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Article

Multi-Objective Crop Planting Structure Optimisation Based on Game Theory

by 1, 1,*, 2,3,4 and 1
1
School of Municipal and Environmental Engineering, Henan University of Urban Construction, Pingdingshan 467000, China
2
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing 210029, China
3
Yangtze Institute for Conservation and Development, Nanjing 210098, China
4
Research Center for Climate Change of Ministry of Water Resources, Nanjing 210029, China
*
Author to whom correspondence should be addressed.
Academic Editors: Sisira Withanachchi and Adriana Bruggeman
Water 2022, 14(13), 2125; https://doi.org/10.3390/w14132125
Received: 7 May 2022 / Revised: 23 June 2022 / Accepted: 1 July 2022 / Published: 3 July 2022
(This article belongs to the Special Issue Advance in Water Management and Water Policy Research)
To realise the ecological protection and high-quality development of the Yellow River Basin and transition from extensive utilisation to intensive conservation of agricultural water, a multi-objective crop planting structure optimisation model was established. The model enabled highly efficient crop planting in terms of net income with high yield and low consumption of water. Thereafter, the game algorithm was used to balance different requirements of each objective function under each constraint, both competitively and cooperatively, to obtain an optimal crop planting structure. Finally, the proposed model and analysis method were demonstrated and verified using the Xiaolangdi south bank irrigation area as an example. The results indicated that using the competitive game algorithm produced a superior crop planting structure in terms of high net income, high yield, and low water usage, suggesting that the relationships between game players and objective functions should be considered in designing the optimisation model. Thus, the proposed approach provides a theoretical basis for the sustainable development of the agricultural industry by realising the intensive utilisation of water resources in a particular irrigation area. View Full-Text
Keywords: intensive utilisation of water resources; game algorithm; crop planting structure; multi-objective optimisation intensive utilisation of water resources; game algorithm; crop planting structure; multi-objective optimisation
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MDPI and ACS Style

Wu, L.; Tian, J.; Liu, Y.; Jiang, Z. Multi-Objective Crop Planting Structure Optimisation Based on Game Theory. Water 2022, 14, 2125. https://doi.org/10.3390/w14132125

AMA Style

Wu L, Tian J, Liu Y, Jiang Z. Multi-Objective Crop Planting Structure Optimisation Based on Game Theory. Water. 2022; 14(13):2125. https://doi.org/10.3390/w14132125

Chicago/Turabian Style

Wu, Li, Junfeng Tian, Yanli Liu, and Zhongfeng Jiang. 2022. "Multi-Objective Crop Planting Structure Optimisation Based on Game Theory" Water 14, no. 13: 2125. https://doi.org/10.3390/w14132125

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