Assessment of the optimized scenarios for economic-environmental conjunctive water use utilizing gravitational search algorithm

Ahmad Mehrabi, Manouchehr Heidarpour, Hamid R. Safavi and Farshad Rezaei

Agricultural Water Management, 2021, vol. 246, issue C

Abstract: Holding proper ratio between groundwater extraction and surface water allocation in conjunctive use of water resources may be a desirable way for simultaneously controlling the aquifer sustainability and meeting the increasing agricultural water demands. This paper focuses on maximizing the agricultural net benefits (NB) while avoiding the vital groundwater resources to excessively withdraw when utilized to supply the water demands and provide desirable net benefits. For this purpose, the gravitational search algorithm (GSA) is employed as the optimizer and linked to the artificial neural network (ANN) as the simulator of the groundwater level (GWL) variations. The study area is the west of the irrigation network of Qazvin plain in Iran. This area is divided into two zones: low-GWL-drawdown zone (zone 1); and high-GWL-drawdown zone (zone 2). For each zone, nine scenarios are defined considering three climatic years each of which is assigned three different crop patterns, totally resulting in 18 scenarios. The results show that the simulation-optimization models can decrease the groundwater drawdown in all scenarios by 0.77–1.84 m in zone 1, and by 1.28–1.97 m in zone 2. Furthermore, by replacing the existing crop pattern with two other ones, NB is increased by 35.5–53.7% in the zone 1 and by 24.9–59.7% in the zone 2. Additionally, the net benefit per unit water consumption volume (NBPD) is increased by 18.9–32.2% in zone 1 and by 9–52.6% in zone 2.

Keywords: Simulation-optimization; Net benefit (NB); Gravitational search algorithm (GSA); Artificial neural network (ANN); Deficit irrigation; Conjunctive use (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378377420322320
Full text for ScienceDirect subscribers only

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:eee:agiwat:v:246:y:2021:i:c:s0378377420322320

DOI: 10.1016/j.agwat.2020.106688

Access Statistics for this article

Agricultural Water Management is currently edited by B.E. Clothier, W. Dierickx, J. Oster and D. Wichelns

More articles in Agricultural Water Management from Elsevier
Bibliographic data for series maintained by Catherine Liu ().