| Application of Maximum Entropy Production Model for estimation of evapotranspiration in China |
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| DOI：10.7606/j.issn.1000-7601.2020.04.23 |
| Key Words: Maximum Entropy Production Model latent heat evapotranspiration eddy covariance system energy balance |
| Author Name | Affiliation | | YANG Yong | School of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China | | SUN Huaiwei | School of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China | | LUO Hongying | Tibet Agricultural and Animal Husbandry College, Linzhi, Tibet 860000, China |
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| Abstract: |
| 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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