| 大型浅水湖泊水体对流混合速率分析 |
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| 引用本文： | 肖启涛,段洪涛,张弥,刘寿东,胡正华,李旭辉.大型浅水湖泊水体对流混合速率分析[J].湖泊科学,2020,32(4):1189-1198. |
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| 作者姓名： | 肖启涛 段洪涛 张弥 刘寿东 胡正华 李旭辉 |
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| 作者单位： | 中国科学院南京地理与湖泊研究所,中国科学院流域地理学重点实验室,南京210008;南京信息工程大学大气环境中心,南京210044 |
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| 基金项目： | 国家自然科学基金项目（41801093）、教育部长江学者和创新团队发展计划项目（PCSIRT）、中国科学院南京地理与湖泊研究所交叉创新团队项目（NIGLAS2016TD01）和中国科学院南京地理与湖泊研究所引进人才启动项目（NIGLAS2019QD007）联合资助. |
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| 摘 要： | 湖泊水体的对流混合是最基本的物理过程,其能显著影响湖泊生态系统温室气体等循环,但浅水湖泊水体对流混合的研究鲜有报道.本研究基于太湖(面积2400 km2,平均水深1.9 m)中尺度通量网的原位、高频、连续和多点的观测数据,分析该大型浅水湖泊水体对流混合速率w*的时空特征.结果表明太湖水体w*的均值为2.49 mm/s,因太湖的风速、水温和辐射等物理参数无空间变化,w*也无明显的空间变化.但是研究表明w*呈现显著的昼夜变化和季节变化,且昼夜变化幅度强于季节变化.总体上夜间w*是白天的4倍多,冬季w*(均值1.79 mm/s)明显低于春季(均值2.42 mm/s)、夏季(均值2.91 mm/s)和秋季(均值2.82 mm/s).太湖w*主要受风速和能量收支影响,白天风速是主要驱动因子,夜晚能量收支是主要驱动因子.
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| 关 键 词： | 对流混合 浅水湖泊 昼夜变化 季节变化 空间变化 太湖 |
| 收稿时间： | 2019/11/19 0:00:00 |
| 修稿时间： | 2020/1/6 0:00:00 |
Waterside convective velocity in a large and shallow lake: A case of Lake Taihu |
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| XIAO Qitao,DUAN Hongtao,ZHANG Mi,LIU Shoudong,HU Zhenghu,LI Xuhui.Waterside convective velocity in a large and shallow lake: A case of Lake Taihu[J].Journal of Lake Science,2020,32(4):1189-1198. |
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| Authors: | XIAO Qitao DUAN Hongtao ZHANG Mi LIU Shoudong HU Zhenghu LI Xuhui |
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| Institution: | Key Laboratory of Watershed Geographic Science, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, P. R. China;Yale-NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 210044, P. R. China |
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| Abstract: | Waterside convective controlling aquatic greenhouse gases cycle is a common physical process in lakes. However, the physical process was less studied in shallow lakes. This study investigated the waterside convective strength, which was expressed with a waterside convective velocity scale (w*), in a large (area 2400 km2) and shallow (mean depth 1.9 m) lake based on in-situ high-frequency monitoring data. Results showed that the w* with an annual mean value of 2.49 mm/s was relatively uniform in space. However, the w* had an obvious diurnal variation, the value in nighttime was about four times higher than that in daytime. Meanwhile, the w* varied seasonally, the peak value generally occurred in summer and lowest in winter. It should be noted that the diurnal variation of w* was more significant compared to the seasonal variation. Our results also demonstrated that daytime w* was driven by wind speed, and nighttime w* was driven by energy budget. |
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| Keywords: | Waterside convective shallow lake diurnal variation seasonal variation spatial variation Lake Taihu |
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