西藏第一大湖泊色林错热力学变化特征:双对流混合及影响因素
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1:西藏大学生态环境学院,拉萨 850000 ;2:中国科学院青藏高原研究所,青藏高原地球系统与资源环境重点实验室,西藏纳木错高寒湖泊与环境国家野外科学观测研究站,北京 100101 ;3:中国地质科学院矿产资源研究所,自然资源部盐湖资源与环境重点实验室,自然资源部青藏高原盐湖野外观测研究站,北京 100037 ;4:中国科学院大学,北京 100049

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国家自然科学基金项目(41877168)、国家第二次青藏高原综合科学考察研究项目(2019QZKK0202)、西藏自治区科技厅项目(XZ202401JD0011,XZ202401ZY0059)和中国科学院网信专项项目(CAS-WX2023SF-0402)联合资助


The seasonal variations on thermodynamics in Selin Co, the largest lake on the Tibetan Plateau: Dimictic and its influencing factors
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1: School of Ecology and Environment, Tibet University, Lhasa 850000 , P.R.China ;2:Key Laboratory of Tibetan Environment Earth System, Environment and Resources, Tibet Nam Co High-cold-lake and Environment National Observation and Research Station, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101 , P.R.China ;3:MNR Key Laboratory of Salt Lake Resources and Environments, MNR Salt Lake Field Observation and Research Station of Tibetan Plateau, Institute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing 100037 , P.R.China ;4: University of Chinese Academy of Sciences, Beijing 100049 , P.R.China

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    摘要:

    全球增温导致青藏高原湖泊热力学特征发生显著变化,对湖泊生态系统和水质变化产生重要影响。本研究以西藏第一大湖泊色林错为研究对象,开展了连续的湖泊水温和气象观测,揭示了色林错年内热力学动态变化特征及其对气象条件的响应过程。结果表明:基于2021年6月-2022年12月水温剖面的连续观测,色林错属于双对流混合型湖泊,热力学状态可分为冬季结冰期(12月初-次年4月底)、春季混合期(4月中下旬-5月中旬)、夏季分层期(5月中旬-11月中旬)和秋季混合期(11月中旬-12月中旬)四个阶段。色林错于结冰期(3月中旬)开始进入热力学分层状态。随着冰面融化,进入湖水的辐射增强以及高盐度导致冰下水体快速稳定分层,表层水体得以快速升温。但色林错可能由于盐度梯度的存在,整个水柱在春季未发生完全混合,混合现象只局限在表层0~30 m的水体,底部水体一直保持缓慢的增温现象。色林错湖泊稳定度指标施密特稳定度变化范围为0~520 J/m2。从温跃层的变化特征来看,2021年和2022年温跃层的变化规律非常相似,夏季分层期温跃层最大深度在17 m左右。风速和净辐射对色林错热分层不同时期的驱动机制不同:风力和净辐射在形成期共同主导了热分层的形成,而净辐射减弱是导致热力学分层消失的主要原因。通过对比分析发现,气温变化幅度较表层水温变化更大,表层水温滞后于气温21 d左右。本研究首次对色林错开展了湖水热力学特征及其影响因素的研究,为深入理解青藏高原内陆湖泊水温变化及其对区域气候变化的响应机制以及湖泊模型研究提供了科学依据。

    Abstract:

    Global warming has led to significant changes in the thermodynamic characteristics of lakes on the Tibetan Plateau, resulting in a vital impact on the lake ecosystem and water quality changes. In this study, continuous observations of lake water temperature and meteorological conditions were carried out in the largest lake—Selin Co, Tibet. The characteristics of the intra-annual thermodynamic of Selin Co and its response to meteorological conditions are revealed. Results from water temperature profile monitoring between June 2021 and December 2022 indicate that Selin Co is a dimictic lake. Its thermodynamic regime can be divided into four phases: winter freezing, spring mixing, summer stratification and fall mixing. Selin Co starts to stratify during the freezing period (mid-March). The melting of the lake ice, the enhanced radiation penetrating the ice and the high salinity resulted in a rapid and stable stratification of the water column under the ice. However, complete mixing of the water column does not occur in spring, likely due to the persistent salinity gradients, and the mixing phenomenon was confined to the surface 0-30 m, with the bottom waters remaining slowly warmed. Schmidt stability values ranged from 0 to 520 J/m2 in Selin Co. From the characteristics of the thermocline, the daily variation patterns of the thermocline in 2021 and 2022 are very similar, with the maximum depth of the thermocline around 17 m during the summer stratification period. Wind speed and solar radiation have different driving mechanisms for thermal stratification during different periods. Wind and radiation contribute concurrently to thermal stratification during the formation period, and weakening radiation is the main cause of the disappearance of thermodynamic stratification. Comparative analysis showed that air temperature changes were more variable than surface water temperature, which lagged air temperature by about 21 days. This study conducted the first continuous observation and analysis of the thermodynamic characteristics of Selin Co and its driving factors, providing a scientific basis for an in-depth understanding of water temperature dynamics in inland lakes on the Tibetan Plateau and their response to regional climate change, as well as lake modelling research.

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秦璇,王君波,叶传永,开金磊,汪婳,旺扎,鞠建廷,朱立平.西藏第一大湖泊色林错热力学变化特征:双对流混合及影响因素.湖泊科学,2025,37(6):2248-2259. DOI:10.18307/2025.0644

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  • 收稿日期:2024-10-09
  • 最后修改日期:2025-01-05
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  • 在线发布日期: 2025-11-03
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