蓝藻衰变改变了富营养化湖泊垂直沉积剖面上产生甲烷和二氧化碳的热点区域

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2024-08-22 DOI:10.1016/j.watres.2024.122319
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引用次数: 0

摘要

据报道,源自蓝藻的有机碳会加剧湖泊沉积物的温室气体排放。然而,CH 和 CO 从沉积物中产生并释放到大气中的具体过程仍不清楚,尤其是在富营养化湖泊中。为了研究蓝藻严重积累对沉积物中 CH 和 CO 的产生和迁移的影响,本研究考察了长江中下游不同营养级的湖泊。结果表明,富营养化放大了CH和CO的排放,尤其是在太湖,通量峰值分别为929.9和7222.5 μmol/m-h,反映了上覆水域的溶解气体水平。沉积有机碳的增加提高了孔隙水中溶解的CH和CO浓度,同位素追踪显示蓝藻衍生碳对表层沉积孔隙水CH和CO浓度的升高比对深层沉积孔隙水CH和CO浓度的升高更明显。蓝藻衍生碳沉积在表层沉积物上,提高了有机碳和湿度水平,营造了一个厌氧的微环境,有利于提高表层沉积物中生物源 CH 和 CO 的产生。在蓝藻积累最严重的微生态系统中,表层沉积物中 CH 和 CO 的平均浓度分别达到 6.9 和 2.3 mol/L,超过了在底层沉积物中观察到的 4.7 和 1.4 mol/L,这表明 CH 和 CO 的热点从深层向表层上移。这些发现加深了我们对富营养化诱导湖泊沉积物碳排放机制的理解,并提供了更准确的湖泊碳排放评估。
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Cyanobacteria decay alters CH4 and CO2 produced hotspots along vertical sediment profiles in eutrophic lakes

Cyanobacteria-derived organic carbon has been reported to intensify greenhouse gas emissions from lacustrine sediments. However, the specific processes of CH4 and CO2 production and release from sediments into the atmosphere remain unclear, especially in eutrophic lakes. To investigate the influence of severe cyanobacteria accumulation on the production and migration of sedimentary CH4 and CO2, this study examined the different trophic level lakes along the middle and lower reaches of the Yangtze River. The results demonstrated that eutrophication amplified CH4 and CO2 emissions, notably in Lake Taihu, where fluxes peaked at 929.9 and 7222.5 μmol/m2·h, mirroring dissolved gas levels in overlying waters. Increased sedimentary organic carbon raised dissolved CH4 and CO2 concentrations in pore-water, with isotopic tracking showing cyanobacteria-derived carbon specifically elevated CH4 and CO2 in surface sediment pore-water more than in deeper layers. Cyanobacteria-derived carbon deposition on surface sediment boosted organic carbon and moisture levels, fostering an anaerobic microenvironment conducive to enhanced biogenic CH4 and CO2 production in surface sediments. In the microcosm systems with the most severe cyanobacteria accumulation, average CH4 and CO2 concentrations in surface sediments reached 6.9 and 2.3 mol/L, respectively, surpassing the 4.7 and 1.4 mol/L observed in bottom sediments, indicating upward migration of CH4 and CO2 hotspots from deeper to surface layers. These findings enhance our understanding of the mechanisms underlying lake sediment carbon emissions induced by eutrophication and provide a more accurate assessment of lake carbon emissions.

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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
期刊介绍: Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.
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