Arid
DOI10.1016/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
ISSN0378-3774
EISSN1873-2283
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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