Analysis on driving factors of lake surface water temperature for major lakes in Yunnan-Guizhou Plateau
Analysis on driving factors of lake surface water temperature for major lakes in Yunnan-Guizhou Plateau
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云贵高原主要湖泊湖面水温驱动因素分析
DOI：
10.1016/j.watres.2020.116018
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发表时间：
2020
期刊：
影响因子：
12.8
通讯作者：
Luo Yi
中科院分区：
文献类型：
--
作者：
Yang Kun;Yu Zhenyu;Luo Yi
湖泊地表水温度是影响湖泊生态环境的重要因素。近半个世纪以来，地表温度呈上升趋势，对区域生物多样性和气候产生了严重影响。了解造成这一现象的主要原因，为治理和改善区域生态环境提供依据，具有重要意义。本文定量分析了云黔高原11个自然形成湖泊近地表气温（NSAT）、地表气压（SP）、地表太阳辐射（SSR）、总云量（TCC）、风速（WS）和Secchi深度（SD）对LSWT的贡献率。揭示了不同类型和属性湖泊中各因子与LSWT的特征及其相互关系。结果表明：(1)2001 ~ 2018年，大部分湖泊呈增温趋势；LSWT-day的变化率高于LSWT-night。平均综合增温速率（MCWR）为0.42°C/ a，平均综合变化率（MCCR）为0.31°C/ a；LSWT-night的MCWR为0.19°C/ 10年，MCCR为0.01°C/ 10年。NSAT和SSR与LSWT-day/night的相关性最强。NSAT与LSWT-day的相关性不存在较大的季节差异，而NSAT与LSWT-night和SSR与LSWT-day/night的相关性存在较大的季节差异。(2) NSAT和SSR是影响lswt昼夜变化的最重要因子，贡献率分别为30.24%和44.34%。小、浅、低蓄水量湖泊的LSWT-day受SP和SSR的影响较大。对于较大的湖泊，LSWT-day受WS的影响较大，而LSWT-night受TCC的影响较大。城市和半城市湖泊受SSR和NSAT的影响较大；对于自然湖泊，SD的减少影响了LSWT的增加，间接反映了人类活动的影响。lswt -白天和黑夜对湖泊形态特征和人类活动强度的响应不同。
Lake surface water temperature (LSWT) is an important factor in lake ecological environments. It has been observed that LSWT have followed an upward trend in the last half century, which has had serious impacts on regional biodiversity and climate. It is important to understand the main reason for this phenomenon in order to have a basis for controlling and improving the regional ecological environment. In this study, the contribution rates of near surface air temperature (NSAT), surface pressure (SP), surface solar radiation (SSR), total cloud cover (TCC), wind speed (WS) and Secchi depth (SD) to LSWT of 11 naturally formed lakes in the Yunnan-Guizhou Plateau are quantified. The characteristics of and relationships between the various factors and LSWT in lakes of different types and attributes are revealed. The results show that: (1) from 2001 to 2018, most lakes were warming; the change rate of LSWT-day was higher than that of LSWT-night. The mean comprehensive warming rate (MCWR) of LSWT-day was 0.42 °C/decade, and the mean comprehensive change rate (MCCR) was 0.31 °C/decade; the MCWR of LSWT-night was 0.19 °C/decade, and the MCCR was 0.01 °C/decade. NSAT and SSR were most strongly correlated with LSWT-day/night. There were no large seasonal differences in the correlation between NSAT and LSWT-day, while seasonal differences in the correlations between NSAT with LSWT-night and SSR with LSWT-day/night were observed. (2) NSAT and SSR were the most important factors affecting LSWT-day/night changes, with contribution rates of 30.24% and 44.34%, respectively. LSWT-day was more affected by SP and SSR in small, shallow, and low-storage lakes. For larger lakes, LSWT-day was more affected by WS, while LSWT-night was greatly affected by TCC. Urban and semi-urban lakes were more affected by SSR and NSAT; for natural lakes, the decreasing SD affected the increases in LSWT, which indirectly reflects the impact of human activities. LSWT-day/night responded differently to different morphological characteristics of the lakes and different intensities of human activity.