Guangdong-Hong Kong Joint Laboratory for Water Security, Beijing Normal University, Zhuhai 519087, China; Center for Water Research, Advanced Institute of Natural Sciences, Beijing Normal University, Zhuhai 519087, China; College of Water Sciences, Beijing Normal University, Beijing 100875, China.
Guangdong-Hong Kong Joint Laboratory for Water Security, Beijing Normal University, Zhuhai 519087, China; Center for Water Research, Advanced Institute of Natural Sciences, Beijing Normal University, Zhuhai 519087, China.
Water Res. 2023 Sep 1;243:120351. doi: 10.1016/j.watres.2023.120351. Epub 2023 Jul 13.
Estuaries are significant sources of the ozone-depleting greenhouse gas NO. However, owing to large spatial heterogeneity and discrete measurements, NO emissions from estuaries are considerably uncertain. Microbial processes are disputed in terms of the dominant NO production under severe human disturbance. Herein, combining real-time and high-resolution measurements with bioinformatics analysis, we accurately mapped the consecutive two-dimensional NO distribution in the Pearl River Estuary (PRE), China, and revealed its underlying microbial mechanisms. Both the horizontal and vertical distributions of NO concentrations varied greatly at fine scales. Supersaturated NO concentrations (9.1 to 132.2 nmol/L) in the surface water decreased along the estuarine salinity gradient, with several emission hotspots scattering upstream. The vertical NO distribution showed marked differences from complete mixing upstream to incomplete mixing downstream, with constant or changeable concentrations with increasing depth. Furthermore, spatially varied denitrifying and nitrifying microorganisms controlled the NO production and distribution in the PRE, with denitrification playing the dominant role. The nirK-type and nirS-type denitrifying bacteria were the primary producers of NO in the water and sediment columns, respectively. In addition, substrate concentration (NO and DOC) regulated NO production by affecting key microbial processes, while physical influences (water-mass mixing and salt wedges) reshaped NO distribution. With these information, a conceptual model of estuarine NO production and distribution was constructed to generalize the possible biochemical processes under environmental constraints, which could provide insights into the NO biogeochemical cycle and emission mitigation from a mechanistic perspective.
河口是消耗臭氧的温室气体一氧化二氮(NO)的重要来源。然而,由于空间异质性大且测量不连续,河口的 NO 排放存在很大的不确定性。在人类强烈干扰下,微生物过程对于主导 NO 生成存在争议。在此,我们结合实时和高分辨率测量与生物信息学分析,准确绘制了中国珠江河口(PRE)连续的二维 NO 分布,并揭示了其潜在的微生物机制。NO 浓度的水平和垂直分布在精细尺度上变化很大。表层水中过饱和的 NO 浓度(9.1 至 132.2 nmol/L)沿河口盐度梯度降低,几个排放热点在上游散射。NO 垂直分布与完全混合上游和不完全混合下游有明显差异,随着深度的增加浓度保持不变或变化。此外,空间变化的反硝化和硝化微生物控制了 PRE 中的 NO 生成和分布,反硝化作用起主要作用。nirK 型和 nirS 型反硝化细菌分别是水和沉积物柱中 NO 的主要生产者。此外,基质浓度(NO 和 DOC)通过影响关键微生物过程来调节 NO 的生成,而物理影响(水体混合和盐楔)重塑了 NO 的分布。有了这些信息,构建了一个河口 NO 生成和分布的概念模型,以概括环境约束下可能的生化过程,这可以从机制角度深入了解 NO 生物地球化学循环和排放缓解。