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. Preprints2021, 2021010018. https://doi.org/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. https://doi.org/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. Preprints2021, 2021010018. https://doi.org/10.20944/preprints202101.0018.v1
APA Style
MoothampalayamSampathkumar, K., Ramasamy, S., Ramasubbu, B., Pourghasemi, H.R., Karuppanan, S., & Lakshminarayanan, B. (2021). Hybrid Optimization Model for Conjunctive Use of Surface and Groundwater Resources in Water Deficit Irrigation System. Preprints. https://doi.org/10.20944/preprints202101.0018.v1
Chicago/Turabian Style
MoothampalayamSampathkumar, K., Saravanan Karuppanan and Balaji Lakshminarayanan. 2021 "Hybrid Optimization Model for Conjunctive Use of Surface and Groundwater Resources in Water Deficit Irrigation System" Preprints. https://doi.org/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.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
