Energy partitioning mechanism and evapotranspiration modeling of maize fields in three different climate regions in China.
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| Title: | Energy partitioning mechanism and evapotranspiration modeling of maize fields in three different climate regions in China. |
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| Authors: | Zhou, Yudong1 (AUTHOR), Yan, Haofang1,2 (AUTHOR) yanhaofangyhf@163.com, Zhang, Jianyun2 (AUTHOR), Wang, Guoqing2 (AUTHOR), Zhang, Chuan3 (AUTHOR), Zheng, Hexiang4 (AUTHOR), Wu, Jiabin4 (AUTHOR), Tian, Delong4 (AUTHOR), Yu, Zhenliang5 (AUTHOR), Wang, Biyu1 (AUTHOR), Bao, Rongxuan1 (AUTHOR) |
| Source: | Journal of Hydrology. Dec2025:Part A, Vol. 662, pN.PAG-N.PAG. 1p. |
| Subjects: | Water management, Standard deviations, Water efficiency, Path analysis (Statistics), Water supply |
| Abstract: | • Energy partition of maize in different climate regions (NE-H, NW-I, SE-J) were analysed, λET was the main consumer of R n for three regions, and energy partitioning were affected by climatic conditions. • The low Ω values indicated that the λET was mainly affected by G c and VPD ; furthermore, the energy partition was limited by water availability in NE-H and SE-J. • The parametrized P-T and Ω models were used to estimate λET in three regions. Understanding the energy partition of farmland is essential to optimize irrigation scheduling and improve crop water use efficiency. In this study, energy fluxes of maize fields in three different climate regions, Heilongjiang Province (NE-H), Inner Mongolia (NW-I), Jiangsu Province (SE-J), were measured by Bowen ratio energy balance systems (BREB) to analyze the energy partition in different growing stages. These results showed that the average ratio of latent heat flux to net radiation (λET / R n) were 60.36%, 72.41% and 61.01%, respectively during the whole growing seasons of maize in NE-H, NW-I and SE-J, indicating that the λET was the main consumer of R n for three regions, and the magnitude and dynamics of energy fluxes and partitioning were affected by climatic conditions. The bulk parameters: canopy conductance (G c), decoupling coefficient (Ω) and Priestley-Taylor coefficient (α) were used to analyze the influence factors on λET. The low Ω values (NE-H: 0.30; NW-I: 0.31; SE-J: 0.35) indicated that strong coupling between canopy and atmosphere, and the λET was mainly affected by G c and VPD. Furthermore, the average value of α during the maize growing season in NE-H and in SE-J were 0.78 and 0.92, respectively, indicating that the energy partition was limited by water availability in NE-H and SE-J. The path analysis results showed that R n was positively correlated with λET in the three regions; VPD was negatively correlated with λET in NE-H and NW-I, while VPD was positively correlated with λET in SE-J. The λET was estimated by the parametrized Priestley-Taylor (P-T) and Ω models, the Ω model performed better in NE-H, with mean root mean square error (RMSE) equaled 42.94 W m−2 (58.23 W m−2 for the P-T model), mean absolute error (MAE) equaled 36.72 W m−2 (47.73 W m−2 for the P-T model) and the determination coefficient (R 2) was 0.93 (0.94 for the P-T model). While the P-T model performed better than the Ω model in NW-I and SE-J, with RMSE equaled 28.82 and 30.85 W m−2, MAE equaled 25.75 and 23.94 W m−2 and R 2 equaled 0.93 and 0.92, respectively. The P-T and Ω models underestimated the λET to a certain extent in all three regions. The revealed energy partitioning mechanisms and determined λET could provide a theoretical basis for optimizing water resources management for the studied regions. [ABSTRACT FROM AUTHOR] |
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| Database: | Engineering Source |
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