A Food-Energy-Water Nexus approach for land use optimization

doi:10.1016/j.scitotenv.2018.12.242

	A Food-Energy-Water Nexus approach for land use optimization
	Nie, Yaling 1,2,3,4; Avraamidou, Styliani 3,4; Xiao, Xin 1; Pistikopoulos, Efstratios N.3,4; Li, Jie 5; Zeng, Yujiao 1; Song, Fei 1; Yu, Jie 1; Zhu, Min 1
刊名	SCIENCE OF THE TOTAL ENVIRONMENT
	2019-04-01
卷号	659 页码:7-19
关键词	Land use Food-Energy-Water Nexus Data-driven modeling Multi-objective optimization Integrated assessment
ISSN号	0048-9697
DOI	10.1016/j.scitotenv.2018.12.242
英文摘要	Allocation and management of agricultural land is of emergent concern due to land scarcity, diminishing supply of energy and water, and the increasing demand of food globally. To achieve social, economic and environmental goals in a specific agricultural land area, people and society must make decisions subject to the demand and supply of food, energy and water (FEW). Interdependence among these three elements, the Food-Energy-Water Nexus (FEW-N), requires that they be addressed concertedly. Despite global efforts on data, models and techniques, studies navigating the multi-faceted FEW-N space, identifying opportunities for synergistic benefits, and exploring interactions and trade-offs in agricultural land use system are still limited. Taking an experimental station in China as a model system, we present the foundations of a systematic engineering framework and quantitative decision-making tools for the trade-off analysis and optimization of stressed interconnected FEW-N networks. The framework combines data analytics and mixed-integer nonlinear modeling and optimization methods establishing the interdependencies and potentially competing interests among the FEW elements in the system, along with policy, sustainability, and feedback from various stakeholders. A multi-objective optimization strategy is followed for the trade-off analysis empowered by the introduction of composite FEW-N metrics as means to facilitate decision-making and compare alternative process and technological options. We found the framework works effectively to balance multiple objectives and benchmark the competitions for systematic decisions. The optimal solutions tend to promote the food production with reduced consumption of water and energy, and have a robust performance with alternative pathways under different climate scenarios. (c) 2018 Elsevier B.V. All rights reserved.
资助项目	STS Project of Chinese Academy of Sciences[KFJ-EW-STS-054-3] ; Program of China Scholarship Council[201604910976] ; National Natural Science Foundation of China[61603370] ; National Science Foundation under Grant Addressing Decision Support for Water Stressed FEW Nexus Decisions[1739977] ; Texas A & M Energy Institute
WOS关键词	PRODUCTION SYSTEMS ; RESPONSE FUNCTIONS ; CROPPING SYSTEM ; YIELD RESPONSE ; NITROGEN USE ; MODEL ; AGRICULTURE ; UNCERTAINTY ; IRRIGATION ; TEXAS
WOS研究方向	Environmental Sciences & Ecology
语种	英语
出版者	ELSEVIER SCIENCE BV
WOS记录号	WOS:000457293700002
资助机构	STS Project of Chinese Academy of Sciences ; Program of China Scholarship Council ; National Natural Science Foundation of China ; National Science Foundation under Grant Addressing Decision Support for Water Stressed FEW Nexus Decisions ; Texas A & M Energy Institute
内容类型	期刊论文
源URL	[http://ir.ipe.ac.cn/handle/122111/27936]
专题	中国科学院过程工程研究所
通讯作者	Xiao, Xin; Pistikopoulos, Efstratios N.; Li, Jie
作者单位	1.Chinese Acad Sci, Inst Proc Engn, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Texas A&M Univ, Artie McFerrin Dept Chem Engn, College Stn, TX 77843 USA 4.Texas A&M Univ, Texas A&M Energy Inst, College Stn, TX 77843 USA 5.Univ Manchester, Sch Chem Engn & Analyt Sci, Manchester M13 9PL, Lancs, England
推荐引用方式 GB/T 7714	Nie, Yaling,Avraamidou, Styliani,Xiao, Xin,et al. A Food-Energy-Water Nexus approach for land use optimization[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2019,659:7-19.
APA	Nie, Yaling.,Avraamidou, Styliani.,Xiao, Xin.,Pistikopoulos, Efstratios N..,Li, Jie.,...&Zhu, Min.(2019).A Food-Energy-Water Nexus approach for land use optimization.SCIENCE OF THE TOTAL ENVIRONMENT,659,7-19.
MLA	Nie, Yaling,et al."A Food-Energy-Water Nexus approach for land use optimization".SCIENCE OF THE TOTAL ENVIRONMENT 659(2019):7-19.