温室气体
环境科学
风速
一氧化二氮
甲烷
边界层
扩散
湍流
北京
大气科学
湍流扩散
二氧化碳
气象学
中国
机械
化学
地理
地质学
物理
海洋学
考古
有机化学
热力学
作者
Boyi Liu,Ziqian Li,Jiayi Wang,Xinzhi Zhang,Lingwei Kong,Lin Zhu,Wenqing Shi
标识
DOI:10.1016/j.envres.2023.116472
摘要
Inland waters are significant sources of atmospheric greenhouse gas (GHG) emissions. The thin boundary layer (TBL) model is often employed as a means of estimating GHG diffusion in inland waters based on gas transfer velocity (k) at the air-water interface, with k being subject to regulation by near-surface turbulence that is primarily driven by wind speed in many cases. This wind speed-based estimation of k (wind-k), however, can introduce substantial uncertainty for turbulent waterways where wind speed does not accurately represent overall turbulence. In this study, GHG diffusion in the Beijing-Hangzhou Grand Canal (China), the first and longest man-made canal in the world, was estimated using the TBL model, revealing that this model substantially underestimated GHG diffusion when relying on wind-k. Strikingly, the carbon dioxide, methane, and nitrous oxide diffusions were respectively underestimated by 159%, 162%, and 124% when using this model. These findings are significant for developing more reliable approaches to evaluate GHG emissions from inland waterways.
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