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过一硫酸盐体系中铜分布模式控制活性物种的产生和污染物降解路径

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Engineering 2024年第4期35卷 168-179页

作者： Ning Li Haoxi Dai Mengting He Jun Wang Zhanjun cheng Beibei Yan Wenchao Peng guanyi chen School of Environmental Science and Engineering&Tianjin Engineering Research Center of Bio Gas/Oil Technology Tianjin UniversityTianjin 300072China Department of Chemical Engineering Tianjin UniversityTianjin 300350China School of Mechanical Engineering Tianjin University of CommerceTianjin 300134China School of Science Tibet UniversityLhasa 850012China

The distribution pattern of metals as active centers on a substrate can influence the peroxymonosulfate(PMS)activation and contaminants degradation.Herein,atomic layer deposition is applied to prepare Cu single atom(SA-Cu),cluster(C-Cu),and film(F-Cu)decorated MXene catalysts by regulating the number of deposition cycles.In comparison with SA-Cu-MXene(adsorption energy(E_(ads))=-4.236 eV)and F-Cu-MXene(E_(ads)=-3.548 eV),PMS is shown to adsorb preferably on the C-Cu-MXene surface for activation(E_(ads)=-5.435 eV),realizing higher utilization efficiency.More SO_(4)^(·-)are generated in C-Cu-MXene/PMS system with steady-state concentration and 1–3 orders of magnitude higher than those in the SA-Cu-MXene and F-Cu-MXene activated PMS systems.Particularly,the contribution of SO_(4)^(·-)oxidation to sulfamethoxazole(SMX)degradation followed the order,C-Cu-MXene(97.3%)>SA-Cu-MXene(90.4%)>FCu-MXene(71.9%),realizing the larger SMX degradation rate in the C-Cu-MXene/PMS system with the degradation rate constants(k)at 0.0485 min^(-1).Additionally,SMX degradation routes in C-Cu-MXene/PMS system are found with fewer toxic intermediates.Through this work,we highlighted the importance of guided design of heterogeneous catalysts in the PMS system.Appropriate metal distribution patterns need to be selected according to the actual water treatment demand.Metal sites could be then fully utilized to produce specific active species to improve the utilization efficiency of the oxidants.

关键词： Cu cluster Distribution pattern Peroxymonosulfate Active species Degradation routes

可生物降解塑料取代传统塑料--对碳排放的影响

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Engineering 2024年第1期32卷 152-162页

作者： guanyi chen Jianyuan Li Yunan Sun Zhi Wang Gary ALeeke Christian Moretti Zhanjun cheng Yuan Wang Ning Li Lan Mu Jinyu Li Junyu Tao Beibei Yan Li'an Hou Interdisciplinary Innovation Lab for Environment and Energy School of Mechanical Engineering&School of Biotechnology and Food ScienceTianjin University of CommerceTianjin 300134China School of Environmental Science and Engineering Tianjin UniversityTianjin 300350China School of Ecology and Environment Tibet UniversityLhasa 850012China Tianjin Key Laboratory of Biomass Wastes UtilizationTianjin Engineering Research Center for Organic Wastes Safe Disposal and Energy UtilizationTianjin 300072China School of Chemical Engineering University of BirminghamBirmingham B152TTUK Department of Environmental Systems Science ETH ZürichZürich CH-8092Switzerland

In recent years,a great deal of attention has been focused on the environmental impact of plastics,includ-ing the carbon emissions related to plastics,which has promoted the application of biodegradable plas-tics.Countries worldwide have shown high interest in replacing traditional plastics with biodegradable plastics.However,no systematic comparison has been conducted on the carbon emissions of biodegrad-able versus traditional plastic products.This study evaluates the carbon emissions of traditional and biodegradable plastic products(BPPs)over four stages and briefly discusses environmental and economic perspectives.Four scenarios-namely,the traditional method,chemical recycling,industrial composting,and anaerobic digestion-are considered for the disposal of waste BPPs(WBPPs).The analysis takes China as a case study.The results show that the carbon emissions of 1000traditional plastic products(plastic bags,lunch boxes,cups,etc.)were52.09-150.36 carbon emissions equivalent of per kilogram(kg CO_(2)eq),with the stage of plastic production contributing 50.71%-50.77%.In comparison,1000 similar BPPs topped out at 21.06-56.86 kg CO_(2)eq,approximately 13.53%-62.19%lower than traditional plastic prod-ucts.The difference was mainly at the stages of plastic production and waste disposal,and the BPPs showed significant carbon reduction potential at the raw material acquisition stage.Waste disposal plays an important role in environmental impact,and composting and anaerobic digestion are considered to be preferable disposal methods for WBPPs.However,the high cost of biodegradable plastics is a challenge for their widespread use.This study has important reference significance for the sustainable development of the biodegradableplastics industry.

关键词： Carbon emissions Biodegradable plastics Different disposal scenarios Daily life consumption Environmental and economic discussion

State-of-the-art applications of machine learning in the life cycle of solid waste management

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Frontiers of Environmental Science & Engineering 2023年第4期17卷 53-69页

作者： Rui Liang Chao chen Akash Kumar Junyu Tao Yan Kang Dong Han Xianjia Jiang Pei Tang Beibei Yan guanyi chen School of Environmental Science and Engineering Tianjin UniversityTianjin 300350China School of Mechanical Engineering Tianjin University of CommerceTianjin 300134China Tianjin Key Laboratory of Biomass Wastes Utilization/Tianjin Engineering Research Center of Bio Gas/Oil Technology Tianjin 300072China School of Science Tibet UniversityLhasa 850012China

Due to the superiority of machine learning(ML)data processing,it is widely used in research of solid waste(SW).This study analyzed the research and developmental progress of the applications of ML in the life cycle of SW.Statistical analyses were undertaken on the literature published between 1985 and 2021 in the Science Citation Index Expanded and Social Sciences Citation Index to provide an overview of the progress.Based on the articles considered,a rapid upward trend from 1985 to 2021 was found and international cooperatives were found to have strengthened.The three topics of ML,namely,SW categories,ML algorithms,and specific applications,as applied to the life cycle of SW were discussed.ML has been applied during the entire SW process,thereby affecting its life cycle.ML was used to predict the generation and characteristics of SW,optimize its collection and transportation,and model the processing of its energy utilization.Finally,the current challenges of applying ML to SW and future perspectives were discussed.The goal is to achieve high economic and environmental benefits and carbon reduction during the life cycle of SW.ML plays an important role in the modernization and intellectualization of SW management.It is hoped that this work would be helpful to provide a constructive overview towards the state-of-the-art development of SW disposal.

关键词： Machine learning(ML) Solid waste(SW) Bibliometrics SW management Energy utilization Life cycle

New insight into the synergy of nitrogen-related sites on biochar surface for sulfamethoxazole adsorption from water

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中国化学快报:英文版 2023年第9期34卷 254-257页

作者： Chuanbin Wang Lingchao Kong Yanshan Wang Xiaoqiang Cui Ning Li Beibei Yan guanyi chen School of Environmental Science and Engineering/Tianjin Engineering Research Center of Bio Gas/Oil Technology Tianjin UniversityTianjin 300072China School of Environmental Science&Engineering Southern University of Science and TechnologyShenzhen 518055China Georgia Tech Shenzhen Institute Tianjin UniversityShenzhen 518071China School of Mechanical Engineering Tianjin University of CommerceTianjin 300134China School of Science Tibet UniversityLhasa 850012China

In-depth exploration of the relationship among different adsorption sites is conducive to design of efficient adsorbents for target pollutants removal from water.In this study,the experiments,multivariate non-linear regression and density functional theory calculations are applied to explore the possible synergistic effects of three nitrogen(N)-containing sites on cow dung biochar surface for sulfamethoxazole(SMX)adsorption.Notably,a strong synergistic effect between pyridinic N and pyrrolic N sites was found for sulfamethoxazole adsorption.The adsorption energies of SMX on four pyrrolic N-coupled pyridinic N structures were-1.02,-0.41,-0.49 and-0.72 e V,much higher than the sum of adsorption energies(-0.31 e V)on pyrrolic N and pyridinic N.Besides,the alteration of Mulliken charge revealed that the simultaneous presence of pyridinic N and pyrrolic N improved the electron transfer remarkably from-0.459 e and 0.094 e to-0.649 e and 0.186 e,benefiting for SMX adsorption.This work firstly explored the possible synergies of adsorption sites on biochar surface for organic contaminants removal from water,which shed new lights on the adsorption mechanism and provided valuable information to design efficient adsorbents in the field of water treatment.

关键词： Synergy Pyrrolic N Pyridinic N Biochar Adsorption

Efficient production of ethyl levulinate from cassava over Al2(SO4)3 catalyst in ethanol–water system

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Journal of Energy Chemistry 2017年第1期26卷 115-120页

作者： Jin Tan Qiying Liu Lungang chen Tiejun Wang Longlong Ma guanyi chen School of Environmental Science and Engineering Tianjin UniversityTianjin 300072China Key Laboratory of Renewable Energy Guangzhou Institute of Energy ConversionChinese Academy of SciencesGuangzhou 510640GuangdongChina Guangdong Key Laboratory of New and Renewable Energy Research and Development Guangzhou 510640GuangdongChina

One-pot achievement of ethyl levulinate from cassava was conducted in ethanol–water system over several simple sulfate salt catalysts. Al2(SO4)3catalyst had the best performance in synthesizing ethyl levulinate comparing with those of a series of sulfate salts. The highest yields of ethyl levulinate was up to 39.27% as well as 7.78% levulinate acid when cassava was catalyzed in ethanol medium by adding 10?wt% water.13C and1H NMR spectroscopic investigations confirmed that isomerization of glucose to fructose over Al2(SO4)3catalyst is an important step in producing ethyl levulinate and levulinate acid. Due to aggregations of Al3+under hydrothermal conditions, tiny amount of Al3+were detected in filtrate at the percentage of 0.32% even if in absolute water. Br?nsted and Lewis acids could improve the yield of ethyl levulinate and levulinate acid by synergistic effect. All results suggested that Al2(SO4)3was a simple and efficient catalyst for ethyl levulinate and levulinate acid production. ? 2016 Science Press

关键词： Catalysts Ethanol Plants (botany) Sulfur compounds Waterworks

Spillover effect of environmental investment： evidence from panel data at provincial level in China

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Frontiers of Environmental Science & Engineering 2012年第3期6卷 412-420页

作者： Qunhui LIN guanyi chen Wencui DU Haipeng NIU School of Environmental Science and Engineering Tianjin UniversityTianjin 300072China School of Economics&Business Administration Beijing Normal UniversityBeijing 100875China School of Business Renmin University of ChinaBeijing 100872China

这份报纸把污染密度看作环境投资的功能。越高环境投资，越多降低污染密度。更低污染密度是更高的生产技术变得。这被称为溢出效果。我们从 2005 ～ 2009 在省的水平收集了中国的面板数据，并且测试了环境投资的溢出效果。这份报纸发现... 详细信息

这份报纸把污染密度看作环境投资的功能。越高环境投资，越多降低污染密度。更低污染密度是更高的生产技术变得。这被称为溢出效果。我们从 2005 ～ 2009 在省的水平收集了中国的面板数据，并且测试了环境投资的溢出效果。这份报纸发现环境投资断然影响了生产技术。在政府开销和溢出效果之间有一种重要积极关系。

关键词：溢出效应环保投资板数省级中国证据降低污染生产技术

Review of ionospheric irregularities and ionospheric electrodynamic coupling in the middle latitude region

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Earth and Planetary Physics 2021年第5期5卷 462-482页

作者： Yi Liu chen Zhou Tong Xu Qiong Tang ZhongXin Deng guanyi chen ZhuangKai Wang Department of Space Physics School of Electronic InformationWuhan UniversityWuhan 430072China National Key Laboratory of Electromagnetic Environment China Research Institute of Radiowave PropagationQingdao 266107China

This paper briefly reviews ionospheric irregularities that occur in the E and F regions at mid-latitudes. Sporadic E(ES) is a common ionospheric irregularity phenomenon that is first noticed in the E layer. ES mainly appears during daytime in summer hemispheres, and is formed primarily from neutral wind shear in the mesosphere and lower thermosphere(MLT) region. Field-aligned irregularity(FAI) in the E region is also observed by Very High Frequency(VHF) radar in mid-latitude regions. FAI frequently occurs after sunset in summer hemispheres, and spectrum features of E region FAI echoes suggest that type-2 irregularity is dominant in the nighttime ionosphere. A close relationship between ES and E region FAI implies that ES may be a possible source of E region FAI in the nighttime ionosphere. Strong neutral wind shear, steep ES plasma density gradient, and a polarized electric field are the significant factors affecting the formation of E region FAI. At mid-latitudes, joint observational experiments including ionosonde, VHF radar, Global Positioning System(GPS) stations, and all-sky optical images have revealed strong connections across different scales of ionospheric irregularities in the nighttime F region, such as spread F(SF), medium-scale traveling ionospheric disturbances(MSTID), and F region FAI.Observations suggest that different scales of ionospheric irregularities are generally attributed to the Perkins instability and subsequently excited gradient drift instability. Nighttime MSTID can further evolve into small-scale structures through a nonlinear cascade process when a steep plasma density gradient exists at the bottom of the F region. In addition, the effect of ionospheric electrodynamic coupling processes, including ionospheric E-F coupling and inter-hemispheric coupling on the generation of ionospheric irregularities, becomes more prominent due to the significant dip angle and equipotentiality of magnetic field lines in the mid-latitude ionosphere. Polarized electric fields can map to different ionosp

关键词： ionospheric irregularity plasma instability neutral wind polarized electric field ionospheric electrodynamic coupling

Prediction of high-density polyethylene pyrolysis using kinetic parameters based on thermogravimetric and artificial neural networks

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Frontiers of Environmental Science & Engineering 2023年第1期17卷 63-74页

作者： Xiaoxiao Yin Junyu Tao guanyi chen Xilei Yao Pengpeng Luan Zhanjun cheng Ning Li Zhongyue Zhou Beibei Yan School of Mechanical Engineering Tianjin University of CommerceTianjin 300134China School of Environmental Science and Engineering Tianjin UniversityTianjin 300350China Key Laboratory for Power Machinery and Engineering of Ministry of Education Shanghai Jiao Tong UniversityShanghai 200240China

Pyrolysis is considered an attractive option and a promising way to dispose waste plastics.The thermogravimetric experiments of high-density polyethylene(HDPE)were conducted from 105℃ to 900℃ at different heating rates(10℃/min,20℃/min,and 30℃/min)to investigate their thermal pyrolysis behavior.We investigated four methods including three model-free methods and one modelfitting method to estimate dynamic parameters.Additionally,an artificial neural network model was developed by providing the heating rates and temperatures to predict the weight loss(wt.%)of HDPE,and optimized via assessing mean squared error and determination coefficient on the test set.The optimal MSE(2.6297×10^(−2))and R^(2) value(R^(2)>0.999)were obtained.Activation energy and preexponential factor obtained from four different models achieves the acceptable value between experimental and predicted results.The relative error of the model increased from 2.4%to 6.8%when the sampling frequency changed from 50 s to 60 s,but showed no significant difference when the sampling frequency was below 50 s.This result provides a promising approach to simplify the further modelling work and to reduce the required data storage space.This study revealed the possibility of simulating the HDPE pyrolysis process via machine learning with no significant accuracy loss of the kinetic parameters.It is hoped that this work could potentially benefit to the development of pyrolysis process modelling of HDPE and the other plastics.

关键词： HDPE Pyrolysis Kinetics Thermogravimetric ANOVA Artificial neural network

Thermogravimetric analysis of bamboo-tar under different heating rates based on distributed activation energy model

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International Journal of Agricultural and Biological Engineering 2018年第6期11卷 180-186页

作者： Huan Zhang Beibei Yan Tingzhou Lei Tao Liu Jianjun Hu Yameng Li guanyi chen School of Environmental Science&Engineering Tianjin UniversityTianjin 300350China Collaborative Innovation Center of Biomass Energy Henan Agricultural UniversityZhengzhou 450002China Energy Institute Henan Academy of SciencesZhengzhou 450002China College of Resources and Environment Henan University of Economics and LawZhengzhou 450002China

Carbon fiber is a kind of new polymer material with excellent mechanical properties and being applied widely.The process of carbon fiber prepared by bamboo tar,including extraction,condensation,spinning,oxidation and carbonation,is influenced by the pyrolysis kinetics significantly.In this paper,the thermogravimetric analysis(TGA)of bamboo tar produced in the process of pyrolysis and gasification of the bamboo which is known as Phylostachys sulphurea,was analyzed by the distributed activation energy model(DAEM)to understand the kinetic properties and parameters of bamboo tar.The thermogravimetric analysis of bamboo tar which is used as the raw material of carbon fiber was conducted under 5 different heating rates(i.e.5,10,15,30 and 50℃/min,etc.)in nitrogen atmosphere.The results show that the activation energy of bamboo tar and the exponential factor increased significantly with the increase of the heating rate,and the low heating rate is advantageous to the extraction of bamboo tar solvent and the thermal polycondensation,which can provide scientific reference for the optimization of carbon fiber technology.The thermal weight results show that the temperature range of bamboo tar being decomposed rapidly is 213℃-410℃.The ranges of the activation energy were calculated by DAEM,which have small difference in comparisons with five heating rates when the conversion rate is at 0.1-0.6 and the average value of the activation energy is 119 kJ/mol.The stability range of the activation energy is enlarged when the conversion rate is greater than 0.6 and heating rate increases.

关键词： bamboo tar carbon fiber thermogravimetric analysis(TGA) distributed activation energy model(DAEM)