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Mitigation of hydrogen sulfide production in sewer systems by inhibiting sulfate-reducing bacteria:a review

Frontiers of Environmental Science & Engineering 2025年第3期19卷 209-227页

作者： Zheng Qi Tipei Jia Wenjie Cong Jinying Xi Environmental Simulation and Pollution Control State Key Joint Laboratory School of EnvironmentTsinghua UniversityBeijing 100084China

The emission of hydrogen sulfide(H_(2)S)in sewers leads to pipeline corrosion and odor ***-reducing bacteria(SRB)reduce sulfate as the main pathway for H_(2)S production in *** SRB activity through chemical or biological methods is an effective strategy to reduce H_(2)S ***,the objective of this review is to provide a comprehensive summary of research in the reduction of H_(2)S production in sewer systems via inhibition of the metabolic activity of *** study provides an understanding on the complex metabolism of SRB,which is crucial for mitigating H_(2)S generation in sewer *** review addresses H_(2)S production in sewer systems and its reduction methods by inhibiting SRB activity using both chemical and biological ***,the addition of chemicals to sewer systems to control H_(2)S has shown good ***,these methods face challenges such as the need for repeated dosing,short effective durations,bacterial resistance,and increased loads on downstream wastewater treatment *** agents are more environmentally friendly,but research on their application for controlling H_(2)S in sewer systems is limited,and their effectiveness and stability are yet to be *** review analyses the potential of chemical and biological methods,discusses current applications and future research directions based on SRB inhibition mechanisms,and provides insights for developing more efficient and ecofriendly strategies for H_(2)S control in sewer systems.

关键词： Chemical dosing Biological agent Hydrogen sulfide Sewer systems Sulfatereducing bacteria

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Feasibility study of a process for the reduction of sulfur oxides in flue gas of fluid catalytic cracking unit using the riser reactor

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Petroleum Science 2025年第2期22卷 909-924页

作者： Fa-Lu Dang Gang Wang Jing-Cun Lian Yu Yang Mei-Jia Liu State Key Laboratory of Heavy Oil Processing College of Chemical Engineering and Environment China University of Petroleum State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University

In this work,a new process for achieving the recovery of elemental sulfur by utilizing a fluidized catalytic cracking（FCC） riser reactor for SOxtreatment（FCC-DeSOx） is *** process leverages the high temperatures and hydrocarbon concentrations in the FCC riser reactor to convert SOxinto ***,H2S,along with the cracked gas,is processed downstream to produce *** analysis of the key reduction reactions in the FCC-DeSOxprocess revealed that complete conversion of SOxto H2S is feasible in the dry gas（hydrogen-rich） prelift zone,as well as the upper and lower zones of the riser,upon achieving thermodynamic *** studies were conducted to replicate the conditions of these reaction zones using a low concentration of hydrogen gas as the reducing *** process optimization,investigation of the minimum reaction time,and kinetic studies,the potential of this method for the complete reduction of SOxwas further confirmed.

关键词： Sulfur oxides New catalytic cracking process Thermodynamic analysis Kinetic analysis Sulfur recovery

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Carbon Energy 2025年第2期7卷 121-130页

作者： Tianyi Xu Dongxu Jiao Jinchang Fan Yilong Dong Zhaoyong Jin Lei Zhang Wei Zhang Jingxiang Zhao Weitao Zheng Xiaoqiang Cui State Key Laboratory of Automotive Simulation and Control Key Laboratory of Automobile MaterialsMinistry of EducationSchool of Materials Science and EngineeringJilin UniversityChangchunChina College of Chemistry Jilin UniversityChangchunChina Key Laboratory of Photonic and Electronic Bandgap Materials Ministry of EducationCollege of Chemistry and Chemical EngineeringHarbin Normal UniversityHarbinChina

Strain effects have garnered significant attention in catalytic applications due to their ability to modulate the electronic structure and surface adsorption properties of *** this study,we propose a novel approach called“similar stacking”for stress modulation,achieved through the loading of Co_(2)P on Ni_(2)P(Ni_(2)P/Co_(2)P).Theoretical simulations reveal that the compressive strain induced by Co_(2)P influences orbital overlap and electron transfer with hydrogen ***,the number of stacked layers can be adjusted by varying the precursor soaking time,which further modulates the strain range and hydrogen *** a 2-h soaking condition,the strain effect proves favorable for efficient hydrogen *** characterizations using X-ray diffraction,high-angel annular dark-field scanning transmission election microscope(HAADF-STEM),and X-ray absorption near-edge structure spectroscopy successfully demonstrate lattice contraction of Co_(2)P and bond length shortening of ***,our catalyst shows an ultrahigh current density of 1 A cm^(-2) at an overpotential of only 388 mV,surpassing that of commercial Pt/C,while maintaining long-term *** material design strategy of similar stacking opens up new avenues of strain modulation and the deeper development of electrocatalysts.

关键词： compressive strain heterogeneous phosphide hydrogen evolution reaction similar stacking

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Open-source dataset for traffic light and countdown display detection in urban environment

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Science China(Information Sciences) 2025年第5期68卷 407-408页

作者： Shuchun WAN Haitao DING Jianwei ZHANG Yunfeng HU Hong CHEN State Key Laboratory of Automotive Simulation and Control Jilin University Department of Control Science and Engineering Jilin University College of Electronic and Information Engineering Tongji University

Here we introduce an open-source dataset for traffic light and countdown display detection,which includes three subsets:a subset of traffic light data,a subset of traffic light and countdown display data,and a subset ...

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Design of energy-saving driving strategy based on proximal policy optimization considering urban transport information

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control Theory and Technology 2025年第1期23卷 74-90页

作者： Qifang Liu Dazhen Sun Haowen Chen Dongzi Li Ping Wang Department of Control Science and Engineering Jilin UniversityChangchun130022JilinChina State Key Laboratory of Automotive Simulation and Control Jilin UniversityChangchun130022JilinChina

Eco-driving has always been an ongoing *** urban driving conditions,traffic regulations,other vehicle behaviors,and special driving scenarios will have a major impact on the energy consumption of autonomous *** a representative algorithm of artificial intelligence,reinforcement learning has the ability to perform well under complex *** paper uses deep reinforcement learning algorithms to design the economical driving strategies of autonomous vehicles in three driving scenarios:driving at signalized intersection under free traffic flow,car-following on ramps,and driving at signalized intersection considering queue *** the above three driving scenarios,the driving strategy proposed in this paper achieves economical driving performance while satisfying the driving scenario requirements.

关键词： Eco-driving strategy Reinforcement learning Signalized intersection Car-following

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Differential effects of microplastics on soil organic carbon via lignin phenols and amino sugars in soil aggregates

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Frontiers of Environmental Science and Engineering 2025年第7期19卷 1-14页

作者： Yu, Hong Huang, Xiang Yang, Ke Xi, Beidou Tan, Wenbing State Key Laboratory of Environmental Criteria and Risk Assessment and State Environmental Protection Key Laboratory of Simulation and Control of Groundwater Pollution Chinese Research Academy of Environmental Sciences Beijing100012 China

Accumulation of plant- and microbial-derived carbon together determines the stability of soil organic carbon (SOC) pools. To explore the accumulation characteristics and comparative contributions of organic carbon from diverse origins within soil aggregates exposed to microplastic pollution, we conducted corn pot experiments using biodegradable (polylactic acid;PLA) and conventional microplastics (polyethylene;PE) to examine the effects of microplastic pollution on microbial and plant derived carbon in macroaggregates (0.25–2 mm) and microaggregates ( © Higher Education Press 2025.

关键词： Microplastic pollution Soil organic carbon Soil aggregate Plant lignin Microbial necromass

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Research on Quantitative Safety Risk Assessment Methods at Vehicle controllability Level

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IEEE Access 2025年 13卷 82527-82539页

作者： He, Lei Li, Zichong Yang, Xuezhu Zhou, Yuanle Qu, Zikun Ren, Zhiqiang Jilin University State Key Laboratory of Automotive Simulation and Control Jilin Changchun130025 China China First Automobile Works Group Corporation Ltd. Jilin Changchun130000 China

In recent years, advancements in electrification, intelligent connectivity, and autonomous driving have made functional safety, particularly the vehicle-level controllability, a critical research focus. Although the ISO 26262 standard provides a systematic framework for automotive functional safety, challenges remain in accurately defining and quantifying controllability levels. In this paper, we analyze the influence of potential faults—such as unintended torque and loss of regenerative braking force—on vehicle controllability under various operating conditions. A database of vehicle attitude data and corresponding controllability levels is established through real-vehicle tests. Feature screening is then performed to identify the most relevant attributes that significantly affect controllability. Based on this database, a controllability model is developed using the Support Vector Machine (SVM) method, which can effectively predict controllability levels. The model is applied in multiple simulation scenarios to assess vehicle controllability under different conditions. Additionally, the safety boundaries of motor torque are determined at varying speeds, providing insights into critical thresholds beyond which the vehicle’s controllability may be compromised. This work presents a novel approach for the quantitative analysis of vehicle controllability and safety risks, offering a reliable tool for evaluating functional safety in modern vehicles. © 2013 IEEE.

关键词： ISO Standards

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Micro-structure evolution, precipitation behavior and strengthening mechanism of Ni-Cr-Mo system steel fabricated via laser powder bed fusion and subsequent quenching control

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Chinese Journal of Aeronautics 2025年第3期38卷 560-592页

作者： Qing WANG Deyin KONG Shihui ZHOU Xingran LI Zhihui ZHANG The Key Laboratory of Bionic Engineering(Ministry of Education) Jilin UniversityChangchun 130025China Weihai Institute for Bionic Jilin UniversityWeihai 264402China State Key Laboratory of Automotive Simulation and Control Jilin UniversityChangchun 130025China

High-performance 24CrNiMo steel was fabricated using Laser Powder Bed Fusion (LPBF). Subsequent quenching treatment was applied and the influence of quenching temperatures on micro-structure evolution and properties was systematically characterised and analysed. The micro-structure of the as-built steel consisted of two parts. The first part comprised martensite with twins combined with ω-Fe nano-particles, and the second part consisted of lower bainite in the molten pool, as well as upper bainite, granular bainite and tempered martensite in the heat-affected zone. With the quenching temperatures varying from 800℃ to 950℃, the micro-structure gradually transformed from acicular ferrite + martensite to tempered martensite +θ-Fe3C carbides, and the grain size exhibited noticeable growth. Moreover, quenching treatments could eliminate the anisotropy and inhomogeneity of the micro-structure. The rod-shaped nanosized η-Fe2C and θ-Fe3C precipitates were clearly observed, which were converted from ω-Fe and distributed at multiple angles in the lath. The size and number of nano-precipitates, triggered by the high self-tempering degree of martensite, gradually increased. The relationships among grain size, the twins, dislocation density and nano-precipitation and the dramatically improved performance of quenched samples were analysed using strengthening mechanisms. After quenching at 850℃, the as-built 24CrNiMo steel attained ultra-high mechanical properties including hardness, Ultimate Tensile Strength (UTS), Elongation (El) and impact energy with values of 480.9 HV_(1), 1611.4 MPa, 9.8% and 42.8 J, respectively. Meanwhile, both the wear and thermal fatigue resistance increased by approximately 40%. This study demonstrated that LPBF-fabricated 24CrNiMo steel, with matching good performances, can be achieved using a subsequent one-step quenching process.

关键词： Laser powder bed fusion 24CrNIMo steel Quenching control Micro-structure evolution Precipitate Comprehensive properties Strengthening mechanisms

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Experimental Study on the Effects of Ammonia Energy Substitution Rate on Combustion and Emission Performance in a Hydrogen Engine

Experimental Study on the Effects of Ammonia Energy Substitu...

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2024 Vehicle Powertrain Diversification Technology Forum, VPD 2024

作者： Wu, Weilong Xie, Fangxi Chen, Hong Du, Jiakun Li, Yong Guangzhou Automobile Group Co Ltd China State Key Laboratory of Automotive Simulation and Control China GAC Automotive Research & Development Center China

To advance the application of zero-carbon ammonia fuel, this paper presents an experimental investigation on the potential of ammonia substitution using a 2.0L ammonia-hydrogen engine, where ammonia is injected into the intake port and hydrogen is directly injected into the cylinder. The study examines the effects of ammonia substitution rate under various load conditions on engine combustion and emission performance. Results indicate that the maximum ammonia energy substitution rate reached 98%, and within the stable combustion boundary, the mass fraction of unburned ammonia was less than 3%. The ammonia energy substitution ratio increased with load, and ammonia addition significantly suppressed pre-ignition and knocking. As ammonia content increased, ignition timing advanced, combustion duration extended, ignition delay prolonged, COV increased, peak cylinder pressure, and pressure rise rate decreased, with a corresponding decrease in peak heat release rate. Compared to a pure hydrogen engine, the ammonia-hydrogen dual-fuel engine significantly improved brake thermal efficiency (BTE), which continued to rise with increasing ammonia energy substitution rate. At BMEP = 0.8 MPa, BTE reached a maximum of 41.1%. With increased ammonia addition, unburned NH3 emissions in the exhaust gradually increased, while NOx emissions decreased overall, but N2O emissions showed an increasing trend. © 2025 SAE International.

关键词： Hydrogen engines

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Machine learning driven rational design of dual atom catalysts on graphene for carbon dioxide electroreduction

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Nano Research 2025年第1期18卷 186-194页

作者： Dongxu Jiao Xinyi Li Mingzi Sun Lin Liu Jinchang Fan Jingxiang Zhao Bolong Huang Xiaoqiang Cui State Key Laboratory of Automotive Simulation and Control School of Materials Science and Engineeringand Key Laboratory of Automobile Materials of MOEJilin UniversityChangchun 130012China Department of Applied Biology and Chemical Technology The Hong Kong Polytechnic UniversityHung HomKowloonHong KongChina College of Chemistry and Chemical Engineering and Key Laboratory of Photonic and Electronic Bandgap MaterialsMinistry of EducationHarbin Normal UniversityHarbin 150025China

The development of high-performance atomiccatalysts for the carbon dioxide reduction reaction(CO_(2)RR)is atime-consuming process due to the complexity of the reactionmechanism and the uncertainty of the active ***,wehave proposed combining density functional theory(DFT)andmachine learning(ML)to investigate the potential of topologicalgraphene-based dual-atom catalysts(DACs)as CO_(2)*** analyzing the ML results,we identify thenumber of d-orbital electrons in the active site as a key factorinfluencing the CO_(2)RR catalytic ***,wepropose a simple descriptor to measure the CO_(2)RR activity ofthese *** findings provide plausible explanations for thesynergistic interactions between bimetallic atoms in CO_(2)RR andallow us to screen the homogeneous Ni-Ni pair as the mostpromising dual-atom *** work offers a fast MLapproach based on limited DFT calculations to predict the mostelectroactive and stable DACs on carbon support for CO_(2)RR,facilitating rapid screening of high-performance dual-atomcatalysts.

关键词： CO_(2)reaction reduction dual-atom catalysts density functional theory machine learning

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