Mengxiao Wang, Lijuan Wen, Lauri Arvola, Victor Stepanenko, Dongsheng Su
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引用次数: 0
摘要
青藏高原有大量的季节性冰湖,它们通过热过程对当地气候和湖泊生态系统产生重要影响。两个QTP湖泊NL和BLH-A具有相似的纬度、海拔和气候条件。然而,观测到的冻结时的水温在NL较低(约0.5℃),在BL较高(约4℃)。根据Yang et al. (2021, https://doi.org/10.1029/2020gl091374)提出的新型湖泊热分类方法(Yang的方法),NL和BL应分别归类为低温和低温分层。然而,使用杨的原始方法和改进的方法计算的结果将这两个湖泊归为低温湖泊。显然,Yang的方法适用于NL,但不适用于BL,这可能是因为该方法只考虑了湖泊面积、深度和风速,而忽略了底部摩擦引起的能量耗散。此外,采用LAKE模型对底部摩擦效应进行了研究。结果表明,两湖的底摩擦作用程度不同,受小表面积和浅深度的共同影响。
The Importance of Bottom Friction on Thermal Structure During Freezing of Small Shallow Lakes in Qinghai-Tibet Plateau
There are numerous seasonal ice-covered lakes on the Qinghai-Tibet Plateau (QTP), which significantly influence local climate and lake ecosystems through thermal processes. Two QTP lakes, Ngoring (NL) and BLH-A (BL), have similar latitudes, altitudes and climatic conditions. However, observed water temperature when freezing is lower in NL (about 0.5°C) and higher in BL (about 4°C). According to the novel lake thermal classification method proposed by Yang et al. (2021, https://doi.org/10.1029/2020gl091374) (Yang's method), NL and BL should be classified as cryomictic and cryostratified, respectively. However, the results calculated using both the original and improved Yang's method classified both lakes as cryomictic. Clearly, Yang's method was applicable to NL but not suitable for BL. This was probably because the method only considered lake area, depth, and wind speed, but neglected energy dissipation caused by bottom friction. Additionally, the LAKE model was employed to investigate the bottom friction effect. Results indicated that the extent of bottom friction effect on the two lakes was different and jointly influenced by small surface area and shallow depth.
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.