Evaluating drivers and flow patterns of inter-provincial grain virtual water trade in China.
China
Driving factors
Entropy method
Grain virtual water trade
Multi-objective linear programming model
Journal
The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500
Informations de publication
Date de publication:
25 Aug 2020
25 Aug 2020
Historique:
received:
17
03
2020
revised:
04
05
2020
accepted:
04
05
2020
pubmed:
23
5
2020
medline:
23
5
2020
entrez:
23
5
2020
Statut:
ppublish
Résumé
China's food security is facing serious threats because the virtual water triggered by grain trade flows from the water-scarce north region to the water-rich south region in recent years. Thus, quantitatively evaluating grain virtual water flow is increasingly important. We established a multi-objective linear optimization model based on analyzing drivers of grain trade by the entropy method, and the two drivers of transport cost and grain consumption structure between provinces were analyzed. The results show that the virtual water flow of inter-provincial grain trade of China was 98.38 Gm
Identifiants
pubmed: 32442770
pii: S0048-9697(20)32768-6
doi: 10.1016/j.scitotenv.2020.139251
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
139251Informations de copyright
Copyright © 2020 Elsevier B.V. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of competing interest There is no declaration of interest statement.