Sensitivity Analysis of AquaCrop Model Parameters for Winter Wheat under Different Meteorological Conditions Based on the EFAST Method

Huimin Xing, Qi Sun, Zhiguo Li, Zhen Wang, Haikuan Feng
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Abstract

To analyze the global sensitivity of winter wheat parameters using the AquaCrop model on a global scale, the extended Fourier amplitude sensitivity test (EFAST) was utilized to identify parameter sensitivity differences in different regions and meteorological conditions represented by eight stations in Henan Province, including Zhengzhou, Anyang, Shangqiu, Luanchuan, Nanyang, Xuchang, Zhumadian, and Xinyang. The results showed that: (1) the sensitivity of crop parameters is little affected by meteorological conditions for biomass, and the sensitivity parameters of the eight regions were consistent; there were minimum growing degrees required for total biomass production ( stbio ), normalized water productivity ( wp ), maximum canopy cover in fraction soil cover ( mcc ), crop coefficient when the canopy was complete but prior to senescence ( kcb ), Growing degree-days (GDD)-from sowing to emergence ( eme ), and GGD-increase in canopy cover ( cgc ); (2) for canopy cover, the most sensitive parameters were mcc , cgc , soil surface covered by an individual seedling at 90% emergence ( ccs ), and other parameters were more sensitive in early growth stage of winter wheat; (3) for yield, GDD-from sowing to flowering ( flo ) was the most sensitive parameter. The results of this study will provide support for the use of the AquaCrop model to investigate crop management at the local level.
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基于 EFAST 方法的不同气象条件下冬小麦 AquaCrop 模型参数灵敏度分析
为了在全球范围内利用 AquaCrop 模型分析冬小麦参数的全球敏感性,利用扩展傅立叶振幅敏感性检验(EFAST)识别了以河南省郑州、安阳、商丘、栾川、南阳、许昌、驻马店和信阳等 8 个站为代表的不同区域和气象条件下的参数敏感性差异。结果表明(1)作物参数的敏感性受气象条件对生物量的影响较小,8 个地区的敏感性参数一致;生物量总产量所需的最低生长度(stbio)、归一化水分生产率(wp)、最大冠层覆盖率(mcc)、冠层完整但衰老前的作物系数(kcb)、从播种到出苗的生长度日(GDD)(eme)和增加冠层覆盖率的生长度日(cgc);(2)对于冠层覆盖率,最敏感的参数是 mcc、ccc 和出苗率为 90%时单株幼苗覆盖的土壤表面积(ccs),其他参数在冬小麦生长早期较为敏感;(3)对于产量,播种至开花的生长度日(GDD)(flo)是最敏感的参数。这项研究的结果将为利用 AquaCrop 模型研究当地的作物管理提供支持。
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