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| DOI：10.13522/j.cnki.ggps.2017.0498 |
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| Multi-objective Optimization of Main Crops Cultivation in Manasi County Using the Genetic Algorithm with the “Three Red Lines” in Consideration |
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MA Linxiao, HE Ying, LIN Li, PENG Liang
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College of Water Conservancy and Civil Engineering, Xinjiang Agricultural University, Urumqi 830052, China
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| Abstract: |
| 【Objective】 Adjusting crops cultivation is one way to develop sustainable agriculture for areas where available water resources are limited. The objective of this paper is to show how to achieve this using multi-objective optimization methods. 【Method】 We took Manasi County in Xinjiang as an example and developed a multi-objective optimization model to calculate the optimal cultivation areas of main crops using the genetic algorithm with the “three red lines” proposed for economic development in the region in consideration. The model was solved using MATLAB, which was then applied to calculate the optimal cultivation areas of the main crops for 2020 and 2030 in this county. 【Result】 The calculated results showed that the cultivation area of the wheat can remain as what it is, yet the areas for corns, helianthus and beetroots should be increased and the areas of cotton decreased.. These could save the water used for irrigation by 1.370 1 million m3. As for 2020 and 2030, the local government could give priority to increasing the cultivation areas of corns and helianthus. When the cultivated areas for each crop was established, the area of cotton could be increased if the irrigation water use coefficient can be improved. 【Conclusion】 Adjusting the current cultivation areas of the main crops can deliver economic and social benefits to the county. |
| Key words: planting structure; optimal scheme; three red lines; model; multi-objective optimization |
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