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  4. 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

文献类型：期刊论文

作者Zhou, Jian2; Cheng, Guodong2; Li, Xin2; Hu, Bill X.1,3; Wang, Genxu4
刊名SOIL SCIENCE SOCIETY OF AMERICA JOURNAL
出版日期2012-03-01
卷号76期号:2页码:648-662
关键词Arid regions Crops Cultivation Evolutionary algorithms Inverse problems Irrigation Mathematical models Plants (botany) Soil moisture Transpiration Water resources Water supply
ISSN号0361-5995
通讯作者Hu, Bill X
合作状况国内
中文摘要To 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.
英文摘要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.
WOS标题词Science & Technology ; Life Sciences & Biomedicine
类目[WOS]Soil Science
研究领域[WOS]Agriculture
关键词[WOS]WATER-USE EFFICIENCY ; CROP GROWTH ; HYDRAULIC CONDUCTIVITY ; SIMULATION-MODELS ; SOIL ; CLIMATE ; EQUATION ; EXCHANGE ; SYSTEMS ; CARBON
收录类别SCI
语种英语
WOS记录号WOS:000300644400033
公开日期2013-09-10
源URL[http://ir.imde.ac.cn/handle/131551/6277]  
专题成都山地灾害与环境研究所_山地表生过程与生态调控重点实验室
作者单位1.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
推荐引用方式
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.

入库方式： OAI收割

来源：成都山地灾害与环境研究所

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