A Novel Approach to the Optimization of the Spatial Distribution of the Multiple Crop Pattern on a River Basin Scale

Motahareh Saadatpour () and Fardin Kamali ()
Additional contact information
Motahareh Saadatpour: Iran University of Science and Technology
Fardin Kamali: Iran University of Science and Technology

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2022, vol. 36, issue 14, No 11, 5565-5580

Abstract: Abstract Nowadays, with the ongoing advancement of social economy and water demands, the value of water resources has increased, and the crop pattern management, in terms of water consumptions and economic benefits has become significantly important. To achieve an optimal crop pattern on a river basin scale, a spatiotemporal agro-hydrologic simulation model, SWAT (Soil and Water Assessment Tool), was coupled to the multi-objective particle swarm optimization algorithm in a simulation-optimization (S-O) framework. The SWAT model of the Seymareh River Basin (SRB), in terms of hydrological and agronomic measures, was calibrated and validated from year 2003 to 2016. Two problems concerning determinations of I) crop area and II) crop type and area, were defined by focusing on increased economic benefit and decreased water consumption, which were constrained to available land and water resources. In Problem I, the crop types were predefined as the current situation in each sub-basin and in Problem II, the crop types were variable. The results indicated that in Problem I, the most water-efficient and economic solutions of Pareto front led to 51.94% and 39.7% lower water consumption, and 23% and 25.69% economic enhancement, respectively, compared to the current crop pattern scenario. In addition, in Problem II, the economic measure in the most water-efficient and economic alternatives increased by 35.7% and 38.7%, and the water saving measure was increased by 68% and 44%, respectively, compared to the existing crop pattern scenario. In this regard, the developed S-O framework would function as an efficient decision-making tool, particularly for river basin scale studies.

Keywords: MOPSO; Optimal crop pattern; Seymareh river basin; Simulation-Optimization; SWAT (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/s11269-022-03318-7 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:14:d:10.1007_s11269-022-03318-7

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

DOI: 10.1007/s11269-022-03318-7

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 ().