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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.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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大型浅水湖泊水体对流混合速率分析
肖启涛1, 段洪涛1, 张弥2, 刘寿东2, 胡正华2, 李旭辉2
1.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;2.南京信息工程大学大气环境中心, 南京 210044
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.
Waterside convective velocity in a large and shallow lake: A case of Lake Taihu
XIAO Qitao1, DUAN Hongtao1, ZHANG Mi2, LIU Shoudong2, HU Zhenghua2, LI Xuhui2
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
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
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