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- Title
基于 AquaCrop 模型的芝麻作物参数敏感性 分析及模型适用性评价.
- Authors
李梦瑶; 关皓月; 张建涛; 黄 明; 李 丰; 戎亚思; 李友军; 李国强
- Abstract
The objective is to enhance the calibration efficiency of the AquaCrop model for sesame crop parameters and verify the applicability of the model. The initial value and value range of sesame crop parameters were determined based on the experimental data (2022—2023) and related literatures. The EFAST method was used to perform global sensitivity analysis of 53 sesame crop parameters, uncertainty analysis of simulation results and parameters calibration validation. The results showed that 27 parameters were sensitive to the maximum biomass of each treatment, including CDM, CDSE, POFE, RSWT, PSENSP, PSTOSP, RSWB and ECSW with TSi above 0. 3. And 14 parameters were sensitive to grain yield of each treatment, including POHX, RSWT, CDSE, DMCON, PSTO and PSTOSP with TSi higher than 0. 2. The decision coefficient (R²) of simulated and measured canopy coverage and aboveground biomass ranged from 0. 875 to 0. 954 and 0. 951 to 0. 970, respectively. Futhermore, the normalized root mean square error (NRMSE) ranged from 11. 5% to 18. 1% and 18. 9% to 27. 7%, respectively. Meanwhile, the Nash‑Sutcliffe efficiency coefficients (NSE) were 0. 873—0. 940 and 0. 930—0. 959, respectively. The relative error between the simulated and measured values of yield was between 0. 03 and 0. 07. The localized AquaCrop model can better simulate the dynamic development process of sesame, which can be used to optimize sesame management and forecast future production.
- Subjects
STANDARD deviations; GRAIN yields; SESAME; SENSITIVITY analysis; BIOMASS
- Publication
Journal of Henan Agricultural Sciences, 2024, Vol 53, Issue 7, p149
- ISSN
1004-3268
- Publication type
Article
- DOI
10.15933/j.cnki.1004-3268.2024.07.017