| Cite this article: | 科.基于主成分分析的温室内水面蒸发量估算模型构建及验证[J].灌溉排水学报,0,():-. |
| 王.基于主成分分析的温室内水面蒸发量估算模型构建及验证[J].灌溉排水学报,0,():-. |
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| DOI： |
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| Estimation and Verification of Greenhouse Pan Evaporation Based on Principal Component Analysis |
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王1,2,3
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1.Beijing Research Center of Intelligent Equipment For Agriculture, Beijing 100097;2. Inner Mongolia Key Laboratory of Soil Quality and Nutrient Resource, College of Grassland, Resources and Environment, Inner Mongolia Agricultural University, Hohhot 010018, China;3.College of Horticulture, China Agricultural University, Beijing 100094
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| Abstract: |
| Abstract: 【Background】Estimating pan evaporation(Ep) in windless greenhouse environment based on the principal component method.【Objective】The analysis was based on meteorological data and measured pan evaporation(Ep) from March to July in 2020 and 2022, and analyzed the Ep based on the principal component method. In addition, Ep estimation model was established by combining with multiple linear regression. 【Result】It was found that Ep increased as time elapsed, Ep averages was increased from 1.84 mm and 1.94 mm in March to 3.77 mm and 5.15 mm in June in 2020 and 2022 respectively; Ep in windless greenhouse environment is mainly influenced by radiation factors and relative humidity. Photosynthetically active radiation affected Ep most at significant level, correlation coefficient is 0.852(P＜0.01),and this was followed by solar radiation and relative humidity with correlation coefficients of 0.811 and -0.770(P < 0.01), respectively. The first principal component of solar radiation, photosynthetically active radiation, and relative humidity have a greater effect on Ep, eigenvalue is 4.44. Solar radiation had the most significant effect on Ep, with the highest score coefficient of 0.328, followed by relative humidity and photosynthetically active radiation, with score coefficients of 0.311 and -0.321, respectively. Estimation model of Ep based on the results of principal component analysis, verification proven that the estimated Ep was significantly and positively correlated with the measured values(P＜0.01), and the equation coefficient R2 was 0.908, MBE was 0.10, and RMSE was only 0.48 mm/d, the consistency index was 0.944.【Conclusion】Solar radiation, photosynthetically active radiation, and relative humidity have a greater effect on Ep in windless greenhouse environment. The Ep estimation model constructed based on principal component analysis provides a scientific basis for obtaining Ep dynamics under windless environment of greenhouse in real time and constructing scientific irrigation system. |
| Key words: greenhouse; pan evaporation; meteorological factors; multiple collinearity; principal component analysis |
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