Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/26966
Full metadata record
DC FieldValueLanguage
dc.contributor.authorWang, Y-
dc.contributor.authorLu, Y-
dc.contributor.authorXu, Y-
dc.contributor.authorZheng, L-
dc.contributor.authorFan, Y-
dc.date.accessioned2023-08-15T15:52:42Z-
dc.date.available2022-12-08-
dc.date.available2023-08-15T15:52:42Z-
dc.date.issued2022-12-08-
dc.identifierORCID iD: Yurui Fan https://orcid.org/0000-0002-0532-4026-
dc.identifier108069-
dc.identifier.citationWang, Y. et al. (2023) 'A factorial inexact copula stochastic programming (FICSP) approach for water-energy- food nexus system management', Agricultural Water Management, 277, 108069, pp. 1 - 16. doi: 10.1016/j.agwat.2022.108069.en_US
dc.identifier.issn0378-3774-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/26966-
dc.descriptionData Availability: Data will be made available on request.en_US
dc.description.abstractCopyright © 2022 The Authors. In this study, a factorial inexact copula stochastic programming (FICSP) method is developed for planning the regional-scale water-energy-food nexus (WEFN) system. The FICSP cannot only deal with uncertainties expressed as interval and random parameters, but also handle the interdependence among correlated random variables. Moreover, the multilevel factorial analysis embedded in FICSP is able to reflect the main and interactive effects among uncertain parameters. The IFCCP approach was then applied to planning the WEFN system for the City of Jinan, Shandong Province, China. A FICSP-WEFN model has been established under consideration of various restrictions related to water and land availability, food and vegetable demands and other environmental constraints. The obtained results indicated that the surface water and groundwater availabilities would be highly correlated with their marginals fitted through the Gaussian distribution and their dependence described by the Gaussian copula. Under limited water resources, the corn cultivation would be prioritized but the increase of water resources tends to increase the wheat cultivation and reduce corn planting. Under the advantageous conditions where sufficient water resources are available, the additional water resources tend to be allocated to wheat and vegetables whilst corn cultivation would not be changed. Moreover, the surface and recycled water would be first utilized for crop production, with the remaining water requirements satisfied by groundwater. The results from factorial analysis indicated that the system benefits would be increased under the demanding conditions through increasing the joint risk level and also the violation risk for surface water availability or decreasing the violation risk of groundwater availability. Nevertheless, the increase in the violation risks under the advantageous conditions would not necessarily lead to increased system benefit, implying that the crop cultivation patterns may be influenced by other restrictions rather than the water availability. In general, the developed FICSP method cannot only generate desired management strategies for WEFN system under consideration of joint risks, but also help track the factors that make dominant impacts on the WEFN management practices.en_US
dc.description.sponsorshipNational Natural Science Foundation of China (62073134).en_US
dc.format.extent1 - 16-
dc.format.mediumPrint-Electronic-
dc.languageEnglish-
dc.language.isoen_USen_US
dc.publisherElsevieren_US
dc.rightsCopyright © 2022 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (https://creativecommons.org/licenses/by/4.0/).-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subjectinexact programmingen_US
dc.subjectrandom variablesen_US
dc.subjectuncertaintyen_US
dc.subjectwater-energy-food nexus systemen_US
dc.subjectdecision makingen_US
dc.subjectfactorial analysisen_US
dc.titleA factorial inexact copula stochastic programming (FICSP) approach for water-energy- food nexus system managementen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1016/j.agwat.2022.108069-
dc.relation.isPartOfAgricultural Water Management-
pubs.publication-statusPublished-
pubs.volume277-
dc.identifier.eissn1873-2283-
dc.rights.holderThe Authors-
Appears in Collections:Dept of Civil and Environmental Engineering Research Papers

Files in This Item:
File Description SizeFormat 
FullText.pdfCopyright © 2022 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (https://creativecommons.org/licenses/by/4.0/).5.74 MBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons