DSF-GWO 算法在玛纳斯河灌区种植 结构优化中的应用. (Chinese)
In: Journal of Drainage & Irrigation Machinery Engineering / Paiguan Jixie Gongcheng Xuebao, Jg. 41 (2023-09-01), Heft 9, S. 943-951
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Zugriff:
Aiming at the scientific problems of optimization of planting structure and rational allocation of agricultural water in the Manas River irrigation area under the constraint of total water resources, based on the planting structure of four typical crops, wheat, cotton, corn and grape, in Manas Riverirrigation area (Shihezi irrigation area, Mosuowan irrigation area, and Xiayedi irrigation area), a multi-objective optimal allocation model was constructed to optimize and adjust the crop planting structure. The improved Gray Wolf optimization algorithm (DSF-GWO) was used to solve four development scenarios: social satisfaction type (Plan 1), water-saving type (Plan 2), economic cost type (Plan 3), and comprehensive development type (Plan 4). The results show that the ecological and social benefits of Plan 3 are 4.3% and 7.3% lower than those of Plan 2, respectively, when the two produce the same economic benefits. Therefore, Plan 2 is more suitable for the development requirements of planting structures in the Shihezi irrigation area. The economic benefits of Plan 4 in the Mosuowan irrigation area are 3.6% and 4.2% higher than those of Plan 1 and 3, respectively, and the ecological benefits are 0.5% higher than those of Plan 2. Therefore, the section of Plan 4 is in line with the development needs of planting structure in the planned year of the Mosuowan irrigation area. The economic and social benefits generated by Plan 4 are higher than those of other plans, and the ecological benefits are less different than those of other plans. Therefore, Plan 4 is selected to adjust the planting structure of the planned year in the Xiayedi irrigation area. [ABSTRACT FROM AUTHOR]
针对水资源总量约束条件下玛纳斯河灌区种植结构优化和农业用水合理配置的科学问 题, 以玛纳斯河灌区(石河子灌区, 莫索湾灌区和下野地灌区)小麦, 棉花, 玉米, 葡萄4种典型作 物种植结构为基础, 构建多目标优化配置模型对作物种植结构进行优化调整, 采用改进后的灰 狼优化算法 (DSF-GWO) 求解社会满足型(方案 1), 节水优先型(方案2), 经济成本型(方案3), 综合发展型(方案 4) 4 种发展情景下的子灌区农业种植结构优化方案.结果表明:石河子灌区方 案 2 和方案 3 产生相同经济效益时, 方案3的生态, 社会效益比方案 2 分别低 4.3% 和 7.3%, 因 此, 方案 2 较适合石河子灌区规划年种植结构发展要求;莫索湾灌区方案4产生的经济效益分别 高于方案1和方案 3 的 3.6%和4.2%, 生态效益高于方案 2 的 0.5%, 因此, 选择方案 4 符合莫索 湾灌区规划年种植结构发展需求;下野地灌区方案 4 产生的经济, 社会效益均高于其他方案, 生 态效益对比其他方案相差较小, 所以选择方案4对下野地灌区规划年种植结构进行调整. [ABSTRACT FROM AUTHOR]
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Titel: |
DSF-GWO 算法在玛纳斯河灌区种植 结构优化中的应用. (Chinese)
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Autor/in / Beteiligte Person: | 潘月 ; 杨广 ; 薛联青 ; 许新港 ; 古力生木·安甫丁 ; 黄洲 ; 王文赞 ; 冉茂林 |
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Zeitschrift: | Journal of Drainage & Irrigation Machinery Engineering / Paiguan Jixie Gongcheng Xuebao, Jg. 41 (2023-09-01), Heft 9, S. 943-951 |
Veröffentlichung: | 2023 |
Medientyp: | academicJournal |
ISSN: | 1674-8530 (print) |
DOI: | 10.3969/j,issn.1674-8530.22.0164 |
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