Regional agricultural water resources management with respect to fuzzy return and energy constraint under uncertainty: An integrated optimization approach.

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Bibliographic Details
Title: Regional agricultural water resources management with respect to fuzzy return and energy constraint under uncertainty: An integrated optimization approach.
Authors: Luo Z; Key Laboratory for City Cluster Environmental Safety and Green Development of the Ministry of Education, Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou 510006, China., Xie Y; Key Laboratory for City Cluster Environmental Safety and Green Development of the Ministry of Education, Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou 510006, China. Electronic address: xieyulei001@gmail.com., Ji L; School of Economics and Management, Beijing University of Technology, Beijing 100124, China., Cai Y; Key Laboratory for City Cluster Environmental Safety and Green Development of the Ministry of Education, Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou 510006, China. Electronic address: yanpeng.cai@gdut.edu.cn., Yang Z; Key Laboratory for City Cluster Environmental Safety and Green Development of the Ministry of Education, Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou 510006, China. Electronic address: zfyang@gdut.edu.cn., Huang G; Environmental Systems Engineering Program, Faculty of Engineering, University of Regina, Regina, Sask S4S 0A2, Canada. Electronic address: gordon.huang@uregina.ca.
Source: Journal of contaminant hydrology [J Contam Hydrol] 2021 Oct; Vol. 242, pp. 103863. Date of Electronic Publication: 2021 Aug 04.
Publication Type: Journal Article
Language: English
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 8805644 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-6009 (Electronic) Linking ISSN: 01697722 NLM ISO Abbreviation: J Contam Hydrol Subsets: MEDLINE
Imprint Name(s): Original Publication: Amsterdam ; New York : Elsevier, [c1986-
MeSH Terms: Water* , Water Resources*, Agriculture ; Models, Theoretical ; Uncertainty
Abstract: In this study, an integrated framework is proposed for agricultural water and land resources management under uncertain circumstances and energy-water nexus. The framework has two components: the optimized interval solutions generation of unknown market quotation and environment situation through the novel interval fuzzy-expectation programming, and the post-optimization decision-making of the tradeoff between system risk and return through risk-explicit interval programming. An optimization model based on the framework was developed from a real description for agricultural water resources system of Guangdong province under considering various crop, multiple water sources, and the related energy consumption in irrigation and drainage. The impact of energy consumption and risk level control on water resources allocation among different crops and system benefits were analyzed. The results indicated that the preference for surface water resources as the main water sources can effectively reduce regional irrigation energy consumption, and the planting area of each crop would have different variations duo to resources endowment constraints. Risk tradeoff-based results can provide valuable information and additional concern for developing low carbon-oriented agricultural water resources management schemes.
(Copyright © 2021 Elsevier B.V. All rights reserved.)
Contributed Indexing: Keywords: Agricultural water resources management; Energy-consumption control; Integrated optimization framework; Interval fuzzy-expectation programming; Risk analysis
Substance Nomenclature: 059QF0KO0R (Water)
Entry Date(s): Date Created: 20210810 Date Completed: 20211021 Latest Revision: 20211021
Update Code: 20250114
DOI: 10.1016/j.jconhyd.2021.103863
PMID: 34375788
Database: MEDLINE
Description
Abstract:In this study, an integrated framework is proposed for agricultural water and land resources management under uncertain circumstances and energy-water nexus. The framework has two components: the optimized interval solutions generation of unknown market quotation and environment situation through the novel interval fuzzy-expectation programming, and the post-optimization decision-making of the tradeoff between system risk and return through risk-explicit interval programming. An optimization model based on the framework was developed from a real description for agricultural water resources system of Guangdong province under considering various crop, multiple water sources, and the related energy consumption in irrigation and drainage. The impact of energy consumption and risk level control on water resources allocation among different crops and system benefits were analyzed. The results indicated that the preference for surface water resources as the main water sources can effectively reduce regional irrigation energy consumption, and the planting area of each crop would have different variations duo to resources endowment constraints. Risk tradeoff-based results can provide valuable information and additional concern for developing low carbon-oriented agricultural water resources management schemes.<br /> (Copyright © 2021 Elsevier B.V. All rights reserved.)
ISSN:1873-6009
DOI:10.1016/j.jconhyd.2021.103863