构建硫菱铁矿驱动人工湿地自养反硝化途径对水净化和温室气体减排的新认识

IF 12.4 1区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Water Research Pub Date : 2025-01-15 DOI:10.1016/j.watres.2025.123130

Chengye Feng , Xinwen Zhang , Guangcan Gao , Kerui Ren , Zichao Li , Zhenghe Xu , Dong Wei , Jian Zhang

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引用次数: 0

摘要

硫菱铁矿驱动的自养反硝化（SSAD）在人工湿地的营养物去除方面受到越来越多的关注。然而，它在同时净化水和减少温室气体（ghg）方面的有效性仍然不清楚。以石英砂（C-CW）、硫（S-CW）和硫-菱石混合基质（SS-CW）为填料，构建垂直流人工湿地（VFCWs），探讨垂直流人工湿地对水净化和温室气体减排的作用机制。结果表明，SSAD优化了碳、氮、磷和硫的转化过程，提高了CWs的电子传递系统活性（ETSA）。同时，SS-CW的总氮（TN）去除率最高（91.6±2.2%），甲烷（CH4）和氧化亚氮（N2O）排放量最低。与C-CW相比，CH4和N2O的还原效率分别为76.7±6.7%和93.4±2.2%。这主要归功于在SS-CW中构建了氨氧化耦合铁还原（Feammox）、SSAD和多电子驱动的甲烷厌氧氧化（AOM）途径，实现了CH4和N2O的共减排。对功能基因和微生物群落结构的分析表明，SS-CW具有较高的温室气体减排相关基因丰度，富集了更多的反硝化细菌和甲烷营养细菌。进一步的宏基因组分析结果表明，电子传递途径和温室气体减排途径在SS-CW中均显著增强。本研究结果为利用SSAD技术提高CWs的养分去除效率，同时减少温室气体排放提供了新的思路。

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A new insight on simultaneous water purification and greenhouse gas reduction by constructing sulfur-siderite driven autotrophic denitrification pathways in constructed wetlands

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A new insight on simultaneous water purification and greenhouse gas reduction by constructing sulfur-siderite driven autotrophic denitrification pathways in constructed wetlands

Sulfur-siderite driven autotrophic denitrification (SSAD) has received increasing attention for nutrient removal in constructed wetlands (CWs). Nevertheless, its effectiveness in simultaneous water purification and greenhouse gases (GHGs) reduction remains obscure. In this study, three vertical flow constructed wetlands (VFCWs), filled with quartz sand (CCW), sulfur (S-CW), and sulfur-siderite mixed substrates (SS-CW), were constructed to investigate the underlying mechanisms of SSAD on water purification enhancement and GHGs reduction. Results indicated that SSAD optimized the carbon, nitrogen, phosphorus, and sulfur transformation processes and enhanced the electron transfer system activity (ETSA) in CWs. Meanwhile, it resulted in the highest total nitrogen (TN) removal efficiency (91.6 ± 2.2 %) and the lowest methane (CH₄) and nitrous oxide (N₂O) emissions from SS-CW. Compared with CCW, the reduction efficiencies of CH₄ and N₂O were 76.7 ± 6.7 % and 93.4 ± 2.2 %, respectively. This was mainly ascribed to constructing ammonia oxidation coupled with iron reduction (Feammox), SSAD and multi-electron driven anaerobic oxidation of methane (AOM) pathway in SS-CW which could achieve co-emission reduction of CH₄ and N₂O. Analysis of the functional genes and microbial community structure revealed that higher abundance of genes associated with GHGs mitigation, more denitrifying bacteria and methanotrophic bacteria were enriched in SS-CW. Further analysis of metagenomic results showed that both the electron transfer pathway and the GHGs mitigation pathway were significantly enhanced in SS-CW. The results of this study provide a new insight into using SSAD as a method to improve the nutrient removal efficiency of CWs while reducing GHGs.

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来源期刊

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.