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A bacteria-based index of biotic integrity indicates aquatic ecosystem restoration

Environmental Science and Ecotechnology 2024年第6期22卷 178-190页

作者： Qi Liu Senlu Yin Yujun Yi School of Environment Beijing Normal UniversityBeijing 100875China State Key Laboratory of Water Environment Simulation and Pollution Control Beijing Normal UniversityBeijing 100875China

Intensive ecological interventions have been carried out in highly polluted shallow lakes to improve their environments and restore their ***,certain treatments,such as dredging polluted sediment and stocking fish,can impact the aquatic communities,including benthos and *** impacts can alter the composition and characteristics of aquatic communities,which makes community-based ecological assessments *** we develop a bacteria-based index of biotic integrity(IBI)that can clearly indicate the restoration of aquatic ecosystems with minimal artificial *** applied this method to a restored shallow lake during 3-year intensive ecological *** interventions reduced nutrients and heavy metals by 27.1%and 16.7%in the sediment,while the total organic carbon(TOC)increased by 8.0%due to the proliferation of ***,the abundance of sulfur-related metabolic pathways decreased by 10.5%as the responses to improved *** score of bacteria-based IBI,which is calculated based on the diversity,composition,and function of benthic bacterial communities,increased from 0.62 in 2018 to 0.81 in *** study not only provides an applicable method for aquatic ecological assessment under intensive artificial interventions but also extends the application of IBI to complex application scenarios,such as ecosystems with significantly different aquatic communities and comparisons between different basins.

关键词： Baiyangdian lake 16S rRNA Benthic bacterial community Ecological restoration Aquatic ecological assessment

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Thermodynamic-based ecological scaling theory in urban metabolic framework:a review

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Frontiers of Environmental Science & Engineering 2025年第1期19卷 69-85页

作者： Gengyuan Liu Mingwan Wu State Key Joint Laboratory of Environmental Simulation and Pollution Control School of EnvironmentBeijing Normal UniversityBeijing 100875China Beijing Engineering Research Center for Watershed Environmental Restoration&Integrated Ecological Regulation Beijing 100875China

Prior research has consistently demonstrated that urban economic and social systems adhere to the empirical scaling ***,a plethora of evidence,including the scale-free networks of energy metabolism,the allometric growth patterns of species and populations,and the scaling law relationship between exergy and transformity in biosphere systems across various levels,indicates that urban ecosystems exhibit multi-level scaling law characteristics in energy metabolism under self-organization,alongside significant human activity *** study synthesizes these findings to hypothesize that urban ecological components are also aligned with system-level scaling theory within the urban metabolism *** encompasses:1)the existence of multistable coexistence and mutual transformation phenomena,mirroring the dynamic nature of scaling laws;and 2)a nuanced balance between the ecosystem and the socio-economic system,particularly in the realms of spatial competition and output *** ecosystem scaling theory hypotheses of urban metabolic processes offer a theoretical foundation for identifying ecological security tipping points,which are pivotal in the strategic decision-making for ecological planning and management in the future.

关键词： Ecosystem scaling theory Urban metabolism Complexity Critical review

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Estimating NOx Sensor Ammonia Cross-Sensitivity Factor Using a Data-Driven Approach in SCR Systems 7

Estimating NOx Sensor Ammonia Cross-Sensitivity Factor Using...

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7th CAA International Conference on Vehicular control and Intelligence, CVCI 2023

作者： Wang, Ning Gong, Xun Hu, Yunfeng Sun, Yao State Key Laboratory of Automotive Simulation and Control College of Artificial Intelligence Jilin University Changchun China State Key Laboratory of Automotive Simulation and Control College of Telecommunications Engineering Jilin University Changchun China State Key Laboratory of Automotive Simulation and Control College of Automotive Engineering Jilin University Changchun China

ISBN: (纸本)9798350340488

Selective Catalytic Reduction (SCR) is a module used in the aftertreatment system to mitigate the nitrogen oxides (NOx) emissions, and it can be affected by cross-sensitivity, resulting in a decrease in control performance and even controller failure. A commonly adopted approach is estimating the cross-sensitivity factor to correct the downstream NOx concentration, but the current estimation strategies often incur relatively high costs. In this paper, we propose a novel and more cost-effective method based on data-driven for estimating the cross-sensitivity factor. Specifically, we design a network architecture based on Long Short-Term Memory (LSTM) and attention mechanism. LSTM is utilized to capture the non-linear relationship between input features, historical information, and the cross-sensitivity factor. The introduced attention mechanism allows the model to focus more on important information, thereby further improving the estimation accuracy. This method eliminates the need for complex mechanism modeling and parameter calibration, and reduces the computational burden during online operation, resulting in significant time and computational resource *** simulation experiments conducted transient bench data validate the excellent performance of the designed cross-sensitivity factor estimator, as evidenced by comparative analysis with three alternative methods, and demonstrate the rationality of feature selection through the feature ablation analysis. © 2023 IEEE.

关键词： aftertreatment attention cross-sensitivity factor Long Short-Term Memory

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Lane change trajectory planning method for intelligent vehicles considering surrounding risk 7

Lane change trajectory planning method for intelligent vehic...

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7th CAA International Conference on Vehicular control and Intelligence, CVCI 2023

作者： Liu, Ke Wang, Honglin Fu, Yao Liu, Haoran The State Key Laboratory of Automotive Simulation and Control Jilin University Changchun China

ISBN: (纸本)9798350340488

Intelligent vehicle trajectory planning is a multi-objective coupling optimization problem with multiple constraints. Rapid generation of collision-free smooth trajectories that meet kinematic and dynamic constraints can improve the safety and comfort of intelligent vehicle lane-changing process. In order to improve the efficiency of trajectory planning, this paper uses the path and speed decoupling method to generate a feasible lane-changing trajectory set. First, the B-spline curve is used to generate a feasible lane-changing path, and then the speed planning is completed based on Dynamic programming (DP) and Quadratic programming (QP). Considering safety, comfort and efficiency, a comprehensive cost function is established, and the trajectory with the smallest cost function is selected as the output target. The safety cost function is based on the theory of driving risk field, and the safety potential energy index is used to evaluate the safety of the trajectory, which can quantify the risk level of the surrounding traffic factors on the whole process of lane-changing. The simulation results show that the proposed method can quickly plan a reasonable trajectory in the lane-changing scene, and can effectively avoid collision with dynamic obstacles while maintaining safety and efficiency. © 2023 IEEE.

关键词： comprehensive cost function intelligent vehicle surrounding risk trajectory planning

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BPNN Based Energy Management Strategy for Pure Electric Vehicles 7

BPNN Based Energy Management Strategy for Pure Electric Vehi...

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7th CAA International Conference on Vehicular control and Intelligence, CVCI 2023

作者： Zhang, Shilong Wang, Fei Lu, Henghui Yang, Shen State Key Laboratory of Automotive Simulation and Control Jilin University Changchun China

ISBN: (纸本)9798350340488

In order to enhance the real-time performance of model predictive control (MPC) based energy management strategy (EMS), this paper proposes a real-time automotive energy management strategy based on backpropagation neural network (BPNN) approximation of MPC controller. Firstly, establish a pure electric vehicle (PEV) simulation model, then design a BP neural network, and the joint simulation model is established to predict the speed, the energy management is finally realized by combining the energy consumption evaluation model. Compared with the EMS based on MPC controller, the energy-saving control effect is marginally diminished, and the real-time performance of vehicle speed track prediction is greatly improved. The proposed EMS can optimize the driver's speed trajectory and control vehicle movement in real-time, resulting in better comprehensive energy-saving control effects compared to traditional MPC. © 2023 IEEE.

关键词： Backpropagation neural network Electric vehicles Energy management strategy Model predictive control Velocity prediction

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Hybrid Adaptive Event‑Triggered Platoon control with Package Dropout

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Automotive Innovation 2022年第4期5卷 347-358页

作者： Jiawei Wang Fangwu Ma Liang Wu Guanpu Wu The State Key Laboratory of Automotive Simulation and Control Jilin University5988 Renmin StreetChangchun 130022China

A novel hybrid adaptive event-triggered platoon control strategy is proposed to achieve the balanced coordination between communication resource utilization and vehicle-following performance considering the effect of package *** deal with the disturbance caused by the event-triggered scheme,the parameter space approach is adopted to derive the feasible region from which cooperative adaptive cruise control controller satisfies internal stability,distance accuracy,and string ***,the Bernoulli random distribution process is employed to depict the phenomenon of package drop-out,and the hybrid coefficient is proposed to realize the allocation between the adaptive trigger threshold strategy and the adaptive headway *** simulation of a six-vehicle platoon is carried out to verify the effectiveness of the designed control *** show that about 78.76%of communication resources have been saved by applying the event-triggered scheme,while guaranteeing the desired vehicle-following *** in the non-ideal communication environment with frequent package dropouts,the hybrid adaptive strategy achieves the coordination among communication resource utilization,string stability margin,distance accuracy,and traffic efficiency.

关键词： Cooperative adaptive cruise control Event-triggered scheme Hybrid adaptive strategy Package dropout Parameter space approach

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Demulsification with simultaneous water purification by coupling filtration and enhanced oil droplet coalescence at anode interface in an electrochemical reactor

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Journal of Environmental Sciences 2024年第12期146卷 118-126页

作者： Xi Li Gong Zhang Chengzhi Hu Huachun Lan Huijuan Liu State Key Laboratory of Environmental Aquatic Chemistry Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China Center for Water and Ecology State Key Joint Laboratory of Environment Simulation and Pollution ControlSchool of EnvironmentTsinghua UniversityBeijing 100084China University of Chinese Academy of Sciences Beijing 100049China

With the increasing demand of recycling disposal of industrial wastewater,oil-in-water(O/W)emulsion has been paid much attention in recent years owing to its high oil ***,due to the presence of surfactant and salt,the emulsion was usually stable with complex physicochemical interfacial properties leading to increased processing ***,a novel flow-through electrode-based demulsification reactor(FEDR)was well designed for the treatment of saline O/W *** contrast to 53.7%for electrical demul-sification only and 80.3%for filtration only,the COD removal efficiency increased to 92.8%under FEDR ***,the pore size of electrode and the applied voltage were two key factors that governed the FEDR demulsification *** observing the mor-phology of oil droplets deposited layer after different operation conditions and the behavior of oil droplets at the electrode surface under different voltage conditions,the mechanism was proposed that the oil droplets first accumulated on the surface of flow-through elec-trode by sieving effect,subsequently the gathered oil droplets could further coalesce with the promoting effect of the anode,leading to a high-performing *** study offers an attractive option of using flow-through electrode to accomplish the oil recovery with simultaneous water purification.

关键词： Flow-through electrode Enhanced oil droplet coalescence Demulsification Oil/water emulsion separation

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Ultrasonication as anaerobic digestion pretreatment to improve sewage sludge methane production:Performance and microbial characterization

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Journal of Environmental Sciences 2024年第12期146卷 15-27页

作者： Kai Zhao Ge Song Chaojie Lu Jiaqi Wang Ruiping Liu Chengzhi Hu State Key Laboratory of Environmental Aquatic Chemistry Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China University of Chinese Academy of Sciences Beijing 100049China Center for Water and Ecology State Key Joint Laboratory of Environment Simulation and Pollution ControlSchool of EnvironmentTsinghua UniversityBeijing 100084China

A large amount of sludge is inevitably produced during sewage ***(US)as anaerobic digestion(AD)pretreatment was implemented on different sludges and its effects on batch and semi-continuous AD performance were *** was ef-fective in sludge SCOD increase,size decrease,and CH_(4)production in the subsequent AD,and these effects were enhanced with an elevated specific energy *** indicated by semi-continuous AD experiments,the mean daily CH_(4)production of US-pretreated A^(2)O-,A^(2)O-MBR-,and AO-AO-sludgewere 176.9,119.8,and 141.7 NmL/g-VSadded,whichwere 35.1%,32.1%and 78.2%higher than methane production of their respective raw *** US of A^(2)O-sludge achieved preferable US effects and CH_(4)production due to its high organic con-tent andweak sludge structure *** response to US-pretreated sludge,amore diverse microbial community was observed in *** US-AD system showed negative net energy;however,it exhibited other positive effects,e.g.,lower required sludge retention time and less residual total solids for *** is a feasible option prior to AD to improve anaer-obic bioconversion and CH_(4)yield although further studies are necessary to advance it in practice.

关键词： Ultrasonication Waste activated sludge Anaerobic digestion CH_(4)production Microbial community

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Rational adjustment to interfacial interaction with carbonized polymer dots enabling efficient large-area perovskite light-emitting diodes

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Light(Science & Applications) 2023年第6期12卷 1029-1039页

作者： Fan Yang Qingsen Zeng Wei Dong Chunyuan Kang Zexing Qu Yue Zhao Haotong Wei Weitao Zheng Xiaoyu Zhang Bai Yang State Key Laboratory of Supramolecular Structure and Materials College of ChemistryJilin UniversityChangchun 130012China Department of Materials Science Key Laboratory of Mobile Materials MOEState Key Laboratory of Automotive Simulation and ControlJilin UniversityChangchun 130012China Institute of Theoretical Chemistry and Laboratory of Theoretical&Computational Chemistry Jilin UniversityChangchun 130023China

Film uniformity of solution-processed layers is the cornerstone of large-area perovskite light-emitting diodes,which is often determined by the‘coffee-ring effect’.Here we demonstrate a second factor that cannot be ignored is the solid-liquid interface interaction between substrate and precursor and can be optimized to eliminate rings.A perovskite film with rings can be formed when cations dominate the solid-liquid interface interaction;whereas smooth and homogeneous perovskite emitting layers are generated when anions and anion groups dominate the *** is due to the fact that the type of ions anchored to the substrate can determine how the subsequent film *** interfacial interaction is adjusted using carbonized polymer dots,who also orient the perovskite crystals and passivate their buried traps,enabling a 225 mm^(2) large-area perovskite light-emitting diode with a high efficiency of 20.2%.

关键词： interaction perovskite interaction

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Construction of Multi-Scale Aging Indicators Based on the Aging Mechanism of Fuel Cells

Construction of Multi-Scale Aging Indicators Based on the Ag...

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2024 Vehicle Powertrain Diversification Technology Forum, VPD 2024

作者： Lin, Yipeng Min, Haitao Sheng, Xia Zhang, Zhaopu Sun, Weiyi Jilin University State Key Laboratory of Automotive Simulat China China FAW Corporation Limited General Research and Developm China State Key Laboratory of Automotive Simulation and Control China

state of health (SOH) estimation is essential to ensure safety and reliability in the operation of Proton Exchange Membrane Fuel Cells (PEMFCs). The aging of fuel cells results from the deterioration of multiple internal components, and the aging degree of some key components even directly determines the end of cell life. Due to the complexity of the internal reactions in fuel cell, many internal parameters cannot be measured or recorded during aging tests. In addition, external characteristics do not reflect the internal changes in the cell. Therefore, establishing a multi-scale metric based on fuel cell components is very important for fuel cell life research. During the aging process of a fuel cell, the contributions of different components to the overall aging vary significantly. Additionally, the allocation of indicator parameters presents a challenge in multi-scale modeling. To address these issues, this paper proposes a method to construct multi-scale indicators for fuel cells. Firstly, based on the operational mechanisms of fuel cells, a 3-D Computational Fluid Dynamics (CFD) model of the fuel cell is developed using COMSOL Multiphysics 6.2 to simulate the working environment of the fuel cell. In addition, based on existing research, the aging mechanisms of various fuel cell components are analyzed, and aging models are established. The aging of selected components is then simulated in MATLAB R2023a based on the component aging mechanism model. Moreover, a co-simulation platform based on COMSOL and MATLAB is established to facilitate parameter interaction and iteration between the two models, thereby obtaining the aging data of the cell. Finally, the data is analyzed to select parameters and allocate coefficients for the multi-scale aging indicators. The multi-scale aging indicator can provide an effective approach to characterizing the aging state of fuel cells. © 2025 SAE International.

关键词： MATLAB

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