揭示高碳环境中被忽视的溶解甲烷和氧化亚氮浓度热点及其原因

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Weixiang Li , Ziqian Zhu , Lan Lu , Xiang Gao , Shudian Peng , Zhouyun Xie , Shuai Li , Yi Li , Jie Liang
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引用次数: 0

摘要

内陆水域是甲烷(CH₄)和氧化亚氮(N₂O)排放的来源,并作为养分汇。然而,养分投入与温室气体(GHG)动态之间的相互作用尚不清楚。在洞庭湖两个碳氮水平不同的区域进行了野外调查和模式模拟。结果表明,当氮相对丰富时,高碳水平促进了CH₄的生成,抑制了CH₄的氧化,促进了CH₄的不完全反硝化过程。因此,碳主导区溶解度为40.49%,氮主导区溶解度为28.61%。编制了包含34,519个温室气体采样点的全球数据集,并生成响应曲线,以检验溶解温室气体浓度与环境变量之间的关系。这些曲线证实了洞庭湖观测到的趋势与全球格局一致。提出溶解有机碳(DOC)对溶解N2O浓度的四个阶段影响,有助于调和不同研究报道的溶解CH₄和N₂O浓度共存热点的环境特征差异。我们的研究表明,当氮丰富时,较高的碳水平显著促进溶解CH4和N2O浓度共存热点的广泛形成,但这一热点往往被忽视。本研究为养分投入与温室气体动态之间的关系提供了新的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Unraveling the overlooked dissolved methane and nitrous oxide concentration hotspots and their causes in higher carbon level environments

Unraveling the overlooked dissolved methane and nitrous oxide concentration hotspots and their causes in higher carbon level environments

Unraveling the overlooked dissolved methane and nitrous oxide concentration hotspots and their causes in higher carbon level environments
Inland waters are sources of methane (CH₄) and nitrous oxide (N₂O) emissions and serve as nutrient sinks. However, the interactions between nutrient inputs and greenhouse gas (GHG) dynamics remain unclear. Here, field investigations and model simulations were conducted in two regions of Dongting lake characterized by different carbon and nitrogen levels. The results reveal that high carbon levels promote CH₄ production, inhibit CH₄ oxidation, and promote incomplete denitrification process when nitrogen is relatively abundant. Consequently, dissolved CH₄ and N₂O concentrations are 40.49 % and 28.61 % higher in carbon-dominated regions than in nitrogen-dominated regions, respectively. A global dataset containing 34,519 GHGs sampling sites is compiled, and response curves are generated to examine the relationship between dissolved GHG concentrations and environmental variables. These curves confirm that the trends observed in Dongting lake are consistent with global patterns. A four-stage impact of dissolved organic carbon (DOC) on dissolved N2O concentration is proposed, helping to reconcile the differences in environmental characteristics on coexisting hotspots of dissolved CH₄ and N₂O concentrations reported in different studies. Our research indicates that, when nitrogen is abundant, higher carbon levels significantly promote the widespread formation of dissolved CH4 and N2O concentration co-existing hotspots, but they are often overlooked. This study provides insights into the relationship between nutrient inputs and GHGs dynamics.
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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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