Optimizing Approach of Water Allocation to Off-Takes During Reduced Flows

Irfan Ahmed Shaikh (), Aimrun Wayayok (), Munir Ahmed Mangrio (), Ziyad Ali Alhussain (), Farman Ali Chandio (), Zaheer Ahmed Khan (), Waseem Asghar Khan (), Mogtaba Mohammed (), Murtada K. Elbashir () and Jamshaid Ul Rahman ()
Additional contact information
Irfan Ahmed Shaikh: Sindh Agriculture University
Aimrun Wayayok: Universiti Putra Malaysia
Munir Ahmed Mangrio: Sindh Agriculture University
Ziyad Ali Alhussain: Majmaah University
Farman Ali Chandio: Sindh Agriculture University
Zaheer Ahmed Khan: Sindh Agriculture University
Waseem Asghar Khan: Majmaah University
Mogtaba Mohammed: Majmaah University
Murtada K. Elbashir: Jouf University
Jamshaid Ul Rahman: GCU Lahore

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2022, vol. 36, issue 3, No 8, 913 pages

Abstract: Abstract Multi-objective optimization models with an index were developed based on farmers’ preferences, local requirements, supplies available at the head of the canal, system losses, crop demand about different growth stages, and field soil moisture balance. The models were applied using linear programming. The Model 1 determines the cropping pattern by maximizing net economic benefits using a monthly basis lumped volume available at the head of the canal and is set to the minimum and maximum area constraints along with the constraint of minimum main crop area. The areas for different crops given by the first model form input for the Model 2. The other inputs of Model 2 included periodic supply available at the head of the primary canal (7-day period in this study), root growth depth, demand, and soil moisture constants. The Model 2 optimizes the sum of relative yields of all the crops and provide the irrigation levels of various crops for specified periods. Finally, the distributed area and irrigation levels determined by Model 2 are used in conjunction with the losses to decide flow rates of off takes. The complete program was implemented in the West branch irrigated area of Mirpurkhas subdivision. The results showed that the resources were allocated to off-takes in a competitive and conflict-free manner.

Keywords: Agricultural water management; Irrigation water allocation, Linear programming, Optimization, Preference index (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11269-021-03054-4 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:waterr:v:36:y:2022:i:3:d:10.1007_s11269-021-03054-4

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11269

DOI: 10.1007/s11269-021-03054-4

Access Statistics for this article

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA) is currently edited by G. Tsakiris

More articles in Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA) from Springer, European Water Resources Association (EWRA)
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().