Complementary Relationship Among Heat Flux Ratios and Maximum Entropy Production Principle in Humid Forests

IF 4.6 1区 地球科学 Q2 ENVIRONMENTAL SCIENCES
Kwanghun Choi, Kyungrock Paik
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引用次数: 0

Abstract

Understanding how the net Solar radiation is partitioned into heat fluxes on land surface is fundamental to understand water, energy, and carbon cycles. Here we claim that, in forests under energy-limited environment, the proportion in the net radiation occupied by the sum of the sensible and latent heat fluxes rarely varies over time; the variability in the latent heat fraction is mostly compensated by that of the sensible heat flux. This mutual compensation is rooted in the energy conservation principle and also in accordance with the principle of Maximum Entropy Production (MEP). The ratio of inertia parameters corresponding to latent and sensible heat fluxes in the MEP-based model, is found approximately the reciprocal Bowen ratio. With this seesaw relationship, the formulation of the MEP-based model for the surface energy partitioning problem is simplified. The new formulation is tested for a wide range of flux tower sites with different biome, demonstrating promising results.
湿润森林热通量比与最大熵产生原理的互补关系
了解净太阳辐射是如何在陆地表面分配成热通量的,是理解水、能量和碳循环的基础。本文认为,在能量有限的森林环境中,感热通量和潜热通量之和在净辐射中所占的比例很少随时间变化;潜热部分的变率主要由感热通量的变率补偿。这种相互补偿植根于能量守恒原理,也符合最大熵产生原理(MEP)。在mep模型中,潜热通量和感热通量对应的惯性参数之比近似为波文比的倒数。利用这种跷跷板关系,简化了基于mep的表面能分配问题模型的表述。新配方在具有不同生物群系的通量塔场地进行了广泛的测试,显示出有希望的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Water Resources Research
Water Resources Research 环境科学-湖沼学
CiteScore
8.80
自引率
13.00%
发文量
599
审稿时长
3.5 months
期刊介绍: Water Resources Research (WRR) is an interdisciplinary journal that focuses on hydrology and water resources. It publishes original research in the natural and social sciences of water. It emphasizes the role of water in the Earth system, including physical, chemical, biological, and ecological processes in water resources research and management, including social, policy, and public health implications. It encompasses observational, experimental, theoretical, analytical, numerical, and data-driven approaches that advance the science of water and its management. Submissions are evaluated for their novelty, accuracy, significance, and broader implications of the findings.
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