Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.agwat.2018.06.029 |
Optimization of irrigation scheduling for spring wheat based on simulation-optimization model under uncertainty | |
Li, Jiang1,2; Song, Jian1; Li, Mo3; Shang, Songhao2; Mao, Xiaomin1; Yang, Jian1; Adeloye, Adebayo J.4 | |
通讯作者 | Mao, Xiaomin |
来源期刊 | AGRICULTURAL WATER MANAGEMENT
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ISSN | 0378-3774 |
EISSN | 1873-2283 |
出版年 | 2018 |
卷号 | 208页码:245-260 |
英文摘要 | Water scarcity is the major constraint to social-economic development in arid and semiarid regions, where irrigation needs to be scheduled properly for the main crops. In this study, a simulation-optimization model for crop optimal irrigation scheduling under uncertainty was developed to maximize the net benefit. The model integrated a water-driven crop model (AquaCrop) with the optimization model, and incorporated the generation technique for the interval values of hydrological parameters (i.e., precipitation and evapotranspiration) and crop market prices to deal with uncertainties in these variables. The water price was assumed constant. The model was calibrated based on field experimental data obtained in 2014 and validated using 2015 data. The field experiments involved spring wheat (Yongliang No. 4) at Shiyang River Basin Experiment Station in Wuwei City, Gansu Province of Northwest China. The model was then used to generate the optimal irrigation schedules under various irrigation amounts, irrigation events, initial soil water storage and crop market price under uncertainty. Results indicated that the model is applicable for reflecting the complexities of simulation-optimization under uncertainties for spring wheat irrigation water scheduling. The optimization results indicated that the optimal irrigation amount range was [185, 322] mm with the corresponding optimal net benefit of [1.05, 2.77] x 10(4) Yuan/hm(2) and yield of [7.4, 7.6] kg/hm(2) for extreme wet conditions in the basin (defined as the combination of the 5% frequency precipitation with 95% frequency evapotranspiration). For extreme dry conditions, the optimal irrigation amount range was [442, 507] mm with the optimal net benefit of [0.85, 2.64] x 10 (4) Yuan/hun(2) and the corresponding yield of [6.6, 7.4] kg/hm(2). Results also showed that four irrigation events under higher initial soil water storage were more likely to produce the higher net benefit and the optimal net benefit would increase as the crop market price increases, as expected. This work can be used to guide irrigation management for local farmers. |
英文关键词 | Irrigation optimization AquaCrop Interval numbers Bootstrap Genetic algorithm Spring wheat |
类型 | Article |
语种 | 英语 |
国家 | Peoples R China ; Scotland |
收录类别 | SCI-E |
WOS记录号 | WOS:000441856800023 |
WOS关键词 | FAO CROP MODEL ; WATER-USE EFFICIENCY ; YIELD RESPONSE ; SEED PRODUCTION ; DEFICIT IRRIGATION ; AQUACROP MODEL ; SOIL-WATER ; MAIZE ; ALLOCATION ; EVAPOTRANSPIRATION |
WOS类目 | Agronomy ; Water Resources |
WOS研究方向 | Agriculture ; Water Resources |
来源机构 | 中国农业大学 ; 清华大学 |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/207395 |
作者单位 | 1.China Agr Univ, Coll Water Resources & Civil Engn, Ctr Agr Water Res China, Beijing 100083, Peoples R China; 2.Tsinghua Univ, Dept Hydraul Engn, State Key Lab Hydrosci & Engn, Beijing 100084, Peoples R China; 3.Northeast Agr Univ, Sch Water Conservancy & Civil Engn, Harbin 150030, Heilongjiang, Peoples R China; 4.Heriot Watt Univ, Inst Infrastruct & Environm, Edinburgh EH14 4AS, Midlothian, Scotland |
推荐引用方式 GB/T 7714 | Li, Jiang,Song, Jian,Li, Mo,et al. Optimization of irrigation scheduling for spring wheat based on simulation-optimization model under uncertainty[J]. 中国农业大学, 清华大学,2018,208:245-260. |
APA | Li, Jiang.,Song, Jian.,Li, Mo.,Shang, Songhao.,Mao, Xiaomin.,...&Adeloye, Adebayo J..(2018).Optimization of irrigation scheduling for spring wheat based on simulation-optimization model under uncertainty.AGRICULTURAL WATER MANAGEMENT,208,245-260. |
MLA | Li, Jiang,et al."Optimization of irrigation scheduling for spring wheat based on simulation-optimization model under uncertainty".AGRICULTURAL WATER MANAGEMENT 208(2018):245-260. |
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