IMHE OpenIR  > 山地表生过程与生态调控重点实验室
Numerical Modeling of Wheat Irrigation using Coupled HYDRUS and WOFOST Models
Zhou, Jian2; Cheng, Guodong2; Li, Xin2; Hu, Bill X.1,3; Wang, Genxu4
Corresponding AuthorHu, Bill X
2012-03-01
Source PublicationSOIL SCIENCE SOCIETY OF AMERICA JOURNAL
ISSN0361-5995
Volume76Issue:2Pages:648-662
SubtypeArticle
AbstractTo effi ciently manage water resources in agriculture, the hydrologic model HYDRUS-1D and the crop growth model WOFOST were coupled to improve crop production prediction through accurate simulations of actual transpiration with a root water uptake method and soil moisture profile with the Richards equation during crop growth. An inverse modeling method, the shuffl ed complex evolution algorithm, was used to identify soil hydraulic parameters for simulating the soil moisture profile. The coupled model was validated by experimental study on irrigated wheat (Triticum aestivum L.) in the middle reaches of the Heihe River, northwest China, in a semiarid and arid region. Good agreement was achieved between the simulated actual evapotranspiration, soil moisture, and crop production and their respective fi eld measurements under a realistic irrigation scheme. A water stress factor, actual root uptake with potential transpiration, is proposed as an indicator to guide irrigation. Numerical results indicated that the irrigation scheme guided by the water stress factor can save 27% of irrigation water compared with the current irrigation scheme. Based on the calibrated model, uncertainty and sensitivity analysis methods were used to predict the risk of wheat production loss with decreasing irrigation and to study the effects of coupled model parameters and environmental factors on wheat production. The analysis revealed that the most suitable groundwater depth for wheat growth is 1.5 m. These results indicate that the coupled model can be used for analysis of schemes for saving water and study of the interaction between crop growth and the hydrologic cycle.; To efficiently manage water resources in agriculture, the hydrologic model HYDRUS-1D and the crop growth model WOFOST were coupled to improve crop production prediction through accurate simulations of actual transpiration with a root water uptake method and soil moisture profile with the Richards equation during crop growth. An inverse modeling method, the shuffled complex evolution algorithm, was used to identify soil hydraulic parameters for simulating the soil moisture profile. The coupled model was validated by experimental study on irrigated wheat (Triticum aestivum L.) in the middle reaches of the Heihe River, northwest China, in a semiarid and arid region. Good agreement was achieved between the simulated actual evapotranspiration, soil moisture, and crop production and their respective field measurements under a realistic irrigation scheme. A water stress factor, actual root uptake with potential transpiration, is proposed as an indicator to guide irrigation. Numerical results indicated that the irrigation scheme guided by the water stress factor can save 27% of irrigation water compared with the current irrigation scheme. Based on the calibrated model, uncertainty and sensitivity analysis methods were used to predict the risk of wheat production loss with decreasing irrigation and to study the effects of coupled model parameters and environmental factors on wheat production. The analysis revealed that the most suitable groundwater depth for wheat growth is 1.5 m. These results indicate that the coupled model can be used for analysis of schemes for saving water and study of the interaction between crop growth and the hydrologic cycle.
KeywordArid Regions Crops Cultivation Evolutionary Algorithms Inverse Problems Irrigation Mathematical Models Plants (Botany) Soil Moisture Transpiration Water Resources Water Supply
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
DOI10.2136/sssaj2010.0467
WOS Subject ExtendedAgriculture
Indexed BySCI
WOS KeywordWATER-USE EFFICIENCY ; CROP GROWTH ; HYDRAULIC CONDUCTIVITY ; SIMULATION-MODELS ; SOIL ; CLIMATE ; EQUATION ; EXCHANGE ; SYSTEMS ; CARBON
Language英语
WOS SubjectSoil Science
WOS IDWOS:000300644400033
Funding OrganizationChinese Academy of Sciences(KZCX2-YW-Q10-1) ; NSFC (National Science Foundation of China)(40901020)
Citation statistics
Cited Times:40[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/6277
Collection山地表生过程与生态调控重点实验室
Affiliation1.China Univ Geosci, Beijing 100083, Peoples R China
2.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou 730000, Peoples R China
3.Florida State Univ, Dept Geol Sci, Tallahassee, FL 32306 USA
4.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China
Recommended Citation
GB/T 7714
Zhou, Jian,Cheng, Guodong,Li, Xin,et al. Numerical Modeling of Wheat Irrigation using Coupled HYDRUS and WOFOST Models[J]. SOIL SCIENCE SOCIETY OF AMERICA JOURNAL,2012,76(2):648-662.
APA Zhou, Jian,Cheng, Guodong,Li, Xin,Hu, Bill X.,&Wang, Genxu.(2012).Numerical Modeling of Wheat Irrigation using Coupled HYDRUS and WOFOST Models.SOIL SCIENCE SOCIETY OF AMERICA JOURNAL,76(2),648-662.
MLA Zhou, Jian,et al."Numerical Modeling of Wheat Irrigation using Coupled HYDRUS and WOFOST Models".SOIL SCIENCE SOCIETY OF AMERICA JOURNAL 76.2(2012):648-662.
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