| 引用本文: | 王怡宁,丁佳楠,吕海深,等.基于水面蒸发量及气温的潜水蒸发量计算模型研究[J].灌溉排水学报,0,():-. |
| Wang Yining,Ding Jianan,Lv Haishen,et al.基于水面蒸发量及气温的潜水蒸发量计算模型研究[J].灌溉排水学报,0,():-. |
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| 摘要: |
| 【目的】探究不同气象因子对潜水蒸发的影响。【方法】利用五道沟水文试验站0.3m2口径的蒸渗仪测定潜水蒸发量，以及气象观测场的相关仪器测定气象数据，选取2006—2015年潜水蒸发量和气象实测数据，分别构建了砂姜黑土和黄潮土基于埋深因子的裸地潜水蒸发量与水面蒸发量、气温单气象因子和双气象因子计算模型。【结果】砂姜黑土各计算模型R2在0.88左右，平均绝对误差（MAE）为1.50 mm/10d，均方根误差（RMSE）为2.30 mm/10d；黄潮土各计算模型R2为0.92，平均绝对误差（MAE）为1.94 mm/10d，均方根误差（RMSE）为2.80 mm/10d，均有较高的精度，且黄潮土各拟合模型的精度要高于砂姜黑土。单气象因子计算模型的R2为0.92，平均绝对误差（MAE）为1.80 mm/10d，均方根误差（RMSE）为2.60 mm/10d；双气象因子计算模型的R2为0.94，平均绝对误差（MAE）为1.40 mm/10d，均方根误差（RMSE）为2.05 mm/10d，双气象因子拟合效果高于单气象因子。两种土壤多气象因子复合模型，其平均绝对误差（MAE）分别为2.21 mm/10d和2.91 mm/10d，均方根误差（RMSE）分别为3.31 mm/10d和3.93 mm/10d，估算精度较优。【结论】潜水埋深、水面蒸发及气温对潜水蒸发具有显著影响，可根据不同的情况选择合适的计算模型。 |
| 关键词: 潜水蒸发量；水面蒸发量；气温；埋深；裸地 |
| DOI： |
| 分类号:P332.2 |
| 基金项目:国家自然科学基金项目（面上项目，重点项目，重大项目）,国家重点基础研究发展计划（973计划） |
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| Research on Calculation Model of Submersible Evaporation Based on Surface Evaporation and Air Temperature Factors |
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Wang Yining1, Ding Jianan2, Lv Haishen2, Song Cuiping3, Zhou Chao4, Liu Zhumei2, Lu Yunyan2
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1.Nanjing Hydraulic Research Institute;2.Hohai University;3.Jiangsu Water Conservancy Survey and Design Research Institute Co., Ltd;4..Anhui and Huaihe River Institute of Hydraulic Research/Anhui Province Key Laboratory of Water Conservancy and Water Resources/Wudaogou Hydrological and Water Resources Experimental Station, Bengbu
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| Abstract: |
| 【Objective】In order to explore the influence of different meteorological factors on phreatic evaporation, 【Method】The phreatic evaporation data was measured by the lysimeter with a diameter of 0.3 m2 at the Wudaogou Hydrological Experiment Station, and the meteorological data was measured by the related instruments in the meteorological observation field. Calculation model of bare ground submersible evaporation and water surface evaporation, single meteorological factor and double meteorological factor of air temperature based on buried depth factor.【Results】 The results show that the R2 of each calculation model for Shajiang black soil is about 0.88, the average absolute error (MAE) is 1.50 mm/ten, the root mean square error (RMSE) is 2.30 mm/ten; the R2 of each calculation model for the yellow fluvo-aquic soil is 0.92, The average absolute error (MAE) is 1.94 mm/ten, and the root mean square error (RMSE) is 2.80 mm/ten, both of which have high accuracy, and the accuracy of the fitting models of the yellow fluvo-aquic soil is higher than that of the sand ginger black soil.The R2 of the single meteorological factor calculation model is 0.92, the average absolute error (MAE) is 1.80 mm/ten, and the root mean square error (RMSE) is 2.60 mm/ten; the R2 of the dual meteorological factor calculation model is 0.94, and the average absolute error (MAE) ) Is 1.40 mm/ten, and the root mean square error (RMSE) is 2.05 mm/ten. The fitting effect of dual meteorological factors is higher than that of single meteorological factor. The average absolute error (MAE) of the two soil multi-weather factor composite models are 2.21 mm/ten and 2.91 mm/ten, and the root mean square error (RMSE) are 3.31 mm/ten and 3.93 mm/ten, respectively. The estimation accuracy is better. excellent.【Conclusion】Diving depth, water surface evaporation and air temperature have significant effects on Submersible evaporation, and suitable calculation models can be selected according to different situations. |
| Key words: Submersible evaporation;Water surface evaporation;Temperature;Buried depth;Bare ground |
