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Science Bulletin 2024年第2期 218-226页

作者：杨晓彬孙盼温雅洁 Anil U.Mane Jeffrey W.Elam 马军刘少敏 Seth B.Darling 邵路 MIIT Key Laboratory of Critical Materials Technology for New Energy Conversion and Storage State Key Laboratory of Urban Water Resource and Environment School of Chemistry and Chemical Engineering Harbin Institute of Technology Chemical Sciences and Engineering Division Argonne National Laboratory Advanced Materials for Energy-Water Systems Energy Frontier research Center Argonne National Laboratory School of environment Harbin Institute of Technology Pritzker School of Molecular Engineering University of Chicago Department of Physics University of Illinois at Chicago Applied Materials Division Argonne National Laboratory WA School of Mines: Minerals Energy and Chemical Engineering Curtin University

Atomic layer deposition(ALD) offers unique capabilities to fabricate atomically engineered porous materials with precise pore tuning and multi-functionalization for diverse applications like advanced membrane separations towards sustainable energy-water systems. However, current ALD technique is inhibited on most non-polar polymeric membranes due to lack of accessible nucleation sites. Here, we report a facile method to efficiently promote ALD coating on hydrophobic surface of polymeric membranes via novel protein activation/sensitization. As a proof of concept, TiO2ALD-coated membranes activated by bovine serum albumin exhibit remarkable superhydrophilicity, ultralow underwater crude oil adhesion, and robust tolerance to rigorous environments including acid, alkali, saline, and *** importantly, excellent cyclable crude oil-in-water emulsion separation performance can be achieved. The mechanism for activation/sensitization is rooted in reactivity for a particular set of amino acids. Furthermore, the universality of protein-sensitized ALD is demonstrated using common egg white,promising numerous potential usages in biomedical engineering, environmental remediation, lowcarbon manufacturing, catalysis, and beyond.

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Application of hydrophobic ionic liquid [Bmmim][PF6] in solvent extraction for oily sludge

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Chinese Journal of Chemical Engineering 2020年第9期28卷 2294-2300页

作者： Lingfu Zhu Zuhong Lin Jie Tan Liyang Hu Tingting Zhang College of Chemical Engineering Beijing University of Chemical TechnologyBeijing 100029China Centre for Resource and environmental research Beijing University of Chemical TechnologyBeijing 100029China

In this study, an ionic liquid(IL), 1-butyl-2,3-dimmmethylimidazolium hexafluorophosphate([Bmmim][PF6]),was used in combination with a composite solvent of methyl acetate and n-heptane to enhance the oil extraction from oily sludge. The oil recovery increased by approximately 15% compared with that of solvent extraction without [Bmmim][PF6] at the optimal ratios of IL to sludge and solvents to sludge, which were at 2:5(M/M) and 4:1(V/M), respectively. The saturate, aromatic, resin and asphaltene(SARA) analysis revealed that the recovery of resins and asphaltenes was increased by 14% and 38%, respectively, in the solvent extraction with the addition of [Bmmim][PF6]. [Bmmim][PF6] maintained a good performance after its reuse four times. The addition of[Bmmim][PF6] changed the adhesion forces between oil and soil. The IL-assisted solvent extraction procedure followed the pseudo second-order kinetic model, while the unassisted solvent extraction procedure followed the pseudo first-order kinetic model. The results also demonstrated that [Bmmim][PF6] decreased the solvent consumption by approximately 60% each time. Additionally, [Bmmim][PF6] can be easily separated. The results suggested that enhancing the solvent extraction with this IL is a promising way to recover oil from oily sludge with a higher oil recovery rate and lower organic solvent consumption than those with the unassisted solvent extraction method.

关键词： Oily sludge Ionic liquid Solvent extraction Oil component Kinetic model

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Crop diagnostic system:A robust disease detection and management system for leafy green crops grown in an aquaponics facility

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Artificial Intelligence in Agriculture 2023年第4期10卷 1-12页

作者： R.Abbasi P.Martinez R.Ahmad Aquaponics 4.0 Learning Factory(AllFactory) Department of Mechanical EngineeringUniversity of Alberta9211116 St.EdmontonAB T6G 2G8Canada Mechanical and Construction Engineering Department Northumbria UniversityNewcastle Upon Tyne NE77YTUK

Crops grown on aquaponics farms are susceptible to various diseases or biotic stresses during their growth cycle,just like traditional *** early detection of diseases is crucial to witnessing the efficiency and progress of the aquaponics *** combines recirculating aquaculture and soilless hydroponics methods and promises to ensure food security,reduce water scarcity,and eliminate carbon *** the large-scale imple-mentation of this farming technique,a unified system is needed that can detect crop diseases and support re-searchers and farmers in identifying potential causes and treatments at early *** study proposes an automatic crop diagnostic system for detecting biotic stresses and managing diseases in four leafy green crops,lettuce,basil,spinach,and parsley,grown in an aquaponics ***,a dataset comprising 2640 images is ***,a disease detection system is developed that works in three *** first phase is a crop clas-sification system that identifies the type of *** second phase is a disease identification system that determines the crop's health *** final phase is a disease detection system that localizes and detects the diseased and healthy spots in leaves and categorizes the *** proposed approach has shown promising results with accuracy in each of the three phases,reaching 95.83%,94.13%,and 82.13%,*** final dis-ease detection system is then integrated with an ontology model through a cloud-based *** ontol-ogy model contains domain knowledge related to crop pathology,particularly causes and treatments of different diseases of the studied leafy green crops,which can be automatically extracted upon disease detection allowing agricultural practitioners to take precautionary *** proposed application finds its significance as a de-cision support system that can automate aquaponics facility health monitoring and assist agricultural practi-tione

关键词： Computer vision Deep learning Disease detection Leafy crops Aquaponics Digital farming

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Copper Isotope Fractionation during Basalt Leaching at 25℃ and pH=0.3,2

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Journal of Earth Science 2022年第1期33卷 82-91页

作者： Dandan Li Sheng-Ao Liu State Key Laboratory of Geological Processes and Mineral Resources China University of GeosciencesBeijing 100083China

The geochemical cycling of copper in the hydrosphere and soil environments primarily involves the transport of Cu from rocks to rivers via *** the factors controlling Cu isotope fractionation during weathering is crucial for the purpose of using Cu isotopes as a tracer of geochemical ***,we performed acid-leaching experiments on natural basalts (BHVO-2 and GBW07105) and chalcopyrite in Erlenmeyer flasks at T=25℃ and different pH values (0.3 and 2).Our results reveal substantial Cu isotope fractionations (△^(65)Cu_(solution-initial)) between leachates (Cu_(solution)) and starting materials (Cu_(initial)).The leachates released from GBW07105 and chalcopyrite are consistently enriched in heavier Cu isotopes relative to the starting materials at pH=***,the δ^(65)Cu_(solution)values decrease to about-0.6‰first,then increase to>0 for BHVO-2 at pH=2 and GBW07105 at pH=*** results indicate that leaching of natural rocks by acidic liquids can produce both positive and negative Cu isotope fractionation,depending on pH values and the types of minerals in starting materials.X-ray power diffraction analysis (XRD) patterns reveal similar mineral assemblages between starting basalts and residues after each reaction *** most likely mechanisms responsible for such Cu isotope fractionation are the relative rates of Cu oxidation at the surface and Cu release into solution,and the sequence of mineral *** study represents an important step for future studies to use Cu isotopes to explain Cu isotopic variations in natural rocks and waters.

关键词： Cu isotopes isotope fractionation basalt chalcopyrite leaching

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Determination of Parameters Affecting the Estimation of Iceberg Draft

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China Ocean Engineering 2023年第1期37卷 62-72页

作者： Hamed AZIMI Masoud MAHDIANPARI Hodjat SHIRI Civil Engineering Department Faculty of Engineering and Applied ScienceMemorial University of NewfoundlandA1B 3X5St.John’sNLCanada Department of Electrical and Computer Engineering Faculty of Engineering and Applied ScienceMemorial University of NewfoundlandA1B 3X5St.John’sNLCanada C-CORE A1B 3X5St.John’sNLCanada

Recent offshore oil and gas loading facilities developed in the Arctic area have led to a considerable awareness of the iceberg draft approximation, where deep keel icebergs may gouge the ocean floor, and these submarine infrastructures would be damaged in the shallower waters. Developing reliable solutions to estimate the iceberg draft requires a profound understanding of the problem’s dominant parameters. As such, the dimensionless groups of the parameters affecting the iceberg draft estimation were determined for the first time in the present study. Using the dimensionless groups recognized and the linear regression(LR) analysis, nine LR models(i.e., LR 1 to LR 9) were developed and then validated using a comprehensive dataset, which has been constructed in this study. A sensitivity analysis distinguished the premium LR models and important dimensionless groups. The best LR model, as a function of all dimensionless parameters, was able to estimate the iceberg draft with the highest level of precision and correlation along with the lowest degree of complexity. The ratio of iceberg length to iceberg height as the “iceberg length ratio” and the ratio of iceberg width to iceberg height as the “iceberg width ratio” was detected as the important dimensionless groups in the estimation of the iceberg draft. An uncertainty analysis demonstrated that the best LR model was biased towards underestimating the iceberg drafts. The premium LR model outperformed the previous empirical ***, a set of LR-based relationships were derived for estimating the iceberg drafts for practical engineering applications, e.g., the early stages of the iceberg management projects.

关键词： dimensional analysis iceberg draft subsea assets linear regression(LR) sensitivity analysis

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Solidification of loess using microbial induced carbonate precipitation

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Journal of Mountain Science 2021年第1期18卷 265-274页

作者： LIU Xiao-jun FAN Jin-yue YU Jing GAO Xin Shaanxi Key Laboratory of Geotechnical and Underground Space Engineering College of Civil EngineeringXi'an University of Architecture and TechnologyXi'an 710055China College of Civil Engineering Xi'an University of Architecture and TechnologyXi'an 710055China

Microbial-induced carbonate precipitation(MICP)is a relatively innovative and environmentally-friendly soil reinforcement technology,primarily used on sand,but its application in loess has rarely been *** paper explores the viability of the MICP technique for improving the engineering properties of typical *** pasteurii was used to trigger carbonate *** such as reaction temperature,p H of the media,and the inoculation ratio were adopted to determine the optimum *** concentrations of Sporosarcina pasteurii and cementation reagent were selected for combination to treat the loess samples with a selfdesigned vacuum test *** unconfined compressive strength and calcium carbonate content of the treated samples were tested and Scanning Electron Microscopy(SEM)was carried out to evaluate the improving *** results showed that the optimum conditions are reaction temperature of 30℃,p H of the media of 9,a higher inoculation ratio can produce higher enzyme activity and monomer enzyme *** engineering properties of the MICP-treated loess are significantly *** obtained unconfined compressive strength increases nearly 4 times when the OD600 is 1.5 and cementation reagent concentration is 1 mol/*** test results of calcium carbonate content are consistent with unconfined compressive ***,the microstructure of loess samples was quantitatively analyzed by Pore(Particle)and cracks analysis system(PCAS).It was showed that MICP has a great influence on the surface porosity,followed by the pore fractal dimension and the probability entropy,but has little influence on the pore average form factor.

关键词： Loess solidification MICP Unconfined compressivestrength Calciumcarbonate Microstructure

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Debris flow impact on flexible barrier: effects of debrisbarrier stiffness and flow aspect ratio

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Journal of Mountain Science 2019年第7期16卷 1629-1645页

作者： SONG Dong-ri ZHOU Gordon G.D CHOI Clarence Edward ZHENG Yun Key Laboratory of Mountain Hazards and Earth Surface Process/Institute of Mountain Hazards and environment Chinese Academy of SciencesChengdu 610041China University of Chinese Academy of Sciences Beijing 100049China Department of Civil and environmental Engineering Hong Kong University of Science and TechnologyClear Water BayKowloonHong Kong SARChina The HKUST Jockey Club Institute for Advanced Study Hong Kong SARChina

Conventionally,flexible barriers are rated based on their ability to resist a free-falling boulder with a particular input ***,there is still no well-accepted approach for evaluating performance of flexible barrier under debris flow *** this study,a large-nonlinear finite-element model was used to back-analyze centrifuge tests to discern the effects of impact material type,barrier stiffness,and flow aspect ratio(flow height to flow length)on the reaction force between the impacting medium and flexible *** show that,in contrast to flexible barriers for resisting rockfall,the normal impact force induced by the highly frictional and viscous debris is insensitive to barrier *** is because the elongated distributions of kinetic energy are mainly dissipated by the internal and boundary shearing,and only a small portion is forwarded to the ***,a new stiffness number is proposed to characterize the equivalent stiffness between a debris flow or a boulder,and a flexible *** the circumstance of an extremely elongated debris flow event,i.e.,low aspect ratio,the load on a barrier is dominated by the static component and thus not sensitive to the barrier stiffness.

关键词： Debris flow Flexible barrier Impact Stiffness Flow aspect ratio

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Molecular interaction mechanism in the separation of a binary azeotropic system by extractive distillation with ionic liquid

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Green Energy & environment 2021年第3期6卷 329-338页

作者： Hong Li Guanlun Sun Dongyang Li Li Xi Peng Zhou Xingang Li Ji Zhang Xin Gao School of Chemical Engineering and Technology National Engineering Research Center of Distillation TechnologyCollaborative Innovation Center of Chemical Science and Engineering(Tianjin)Tianjin UniversityTianjin300072China Department of Chemical Engineering McMaster UniversityHamiltonOntarioL8S 4L7Canada

Ionic liquids(ILs)have shown excellent performance in the separation of binary azeotropes through extractive distillation[1].But the role of the ionic liquid in azeotropic system is not well *** this paper,COSMO-RS model was applied to screen an appropriate IL to separate the binary azeotrope of ethyl acetate(EA)and ethanol and 1-octyl-3-methylimidazolium tetrafluoroborate([OMIM][BF4])was *** Quantum Mechanics(QM)calculations and molecular dynamics(MD)simulation are performed to study the interactions between the solvent molecules and[OMIM][BF4],in order to investigate the separation mechanism at the molecular *** nature of the interactions is studied through the reduced density gradient(RDG)function and quantum theory of Atom in Molecule(QTAIM).Hydrogen bonds and van der Waals interactions are the key interactions in the *** results of MD simulations indicate that the introduction of ILs has a prominent effect on the interaction between the solvent molecules,especially on reducing the number of hydrogen bonds among the solvent *** radial distribution function(RDF)reveals that the interaction between the cation and solvent molecules will increase while the concentration of ILs *** paper provides important information for understanding the role of ILs in the separation of the azeotropic system,which is valuable to the development of new entrainers.

关键词： Ionic liquids Azeotrope Density functional theory Separation Extractive distillation

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Kinetic Slip Boundary Condition for Isothermal Rarefied Gas Flows through Static Non-Planar Geometries Based on the Regularized Lattice-Boltzmann Method

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Communications in Computational Physics 2022年第3期31卷 816-868页

作者： Jean-Michel Tucny David Vidal Sebastien Leclaire Francois Bertrand Mechanical Engineering Department Polytechnique MontralP.O.Box 6079Stn.CVMontrealQCCANADAH3C 3A7 Chemical Engineering Department Polytechnique MontralP.O.Box 6079Stn.CVMontrealQCCANADAH3C 3A7

The simulation of rarefied gasflows through complex porous media is chal-lenging due to the tortuousflow pathways inherent to such *** Lattice Boltzmann method(LBM)has been identified as a promising avenue to solveflows through complex geometries due to the simplicity of its scheme and its high parallel computational *** has been proposed to model the stress-strain relationship with the extended Navier-Stokes equations rather than attempting to directly solve the Boltzmann ***,a regularization technique is required tofilter out non-resolved higher-order components with a low-order velocity *** slip boundary conditions(BCs)have been proposed for the non-regularized multiple relaxation time LBM(MRT-LBM)for planar geometries,previous slip BCs have never been verified extensively with the regularization *** this work,following an extensive literature review on the imposition of slip BCs for rarefiedflows with the LBM,it is proven that earlier values for kinetic parameters developed to impose slip BCs are inaccurate for the regularized MRT-LBM and differ between the D2Q9 and D3Q15 *** error was eliminated for planarflows and good agreement be-tween analytical solutions for arrays of cylinders and spheres was found with a wide range of Knudsen numbers.

关键词： Lattice Boltzmann method(LBM) boundary condition(BC) rarefiedflow nonplanar geometry

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Spatiotemporal Variability of Methane over the Amazon from Satellite Observations

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Advances in Atmospheric Sciences 2016年第7期33卷 852-864页

作者： Igor Oliveira RIBEIRO] Rodrigo Augusto Ferreira de SOUZA Rita Valeria ANDREOLI Mary Toshie KAYANO Patrfcia dos Santos COSTA Post-Graduate Program in Climate and environment CLIAMBINPA/UEAAv.Andre Araujo2936Campus 11Aleixo69060-001ManausAMBrasil Amazonas State University Superior School of TechnologyAv.Darcy Vargas1200Parque 10 de Novembro69065-020ManausAMBrasil National Institute for Space research Center For Weather Forecasting and Climate ResearchAv.dos Astronautas175812227-010Sao Josd dos CamposSPBrasil

The spatiotemporal variability of the greenhouse gas methane （CH4） in the atmosphere over the Amazon is studied using data from the space-borne measurements of the Atmospheric Infrared Sounder on board NASA＇s AQUA satellite for the period 2003-12. The results show a pronounced variability of this gas over the Amazon Basin lowlands region, where wetland areas occur. CH4 has a well-defined seasonal behavior, with a progressive increase of its concentration during the dry season, followed by a decrease during the wet season. Concerning this variability, the present study indicates the important role of ENSO in modulating the variability of CH4 emissions over the northern Amazon, where this association seems to be mostly linked to changes in flooded areas in response to ENSO-related precipitation changes. In this region, a CH4 decrease （increase） is due to the E1 Nifio-related （La Nifia-related） dryness （wetness）. On the other hand, an increase （decrease） in the biomass burning over the southeastern Amazon during very dry （wet） years explains the increase （decrease） in CH4 emissions in this region. The present analysis identifies the two main areas of the Amazon, its northern and southeastern sectors, with remarkable interannual variations of CH4. This result might be useful for future monitoring of the variations in the concentration of CH4, the second-most important greenhouse gas, in this area.

关键词： climate variability methane satellite data Amazon region

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