Hybrid optimization model for conjunctive use of surface and groundwater resources in water deficit irrigation system

The increasing demand for food production with limited available water resources poses a threat to agricultural activities. Conventional optimization algorithms increase the processing stage and perform in the space allocated from user. Therefore, the proposed work was used to design better performa...

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Autores principales:	Karthikeyan Moothampalayam Sampathkumar, Saravanan Ramasamy, Balamurugan Ramasubbu, Saravanan Karuppanan, Balaji Lakshminarayanan
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	ant colony optimization bacterial foraging optimization conjunctive use cropping pattern genetic algorithm hybrid optimization Environmental technology. Sanitary engineering TD1-1066
Acceso en línea:	https://doaj.org/article/6cbcaf6b15a0400a9df6bd2de8994ab4
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spelling	oai:doaj.org-article:6cbcaf6b15a0400a9df6bd2de8994ab42021-12-02T07:40:50ZHybrid optimization model for conjunctive use of surface and groundwater resources in water deficit irrigation system0273-12231996-973210.2166/wst.2021.279https://doaj.org/article/6cbcaf6b15a0400a9df6bd2de8994ab42021-11-01T00:00:00Zhttp://wst.iwaponline.com/content/84/10-11/3055https://doaj.org/toc/0273-1223https://doaj.org/toc/1996-9732The increasing demand for food production with limited available water resources poses a threat to agricultural activities. Conventional optimization algorithms increase the processing stage and perform in the space allocated from user. Therefore, the proposed work was used to design better performance results. The conjunctive allocation of water resources maximizes the net benefit of farmers. In this study, the novel hybrid optimization model developed is the first of its kind and was designed to resolve the sharing of water resource conflict among different reaches based on a genetic algorithm (GA), bacterial foraging optimization (BFO) and ant colony optimization (ACO) to maximize the net benefit of the water deficit in Sathanur reservoir command. The GA-based optimization model considered crop-related physical and economic 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 reaches obtained from the BFO is considered as an input to the ACO as a guiding mechanism to attain an optimal cropping pattern. Comparing the average productivity 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 for enhancing farmer's net income and can be replicated in other irrigated regions to overcome chronic water problems. The productivity value of policy 3 was 6.54% greater than that of policy 2, whereas that of policy 1 was 6.45% greater. Overall, the comparison shows that the better performance analysis of various optimization was done successfully. HIGHLIGHTS Hybrid optimization model using three meta-heuristic algorithms (GA, BFO and ACO) was developed.; The developed hybrid model is used for optimizing the cropping area, conjunctive water allocation and net returns for different reaches.; The net returns from the developed hybrid model (GA-BFO-ACO) outperform GA- BFO model.; The developed hybrid model is the first of its kind to unravel the sharing of water resources for profit maximization which can be adopted globally to overcome chronic water problems.;Karthikeyan Moothampalayam SampathkumarSaravanan RamasamyBalamurugan RamasubbuSaravanan KaruppananBalaji LakshminarayananIWA Publishingarticleant colony optimizationbacterial foraging optimizationconjunctive usecropping patterngenetic algorithmhybrid optimizationEnvironmental technology. Sanitary engineeringTD1-1066ENWater Science and Technology, Vol 84, Iss 10-11, Pp 3055-3071 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	ant colony optimization bacterial foraging optimization conjunctive use cropping pattern genetic algorithm hybrid optimization Environmental technology. Sanitary engineering TD1-1066
spellingShingle	ant colony optimization bacterial foraging optimization conjunctive use cropping pattern genetic algorithm hybrid optimization Environmental technology. Sanitary engineering TD1-1066 Karthikeyan Moothampalayam Sampathkumar Saravanan Ramasamy Balamurugan Ramasubbu Saravanan Karuppanan Balaji Lakshminarayanan Hybrid optimization model for conjunctive use of surface and groundwater resources in water deficit irrigation system
description	The increasing demand for food production with limited available water resources poses a threat to agricultural activities. Conventional optimization algorithms increase the processing stage and perform in the space allocated from user. Therefore, the proposed work was used to design better performance results. The conjunctive allocation of water resources maximizes the net benefit of farmers. In this study, the novel hybrid optimization model developed is the first of its kind and was designed to resolve the sharing of water resource conflict among different reaches based on a genetic algorithm (GA), bacterial foraging optimization (BFO) and ant colony optimization (ACO) to maximize the net benefit of the water deficit in Sathanur reservoir command. The GA-based optimization model considered crop-related physical and economic 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 reaches obtained from the BFO is considered as an input to the ACO as a guiding mechanism to attain an optimal cropping pattern. Comparing the average productivity 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 for enhancing farmer's net income and can be replicated in other irrigated regions to overcome chronic water problems. The productivity value of policy 3 was 6.54% greater than that of policy 2, whereas that of policy 1 was 6.45% greater. Overall, the comparison shows that the better performance analysis of various optimization was done successfully. HIGHLIGHTS Hybrid optimization model using three meta-heuristic algorithms (GA, BFO and ACO) was developed.; The developed hybrid model is used for optimizing the cropping area, conjunctive water allocation and net returns for different reaches.; The net returns from the developed hybrid model (GA-BFO-ACO) outperform GA- BFO model.; The developed hybrid model is the first of its kind to unravel the sharing of water resources for profit maximization which can be adopted globally to overcome chronic water problems.;
format	article
author	Karthikeyan Moothampalayam Sampathkumar Saravanan Ramasamy Balamurugan Ramasubbu Saravanan Karuppanan Balaji Lakshminarayanan
author_facet	Karthikeyan Moothampalayam Sampathkumar Saravanan Ramasamy Balamurugan Ramasubbu Saravanan Karuppanan Balaji Lakshminarayanan
author_sort	Karthikeyan Moothampalayam Sampathkumar
title	Hybrid optimization model for conjunctive use of surface and groundwater resources in water deficit irrigation system
title_short	Hybrid optimization model for conjunctive use of surface and groundwater resources in water deficit irrigation system
title_full	Hybrid optimization model for conjunctive use of surface and groundwater resources in water deficit irrigation system
title_fullStr	Hybrid optimization model for conjunctive use of surface and groundwater resources in water deficit irrigation system
title_full_unstemmed	Hybrid optimization model for conjunctive use of surface and groundwater resources in water deficit irrigation system
title_sort	hybrid optimization model for conjunctive use of surface and groundwater resources in water deficit irrigation system
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/6cbcaf6b15a0400a9df6bd2de8994ab4
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_version_	1718399287582261248

Hybrid optimization model for conjunctive use of surface and groundwater resources in water deficit irrigation system

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