| Global sensitivity analysis of N2O emission of APSIM model based on EFAST method |
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| DOI：10.7606/j.issn.1000-7601.2024.06.25 |
| Key Words: spring wheat EFAST method APSIM model N2O emission sensitive analysis |
| Author Name | Affiliation | | XU Zixiang | College of Information Scienceand Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China | | DONG Lixia | College of Information Scienceand Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China | | LI Guang | College of Forestry, Gansu Agricultural University, Lanzhou, Gansu 730070, China | | YAN Zhengang | College of Information Scienceand Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China | | WANG Jun | College of Information Scienceand Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China | | NIE Zhigang | College of Information Scienceand Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China | | LU Yulan | College of Information Scienceand Technology, Gansu Agricultural University, Lanzhou, Gansu 730070, China |
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| Abstract: |
| To quantitatively discuss the impact of various parameters in the APSIM model on N2O gas emissions from dryland wheat fields, the spring wheat variety ‘Dingxi 35’ from 2019 to 2021 was selected as the research object. The Extended Fourier Amplitude Sensitivity Test method was used to analyze the sensitivity of various parameters affecting the model output of spring wheat, focusing on the influence of model inputs on crop variety parameters, meteorological parameters, soil parameters, and management parameters on the model output. The results indicated that the most sensitive crop variety parameter affecting the N2O gas emission index of spring wheat was the accumulated temperature from emergence to jointing stage, followed by the accumulated temperature at the initial flowering stage, the accumulated temperature at the filling stage, vernalization sensitivity index, potential filling rate, and photoperiod sensitivity index. Among meteorological parameters, the most sensitive to the N2O gas emission index is the daily maximum temperature, followed by rainfall and daily minimum temperature. For soil parameters, the most sensitive to the N2O gas emission index was the field capacity, followed by soil bulk density, wheat wilting coefficient, and wheat water absorption coefficient. Among management parameters, the most sensitive to the N2O gas emission index was the amount of fertilizer applied. The EFAST method can quickly screen sensitive parameters of the model and simplify the parameter calibration process. |
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