Optimization of Multi-Objective Crop Pattern Based on Water and Fertilizer Resources Allocation

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To enhance the utilization efficiency of water and fertilizer resources, and improve agricultural ecological environment in resettlement area, a crop planting structure optimization model was established by the use of multiple objective linear programming (MOLP) method, and solved by two-phase algorithm. In this model, multiple targets, such as the economic, social and ecological benefits of this region were taken into account. The results showed that the MOLP model and its solution were feasible and practical. The optimized area of rice, corn and tobacco reduced by 16%, 100% and 76% respectively, and the optimized area of wheat and sugarcane increased by 82% and 78% compared with the current planting area. And the net economic and social benefits increased by 4% and 62%. The optimization scheme played a guiding role in the adjustment of agricultural structure, and promoted the sustainable development of agriculture in resettlement area.

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1034-1038

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February 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Dongguo Shao, Longgen Guo, Xiugui Wang, et al. Efficient utilization of water and fertilizer[M]. Beijing: Science Press, 2012: 1-3. (In Chinese).

Google Scholar

[2] Onta P. R., G. A. Das, G. N. Paudyal. Integrated irrigation development planning by multi-objective optimization. Water Resour D. Vol. 7 (1991), p.185.

DOI: 10.1080/07900629108722511

Google Scholar

[3] Zimmermann H. J. Fuzzy programming and linear programming with several objective functions [J]. Fuzzy Sets and Systems. Vol. 1(1) (1978), p.44.

DOI: 10.1016/0165-0114(78)90031-3

Google Scholar

[4] C. S. Lee, C. G. Wen. Fuzzy goal programming approach for water quality management in a river basin. Fuzzy Sets and Systems. Vol. 89 (1997), p.181.

DOI: 10.1016/s0165-0114(96)00089-9

Google Scholar

[5] H. W. Chen, N. B. Chang. Water pollution control in the river basin by fuzzy genetic algorithm-based multi-objective programming modeling. Wat. Sci. Tech. Vol. 37(3) (1998), p.55.

DOI: 10.2166/wst.1998.0308

Google Scholar

[6] Lixin Zhang, Juncang Tian. Study on multi-objective water resource optimal allocation in Yellow River north main canal irrigation area[J]. Yangtze River. Vol. 42(13) (2011), p.95(In Chinese).

Google Scholar

[7] Duanmei Zhang, Xiujuan Liang, Qinwei Li, et al. Study on model with multi-objective optimization of planting structure in irrigation area[J]. Yellow river. Vol. 35(1) (2013), p.91(In Chinese).

Google Scholar

[8] W. F. Ma, X. H. Zhao, H. Y. Wang, Fuzzy Optimal Allocation of Reclaimed and Natural Water Resources for Agricultural Irrigation[J]. Journal of Agro-Environment Science. Vol. 23(4) (2004), p.770.

Google Scholar

[9] Jinghuan Tian, Linjuan Liu. Study on multi-objective optimal allocation method for regional water resources and its application[J]. Yellow river. Vol. 35(1) (2013), p.29(In Chinese).

Google Scholar

[10] Xuequan Li, Hui Li. Fuzzy compromise method for multi-objective linear programming problems[J]. J. Cent. South Univ. (science and technology). Vol. 35(3) (2004), p.516(In Chinese).

Google Scholar