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The mitigation efficacy and mechanism for H₂S and CH₄ emission from wastewater by adding bacterium-fungus mixture

Journal of Water Process Engineering 2025年 75卷

作者： Qi, Zheng Jia, Tipei Cong, Wenjie Xi, Jinying Environmental Simulation and Pollution Control State Key Joint Laboratory School of Environment Tsinghua University Beijing 100084 China

Anaerobic conditions in wastewater systems produce H₂S and CH₄, leading to pipeline corrosion and environmental risks. While various chemical solutions have been proposed, they often suffer from secondary pollution. This study developed and optimized a microbial strategy to reduce H₂S and CH₄ emissions by simultaneously adding yeast and bacterial strain. Optimal results were obtained with a 1:2 ratio of Bacillus subtilis to Saccharomyces cerevisiae at 10⁷ CFU/mL, achieving reductions of 65.8 % for H₂S and 62.4 % for CH₄. The addition of bacterium-fungus mixture altered carbon and sulfur metabolic pathways, community structure, and functional gene abundance, which ultimately reduced H₂S and CH₄ emissions. Specifically, the increase in redox potential leads to the accumulation of other sulfur compounds such as S₂O₃²⁻. Additionally, elevated concentrations of long-chain fatty acids and decreased acetate concentrations limited the substrates required for CH₄ production. Community structure and metagenomic analyses confirmed these changes, showing reduced relative abundances of sulfate-reducing bacteria, methanogens, and associated functional genes, as well as increased genes abundance associated with organic sulfur synthesis and propionate/butyrate production. These findings demonstrate that addition of bacterium-fungus mixture can effectively modulate microbial community structure and metabolic pathways, offering a viable strategy for reducing H₂S and CH₄ emissions in wastewater. © 2025 Elsevier Ltd

关键词： Bacterium-fungus mixture Methane Wastewater, sulfide

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Landfill depths alter microbial community structure and ecological assembly by affecting δ13C and organic matter

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Waste Management 2025年 203卷 114881页

作者： Wang, Yu-Xin Liu, Qing-Yu Du, Jun-Yan Sha, Hao-Qun Su, Jing Sun, Yue Mao, Jing-Ying He, Xiao-Song State Key Laboratory of Environmental Criteria and Risk Assessment Chinese Research Academy of Environmental Sciences Beijing100012 China Ministry of Ecology and Environment Key Laboratory of Simulation and Control of Groundwater Pollution Chinese Research Academy of Environmental Sciences Beijing100012 China Scientific Research Academy of Guangxi Environmental Protection Guangxi Nanning China

Microorganisms are crucial for the degradation of organic matter during landfill. However, the processes of microbial community assembly and ecological niche in landfill are poorly understood. Here, the mechanisms underlying microbial assembly in landfill were investigated based on neutral theory, niche distribution and network analysis. The results showed that moisture and potassium in the landfilled wastes increased with depth, while organic matter and δ13C were significantly higher in the middle layer than in the surface and bottom layers (P 15N significantly influencing bacterial community composition. Deterministic processes over stochastic processes were pronounced in the surface layer, with the latter accounting only for 3.8 %. As landfill depth increased, variations in organic matter composition led to a greater influence of stochastic processes (52.7 %), while deterministic processes accounted for only 5.8 %. The niche breadth of abundant taxa was narrower than conditionally rare or abundant taxa, with their distribution primarily regulated by waste δ13C (P 13C driven organic matter availability and stochastic assembly processes. © 2025 Elsevier Ltd

关键词： Listeria

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Impact of Mixed Benzene Site Exposure on Bioaccessibility in Simulated Lung Fluids and Health Risk Assessment

SSRN

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SSRN 2025年

作者： Ma, Xuemin Wang, Ying Chen, Shuhe Wu, Changyong Wang, Weipeng Wang, Yue Engineering Research Center of Environmental Pollution Control Chinese Research Academy of Environmental Sciences Beijing100012 China State Key Laboratory of Environmental Criteria and Risk Assessment Chinese Research Academy of Environmental Sciences Beijing100012 China State Key Laboratory of Environmental Criteria and Risk Assessment State Environmental Protection Key Laboratory of Simulation and Control of Groundwater Pollution Chinese Research Academy of Environmental Sciences Beijing100012 China College of Urban and Rural Construction Agricultural University of Hebei Baoding071001 China

Benzene, toluene, ethylbenzene, and xylenes (BTEX) are major volatile organic compounds (VOCs) associated with petroleum production, posing significant health risks via inhalation. Conventional risk assessments primarily focus on single-compound or single-concentration exposures, overlooking the complex mixed-exposure scenarios prevalent at contaminated sites. This study refines health risk assessment frameworks by incorporating bioaccessibility-driven indices for inhalation exposure. Using a membrane oxygenator system, benzene and ethylbenzene were evaluated as representative pollutants under single and mixed exposures at low (5 mg/kg), medium (10 mg/kg), and high (20 mg/kg) concentrations. Results revealed significantly enhanced bioaccessibility of benzene and ethylbenzene in simulated lung fluid under mixed exposure compared to single exposure (P © 2025, The Authors. All rights reserved.

关键词： Lung cancer

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Corrigendum to "Landscape ecological risk assessment and driving factors analysis based on optimal spatial scales in Luan River Basin, China" [Ecol. Indic. 169 (2024) 112821] (Ecological Indicators (2024) 169, (S1470160X24012780), (10.1016/***.2024.112821))

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Ecological Indicators 2025年 173卷

作者： Yang, Nijuan Zhang, Ting Li, Jianzhu Feng, Ping Yang, Nina State Key Laboratory of Hydraulic Engineering Intelligent Construction and Operation Tianjin University Tianjin300350 China State Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Tsinghua University Beijing100084 China

The authors regret "the incorrect use of Figure 1 in the paper. The original figure has now been replaced with the revised figure."[Figure presented] Revised Figure 1 The authors would like to apologise for ...

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Carbon, Nitrogen Cycling Microbes and Functional Genes Drive the Spread Mechanism of Antibiotic Resistance Genes in Landfill Humus Soil at Different Depths

SSRN

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SSRN 2025年

作者： Zhang, Zishuai Yang, Bingmei Zhang, Chi Dang, Qiuling Su, Jing Xi, Beidou State Key Laboratory of Environmental Criteria and Risk Assessment Chinese Research Academy of Environmental Sciences Beijing100012 China Key Laboratory of Groundwater Pollution Simulation and Control Ministry of Ecology and Environment Chinese Research Academy of Environmental Sciences Beijing100012 China

The resource utilization of landfill humus soil (LHS) is essential to the treatment of landfill., however, LHS poses ricks of antibiotic resistance genes (ARGs) and mobile genetic elements (MGEs) spreading. The present study revealed the mechanism of ARGs and MGEs spread driven by carbon (C), nitrogen (N) cycling microbes and functional genes at different depths of LHS. As depth increased, the abundance and diversity of C, N microbes, functional genes, ARGs and MGEs declined. C and N cycling processes were significantly correlated with the dissemination of ARGs and MGEs (p © 2025, The Authors. All rights reserved.

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Assessing the Significance of Regional Transport in Ozone pollution through Machine Learning: A Case Study of Hainan Island

ACS ES&T Air

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ACS ES&T Air 2025年第3期2卷 416-425页

作者： Jun Liu Meiru Chen Biwu Chu Tianzeng Chen Qingxin Ma Yonghong Wang Peng Zhang Hao Li Bin Zhao Rongfu Xie Qing Huang Shuxiao Wang Hong He State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing 100085 China State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing 100085 China；University of Chinese Academy of Sciences Beijing 100049 China State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing 100085 China；Center for Excellence in Regional Atmospheric Environment Institute of Urban Environment Chinese Academy of Sciences Xiamen 361021 China；University of Chinese Academy of Sciences Beijing 100049 China School of Environment Tsinghua University Beijing 100084 China College of Ecology and Environment Hainan University Haikou 570228 China；Hainan Research Academy of Environmental Sciences Haikou 571126 China School of Environmental Science and Engineering Hainan University Haikou 570228 China

Regional transport of air pollutants is a serious challenge to outdoor O3pollution control. Characterizing the transport of air pollutants by traditional air quality models heavily relies on accurate precursor emission inventories, chemical reaction mechanisms, and meteorological factors. In this study, the pollutant concentrations of upwind cities were incorporated as features into a random forest regression model (Traj-RF) to investigate the contribution of regional transport to local O3pollution. Hainan island was selected as the target area in this study, due to its air quality being affected significantly by regional transport. The Traj-RF model shows good predictive performance for O3with a coefficient of determination (R2) of 0.68 on the independent test set based on only observed air pollutants concentrations and meteorological data. The results of the Traj-RF model show that direct O3transport from upwind areas contributes approximately 27.5% to the O3concentration in Hainan, effectively highlighting the substantial role of regional transport in Hainan’s O3pollution. This refined machine learning method may have the potential to assess the impact of pollutant transport on regional air quality.

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Collaborative Management of Water-Food-Energy Nexus Under Multiple Uncertainty 15th

Collaborative Management of Water-Food-Energy Nexus Under Mu...

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15th International Conference on environmental Science and Development, ICESD 2024

作者： Zhou, Yanxiao Li, Yongping Huang, Guohe Li, Yanfeng State Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Beijing Normal University Beijing China Institute for Energy Environment and Sustainable Communities University of Regina Regina Sask Canada

ISBN: (纸本)9783031886829

Water shortage and food security have posed significant challenges to the sustainable management of water-food-energy (WFE) nexus. In this study, a fixed-mix joint-probabilistic constraints programming (FJCP) approach is developed for obtaining the sustainable WFE strategies. Then, a FJCP-WFE model is formulated with considering 36 scenarios. Results reveal that (i) system benefit and total water allocation would increase with the rising α as well as decreasing p levels, and decision makers can obtain the compromise among system violation risk, economic benefit and water consumption by varying p and α levels;(ii) the changing α level would influence water allocation structure, where the proportion of agricultural water would decrease by 4.9% from α = 0.47 to α = 0;(iii) the system benefit and total water allocation of FJCP would be lower than those of FCCP, with reductions of 0.001–0.04% and 1.92–5.32%, respectively. Results indicate that FJCP method is suitable for arid areas, which can find more practical alternatives for the WFE nexus system management, and promote regional sustainable development. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： fixed-mix multiple uncertainty water-food-energy nexus

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Kinetic Modeling of Secondary Organic Aerosol in a Weather-Chemistry Model: Parameterizations, Processes, and Predictions for GOAmazon

ACS ES&T Air

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ACS ES&T Air 2025年第2期2卷 249-263页

作者： Yicong He Kelsey R. Bilsback Manish Shrivastava Rahul A. Zaveri John E. Shilling John H. Seinfeld Bin Zhao Shuxiao Wang Christopher D. Cappa Jeffrey R. Pierce Shantanu H. Jathar Department of Mechanical Engineering Colorado State University Fort Collins Colorado 80523 United States；State Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Tsinghua University Beijing 100084 China；State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing 100084 China Department of Mechanical Engineering Colorado State University Fort Collins Colorado 80523 United States；PSE Healthy Energy Oakland California 94612 United States Pacific Northwest National Laboratory Richland Washington 99354 United States Divison of Chemistry and Chemical Engineering California Institute of Technology Pasadena California 91125 United States State Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Tsinghua University Beijing 100084 China；State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing 100084 China Department of Atmospheric Science Colorado State University Fort Collins Colorado 80521 United States Department of Civil and Environmental Engineering University of California Davis Davis California 95616 United States Department of Mechanical Engineering Colorado State University Fort Collins Colorado 80523 United States

Secondary organic aerosol (SOA) forms and evolves in the atmosphere through many pathways and processes, over diverse spatial and time scales. Hence, there is a need to represent these widely varying kinetic processes in large-scale atmospheric models to allow for accurate predictions of the abundance, properties, and impacts of SOA. In this work, we integrated a kinetic, process-level model (simpleSOM-MOSAIC) into a weather-chemistry model (WRF-Chem) to simulate the oxidation chemistry and microphysics of atmospheric SOA. simpleSOM-MOSAIC simulates multigenerational gas-phase chemistry, autoxidation reactions, aqueous chemistry, heterogeneous oxidation, oligomerization, and phase-state-influenced gas/particle partitioning of SOA. As a case study, the integrated WRF-Chem-simpleSOM-MOSAIC (WC-SSM) model was used to simulate the photochemical evolution downwind of a large city (Manaus, Brazil) in the Amazon and, in turn, study the anthropogenic and biogenic interactions in an otherwise pristine environment. Consistent with previous work, we found that OA was enhanced by up to a factor of 4 in the urban plume due to elevated hydroxyl radical (OH) concentrations, relative to the background, and that this OA was dominated by SOA from biogenic precursors (80%). In addition to accurately simulating the OA enhancement in the urban plume, the model reproduced the magnitude of the OA oxygen-to-carbon (O:C) ratio and broadly tracked the evolution of the aerosol number size distribution. Our work highlights the importance of including an integrated, kinetic representation of SOA processes in an atmospheric model.

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Defect anchored single atomic Tin-nitrogen sites on graphene nanomesh for enhanced CO2 electroreduction to CO

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Journal of environmental Sciences (China) 2025年 157卷 220-231页

作者： Wu, Jianguo Bi, Guiyue Zhang, Tianyu Liang, Shuyu Wang, Qiang Beijing Key Lab for Source Control Technology of Water Pollution College of Environmental Science and Engineering Beijing Forestry University Beijing 100083 China Engineering Research Center for Water Pollution Source Control & Eco-remediation College of Environmental Science and Engineering Beijing Forestry University Beijing 100083 China State Key Laboratory of Catalysis Dalian Institute of Chemical Physics Chinese Academy of Sciences Dalian116023 China

Developing Sn, nitrogen-doped carbon catalysts (Sn-NC) for efficient CO2 electroreduction (CO2RR) to CO remains a great challenge. Here, we employed a defective hierarchical porous graphene nanomesh to anchor the single atomic tin-nitrogen sites (A-Sn-NGM) for effective CO2 electroreduction. The synthesized A-Sn-NGM typically showed remarkable CO2RR activity towards CO production, which achieved a maximum CO Faradaic efficiency (FECO) of 98.7 % and a turnover frequency of 5117.4 h−1 at a potential of −0.6 V (vs. RHE). Further analysis proves that the increased activity to CO production of A-Sn-NGM derives from the enlarged roughness and enhanced intrinsic activity. Density-functional theory (DFT) calculations indicate that the adjacent carbon defects anchored Sn-Nx coordination sites can markedly inhibit the competing hydrogen evolution reaction (HER) and lower the energy barrier for the formation of *COOH intermediates as compared to bulk Sn-Nx sites without carbon defects. This work provides a reliable method by engineering the carbon support to improve the CO2RR performance for single-atom catalysts. © 2024

关键词： Electrolytic reduction

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N-Nitrosamines in Karst Groundwaters in Southwestern China: Risks and Implications for Drinking Water Safety

SSRN

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SSRN 2025年

作者： Gu, Xiongwei Xu, Liwei Huang, Xin Chen, Yingjie Shan, Yuanyu Yan, Xiaoyu Liu, Zhaojue Zeng, Hong-Hu Chen, Wenwen Huang, Huanfang Guangxi Key Laboratory of Environmental Pollution Control Theory and Technology Guilin University of Technology Guilin541006 China Engineering Research Center of Watershed Protection and Green Development University of Guangxi Guilin University of Technology Guilin541006 China State Environmental Protection Key Laboratory of Water Environmental Simulation and Pollution Control South China Institute of Environmental Sciences MEE Guangzhou510535 China SCNU Environmental Research Institute Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment South China Normal University Guangzhou510006 China

Groundwater is a vital drinking water source for populations in remote karst regions. However, the highly developed karst tube systems facilitate the infiltration of surface wastewater containing N-nitrosamines, raising concerns about groundwater safety. To assess the safety of groundwater and identify which types are safer for consumption, this study investigated N-nitrosamines in various groundwater types, including ground river, karst cavern, well, and mountain spring waters, in Guangxi, a typical karst region in southwestern China. The total concentrations of eight N-nitrosamines in groundwater ranged from 5.1 to 70.3 ng/L, with N-nitrosodiethylamine (NDEA), N-nitrosodimethylamine (NDMA), and N-nitrosopyrrolidine (NPYR) being the dominant species. Ground river water exhibited significantly higher N-nitrosamine concentrations than karst cavern, well, and mountain spring waters. Significant correlations between N-nitrosamines and dissolved inorganic nitrogen suggested their co-emissions from domestic wastewater and the secondary formation potential of N-nitrosamines in groundwater. Redundancy analysis further identified domestic and swine wastewater as the primary sources. Ground river and mountain spring waters posed the highest risks among the four groundwater types, with 30% and 20% of sites, respectively, exceeding acceptable cancer risk thresholds. These findings underscore the importance of thorough water treatment before groundwater is used for drinking. Strict livestock farming and domestic wastewater discharge regulations are essential to mitigate contamination risks, particularly in karst areas. © 2025, The Authors. All rights reserved.

关键词： Nitrosamines

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