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Characteristics of Pre-summer Daytime Cloud Regimes over Coastal South China from the Himawari-8 Satellite

Advances in Atmospheric Sciences 2022年第12期39卷 2008-2023,I0001-I0015页

作者： mingxin li Yali LUO Min MIN State Key Laboratory of Severe Weather Chinese Academy of Meteorological SciencesBeijing 100081China Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters Nanjing University of Information Science and TechnologyNanjing 210044China School of Atmospheric Sciences and Guangdong Province Key Laboratory for Climate Change and Natural Disaster StudiesSun Yat-sen UniversityGuangzhou 519082China

Using the high spatiotemporal resolution(2 km-and-10 min)data from the Advanced Himawari Imager onboard the Himawari-8 satellite,this study documents the fine-scale characteristics of daytime cloud regimes(CRs)over coastal South China during the pre-summer rainy season(April–June).Six CRs(CR1–CR6)are identified based on the joint frequency distribution of cloud top brightness temperature and cloud optical thickness,namely,the optically thin-to-moderate cloud mixture,optically thin warm clouds with cirrus,optically thick warm clouds,weak convective cloud mixture,strong convective clouds,and extreme,deep convective clouds.The optically thick warm clouds are the major CR during April and May,with higher frequencies over land,especially along the urban agglomeration,rather than the offshore which may be an indicator of the higher aerosol concentrations being a contributing factor over the cities.The CRs with weak convective cloud mixtures and strong convective clouds appear more frequently over the land,while the two CRs with optically thinner clouds occur mainly offshore.Synoptic flow patterns(SPs)are objectively identified and examined focusing on those favoring the two major rainproducing CRs(CR5 and CR6)and the highly reflective CR with optically thick warm clouds(CR3).The two SPs favoring CR5 and CR6 are characterized by abundant moisture with low-level jets after monsoon onset,and a northwest highsoutheast low pattern with strong dynamic convergence along the coastline,respectively.The non-convective CR3 with high reflectance is related to a SP that features the western North Pacific subtropical high extending more westward,leading to a moderate moisture supply and a wide range of convective available potential energy,but also,large convective inhibition.

关键词： cloud regime monsoon onset synoptic pattern satellite data spatiotemporal distribution

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Simulation Research on Performance of a Novel Heating and Cooling System with Thermoelectric Module

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Journal of Renewable Materials 2022年第11期10卷 3079-3091页

作者： mingxin li Benzhi Hou Yihua Zheng College of Mechanical and Electrical Engineering Qingdao UniversityQingdao266071China

This work proposes a novel heating and cooling system,with incorporated thermoelectric module,that can achieve energy balance using a self-water supply heat exchange subsystem.The thermoelectric effect is used to achieve controlled and adjustable heating of the circulating water.Simulations were conducted to study the thermal performance of the system while it simultaneously produces hot and cold water,with different working conditions for the hot-and cold-side water outlets.The results show that the water temperature at the hot side outlet increases from 32℃to 75℃when the power increases from 4.5 to 50 W.Additionally,the use of thermoelectric modules to heat water and recover waste heat is 22%more efficient than ordinary electric water heating systems.

关键词： Thermoelectric module energy complementarity waste heat recovery Nomenclature

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Nitrogen-doped microporous graphite-enhanced copper plasmonic effect for solar evaporation

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Carbon Energy 2024年第3期6卷 215-223页

作者： Xintao Wu Chengcheng li Ziqi Zhang Yang Cao Jieqiong Wang Xinlong Tian Zhongxin liu Yijun Shen mingxin Zhang Wei Huang School of Marine Science and Engineering School of Chemistry and Chemical EngineeringHainan UniversityHaikouHainanChina Key Laboratory of Child Cognition and Behavior Development of Hainan Province Qiongtai Normal UniversityHaikouHainanChina

Water scarcity is a global challenge,and solar evaporation technology offers a promising and eco-friendly solution for freshwater production.Photothermal conversion materials(PCMs)are crucial for solar evaporation.Improving photothermal conversion efficiency and reducing water evaporation enthalpy are the two key strategies for the designing of PCMs.The desired PCMs that combine both of these properties remain a challenging task,even with the latest advancements in the field.Herein,we developed copper nanoparticles(NPs)with different conjugated nitrogen-doped microporous carbon coatings(Cu@C–N)as PCMs.The microporous carbon enveloping layer provides a highly efficient pathway for water transport and a nanoconfined environment that protects Cu NPs and facilitates the evaporation of water clusters,reducing the enthalpy of water evaporation.Meanwhile,the conjugated nitrogen nodes form strong metal-organic coordination bonds with the surface of copper NPs,acting as an energy bridge to achieve rapid energy transfer and provide high solar-to-vapor conversion efficiency.The Cu@C–N exhibited up to 89.4%solar-to-vapor conversion efficiency and an evaporation rate of 1.94 kgm^(−2) h^(−1) under one sun irradiation,outperforming conventional PCMs,including carbon-based materials and semiconductor materials.These findings offer an efficient design scheme for high-performance PCMs essential for solar evaporators to address global water scarcity.

关键词： nanoconfinement photothermal conversion materials plasmonic resonance seawater desalination solar evaporation

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Participants Recruitment for Coverage Maximization by Mobility Predicting in Mobile Crowd Sensing

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China Communications 2023年第8期20卷 163-176页

作者： Yuanni liu Xi liu Xin li mingxin li Yi li School of Communication and Information Engineering Chongqing University of Posts and TelecommunicationsChongqing 400065China School of Cyber Security and Information Law Chongqing University of Posts and TelecommunicationsChongqing 400065China State Key Laboratory of Networking and Switching Beijing Research Institute China UnicomBeijing 100048China

Mobile Crowd Sensing(MCS)is an emerging paradigm that leverages sensor-equipped smart devices to collect data.The introduction of MCS also poses some challenges such as providing highquality data for upper layer MCS applications,which requires adequate participants.However,recruiting enough participants to provide the sensing data for free is hard for the MCS platform under a limited budget,which may lead to a low coverage ratio of sensing area.This paper proposes a novel method to choose participants uniformly distributed in a specific sensing area based on the mobility patterns of mobile users.The method consists of two steps:(1)A second-order Markov chain is used to predict the next positions of users,and select users whose next places are in the target sensing area to form a candidate pool.(2)The Average Entropy(DAE)is proposed to measure the distribution of participants.The participant maximizing the DAE value of a specific sensing area with different granular sub-areas is chosen to maximize the coverage ratio of the sensing area.Experimental results show that the proposed method can maximize the coverage ratio of a sensing area under different partition granularities.

关键词： data average entropy human mobility prediction markov chain mobile crowd sensing

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Leaching kinetics of fluorine during the aluminum removal from spent li-ion battery cathode materials

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Journal of Environmental Sciences 2024年第4期138卷 312-325页

作者： Shengjie li Jianxin Zhu Research Center for Eco-Environmental Sciences Chinese Academy of SciencesBeijing 100085China University of Chinese Academy of Sciences Beijing 100049China

The high content of aluminum(Al)impurity in the recycled cathode powder seriously affects the extraction efficiency of Nickel,Cobalt,Manganese,and lithium resources and the actual commercial value of recycled materials,so Al removal is crucially important to conform to the industrial standard of spent li-ion battery cathode materials.In this work,we systematically investigated the leaching process and optimum conditions associated with Al removal from the cathode powder materials collected in a wet cathode-powder peeling and recycling production line of spent li-ion batteries(liBs).Moreover,we specifically studied the leaching of fluorine(F)synergistically happened along with the removal process of Al,which was not concerned about in other studies,but one of the key factors affecting pollution prevention in the recovery process.The mechanism of the whole process including the leaching of Al and F from the cathode powder was indicated by using NMR,FTIR,and XPS,and a defluoridation process was preliminarily investigated in this study.The leaching kinetics of Al could be successfully described by the shrinking core model,controlled by the diffusion process and the activation energy was 11.14 kJ/mol.While,the leaching of F was attributed to the dissolution of liPF6and decomposition of PVDF,and the kinetics associated was described by Avrami model.The interaction of Al and F is advantageous to realize the defluoridation to some degree.It is expected that our investigation will provide theoretical support for the large-scale recycling of spent liBs.

关键词： Al removal F leaching Cathode powder Heating alkali leaching Leaching kinetics

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A novel flavonol-based colorimetric and turn-on fluorescent probe for rapid determination of hydrazine in real water samples and its bioimaging in vivo and in vitro

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Frontiers of Chemical Science and Engineering 2023年第1期17卷 24-33页

作者： Ahui Qin Yan Zhang Shuai Gong mingxin li Yu Gao Xu Xu Jie Song Zhonglong Wang Shifa Wang Co-Innovation Center of Efficient Processing and Utilization of Forest Resources International Innovation Center for Forest Chemicals and MaterialsCollege of Chemical EngineeringNanjing Forestry UniversityNanjing 210037China Department of Natural Sciences University of Michigan-FlintFlintMI 48502USA

Hydrazine is extremely toxic and causes severe harm to human body.Herein,a novel fluorescent probe 4-oxo-2-styryl-4H-chromen-3-yl thiophene-2-carboxylate(FHT)was synthesized for detecting hydrazine by using natural cinnamaldehyde as starting material.This probe exhibited significantly enhanced fluorescence response towards hydrazine over various common metal ions,anions,and amine compounds.The detection limit of probe FHT for hydrazine was as low as 0.14μmol·L^(-1),significantly lower than that of the threshold value of 0.312μmoi·L^(-1),imposed by the Environmental Protection Agency.Moreover,the proposed probe was able to detect hydrazine within wide pH(5-10)and linear detection ranges(0-110μmol·L^(-1)).This probe was employed for determining trace hydrazine in different environmental water samples.The probe FHT-loaded filter paper strips werea able to conveniently detect hydrazine of low concentration through distinct naked-eye and fluorescent color changes.Importantly,the probe FHT with low cytotoxicitywas successfullyapplied to visualize hydrazine in living Hela cells and zebrafish.

关键词： cinnamaldehyde 3-hydroxychromone derivative hydrazine fluorescent probe

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Additives strategies to improving cycling stability of li metal batteries by modifying electrode electrolyte interphases

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Progress in Natural Science:Materials International 2024年第2期34卷 338-344页

作者： Yuan li Pengfei Huang Chunyu Cui Xiaoyuan Ma li Chen Zekun li linhai li Yuhong Tian School of Biological and Chemical Engineering Guangxi University of Science and Technology School of College of Chemistry and Chemical Engineering Hunan University Isky Future Energy Institute

li metal batteries（LMBs） have attracted much attention due to the ultra-high theoretical capacity of the li metal anode（LMA）.However,the uncontrollable dendrites growth and low coulombic efficiency hinder their practical application.Here,we explore 3,5-difluoropyridine（2F-BD） as a novel electrolyte additive to enable highperformance LMBs.The 2F-BD additive participates in and modifies the solvation structure of li ions by reducing the coordinated number of PF6-at the electrode surface,leading to the formation of a liF and li3N-rich solid electrolyte interphase（SEI）.The liF component increases the robustness of SEI and suppresses the formation of li dendrites,while the li3N component facilitates the transportation and reaction kinetics of li ions.As a result,the li‖li symmetric cell presents a stable cycling performance of up to 500 h at a current density of 1 mA cm-2.After coupling with liFePO4cathode,the obtained full cell achieves high specific capacities of 106.06 mA h g-1and 84.98 mA h g-1at 2.55 mA cm-2and 5.10 mA cm-2,respectively,and maintains a high capacity retention of84.0% after 1000 cycles at 0.13 mA cm-2,with an average cycling CE of 99.58%.

关键词： Electrolyte additive li dendrites li metal batteries liF and li3N-Rich electrode-electrolyte interphase liFePO4 cathode

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A neural network-based production process modeling and variable importance analysis approach in corn to sugar factory

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Frontiers of Chemical Science and Engineering 2023年第3期17卷 358-371页

作者： Yi Tong Mou Shu mingxin li Yingwei liu Ran Tao Congcong Zhou You Zhao Guoxing Zhao Yi li Yachao Dong Lei Zhang linlin liu Jian Du COFCO Biotechnology Co. Ltd.Beijing 100005China COFCO Nutrition and Health Research Institute Co. Ltd.Beijing 102209China Institute of Process Systems Engineering School of Chemical EngineeringDalian University of TechnologyDalian 116024China

Corn to sugar process has long faced the risks of high energy consumption and thin profits.However,it’s hard to upgrade or optimize the process based on mechanism unit operation models due to the high complexity of the related processes.Big data technology provides a promising solution as its ability to turn huge amounts of data into insights for operational decisions.In this paper,a neural network-based production process modeling and variable importance analysis approach is proposed for corn to sugar processes,which contains data preprocessing,dimensionality reduction,multilayer perceptron/convolutional neural network/recurrent neural network based modeling and extended weights connection method.In the established model,dextrose equivalent value is selected as the output,and 654 sites from the DCS system are selected as the inputs.LASSO analysis is first applied to reduce the data dimension to 155,then the inputs are dimensionalized to 50 by means of genetic algorithm optimization.Ultimately,variable importance analysis is carried out by the extended weight connection method,and 20 of the most important sites are selected for each neural network.The results indicate that the multilayer perceptron and recurrent neural network models have a relative error of less than 0.1%,which have a better prediction result than other models,and the 20 most important sites selected have better explicable performance.The major contributions derived from this work are of significant aid in process simulation model with high accuracy and process optimization based on the selected most important sites to maintain high quality and stable production for corn to sugar processes.

关键词： big data corn to sugar factory neural network variable importance analysis

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计及台风灾害全过程模拟的配电网差异化加固规划韧性提升方法

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电力系统保护与控制 2024年第3期52卷 62-73页

作者：郭明鑫李少岩顾雪平华北电力大学电气与电子工程学院河北保定071003

台风会对配电网系统造成严重影响,制定架空线路的防风加固规划方案至关重要。为提高配电网抵御自然灾害的韧性,提出一种计及台风灾害全过程模拟的配电网差异化加固规划韧性提升方法,通过模拟台风登陆至消亡时刻全过程实时风况信息,对各... 详细信息

台风会对配电网系统造成严重影响,制定架空线路的防风加固规划方案至关重要。为提高配电网抵御自然灾害的韧性,提出一种计及台风灾害全过程模拟的配电网差异化加固规划韧性提升方法,通过模拟台风登陆至消亡时刻全过程实时风况信息,对各线路实施差异化加固。首先,利用狄利克雷过程混合模型(dirichlet process mixture model,DPMM)聚类算法提取典型台风登陆场景,结合风暴轨迹模型和Batts风场模型模拟实时台风移动路径和台风风场,计算配电网线路实时故障概率。然后,结合台风场景模拟结果和不同设计风速标准下的差异化的架空线路故障率,建立以多等级线路加固年投资成本、台风过境过程中失负荷成本、停电损失和维修成本最小为目标的双层随机规划模型,并利用Benders分解算法进行求解。最后,以改进IEEE33节点系统为例,对所提方法有效性进行了验证。

关键词：极端天气灾害模拟配电网韧性提升差异化加固

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Highly-chlorinated inert and robust interphase without mineralization of oxide enhancing high-rate li metal batteries

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Chinese Chemical Letters 2024年第6期35卷 239-243页

作者： Long li Kang Yang Chenpeng Xi Mengchao li Borong li Gui Xu Yuanbin Xiao Xiancai Cui Zhiliang liu lingyun li Yan Yu Chengkai Yang Key Laboratory of Advanced Materials Technologies International(HongKong Macao and Taiwan)Joint Laboratory on Advanced Materials TechnologiesSchool of Materials Science and EngineeringFuzhou UniversityFuzhou 350108China College of Material Sciences and Chemical Engineering Harbin Engineering UniversityHarbin 150001China

Side reactions and dendrite growth triggered by the unstable interface and inhomogeneous deposition have become the biggest obstacle to the commercialization for lithium metal batteries.In this study,a highly-chlorinated organic-inorganic hybrid interfacial protective layer is developed by rationally tuning the interfacial passivation and robustness to achieve the convenient and efficient li metal anode.The polyvinyl chloride(PVC)can effectively resist water and oxygen,which is confirmed by density functional theory.The organic-dominant solid electrolyte interphases(SEI)with lithium chloride are investigated by the X-ray photoelectron spectroscopy(XPS)with little mineralization of oxide,such as li_(2)O and li_(2)CO_(3).With such artificial SEI,a uniform and dense lithium deposition morphology are formed and an ultra-long stable cycle of over 500 h are achieved even at an ultra-high current density of 10 m A/cm^(2).Moreover,the simple and convenient protected anode also exhibits excellent battery stability when paired with the liNi_(0.8)Co_(0.1)Mn_(0.1)O_(2)(NCM811)and liFePO_(4)(LFP)cathode,showing great potential for the commercial application of lithium metal batteries.

关键词： Highly-chlorinated Water/oxygen resistance Stable interphase Dendrite-free lithium metal batteries High-rate

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