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| DOI：10.13522/j.cnki.ggps. 2024102 |
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| Optimization of Simulation in poplar potential evapotranspiration based on BP network |
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GAO Tao, YUAN Riping, ZHENG Liping, WANG Shangtao, GAN Yongde
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Laboratory of Water Ecological Management and Protection in River Source Areas, Ministry of Water Resources/ Laboratory of Ecological Protection and High Quality Development in the Upper Yellow River/ School of Civil Engineering and Water Resources , Qinghai University, Xining 810016, China
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| Abstract: |
| 【Objective】There are many environmental factors that affect vegetation ET0, and it is difficult to obtain some of them. Therefore, it is particularly important to find a simple and feasible method to simulate the response process of vegetation ET0 to environmental factors, and to quantitatively analyze the ecological water demand of typical vegetation in alpine region (taking Guide County as an example).【Method】Based on the meteorological data of Guide County from January to June, 2022, a BP network model for simulating vegetation ET0 under different algorithm optimization was established, 151 groups of data were selected to train the model, and the remaining 30 groups of data were tested and verified.【Result】The main factors affecting poplar ET0 are average temperature, 2 m wind speed, saturated vapor pressure difference, relative humidity, and the correlation from large to small is average temperature, saturated vapor pressure difference, 2 m wind speed and relative humidity. BP neural network model optimized by different algorithms is used to simulate poplar ET0, and the simulation effect is improved compared with the traditional BP network.【Conclusion】among which EWOA-BP optimization model has the best simulation result, which can be used as the first choice model to predict poplar ET0 in alpine region. |
| Key words: ET0; BP network; alpine region; meteorology |
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