EconPapers    
Economics at your fingertips  
 

Multiobjective Linear Model Optimize Water Distribution in Mexican Valley

R. Salazar Moreno (), F. Szidarovszky (), A. Rojano Aguilar and I. López Cruz
Additional contact information
R. Salazar Moreno: Universidad Autónoma Chapingo
F. Szidarovszky: The University of Arizona
A. Rojano Aguilar: Universidad Autónoma Chapingo
I. López Cruz: Universidad Autónoma Chapingo

Journal of Optimization Theory and Applications, 2010, vol. 144, issue 3, No 8, 557-573

Abstract: Abstract A multiobjective optimization model is developed for the Mexican Valley to find optimal water distribution scenarios for three water users: agriculture, industry and domestic. Surface, ground, treated and imported water supplies are considered. The model with three objectives and 15 constraints was solved by the distance based method with distance l 1. Three scenarios and two priorities were analyzed for this problem. In Scenario 1, actual aquifer overexploitation and treated water usage were allowed. Scenario 2 considered the reduction of water extraction from the aquifer to one billion m3 (59%), and increased usage of treated water in agriculture by 50%. In Scenario 3, we assume aquifer sustainability and increasing surface water usage by 857 mill m3/year. The last scenario is the best because, in the worst case, the farmers can cover one season and also some crops in the second season, and the domestic users can get more water than their minimum demand. In addition, aquifer sustainability is implemented, which can reduce aquifer overexploitation. The waste water disposal problem, which is critical in this area, also can be reduced.

Keywords: Multiobjective optimization; Conflict for water; Mexican Valley (search for similar items in EconPapers)
Date: 2010
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10957-009-9608-2 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:joptap:v:144:y:2010:i:3:d:10.1007_s10957-009-9608-2

Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2

DOI: 10.1007/s10957-009-9608-2

Access Statistics for this article

Journal of Optimization Theory and Applications is currently edited by Franco Giannessi and David G. Hull

More articles in Journal of Optimization Theory and Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:joptap:v:144:y:2010:i:3:d:10.1007_s10957-009-9608-2