| Cite this article: | 邱中齐,周琳琳,刘红娟,等.玉米农田生态系统蒸散发模型参数优化[J].灌溉排水学报,0,():-. |
| qiuzhongqi,zhoulinlin,liuhongjuan,et al.玉米农田生态系统蒸散发模型参数优化[J].灌溉排水学报,0,():-. |
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| Parameter Optimization of Evapotranspiration Modelfor Maize Field Ecosystem |
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qiuzhongqi1, zhoulinlin1, liuhongjuan1, tianqianglong1, zhaozijing1, zhangxiaomei2, weiguoxiao1
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1.College of Earth and Environmental Sciences, Lanzhou University, Lanzhou;2.Agricultural comprehensive service center of Taipingdian Town, Huining County
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| Abstract: |
| Abstract:【Objective】To optimize the empirical parameters and improve the accuracy of Regional Evapotranspiration Model in areas where the specific model parameters cannot be obtained according to the measured values.【Method】 Based on the data of meteorological element gradient observation system of Daman super station in the comprehensive remote sensing test of ecological hydrological process in Heihe River Basin, the optimization of Evapotranspiration Model under corn farmland ecosystem is studied. Differential evolution adaptive algorithm is used to optimize the parameters of the model by introducing energy unclosed factor for multi-objective of latent heat flux and sensible heat flux. Bayesian theory is the core idea. Multiple Markov chains are constructed to estimate the posterior information of parameters; By introducing traditional evaluation indexes, such as coefficient of determination (R2), linear regression slope, root mean square error (RMSE), consistency index (IA) and Nash coefficient (NSE), the simulation performance of latent heat flux and sensible heat flux of Shuttleworth-Wallace original model and optimized model was evaluated.【Result】During the model calibration period, compared with the original Shuttleworth Wallace model, the root mean square error of the optimized model is reduced by 52.46% and the consistency index is increased by 17.3%; When the optimized model simulates the latent heat flux, the Nash coefficient reaches 0.82. When simulating sensible heat flux, the evaluation index of the optimized model is not significantly improved compared with the original Shuttleworth Wallace model. During the model validation period, compared with the original Shuttleworth Wallace model, the root mean square error of the optimized model is reduced by 50.51% and the consistency index is increased by 14.46%; When the optimized model simulates the latent heat flux, the Nash coefficient reaches 0.80. When simulating sensible heat flux, the evaluation index of the optimized model is not significantly improved compared with the original Shuttleworth Wallace model.【Conclusion】In the area where the specific model parameters cannot be obtained according to the measured values, the empirical parameters of the area are obtained according to the similar conditions, and the empirical parameters are substituted into the original Shuttleworth Wallace model to simulate the evapotranspiration of the area, the effect is not ideal, and the model evaluation data is poor; Compared with the evaluation data of the original Shuttleworth Wallace model, the optimization scheme optimizes the empirical parameters. The simulation of latent heat flux has been greatly improved by the optimized model, but the simulation performance of sensible heat flux has not been improved to a great extent. |
| Key words: parameter optimization; evapotranspiration model; energy closure |
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