Document Type : Original Article

Author

• Adel Bavi

Assistant Professor

Abstract

The AquaCrop model is one of the crop models for wheat yield simulation, which is used by many researchers around the world. This model is sensitive to the input parameters, and knowing the level of this sensitivity helps users to use it faster and more accurately. Considering that the sensitivity analysis of the AquaCrop model to the input parameters has so far been limited by the use of data from experimental pilots; not enough information is available to extend it to real conditions in farmers' fields. To solve this problem, the present research was conducted using data collected during four consecutive years (2020 to 2023) in Shush and Ahvaz cities, Iran. The results showed that the AquaCrop model has a high sensitivity to changes in normalized water productivity, harvest index and maximum crop coefficient for transpiration (0.2<Sp<1.0), medium sensitivity to crop growth canopy coefficient (0.05<Sp<0.2 ) and had a low sensitivity (Sp<0.05) to the crop decline canopy coefficient and the initial crop canopy coefficient. This sensitivity was constant to spatial changes (from Shush to Ahvaz) but variable to temporal changes (from 2020 to 22023). In fact, with the improvement of wheat yield during the studied years, the sensitivity of the AquaCrop model decreased.

Keywords

• Normalized Water Productivity
• Sensitivity Analysis
• Harvest Index

Main Subjects

• Drought