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引用本文:邓建才,刘鑫,张洪梅,陈方,徐彬,沈爱春.太湖藻类水平漂移特征及其影响因素.湖泊科学,2014,26(3):358-364. DOI:10.18307/2014.0304
DENG Jiancai,LIU Xin,ZHANG Hongmei,CHEN Fang,XU Bin,SHEN Aichun.Characteristics and impact factors of algal horizontal drifting in Lake Taihu. J. Lake Sci.2014,26(3):358-364. DOI:10.18307/2014.0304
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太湖藻类水平漂移特征及其影响因素
邓建才1, 刘鑫1, 张洪梅1, 陈方2, 徐彬2, 沈爱春2
1.中国科学院南京地理与湖泊研究所湖泊与环境国家重点实验室, 南京 210008;2.太湖流域管理局水文水资源监测中心, 无锡 214024
摘要:
采用原位观测平台,研究分析了太湖竺山湾风速、湖流流速、波高以及藻类水平漂移特征及其影响因素,结果表明日间藻类水平漂移速率呈锯齿式交替特征,日内藻类水平漂移速率变化幅度大;藻类水平漂移速率与风速之间呈显著线性正相关;当0.02 m < 有效波高 < 0.1 m时,藻类水平漂移速率与有效波高呈显著线性负相关,当有效波高 > 0.1 m时,波浪会显著改变藻类运动方式,破坏藻类表层聚集形态;湖流对藻类水平漂移速率无显著性影响;藻类水平漂移方向受湖流流向和风向的共同作用;藻类水平漂移速率与风速、波高、湖流流速间关系可用多元线性方程表达,且拟合度良好,可为藻类水华预测模型构建提供依据.
关键词:  太湖  原位观测  漂移速率  影响因素  竺山湾
DOI:10.18307/2014.0304
分类号:
基金项目:国家自然科学基金项目(41271213);水利部公益性行业科研专项经费项目(201001029)联合资助
Characteristics and impact factors of algal horizontal drifting in Lake Taihu
DENG Jiancai1, LIU Xin1, ZHANG Hongmei1, CHEN Fang2, XU Bin2, SHEN Aichun2
1.State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, P. R. China;2.Taihu Hydrology and Resources Survey Bureau, Wuxi 214024, P. R. China
Abstract:
In-situ observation platform was used to investigate impacts of wind speed, lake current and significant wave height (SWH) on algal horizontal drifting velocity in Zhushan Bay, Lake Taihu. Results showed that algal drifting rate on different observation days was alternating zigzag-type characteristics, and then the amplitude of algae drifting velocity within one day became obviously different. A significant positive linear correlation between algal drifting velocity and wind speed was observed. When SWHs are within the range of 0.02 m and 0.1 m, there was a dramatically negative linear correlation between algal drifting rate and SWHs; when SWHs were larger than 0.1 m, wave could markedly change algae drifting patterns and destroy algae tablet layers. Lake current had insignificant effect on the algal drifting rates, although the direction of algal transport was regulated by the directions of lake current and wind. The relationships between algae horizontal drifting rates and wind speeds, SWHs and lake flow may be expressed by a multiple linear equation with the goodness of fit, which provided a theoretical basis for the construction of algal bloom prediction model.
Key words:  Lake Taihu  in-situ observation  drifting velocity  impact factors  Zhushan Bay
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