Global Sensitivity Analysis of Crop Parameters Based on AquaCrop Model

When the model is applied to a new area, the first thing to consider is the problem of localization correction, and parameter sensitivity analysis is an important part of it. In this study, the AquaCrop model was used to simulate the growth process of tea trees, and the parameter sensitivity of the model was tested by the method of EFAST. The results show that the crop parameters with high sensitivity to AGB are mainly KCB, wp, Tbase, den, and Hi; the crop parameters with high sensitivity to CC are mainly CGC, den, Tbase, mcc, wp, and KCB; the crop parameters with high sensitivity to Y are mainly The main crop parameters are Hi, den, wp, KCB, CGC, and Tbase. Overall, the AquaCrop model is mainly affected by the crop canopy coefficient, phenological development coefficient, biomass coefficient, and yield coefficient. Considering that sensitive parameters greatly influence the output, the sensitive parameters should be calibrated first, and the insensitive parameters can be set to fixed values to reduce the workload. More attention should be paid to the interaction between parameters when studying crop models. This helps to correctly understand the structure of the crop model and the role of each parameter, achieve an accurate simulation of the growth process, and improve the simulation accuracy.