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AquaCrop模型的适用性及应用初探

李会 刘钰 蔡甲冰 毛晓敏

灌溉排水学报2011,Vol.30Issue(3):28-33,6.
灌溉排水学报2011,Vol.30Issue(3):28-33,6.

AquaCrop模型的适用性及应用初探

The Applicability and Application of AquaCrop Model

李会 1刘钰 2蔡甲冰 1毛晓敏1

作者信息

  • 1. 中国水利水电科学研究院水利所,北京,100048
  • 2. 中国农业大学水利与土木工程学院,北京,100083
  • 折叠

摘要

Abstract

AquaCrop model driven by water is a new crop simulated model recommend by FAO. In order to evaluate its applicability in North China , this irrigation experiment for summer maize was conducted in two successive year (2009-2010) in Daxing station in north china plain, of which, the measured date in 2010 was used to calibrate the crop parameters, and the other was used to test it. Then the OTA method was a-dopted to analyze sensitivities of the model parameter. The validation results showed that the AquaCrop model could preferably simulate the yield, biomass and the dynamic changes of canopy cover and soil moisture of summer maize. The relative error of simulated yield and biomass is 0%~15. 6%. For simulated the process of canopy cover and soil moisture, the minimum correlation coefficient of determination were 0. 657, 0. 959, the maximum of root mean square error 5. 837%, 1. 873 m3/m3 and the minimum model efficiency was 0. 670, 0. 956 respectively. The results of the sensitivity analysis showed that the day to CCx, the start date of canopy senescence, field capacity, wilting moisture content ,initial moisture content a-mong all of model parameters had the most significant influence on the simulation result, the sensitivity degree was 0. 161 4~0. 398 2. It marked the good applicability and the broad development prospects of AquaCrop model in this area.

关键词

AquaCrop模型/华北平原/夏玉米/参数率定和验证/敏感性分析;应用

Key words

AquaCrop model/ North China/ Summer maize/ parameter calibration and validation/ sensitivity analysis/ application

分类

农业科技

引用本文复制引用

李会,刘钰,蔡甲冰,毛晓敏..AquaCrop模型的适用性及应用初探[J].灌溉排水学报,2011,30(3):28-33,6.

基金项目

国家自然科学基金项目(50909098) (50909098)

973计划资助项目(2006CB403405) (2006CB403405)

中国水科院研究专项(节集0906) (节集0906)

灌溉排水学报

OA北大核心CSCDCSTPCD

1672-3317

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