不同人工水体中甲烷浓度动态及其与溶解碳的关系:对来源和排放的影响

IF 12.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Mingzhe Guo , Wei Tang , Guangyao Zhao , Cheng Song , Hong Liu
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引用次数: 0

摘要

小型人工水体是甲烷(CH4)排放的重要热点。最近关于浮游植物在氧水柱中通过自养途径产生CH4的研究发现,扩展了地表水CH4来源的概念框架,超出了传统的厌氧沉积物中的异养途径。然而,在修订后的框架下,SAWs中调节CH4浓度(CCH4)的机制仍不清楚。为了评估自养(溶解无机碳驱动)和异养(溶解有机碳驱动)途径在不同SAW类型中驱动CCH4的作用,我们在26个SAW的藻华期进行了为期两年的实地研究,包括休闲水体(RWs)、农业水体(AWs)和半集约化水产养殖水体(SIAWs)。结果表明,RWs (0.66 μmol L⁻¹)、AWs (0.83 μmol L⁻¹)和siws (0.38 μmol L⁻¹)的CCH4平均水平存在显著差异,对应于不同的水生生态系统特征。在RWs和siws中,腐殖质样物质分别占溶解有机质(DOM)的53.98%和57.27%(平均值),CCH4由DIC直接驱动。相比之下,具有较低腐殖质类物质比例(平均43.87%)的AWs表现出更频繁的异常高甲烷排放通量值(使用静态室方法估计),这可能是由于沉积物的沸腾,CCH4直接由DOC驱动。DOM特性是CCH4的一个常见的间接影响因素。这些结果突出了浮游植物产甲烷途径在驱动CCH4和DOM高度降解中的直接作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Methane concentration dynamics and association with dissolved carbon in different small artificial waterbodies: Implications for origin and emission

Methane concentration dynamics and association with dissolved carbon in different small artificial waterbodies: Implications for origin and emission

Methane concentration dynamics and association with dissolved carbon in different small artificial waterbodies: Implications for origin and emission
Small artificial waterbodies (SAWs) are significant hotspots for methane (CH4) emissions. Recent findings on CH4 production by phytoplankton via autotrophic pathways in oxic water columns have expanded the conceptual framework of surface water CH4 sources beyond the traditional heterotrophic pathways in anaerobic sediments. However, the mechanisms regulating CH4 concentrations (CCH4) in SAWs under this revised framework remain unclear. To assess the respective roles of autotrophic (dissolved inorganic carbon, DIC-driven) and heterotrophic (dissolved organic carbon, DOC-driven) pathways in driving CCH4 across SAW types, we conducted a two-year field study during algal bloom periods in 26 SAWs, including recreational waterbodies (RWs), agricultural waterbodies (AWs), and semi-intensive aquaculture waterbodies (SIAWs). Results indicate that CCH4 mean levels differed significantly among RWs (0.66 μmol L⁻¹), AWs (0.83 μmol L⁻¹), and SIAWs (0.38 μmol L⁻¹), corresponding to different aquatic ecosystem characteristics. In RWs and SIAWs, where humic-like substances accounted for 53.98 % and 57.27 % (means) of dissolved organic matter (DOM), respectively, CCH4 was directly driven by DIC. In contrast, AWs, with a lower proportion of humic-like substances (mean: 43.87 %), exhibited more frequent instances of exceptionally high methane emission fluxes values—estimated using the static chamber method—likely due to ebullition from sediments, with CCH4 was directly driven by DOC. DOM characteristics serves as a common indirect influencing factor on CCH4. These results highlight the direct role of the phytoplankton methane production pathway in driving CCH4 with a high degree of DOM degradation.
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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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