N-containing dissolved organic matter promotes dissolved inorganic carbon supersaturation in the Yangtze River, China

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2023-10-28 DOI:10.1016/j.watres.2023.120808
Lize Meng , Jingya Xue , Chu Zhao , Tao Huang , Hao Yang , Kan Zhao , Zhaoyuan Yu , Linwang Yuan , Qichao Zhou , Anne M. Kellerman , Amy M. McKenna , Robert G.M. Spencer , Changchun Huang
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Abstract

Dissolved inorganic carbon (DIC) represents a major global carbon pool and the flux from rivers to oceans has been observed to be increasing. The effect of weathering with respect to increasing DIC has been widely studied in recent decades; however, the influence of dissolved organic matter (DOM) on increasing DIC in large rivers remains unclear. This study employed stable carbon isotopes and Fourier transform ion cyclotron mass spectrometry (FT-ICR MS) to investigate the effect of the molecular composition of DOM on the DIC in the Yangtze River. The results showed that organic matter is an important source of DIC in the Yangtze River, accounting for 40.0 ± 12.1 % and 32.0 ± 7.2 % of DIC in wet and dry seasons, respectively, and increased along the river by approximately three times. Nitrogen (N)-containing DOM, an important composition in DOM with a percentage of ∼40 %, showed superior oxidation state than non N-containing DOM, suggesting that the presence of N could improve the degradable potential of DOM. Positive relationship between organic sourced DIC (DICOC) and N-containing DOM formulae indicated that N-containing DOM is crucial to facilitate the mineralization of DOM to DICOC. N-containg molecular formular with low H/C and O/C ratio were positively correlated with DICOC further verified these energy-rich and biolabile compounds are preferentially decomposed by bacteria to produce DIC. N-containing components significantly accelerated the degradation of DOM to DICOC, which is important for understanding the CO2 emission and carbon cycling in large rivers.

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含氮溶解有机质促进长江溶解无机碳过饱和
溶解无机碳(DIC)是一个主要的全球碳库,从河流到海洋的通量已被观测到正在增加。近几十年来,人们广泛研究了风化对DIC增加的影响;然而,溶解有机质(DOM)对大河DIC升高的影响尚不清楚。本研究采用稳定碳同位素和傅里叶变换离子回旋质谱(FT-ICR MS)研究了DOM分子组成对长江流域DIC的影响。结果表明,有机质是长江流域DIC的重要来源,在干湿季节分别占DIC的40.0±12.1%和32.0±7.2%,且沿江增加了约3倍。含氮DOM是DOM的重要组成部分,含氮DOM的氧化态优于不含氮的DOM,占比约为40%,说明N的存在可以提高DOM的降解潜力。有机源DIC (DICOC)与含n DOM分子式呈正相关,说明含n DOM对DOM矿化生成DICOC至关重要。低H/C、低O/C的含n分子式与DICOC呈正相关,进一步验证了这些高能量、具有生物活性的化合物优先被细菌分解生成DIC。含氮组分显著加速了DOM对DICOC的降解,这对了解大河的CO2排放和碳循环具有重要意义。
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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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