Virtual water trade: Economic development and independence through optimal allocation

被引:11
作者
Delpasand, Mohammad [1 ]
Bozorg-Haddad, Omid [1 ]
Goharian, Erfan [2 ]
Loaiciga, Hugo A. [3 ]
机构
[1] Univ Tehran, Coll Agr & Nat Resources, Fac Agr Engn & Technol, Dept Irrigat & Reclamat Engn, Karaj 3158777871, Iran
[2] Univ South Carolina, Coll Engn & Comp, Civil & Environm Engn, 300 Main St Room C206, Columbia, SC 29208 USA
[3] Univ Calif Santa Barbara, Dept Geog, Santa Barbara, CA 93016 USA
基金
美国国家科学基金会;
关键词
Virtual Water Trade; Water resources management; Conflict resolution; Multi-objective optimization; OPTIMIZATION; STRATEGIES; FOOTPRINT; EXPORT; CHINA; MODEL; GRAIN; FOOD; FLOW;
D O I
10.1016/j.agwat.2022.108022
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
The uneven temporal and spatial distribution of water has led to water crises in many countries. The virtual water trade constitutes a means of dealing with such crises. The virtual water trade uncovers the hidden flow of water in traded commodities between countries. This work proposes a multi-objective optimization model that maximizes the revenue and minimizes the direct and indirect water uses of producing strategic agricultural and industrial goods. Several water prices and levels of subsidies are accounted for in the optimization. A country's agricultural and industrial independence is used to constraint the optimization problem, which achieves food security and economic benefit. The proposed optimization model is applied to identify the portfolio of suitable agricultural products in Iran. Results show that wheat features the largest portion of water use in the agricultural sector, while potatoes and tomatoes are more lucrative due to their relative high price and low water use of about 400 m3 per ton of produce. Moreover, it is found that raising the water price reduces industrial imports because producing industrial goods is cost-effective in offsetting the reduction of net-revenue from agricultural production.
引用
收藏
页数:14
相关论文
共 28 条
[1]   National water, food, and trade modeling framework: The case of Egypt [J].
Abdelkader, A. ;
Elshorbagy, A. ;
Tuninetti, M. ;
Laio, F. ;
Ridolfi, L. ;
Fahmy, H. ;
Hoekstra, A. Y. .
SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 639 :485-496
[2]  
Allan T., 1993, Proceedings of the conference on priorities for water resources allocation and management. Natural Resources and Engineering Advisers Conference, Southampton, July 1992., P13
[3]   Crop Production, Export of Virtual Water and Water-saving Strategies in Arizona [J].
Bae, Jinwon ;
Dall'erba, Sandy .
ECOLOGICAL ECONOMICS, 2018, 146 :148-156
[4]   Bargaining Models for Optimal Design of Water Distribution Networks [J].
Beygi, S. ;
Bozorg-Haddad, Omid ;
Fallah-Mehdipour, E. ;
Marino, M. A. .
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 2014, 140 (01) :92-99
[5]  
Bozorg-Haddad O., 2018, ADV OPTIMIZATION NAT
[6]   Virtual water trade patterns in relation to environmental and socioeconomic factors: A case study for Tunisia [J].
Chouchane, Hatem ;
Krol, Maarten S. ;
Hoekstra, Arjen Y. .
SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 613 :287-297
[7]   Water resources transfers through Chinese interprovincial and foreign food trade [J].
Dalin, Carole ;
Hanasaki, Naota ;
Qiu, Huanguang ;
Mauzerall, Denise L. ;
Rodriguez-Iturbe, Ignacio .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2014, 111 (27) :9774-9779
[8]  
Deb K., 2001, Technical report 112
[9]   Development of stochastic dynamic Nash game model for reservoir operation II. The value of players' information availability and cooperative behaviors [J].
Ganji, Arman ;
Karamouz, Mohammad ;
Khalili, Davar .
ADVANCES IN WATER RESOURCES, 2007, 30 (01) :157-168
[10]  
Golberg DE, 1989, GENETIC ALGORITHMS S, P36