Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Hybrid Optimization Model for Conjunctive Use of Surface and Groundwater Resources in Water Deficit Irrigation System

Version 1 : Received: 2 January 2021 / Approved: 4 January 2021 / Online: 4 January 2021 (11:31:59 CET)

How to cite: MoothampalayamSampathkumar, K.; Ramasamy, S.; Ramasubbu, B.; Pourghasemi, H.R.; Karuppanan, S.; Lakshminarayanan, B. Hybrid Optimization Model for Conjunctive Use of Surface and Groundwater Resources in Water Deficit Irrigation System. Preprints 2021, 2021010018 (doi: 10.20944/preprints202101.0018.v1). MoothampalayamSampathkumar, K.; Ramasamy, S.; Ramasubbu, B.; Pourghasemi, H.R.; Karuppanan, S.; Lakshminarayanan, B. Hybrid Optimization Model for Conjunctive Use of Surface and Groundwater Resources in Water Deficit Irrigation System. Preprints 2021, 2021010018 (doi: 10.20944/preprints202101.0018.v1).

Abstract

Increasing demand for food production with limited available water resources pose the threat to agricultural activities. The conjunctive allocation of water resources maximizes the net benefit of farmers efficiently. In this study, a novel hybrid optimization model was developed based on a genetic algorithm (GA), bacterial foraging optimization (BFO) and ant colony optimization (ACO) to maximize the net benefit of water deficit Sathanur reservoir command. The GA-based opti-mization model considered crop-related physical and economical parameters to derive optimal cropping patterns for three different conjunctive use policies and further allocation of surface and groundwater for different crops are enhanced with the BFO. The allocation of surface and groundwater for the head, middle and tail reach obtained from BFO is considered as input to ACO as a guiding mechanism to attain an optimal cropping pattern. Comparing the average produc-tivity values Policy 3 (3.665 Rs/m3) has better values relating to Policy 1 (3.662 Rs/m3) and Policy 2 (3.440 Rs/m3). Thus, the developed novel hybrid optimization model (GA-BFO-ACO) is very promising to enhance the farmer's net income as well as for the command area water conservation and can be replicated in other irrigated regions of the globe to overcome chronic land and water problems.

Subject Areas

conjunctive use; cropping pattern; genetic algorithm; bacterial foraging optimization; ant colony optimization; hybrid optimization; productivity

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our diversity statement.

Leave a public comment
Send a private comment to the author(s)
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.