| 引用本文: | 王凤静,王 净,魏 征,等.夏玉米不同生育期附加阻尼的变化特征及参数化方案[J].灌溉排水学报,2024,43(10):21-29. |
| WANG Fengjing,WANG Jing,WEI Zheng,et al.夏玉米不同生育期附加阻尼的变化特征及参数化方案[J].灌溉排水学报,2024,43(10):21-29. |
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| 摘要: |
| 目前关于附加阻尼（kB-1）的研究中，任何一种参数化方案都不适用于所有植被结构类型的下垫面，因此对于生长过程中结构差异显著的植被需要分阶段研究。【目的】本文旨在分析夏玉米4个生育期kB-1的日变化和月变化规律，探究各个生育期kB-1最佳参数化方案。【方法】基于2012年6—9月US-Tw2站点的通量、气象数据以及MODIS数据，利用莫宁奥布霍夫相似理论推算kB-1，并将9种参数化方案在苗期、拔节期、穗期、成熟期估算的kB-1和感热通量与观测值进行对比。【结果】4个生育期中的kB-1均呈早晚小、中午大的日变化规律，且其月均值也随着粗糙度的增大呈递增趋势。对比9种参数化方案得出，苗期最接近kB-1观测值的方案为K07，拔节期、穗期和成熟期为K89，均方根误差（RMSE）分别为1.34、2.41、2.79、1.55；苗期、拔节期、穗期、成熟期最接近感热通量观测值的方案分别为K07、S58、S01、K89，均方根误差（RMSE）分别为33.39、46.98、65.97、36.46 W/m2。【结论】生育前期粗糙度雷诺数（Re*）的参数化方案更接近观测值，而在生育后期考虑植被结构、地气温差（Ts-Ta）的参数化方案更为准确。苗期、拔节期、穗期、成熟期估算感热通量的最佳参数化方案分别为K07、S58、S01、K89。 |
| 关键词: kB-1；参数化方案；感热通量；生育期；玉米 |
| DOI：10.13522/j.cnki.ggps.2024076 |
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| Characterization and parameterization of kB-1 variation in different growth stages of summer maize |
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WANG Fengjing, WANG Jing, WEI Zheng, CAI Jiabing, ZHANG Baozhong, HAN Congying
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1. State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China; 2. National Center for Efficient Irrigation Engineering and Technology Research-Beijing, Beijing 100048, China; 3. Inner Mongolia Hetao Irrigation Area Water Conservancy Development Center, Bayannur 015000, China
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| Abstract: |
| 【Objective】 Previous studies indicate that existing parameterizations for additional damping (kB-1) are not applicable to all vegetation types. This paper proposes a new approach to account for significant structural differences during vegetation growth. The objective is to analyze the daily and monthly variation patterns of kB-1 during four growing stages of summer maize and to identify the optimal parameterization for each stage.【Method】We used fluxes, meteorological and MODIS satellite data from June to September 2012 at the US-Tw2 site to infer the damping parameter kB-1 using the Monin-Obukhov similarity theory, across the seedling, jointing, heading, and maturity stages with observed data.【Result】Across all four growing stages, kB-1 exhibited a daily pattern with minimal values in the morning and evening and a peak during midday. Monthly mean values increased with surface roughness. Among the nine parameterization schemes, the results of K07 best matched the observed kB-1 values during the seedling stage, while K89 was most effective for the jointing, heading, and maturity stages, with their associated root mean square error (RMSE) being 1.34, 2.41, 2.79, and 1.55, respectively. For the sensible heat flux, K07, S58, S01 and K89 best matched the observed data in the seedling, jointing, heading, and maturity stages, respectively, with their associated RMSEs being 33.39 W/m2, 46.98 W/m2, 65.97 W/m2, and 36.46 W/m2, respectively.【Conclusion】In early growth stage, the parameterization schemes based on the roughness Reynolds number matched the observed data better, whereas the schemes incorporating vegetation structure and air-surface temperature difference (Ts-Ta) were more accurate in the later stages. The optimal parameterization schemes for estimating sensible heat fluxes in the seedling, jointing, heading, and maturity stages are K07, S58, S01 and K89, respectively. |
| Key words: kB-1; parameterization scheme; sensible heat flux; reproductive period; maize |
