| 太湖竺山湾甲烷扩散通量及其驱动机制 |
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| 引用本文： | 刘臻婧,肖启涛,胡正华,张弥,王伟,肖薇.太湖竺山湾甲烷扩散通量及其驱动机制[J].中国环境科学,2022,42(1):393-401. |
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| 作者姓名： | 刘臻婧 肖启涛 胡正华 张弥 王伟 肖薇 |
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| 作者单位： | 1. 南京信息工程大学应用气象学院, 江苏 南京 210044;2. 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, 江苏 南京 210008;3. 南京信息工程大学大气环境中心, 江苏 南京 210044 |
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| 基金项目： | 国家自然科学基金资助项目(41801093)； |
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| 摘 要： | 选取竺山湾为研究区域,同时选取受人为活动影响较小的湖心区作为对比区域,基于2011年11月至2013年8月逐月连续观测,探讨外源输入及富营养化对CH4扩散通量的影响及其驱动机制,结果表明,竺山湾水-气界面CH4扩散通量显著(P＜0.01)高于湖心区CH4扩散通量,其平均通量分别为(0.193±0.049)mmol/(m...
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| 关 键 词： | 富营养化湖区 CH4扩散通量 时间变化 空间变化 外源输入 |
| 收稿时间： | 2021-05-26 |
Methane diffusion flux and its driving factors in Zhushan Bay of Lake Taihu |
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| LIU Zhen-jing,XIAO Qi-tao,HU Zheng-hua,ZHANG Mi,WANG Wei,XIAO Wei.Methane diffusion flux and its driving factors in Zhushan Bay of Lake Taihu[J].China Environmental Science,2022,42(1):393-401. |
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| Authors: | LIU Zhen-jing XIAO Qi-tao HU Zheng-hua ZHANG Mi WANG Wei XIAO Wei |
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| Institution: | 1. School of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China;2. Key Laboratory of Watershed Geographic Science, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China;3. Yale-NUIST Center on Atmospheric Environment, Nanjing University of Information Science and Technology, Nanjing 210044, China |
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| Abstract: | To identify the influence of input of pollutants and eutrophication on the temporal and spatial variations of the CH4 diffusion flux, monthly field measurements of CH4 flux was conducted in Zhushan Bay from November 2011 to August 2013. For comparison, the CH4 flux in the Central Zone of the lake with less impact from human activities was also determined. Results showed that the CH4 diffusion flux in Zhushan Bay with a mean value of (0.193±0.049) mmol/(m2·d) was significantly (P<0.01) higher than that ((0.024±0.005) mmol/(m2·d)) in the Central Zone. Meanwhile, the highest CH4 flux occurred at the sampling site with river discharge in Zhushan Bay. Further, the CH4 diffusion flux in the Central Zone showed apparent temporal variation, and the flux was positively correlated with water temperature (R2=0.53, P<0.01). However, the CH4 flux showed a poor correlation with water temperature in Zhushan Bay (P>0.05).In addition, both the dissolved CH4 concentration and CH4 flux in Zhushan Bay were positively correlated with the dissolved CH4 concentration in the inflowing river (concentration: R2=0.75, P<0.05; flux: R2=0.64, P<0.05). The results indicated that the external input of pollutants might weaken the effect of temperature on CH4 flux in Zhushan Bay, leading to the eutrophic Zhushan Bay being a significant source of atmospheric CH4. |
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| Keywords: | eutrophic lake methane diffusion flux temporal variation spatial variation external input |
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