Mingzhe Guo , Wei Tang , Guangyao Zhao , Cheng Song , Hong Liu
{"title":"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","authors":"Mingzhe Guo , Wei Tang , Guangyao Zhao , Cheng Song , Hong Liu","doi":"10.1016/j.watres.2025.124659","DOIUrl":null,"url":null,"abstract":"<div><div>Small artificial waterbodies (SAWs) are significant hotspots for methane (CH<sub>4</sub>) emissions. Recent findings on CH<sub>4</sub> production by phytoplankton via autotrophic pathways in oxic water columns have expanded the conceptual framework of surface water CH<sub>4</sub> sources beyond the traditional heterotrophic pathways in anaerobic sediments. However, the mechanisms regulating CH<sub>4</sub> concentrations (CCH<sub>4</sub>) 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 CCH<sub>4</sub> 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 CCH<sub>4</sub> 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, CCH<sub>4</sub> 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 CCH<sub>4</sub> was directly driven by DOC. DOM characteristics serves as a common indirect influencing factor on CCH<sub>4</sub>. These results highlight the direct role of the phytoplankton methane production pathway in driving CCH<sub>4</sub> with a high degree of DOM degradation.</div></div>","PeriodicalId":443,"journal":{"name":"Water Research","volume":"288 ","pages":"Article 124659"},"PeriodicalIF":12.4000,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Methane concentration dynamics and association with dissolved carbon in different small artificial waterbodies: Implications for origin and emission\",\"authors\":\"Mingzhe Guo , Wei Tang , Guangyao Zhao , Cheng Song , Hong Liu\",\"doi\":\"10.1016/j.watres.2025.124659\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Small artificial waterbodies (SAWs) are significant hotspots for methane (CH<sub>4</sub>) emissions. Recent findings on CH<sub>4</sub> production by phytoplankton via autotrophic pathways in oxic water columns have expanded the conceptual framework of surface water CH<sub>4</sub> sources beyond the traditional heterotrophic pathways in anaerobic sediments. However, the mechanisms regulating CH<sub>4</sub> concentrations (CCH<sub>4</sub>) 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 CCH<sub>4</sub> 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 CCH<sub>4</sub> 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, CCH<sub>4</sub> 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 CCH<sub>4</sub> was directly driven by DOC. DOM characteristics serves as a common indirect influencing factor on CCH<sub>4</sub>. These results highlight the direct role of the phytoplankton methane production pathway in driving CCH<sub>4</sub> with a high degree of DOM degradation.</div></div>\",\"PeriodicalId\":443,\"journal\":{\"name\":\"Water Research\",\"volume\":\"288 \",\"pages\":\"Article 124659\"},\"PeriodicalIF\":12.4000,\"publicationDate\":\"2025-09-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Water Research\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0043135425015623\",\"RegionNum\":1,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ENVIRONMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Water Research","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0043135425015623","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
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.
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.