检索结果-内蒙古大学图书馆

Machine learning for membrane bioreactor research:principles,methods,applications,and a tutorial

Frontiers of environmental Science & Engineering 2025年第3期19卷 119-144页

作者： Yizhe Lai Kang Xiao Yifan He Xian Liu Jihua Tan Wenchao Xue Aiqian Zhang Xia Huang Beijing Yanshan Earth Critical Zone National Research Station College of Resources and EnvironmentUniversity of Chinese Academy of SciencesBeijing 101408China Key Laboratory of Earth System Numerical Modeling and Application University of Chinese Academy of SciencesBeijing 101408China Environmental Chemistry Faculty College of Resources and EnvironmentUniversity of Chinese Academy of SciencesBeijing 101408China State Key Laboratory of Environmental Chemistry and Ecotoxicology Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China Department of Energy Environmentand Climate ChangeSchool of EnvironmentResourcesand DevelopmentAsian Institute of TechnologyP.O.Box 4Klong LuangPathumthani 12120Thailand State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China

Membrane fouling poses a significant challenge to the sustainable development of membrane bioreactor(MBR)technologies for wastewater *** accurate prediction of the membrane filtration process is of great importance for identifying and controlling *** learning methods address the limitations of traditional statistical approaches,such as low accuracy,poor generalization ability,and slow convergence,particularly in predicting complex filtration and fouling processes within the realm of big *** article provides an in-depth exposition of machine learning *** study then reviews advances in MBRs that utilize machine learning methods,including artificial neural networks(ANN),support vector machines(SVM),decision trees,and ensemble *** on current literature,this study summarizes and compares the model input and output characteristics(including foulant characteristics,solution environments,filtration conditions,operating conditions,and time factors),as well as the selection of models and optimization *** modeling procedures of SVM,random forest(RF),back propagation neural network(BPNN),long short-term memory(LSTM),and genetic algorithm-back propagation(GA-BP)methods are elucidated through a tutorial *** simulation results demonstrated that all five methods yielded accurate predictions with R2>***,the existing challenges in the implementation of machine learning models in MBRs were *** is notable that integration of deep learning,automated machine learning(AutoML)and explainable artificial intelligence(XAI)may facilitate the deployment of models in practical engineering *** insights presented here are expected to facilitate the establishment of an intelligent control framework for MBR processes in future endeavors.

关键词： Membrane bioreactor Machine learning Pollutant removal Membrane fouling Model prediction

来源：评论

学校读者我要写书评

暂无评论

Remarkable Enhancement of the Activity and Hydrothermal Stability of a CeO2-Based NH3-SCR Catalyst by Sn Modification

引用

Engineering 2025年第5期48卷 141-150页

作者： Zhu, Ying Liu, Jingjing He, Guangzhi Xie, Shaohua Shan, Wenpo Lian, Zhihua Liu, Fudong He, Hong Center for Excellence in Regional Atmospheric Environment & Key Laboratory of Urban Pollutant Conversion Institute of Urban Environment Chinese Academy of Sciences Xiamen361021 China Zhejiang Key Laboratory of Pollution Control for Port-Petrochemical Industry Ningbo Urban Environment Observation and Research Station Institute of Urban Environment Chinese Academy of Sciences Ningbo315800 China State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing100085 China University of Chinese Academy of Sciences Beijing100049 China Department of Civil Environmental and Construction Engineering Catalysis Cluster for Renewable Energy and Chemical Transformations NanoScience Technology Center University of Central Florida OrlandoFL32816 United States

Catalytic activity and hydrothermal stability are both crucial for the application of the selective catalytic reduction of NOx with NH3 (NH3-SCR) catalyst in diesel vehicles. In this study, a tin (Sn)-modified Ce–Nb mixed-oxide catalyst was synthesized as an NH3-SCR catalyst for NOx emission control. After the introduction of Sn, both the NH3-SCR activity and the hydrothermal stability of the catalyst were remarkably promoted. Even after hydrothermal aging at 1000 °C, the developed Ce1Sn2Nb1Ox catalyst achieved more than 90% NOx conversion at 325–500 °C. Various methods, including N2-physisorption, X-ray diffraction, in-situ high-temperature X-ray diffraction, high-resolution transmission electron microscopy, X-ray photoelectron spectroscopy, X-ray absorption fine-structure spectroscopy, temperature-programmed reduction of hydrogen, temperature-programmed desorption of ammonia, and density functional theory calculations were used to investigate the promotional effects induced by the Sn species. The characterization results showed that the addition of Sn not only promoted the formation of the Ce–Nb active phase but also improved its thermal stability, contributing to the excellent NH3-SCR performance and hydrothermal stability. This study provides an excellent sintering-resistance catalyst for the application of diesel engine NOx emission control. © 2025 THE AUTHORS

关键词： Temperature programmed desorption

来源：评论

学校读者我要写书评

暂无评论

Optimization of Regional Energy-Water Nexus System Under Multiple Uncertainties 15th

Optimization of Regional Energy-Water Nexus System Under Mul...

引用

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

作者： Liu, Ruoyan Li, Yongping Huang, Guohe Zhou, Yanxiao 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

In this paper, an interval chance-constrained programming (ICCP) method is proposed for collaborative energy-water nexus (EWN) system under multiple uncertainties. This method can solve the uncertainties expressed as probability distribution and interval. An ICCP-based energy-water nexus (ICCP-EWN) model is established, where 15 scenarios are designed for assessing the effect of water cycle coefficients and constraint violation risk. The results show that: (i) coal would remain the main energy sources for future energy supply, but the proportion of clean energy (e.g., natural gas, biomass) in the future power generation structure would significantly increase (about 15.6%);(ii) the water withdrawal of power generation in the energy system would be largest, where thermal power generation would have the largest proportion of water withdrawal, accounting for 85.0%;(iii) the decreasing α level and increasing p level will bring higher system benefits, and the reliability of the system would be reduced. These results can help determine the energy mix of a planned area, improve security of energy supply, and make trade-off between system benefits and the risk of violating constraints. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： chance-constrained programming energy-water nexus Kaikong river uncertainty

来源：评论

学校读者我要写书评

暂无评论

A comparative study on the formation of nitrogen-containing organic compounds in cloud droplets and aerosol particles

引用

Journal of environmental Sciences 2025年第3期149卷 456-464页

作者： Guohua Zhang TaoWang Qinhao Lin Kun Liu Wei Sun Duohong Chen Lei Li Xinming Wang Xinhui Bi State Key Laboratory of Organic Geochemistry and Guangdong Provincial Key Laboratory of Environmental Protection and Resources Utilization Guangzhou Institute of GeochemistryChinese Academy of Sciences(CAS)Guangzhou 510640China Guangdong-Hong Kong-Macao Joint Laboratory for Environmental Pollution and Control Guangzhou Institute of GeochemistryCASGuangzhou 510640China University of Chinese Academy of Sciences Beijing 100049China School of Environmental Science and Engineering Institute of Environmental Health and Pollution ControlGuangdong University of TechnologyGuangzhou 510006China State Environmental Protection Key Laboratory of Regional Air Quality Monitoring Guangdong Environmental Monitoring CenterGuangzhou 510308China Institute of Mass Spectrometer and Atmospheric Environment Jinan UniversityGuangzhou 510632China

Nitrogen-containing organic compounds(NOCs)may potentially contribute to aqueous secondary organic aerosols,yet the different formation of NOCs in aerosol particles and cloud droplets remains *** the in-situ measurements performed at a mountain site(1690 m a.s.l.)in southern China,we investigated the formation of NOCs in the cloud droplets and the cloud-free particles,based on their mixing state information of NOCscontaining particles by single particle mass *** relative abundance of NOCs in the cloud-free particles was significantly higher than those in cloud residual(cloud RES)*** were highly correlated with carbonyl compounds(including glyoxalate and methylglyoxal)in the cloud-free particles,however,limited correlation was observed for cloud RES *** of their mixing state and temporal variations highlights that NOCs was mainly formed from the carbonyl compounds and ammonium in the cloud-free particles,rather than in the cloud RES *** results support that the formation of NOCs from carbonyl compounds is facilitated in concentrated solutions in wet aerosols,rather than cloud *** addition,we have identified the transport of biomass burning particles that facilitate the formation of NOCs,and that the observed NOCs is most likely contributed to the light *** findings have implications for the evaluation of NOCs formation and their contribution to light absorption.

关键词： Nitrogen-containing organic compounds Individual particles Cloud Carbonyl compounds Mixing state

来源：评论

学校读者我要写书评

暂无评论

Embedded plastics and carbon emissions:future trends and challenges ahead

引用

Science Bulletin 2025年第7期70卷 997-1000页

作者： Shang Zhang Jinhui Li Guochang Xu Quanyin Tan State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China Material Cycles Division National Institute for Environmental StudiesTsukuba305-8506Japan

In the past five decades,global plastic production has increased at an average yearly growth rate of 8.4%,which is significantly higher than that of other basic materials such as cement,steel,and aluminum[1,2].Moreover,the amount of global plastic waste more than doubled between 2000 and 2019,reaching an annual production of 353 million tons(Mt)[3].It was further estimated that plastic accounted for approximately 12%of municipal waste in 2016 globally[4].

关键词： global production waste municipal waste plastics carbon emissions growth rate

来源：评论

学校读者我要写书评

暂无评论

Deciphering environmental factors influencing phytoplankton community structure in a polluted urban river

引用

Journal of environmental Sciences 2025年第2期148卷 375-386页

作者： Xiaxia Li Kai Chen Chao Wang Tianyu Zhuo Hongtao Li Yong Wu Xiaohui Lei Ming Li Bin Chen Beibei Chai School of Water Conservancy and Hydroelectric Power Hebei University of EngineeringHandan 056038China Collaborative Innovation Center for Intelligent Regulation and Comprehensive Management of Water Resources School of Water Conservancy and HydroelectricHebei University of EngineeringHandan 056038China Hebei Key Laboratory of Intelligent Water Conservancy Hebei University of EngineeringHandan 056038China Tianjin Water Group Binhai Water Co. Ltd.Tianjin 300308China State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin China Institute of Water Resources and Hydropower ResearchBeijing 100038China School of Architecture and Civil Engineering Xi’an University of Science and TechnologyXi’an 710054China Chengdu University of Technology Chengdu 610059China College of Natural Resources and Environment Northwest A&F UniversityYangling 712100China State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentBeijing Normal UniversityBeijing 100875China

Tuojiang River Basin is a first-class tributary of the upper reaches of the Yangtze River—which is the longest river in *** phytoplankton are sensitive indicators of trophic changes inwater bodies,characterizing phytoplankton communities and their growth influencing factors in polluted urban rivers can provide new ideas for pollution ***,we used direct microscopic count and environmental DNA(eDNA)metabarcoding methods to investigate phytoplankton community structure in Tuojiang River Basin(Chengdu,Sichuan Province,China).The association between phytoplankton community structure and water environmental factors was evaluated by Mantel *** environmental monitoring data were used to pinpoint major factors that influenced phytoplankton growth based on structural equation *** the phylum level,the dominant phytoplankton taxa identified by the conventional microscopic method mainly belonged to Bacillariophyta,Chlorophyta,and Cyanophyta,in contrast with Chlorophyta,Dinophyceae,and Bacillariophyta identified by eDNA ***α-diversity analysis,eDNA metabarcoding detected greater species diversity and achieved higher precision than the microscopic *** growth was largely limited by phosphorus based on the nitrogen-to-phosphorus ratios>16:1 in all water *** analysis and structural equation modeling also confirmed that the nitrogen-to-phosphorus ratio was the principal factor influencing phytoplankton *** results could be useful for implementing comprehensive management of the river basin *** is recommended to control the discharge of point-and surface-source pollutants and the concentration of dissolved oxygen in areas with excessive nutrients(e.g.,Jianyang-Ziyang).Algae monitoring techniques and removal strategies should be improved in 201 Hospital,Hongrihe Bridge and Colmar Town areas.

关键词： environmental DNA Microscopic count Phytoplankton growth Structural equation modeling Tuojiang River Basin

来源：评论

学校读者我要写书评

暂无评论

Seasonal changes of chemodiversity along with microbial succession in a municipal wastewater treatment plant

引用

Journal of environmental Sciences 2025年第4期150卷 318-331页

作者： Yunwei Cui Junya Zhang Luoyao Wen Jibao Liu Zhineng Hao Chunzhong Wei Yanbo Jiang Yuansong Wei Peihong Shen College of Life Science and Technology Guangxi UniversityNanning 530005China State Key Joint Laboratory of Environmental Simulation and Pollution Control Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China University of Chinese Academy of Sciences Beijing 100049China State Key Laboratory of Environmental Chemistry and Ecotoxicology Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China Guangxi Beitou Environmental Protection&Water Group Co. LTD.Nanning 530025China

The relationship between chemodiversity and microbial succession in wastewater treatment plants(WWTPs)is highly intricate and *** specific contribution of the microbial community to changes in the composition of dissolved organic matter(DOM)within different biological treatment units remains unclear,as does the reciprocal influence of DOM composition on microbial *** this study,spectroscopy((Excitationemission matrix)EEM-PARAFAC,Ultraviolet(UV)-spectrum,Fourier transform infrared spectrometer(FT-IR)),Liquid chromatograph mass spectrometer(LC–MS)and Fourier transform ion cyclotron resonance(FT-ICR)MS along with high-throughput sequencing technology were used to explore the relationship between chemodiversity and microbial succession in WWTPs concerning seasonal *** results showed that WWTPs with anaerobic/anoxic/oxic(A2O)processes can metabolize and transformmost of thewastewater DOM,and the anaerobic unit has the highest removal rate for fluorescence DOM(FDOM,14.07%-64.43%);the anaerobic unit increased aliphatic/proteins and lignin-like molecules but decreased relative intensity,while the anoxic unit removed unsaturated hydrocarbons,aromatic structures,and lignin-like *** impact of seasonal changes on the composition and removal of FDOM and DOM in wastewater treatment is significant,and the variations that occur during different seasons affect microbial activity,as well as the production,degradation,and transformation of organic compounds throughout thewastewater treatment *** analysis shows that Parcubacteria_genera_incertae_sedis plays a crucial role in DOM chemodiversity,highlighting the crucial contribution of microbial com-munities to both the structure and operation of the entire DOM *** results in this study could provide some theoretical and practical basis for guiding the process optimiza-tion of WWTPs.

关键词： Wastewater treatment plant Dissolved organic matter Fourier transform ion cyclotron resonance mass spectrometry Chemodiversity Microbial community

来源：评论

学校读者我要写书评

暂无评论

Cost-Effective Mapping of Hyperlocal Air pollution Using Large-Scale Mobile Monitoring and Land-Use Machine Learning

ACS ES&T Air

引用

ACS ES&T Air 2025年第2期2卷 151-161页

作者： Tie Zheng Yifan Wen Sheng Xiang Pan Yang Xuan Zheng Yan You Shaojun Zhang Ye Wu School of Environment State Key Joint Laboratory of Environment Simulation and Pollution Control Tsinghua University Beijing 100084 China State Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Beijing Normal University Beijing 100875 China State Key Laboratory of Pollution Control and Resource Reuse Tongji University Shanghai 200092 China；College of Environmental Science and Engineering Tongji University Shanghai 200092 China College of Chemistry and Environmental Engineering Shenzhen University Shenzhen 518060 China Macao Environmental Research Institute Macau University of Science and Technology Macau 999078 China；National Observation and Research Station of Coastal Ecological Environments in Macao Macao Environmental Research Institute Macau University of Science and Technology Macao 999078 China School of Environment State Key Joint Laboratory of Environment Simulation and Pollution Control Tsinghua University Beijing 100084 China；State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing 100084 China；Beijing Laboratory of Environmental Frontier Technologies Beijing 100084 China

The advent of large-scale mobile monitoring using fast-response instruments has enabled hyperlocal mapping (≤100 m) of traffic-related air pollution (TRAP), with important implications for air quality management. However, most related studies have been confined within small areas due to the high cost and labor intensity. This study pioneers a cost-effective TRAP mapping method by incorporating large-scale mobile monitoring and land-use machine learning (LUML). Here, over 4.6 million 1 Hz high-frequency measurements (∼1300 h) were collected on a part of major roadways in the Chinese megacity of Shenzhen. Unmeasured locations were estimated by LUML models to reduce measurement costs and labor intensity. Various ML algorithms and varying spatial aggregation segment lengths were incorporated to optimize the model performance. Hyperlocal maps of NO, NO2, and PM2.5were predicted across the entire road network covering over 1700 km2. Based on our results, LU-RF (random forest) for mapping NO and NO2and LU-GBM (Gradient Boosting Machine) for mapping PM2.5, demonstrated superior performance. Deep learning models, in contrast, did not yield comparable results. Finer partitioning of road segments (≤100 m) improved NO prediction performance, but worsened that for NO2and PM2.5. By deployment of optimal ML algorithms and segment lengths, the TRAP mapping accuracy increased by 20–80% compared to conventional land-use regression models. This study provides a promising and cost-effective approach to hyperlocal air pollution mapping and management in cities worldwide.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Ultrahigh alkali resistance and regeneration capacity of the birnessite deNOx catalysts: A recyclable extraction-insertion strategy

引用

Separation and Purification Technology 2025年 368卷

作者： Xuan, Yue Zhu, Xiao Wang, Bin Liang, Yanjie Gao, Chuan Li, Bing Wang, Dong Peng, Yue School of Energy and Power Engineering Shandong University Shandong Jinan250061 China State Key Joint Laboratory of Environment Simulation and Pollution Control National Engineering Laboratory for Multi Flue Gas Pollution Control Technology and Equipment School of Environment Tsinghua University Beijing100084 China

The selective catalytic reduction (SCR) of NOx with NH3 in biomass combustion flue gas confronts high-concentration alkali metal (K) poisoning. Herein, we propose a recyclable extraction-insertion strategy using acid-treated birnessite-based catalysts to achieve high alkali resistance. Compared to commercial MnO2 catalyst, which suffered severe deactivation after 1 wt% K+ poisoning, the OL-1(H) catalyst showed a surprising enhancement in SCR activity by 1 wt% K+ and only a modest 15.5 % decrease in NOx conversion at 225 °C with 7 wt% K+. Physicochemical characterizations and density functional theory calculations revealed that K+ deposition form K2O on the surface of commercial MnO2, disrupting Mn-O active sites. In contrast, K+ tended to migrate from the outer surface into the interlayer, spontaneously exchanging with H+ in the OL-1(H) catalyst. The inserted K+ coordinated with six O2–, attracting surrounding electron clouds and facilitating electron loss from Mn species with unsaturated outer coordination. This resulted in an enrichment of Mn5c4+-Lewis acid sites, enhancing NH3 adsorption and activation, thereby improving NOx removal via the Eley-Rideal (E-R) mechanism. Equally important, the extraction-insertion process between H+ and K+ further regenerated the K-poisoned catalyst efficiently, restoring the NOx conversion by 23.3 % at 150 °C. The recyclable extraction-insertion strategy provides a new paradigm for designing catalysts with ultrahigh alkali resistance and regeneration capacity, applicable across various environmental fields. © 2025

关键词： Nitrogen oxides

来源：评论

学校读者我要写书评

暂无评论

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

引用

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

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：