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CERES-Wheat作物模型参数全局敏感性分析

姜志伟 陈仲新 周清波 任建强

农业工程学报2011,Vol.27Issue(1):236-242,7.
农业工程学报2011,Vol.27Issue(1):236-242,7.DOI:10.3969/j.issn.1002-6819.2011.01.038

CERES-Wheat作物模型参数全局敏感性分析

Global sensitivity analysis of CERES-Wheat model parameters

姜志伟 1陈仲新 2周清波 1任建强2

作者信息

  • 1. 农业部资源遥感与数字农业重点开放实验室,北京,100081
  • 2. 中国农业科学院农业资源与农业区划研究所,北京,100081
  • 折叠

摘要

Abstract

Crop growth models have been applied extensively in the regional crop yield prediction and estimation.It is very important to select the most sensitive model parameters for the model optimization and better model output.The Extend Fourier Amplitude Sensitivity Test (EFAST) was used to analyze the sensitivity of CERES-Wheat model parameters in a study region in Luoyang, Henan province.The sensitivity of crop and field management parameters were analyzed.The results show that these parameters including the interval between successive leaf tip appearances, days at optimum vernalizing temperature required to complete vernalization, percentage reduction in development rate in a photoperiod 10 hour shorter than the threshold relative to that at the threshold, standard kernel size under optimum conditions, kernel number per unit canopy weight at anthesis are the key sensitive parameters which should be firstly selected for the model localization.The optimal parameters selected for application of model in regional scale are planting date, planting density, fertilization date, planting depth and irrigation date.The research showed that the global sensitivity analysis in EFAST is effective for parameter selection in the crop growth model optimization to improve its performance at regional scale.

关键词

作物/敏感性分析/模型

Key words

crops/ sensitivity analysis/ models

分类

农业科技

引用本文复制引用

姜志伟,陈仲新,周清波,任建强..CERES-Wheat作物模型参数全局敏感性分析[J].农业工程学报,2011,27(1):236-242,7.

基金项目

农业部"948计划"项目(2009-Z31,2010-S2) (2009-Z31,2010-S2)

国际科技合作项目(2010DFB10030) (2010DFB10030)

国家自然科学基金(40971218). (40971218)

农业工程学报

OA北大核心CSCDCSTPCD

1002-6819

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