阳勇,孙怀卫,罗红英.最大熵增蒸散模型在中国区域的应用及时间尺度对比分析[J].干旱地区农业研究,2020,38(4):184~191
最大熵增蒸散模型在中国区域的应用及时间尺度对比分析
Application of Maximum Entropy Production Model for estimation of evapotranspiration in China
  
DOI:10.7606/j.issn.1000-7601.2020.04.23
中文关键词:  最大熵增模型  潜热通量  蒸散发  涡度相关  能量平衡
英文关键词:Maximum Entropy Production Model  latent heat  evapotranspiration  eddy covariance system  energy balance
基金项目:国家自然科学基金项目(51879110);湖北省水利重点科研项目(HBSLKY201907)
作者单位
阳勇 华中科技大学水电与数字化工程学院湖北 武汉 430074 
孙怀卫 华中科技大学水电与数字化工程学院湖北 武汉 430074 
罗红英 西藏农牧学院西藏 林芝 860000 
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中文摘要:
      为解决传统蒸散发计算中模型参数、模型缺陷和不确定性等问题,基于最大熵增蒸散发(MEP)模型的模型假设,针对我国不同植被覆盖下的蒸散发(潜热)通量进行估算,并分析半小时、日、周、月等不同时间尺度下的模型表现,以期获得适合我国区域的蒸散发计算方法。结果表明:MEP模型具有较好的模型计算表现,与多个站点的涡度相关实测数据较为接近;MEP模型在半小时尺度上应用更优,所有站点的潜热通量平均决定性系数(R2)为0.75,周、月尺度上潜热通量精度较显热通量高。对MEP模型的两个输入参数(表面温度和比湿)分析表明,表面温度对预测结果影响较大。MEP模型精度高且具有所需输入参数少的优势,研究结果可用于对各种植被覆盖地表的蒸散发估算。
英文摘要:
      To solve limitations of model parameters, model structure defects, and uncertainties in estimating ET by traditional models, this paper estimates ET flux under different vegetation\|covered land surface in China based on assumptions of the Maximum Entropy Production (MEP) Model. Meanwhile, this study analyzed the MEP model performances at different temporal scales including half\|hourly, daily, weekly, and monthly to obtain a suitable method for estimating ET in China.The results showed that: The MEP model had a good estimate performance and was consistent with the measurements of multiple eddy covariance stations; The MEP model was better applied on the half\|hourly scale, the averaged coefficient of determination (R2) of latent heat over all site was 0.75, and the accuracy of latent heat estimate was higher than that of sensible heat over the weekly and monthly scales; Analysis on the surface temperature and specific humidity of the MEP model’s inputs showed that the surface temperature had a greater influence on the predictions; Due to the high accuracy of the MEP model and advantage of fewer required input parameters, results can be used to estimate ET under various vegetation\|covered land surfaces.
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