| 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.湖泊科学,2020,32(4):1189-1198. DOI:10.18307/2020.0425 |
| XIAO Qitao,DUAN Hongtao,ZHANG Mi,LIU Shoudong,HU Zhenghua,LI Xuhui.Waterside convective velocity in a large and shallow lake: A case of Lake Taihu. J. Lake Sci.2020,32(4):1189-1198. DOI:10.18307/2020.0425 |
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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. |
| 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 |
| DOI：10.18307/2020.0425 |
| 分类号: |
| 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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| Waterside convective velocity in a large and shallow lake: A case of Lake Taihu |
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XIAO Qitao1, DUAN Hongtao1, ZHANG Mi2, LIU Shoudong2, HU Zhenghua2, LI Xuhui2
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1.Key Laboratory of Watershed Geographic Science, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, P. R. China;2.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. |
| Key words: Waterside convective shallow lake diurnal variation seasonal variation spatial variation Lake Taihu |
