风速对温室气体水-气界面交换系数影响的试验研究
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1:重庆交通大学,重庆 400074 ;2:中国科学院重庆绿色智能技术研究院,重庆 400714 ;3:中国科学院大学重庆学院,重庆 400714

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国家自然科学基金项目(52209101,U2340222)和国家重点研发计划项目(2022YFC3203504)联合资助


Experimental study on the effect of wind speed on the water-air gas exchange coefficient of greenhouse gases
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1: Chongqing Jiaotong University, Chongqing 400074 , P.R.China ;2: Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714 , P.R.China ;3: Chongqing School, University of Chinese Academy Sciences, Chongqing 400714 , P.R.China

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    摘要:

    湖泊、水库等内陆水域近年来被认为是碳排放热区,其中发生在水-气界面的二氧化碳(CO2)、甲烷(CH4)等温室气体扩散释放是水域碳排放的最重要途径。水-气界面交换系数(KL)是计算温室气体扩散释放通量的关键参数,而风速通常被认为是造成湖泊、水库水面水体湍动的最重要因素,也是影响KL大小的主要因子。目前温室气体KL与风速的定量关系大多是基于六氟化硫(SF6)等示踪气体的野外监测数据,易受到其他野外影响因素干扰,然而目前尚缺乏单一风速对CO2、CH4等温室气体KL的影响研究,给定量评估水域温室气体扩散释放通量带来不确定性。探究不同风速影响下水体CO2和CH4的浓度变化及其在水-气界面释放规律的试验结果表明,CO2与CH4的k600(施密特数为600时的KL)大小随着风速的增大而增大,分析表明风可促进水面湍动,且风生成的水面波增大了气液接触面积,从而促进水-气交换。对比相同风速条件下CO2和CH4的k600发现,CH4k600值平均约为CO2的1.29倍,且CO2和CH4的k600差异与风速呈正相关关系。这表明除分子扩散差异外,气体溶解度不同导致的微气泡传输通量等作用也会影响气体的水-气界面交换,且气体间水-气界面交换差异受水体紊动影响。此外,基于试验结果分别建立了风速影响下CO2与CH4k600取值公式,应用我国三峡水库实测CO2与CH4浓度数据对该公式与国际水电协会(IHA)推荐的淡水水库温室气体k600经验公式进行通量计算结果对比,表明不同公式的通量计算结果具有较好的一致性。与推荐公式相比,本研究公式计算得到的CO2和CH4通量分别是推荐公式通量计算结果均值的0.55倍和0.72倍。建议采用多个k600计算公式的结果进行对比分析,以减少人为选择不同公式带来的结果偏差。研究结果将深化对不同温室气体水-气交换规律及其差异的认识,有助于揭示湖泊、水库等水域温室气体扩散通量的影响机制,从而为提升碳排放评估的准确性提供科学依据。

    Abstract:

    Inland waters, such as lakes and reservoirs, have been recognized as hot spots for carbon emissions in recent years, in which the diffuse release of greenhouse gases (GHGs), such as carbon dioxide (CO2) and methane (CH4), occurring at the air-water interface, is the primary pathway of carbon emissions. The water-air gas exchange coefficient (KL) is the key factor to calculate the fluxes of GHGs diffusion. The wind speed is usually regarded as the key driver of turbulence at the water surface of lakes and reservoirs, and is also the main factor determining the value ofKL. Most of the quantitative relationships between GHGsKL and wind speed are established based on field observation data of tracer gases such as sulfur hexafluoride (SF6), which may be disturbed by other factors. However, there is still a lack of experimental research on the influence of wind speed on the GHGsKL, such as CO2 and CH4, which leads to uncertainty in the quantitative assessment of the GHGs diffuse release. The experiment of investigating the CO2 and CH4 concentrations changes and diffusion pattern in water under different wind speeds was conducted. The results show that the values of k600 for CO2 and CH4 (i.e.,KL at a Schmidt number of 600) increase with increasing wind speed since the wind will enhance turbulence on the water surface. Additionally, wind-generated surface waves can increase the gas-liquid contact area, thereby promoting water-air interface exchange. Comparing the k600 of CO2 and CH4 under the same wind speed, it is found that the average k600 value of CH4 is about 1.29 times that of CO2. It indicates that in addition to differences in molecular diffusion, factors such as microbubble transport flux caused by varying gas solubility also affect the water-air interface exchange. Furthermore, the differences in water-air interface exchange among gases are influenced by water turbulence. Based on the experimental results, the formulae for k600 of CO2 and CH4 under different wind speeds was established. A comparison of flux calculation using measured CO2 and CH4 concentration data from Chinas Three Gorges Reservoir with the empirical formulae for GHGs k600 in freshwater reservoirs recommended by the International Hydropower Association (IHA) was conducted. The results indicate that the flux calculations obtained from different formulae show a good trend of consistency, the CO2 and CH4 fluxes calculated in this study are 0.55 times and 0.72 times the mean values of the fluxes calculated using the recommended formula, respectively. It is suggested to adopt the results from multiple calculation formulae for comparative analysis to reduce the resulting bias caused by the artificial selection of different formulae. This study provides key insights into the patterns and mechanisms of greenhouse gas exchange across the water-air interface in aquatic systems. These findings will inform more accurate assessment models for carbon emissions from lakes and reservoirs.

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胥澳,李哲,黄菊萍,马宏海.风速对温室气体水-气界面交换系数影响的试验研究.湖泊科学,2025,37(6):2146-2159. DOI:10.18307/2025.0653

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  • 收稿日期:2024-11-06
  • 最后修改日期:2025-02-18
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  • 在线发布日期: 2025-11-03
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