriculture ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/368411
作者单位	[Mirzaie, Nargis; Shahdany, S. Mehdy Hashemy] Univ Tehran, Coll Aburaihan, Dept Water Engn, Tehran, Iran; [Banihabib, Mohammad Ebrahim; Randhir, Timothy O.] Univ Massachusetts, Coll Nat Sci, Dept Environm Conservat, Amherst, MA 01003 USA
推荐引用方式 GB/T 7714	Mirzaie, Nargis,Banihabib, Mohammad Ebrahim,Shahdany, S. Mehdy Hashemy,et al. Fuzzy particle swarm optimization for conjunctive use of groundwater and reclaimed wastewater under uncertainty[J],2021,256.
APA	Mirzaie, Nargis,Banihabib, Mohammad Ebrahim,Shahdany, S. Mehdy Hashemy,&Randhir, Timothy O..(2021).Fuzzy particle swarm optimization for conjunctive use of groundwater and reclaimed wastewater under uncertainty.AGRICULTURAL WATER MANAGEMENT,256.
MLA	Mirzaie, Nargis,et al."Fuzzy particle swarm optimization for conjunctive use of groundwater and reclaimed wastewater under uncertainty".AGRICULTURAL WATER MANAGEMENT 256(2021).