ORIGINAL RESEARCH
Sensitivity Analysis of AquaCrop Model
Parameters for Winter Wheat under
Different Meteorological Conditions
Based on the EFAST Method
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1
College of Surveying and Planning, Shangqiu Normal University, Shangqiu, 476000, China
2
Henan Agricultural Remote Sensing Big Data Development and Innovation Laboratory,
Shangqiu Normal University, Shangqiu, 476000, China
3
Engineering Technology Research Center of Remote Sensing Big Data and Smart Agriculture,
Shangqiu Normal University, Shangqiu, 476000, China
4
Henan Engineering Technology Research Center of Ecological Protection and Management of the Old Course
of Yellow River, Shangqiu Normal University, Shangqiu, 476000, China
5
Information Technology Research Center, Beijing Academy of Agriculture and Forest Sciences, Beijing 100097, China
Submission date: 2023-10-12
Final revision date: 2024-01-16
Acceptance date: 2024-03-14
Online publication date: 2024-07-23
Corresponding author
Huimin Xing
College of Surveying and Planning, Shangqiu Normal University, Shangqiu, 476000, China
Zhiguo Li
College of Surveying and Planning, Shangqiu Normal University, Shangqiu, 476000, China
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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.