Improved STNModels and Heuristic Rules for Cooperative Scheduling in Automated Container Terminals

Improving the cooperative scheduling efficiency of equipment is the key for automated container terminals to copewith the development trend of large-scale ships. In order to improve the solution efficiency of the existing spacetimenetwork (STN) model for the cooperative scheduling problem of yard cranes (YCs) and automated guidedvehicles (AGVs) and extend its application scenarios, two improved STN models are proposed. The flow balanceconstraints in the original model are decomposed, and the trajectory constraints of YCs and AGVs are added toacquire the model STN_A. The coupling constraint in STN_A is updated, and buffer constraints are added toSTN_A so that themodel STN_B is built.As the size of the problem increases, the solution speed of CPLEX becomesthe bottleneck. So a heuristic method containing three groups of heuristic rules is designed to obtain a near-optimalsolution quickly. Experimental results showthat the computation time of STN_A is shortened by 49.47% on averageand the gap is reduced by 1.69% on average compared with the original model. The gap between the solution ofthe heuristic rules and the solution of CPLEX is less than 3.50%, and the solution time of the heuristic rules is onaverage 99.85% less than the solution time of CPLEX. Compared with STN_A, the computation time for solvingSTN_B increases by 58.93% on average.

A Pre-Selection-Based Ant Colony System for Integrated Resources Scheduling Problem at Marine Container Terminal

Marine container terminal(MCT)plays a key role in the marine intelligent transportation system and international logistics system.However,the efficiency of resource scheduling significantly influences the operation performance of MCT.To solve the practical resource scheduling problem(RSP)in MCT efficiently,this paper has contributions to both the problem model and the algorithm design.Firstly,in the problem model,different from most of the existing studies that only consider scheduling part of the resources in MCT,we propose a unified mathematical model for formulating an integrated RSP.The new integrated RSP model allocates and schedules multiple MCT resources simultaneously by taking the total cost minimization as the objective.Secondly,in the algorithm design,a pre-selection-based ant colony system(PACS)approach is proposed based on graphic structure solution representation and a pre-selection strategy.On the one hand,as the RSP can be formulated as the shortest path problem on the directed complete graph,the graphic structure is proposed to represent the solution encoding to consider multiple constraints and multiple factors of the RSP,which effectively avoids the generation of infeasible solutions.On the other hand,the pre-selection strategy aims to reduce the computational burden of PACS and to fast obtain a higher-quality solution.To evaluate the performance of the proposed novel PACS in solving the new integrated RSP model,a set of test cases with different sizes is conducted.Experimental results and comparisons show the effectiveness and efficiency of the PACS algorithm,which can significantly outperform other state-of-the-art algorithms.

Container-Based Internet of Vehicles Edge Application Migration Mechanism

Internet of Vehicles(IoV)applications integrating with edge com-puting will significantly drive the growth of IoV.However,the contradiction between the high-speed mobility of vehicles,the delay sensitivity of corre-sponding IoV applications and the limited coverage and resource capacity of distributed edge servers will pose challenges to the service continuity and stability of IoV applications.IoV application migration is a promising solution that can be supported by application containerization,a technology for seamless cross-edge-server application migration without user perception.Therefore,this paper proposes the container-based IoV edge application migration mechanism,consisting of three parts.The first is the migration trigger determination algorithm for cross-border migration and service degra-dation migration,respectively,based on trajectory prediction and traffic awareness to improve the determination accuracy.The second is the migration target decision calculation model for minimizing the average migration time and maximizing the average service time to reduce migration times and improve the stability and adaptability of migration decisions.The third is the migration decision algorithm based on the improved artificial bee colony algorithm to avoid local optimal migration decisions.Simulation results show that the proposed migration mechanism can reduce migration times,reduce average migration time,improve average service time and enhance the stability and adaptability of IoV application services.

“Smart”micro/nano container-based self-healing coatings on magnesium alloys:A review

Coating technologies are a commonly used way to protect metals against corrosion.However,with more and more severe service environments of materials,many protective coating systems often are not environmentally friendly or toxic as in the case of chromates.Based on the world’s abundant ideal magnesium(Mg)and its alloy,the smart self-healing anticorrosive coating can autonomously restore the damaged part of the coating according to the environmental changes,strengthen the corrosion protection ability,and prolong its service life.This paper reviews the research progress of smart self-healing coatings on Mg alloys.These coatings mostly contain suitable corrosion inhibitors encapsulated into micro/nano containers.Moreover,the different self-healing mechanisms and functionalities of micro/nano containers are discussed.The micro/nano containers range from inorganic nanocontainers such as mesoporous nanoparticles(silica(SiO_(2)),titanium dioxide(TiO_(2)),etc.),over inorganic clays(halloysite,hydrotalcite-like,zeolite),to organic nanocontainers such as polymer microcapsules,nanofibers,chitosan(CS)and cyclodextrin(CD),as well as,carbon materials such as graphene and carbon nanotubes and hybrids such as metal organic frameworks.The functioning of micro/nano containers can be divided in two principal groups:autonomous(based on defect filling and corrosion inhibition)and non-autonomous(based on dynamic bonds and shape memory polymers).Moreover,multi functionalities and composite applications of various micro/nano containers are summarized.At present,significant progress has been made in the preparation methods and technologies of micro/nano containers.Achieving long-term self-healing properties of coatings sensing of coating failure and early warning after self-healing function failure can be expected as the main development direction of self-healing corrosion protection coatings in the future.

Vertical Pod Autoscaling in Kubernetes for Elastic Container Collaborative Framework

Kubernetes is an open-source container management tool which automates container deployment,container load balancing and container(de)scaling,including Horizontal Pod Autoscaler(HPA),Vertical Pod Autoscaler(VPA).HPA enables flawless operation,interactively scaling the number of resource units,or pods,without downtime.Default Resource Metrics,such as CPU and memory use of host machines and pods,are monitored by Kubernetes.Cloud Computing has emerged as a platform for individuals beside the corporate sector.It provides cost-effective infrastructure,platform and software services in a shared environment.On the other hand,the emergence of industry 4.0 brought new challenges for the adaptability and infusion of cloud computing.As the global work environment is adapting constituents of industry 4.0 in terms of robotics,artificial intelligence and IoT devices,it is becoming eminent that one emerging challenge is collaborative schematics.Provision of such autonomous mechanism that can develop,manage and operationalize digital resources like CoBots to perform tasks in a distributed and collaborative cloud environment for optimized utilization of resources,ensuring schedule completion.Collaborative schematics are also linked with Bigdata management produced by large scale industry 4.0 setups.Different use cases and simulation results showed a significant improvement in Pod CPU utilization,latency,and throughput over Kubernetes environment.

Nonlinear semi-analytical modeling of liquid sloshing in rectangular container with horizontal baffles

A nonlinear semi-analytical scheme is proposed for investigating the finiteamplitude nonlinear sloshing in a horizontally baffled rectangular liquid container under the seismic excitation.The sub-domain method is developed to analytically derive the modal behaviors of the baffled linear sloshing.The viscosity dissipation effects from the interior liquid and boundary layers are considered.With the introduction of the generalized time-dependent coordinates,the surface wave elevation and velocity potential are represented by a series of linear modal eigenfunctions.The infinite-dimensional modal system of the nonlinear sloshing is formulated based on the Bateman-Luke variational principle,which is further reduced to the finite-dimensional modal system by using the NarimanovMoiseev asymptotic ordering.The base force and overturning moment induced by the nonlinear sloshing are derived as the functions of the generalized time-dependent coordinates.The present results match well with the available analytical,numerical,and experimental results.The paper examines the surface wave elevation,base force,and overturning moment versus the baffle parameters and excitation amplitude in detail.

Container Instrumentation and Enforcement System for Runtime Security of Kubernetes Platform with eBPF

Containerization is a fundamental component of modern cloud-native infrastructure,and Kubernetes is a prominent platform of container orchestration systems.However,containerization raises significant security concerns due to the nature of sharing a kernel among multiple containers,which can lead to container breakout or privilege escalation.Kubernetes cannot avoid it as well.While various tools,such as container image scanning and configuration checking,can mitigate container workload vulnerabilities,these are not foolproof and cannot guarantee perfect isolation or prevent every active threat in runtime.As such,a policy enforcement solution is required to tackle the problem,and existing solutions based on LSM(Linux Security Module)frameworks may not be adequate for some situations.To address this,we propose an enforcement system based on BPF-LSM,which leverages eBPF(extended Berkeley Packet Filter)technology to provide fine-grained control and dynamic adoption of security policies.In this paper,we compare different LSM implementations to highlight the challenges of current enforcement solutions before detailing the design of our eBPF-based Kubernetes Runtime Instrumentation and Enforcement System(KRSIE).Finally,we evaluate the effectiveness of our system using a real-world scenario,as measuring the performance of a policy enforcement system is a complex task.Our results show that KRSIE can successfully control containers’behaviors using LSM hooks at container runtime,offering improved container security for cloud-native infrastructure.

Container Based Nomadic Vehicular Cloud Using Cell Transmission Model

Nomadic Vehicular Cloud(NVC)is envisaged in this work.The predo-minant aspects of NVC is,it moves along with the vehicle that initiates it and functions only with the resources of moving vehicles on the heavy traffic road without relying on any of the static infrastructure and NVC decides the initiation time of container migration using cell transmission model(CTM).Containers are used in the place of Virtual Machines(VM),as containers’features are very apt to NVC’s dynamic environment.The specifications of 5G NR V2X PC5 interface are applied to NVC,for the feature of not relying on the network coverage.Nowa-days,the peak traffic on the road and the bottlenecks due to it are inevitable,which are seen here as the benefits for VC in terms of resource availability and residual in-network time.The speed range of high-end vehicles poses the issue of dis-connectivity among VC participants,that results the container migration failure.As the entire VC participants are on the move,to maintain proximity of the containers hosted by them,estimating their movements plays a vital role.To infer the vehicle movements on the road stretch and initiate the container migration prior enough to avoid the migration failure due to vehicles dynamicity,this paper proposes to apply the CTM to the container based and 5G NR V2X enabled NVC.The simulation results show that there is a significant increase in the success rate of vehicular cloud in terms of successful container migrations.

Scale Breeding and Reproduction Technique of Ficus tikoua Bur.Container Seedlings

Based on the principle of asexual reproduction,a kind of scale breeding and reproduction technique of Ficus tikoua Bur.container seedlings was explored by using the characteristics of strong adaptability to the environment and fast growth and reproduction.Using non-woven bag as a breeding container for seedlings,the scale breeding and reproduction technique of F.tikoua container seedlings was summarized through the important links of seedling bed construction,seedling collection,soil configuration,container selection,cutting cultivation,field management,and disease and pest control.This technique can achieve differential,massive and sustainable efficient breeding and reproduction of F.tikoua seedlings in a short time.

育苗容器对紫叶紫薇容器苗生长、开花及生理的影响

【目的】探讨育苗容器类型和规格对紫叶紫薇容器苗生长、开花及生理的影响,筛选出培育紫叶紫薇容器苗的适宜育苗容器,为高效培育紫薇容器苗提供理论依据。【方法】以紫叶紫薇优良新品种‘丹红紫叶’2年生苗木为研究材料,选用黑色塑料营养杯(C1)、白色无纺布美植袋(C2)、黑色控根容器(C3)3个类型以及16×16(D1)、21×21(D2)、25×25(D3)3种规格(直径×高,cm),组成9种容器组合处理,测定不同处理容器苗生长、开花及生理指标。【结果】(1)不同育苗容器处理对紫叶紫薇容器苗的生长、开花及生理指标均影响显著,同一容器类型苗木的生长、根系、生物量、花期、花径、花序、可溶性蛋白含量、可溶性糖含量、相对叶绿素含量、净光合速率、气孔导度、蒸腾速率等指标均随着育苗容器规格的增大而显著增加。(2)地径生长量、总根长、总根表面积、总根体积、根尖数、地上部干质量、地下部干质量、总干质量、花期均以C3D3处理最大,比最小的C1D1处理分别显著提高817.12%、108.12%、94.60%、75.66%、144.14%、135.67%、228.45%、164.65%、34.48%;苗高生长量、冠幅生长量、叶面积、花序长和宽均以C1D3处理最高,比最低的C1D1处理分别显著提高116.05%、81.39%、114.95%、70.44%和65.79%;相对叶绿素含量、水分利用效率均以C3D3处理最大,可溶性蛋白和可溶性糖含量、净光合速率、气孔导度均以C1D3处理最高;胞间CO_(2)浓度、水分利用效率在各处理之间无显著差异。(3)各处理隶属函数法综合评价得分排序为:C3D3>C1D3>C2D3>C3D2>C2D2>C1D2>C2D1>C3D1>C1D1。【结论】黑色控根容器在地径生长量、根系生长指标、生物量、花期和花径、叶绿素相对含量及净光合速率方面表现最佳;紫叶紫薇2年生苗的最适宜育苗容器是直径25 cm、高25 cm的黑色控根容器。

油水分离技术的研究进展

综述了含油废水的定义､油的存在形态､油水分离技术以及吸油材料的研究进展。油水分离技术包括物理分离法､化学分离法､物理化学分离法以及组合工艺等。阐述了各种油水分离技术的基本原理､流程和特点,综合比较分析发现,应依据含油废水中油品的性质及存在形式选择合适的油水分离技术,并且兼顾经济效益。组合工艺是油水分离的发展趋势;高性能低成本油水分离材料以及油水分离设备的研发是未来油水分离技术发展的重点。

不同配方基质对枳容器苗生长的影响

为了筛选适宜枳砧木繁育的基质,采用红壤土、椰糠、泥炭、有机肥以不同比例配比组成23种基质用于枳容器苗培养,比较了不同基质上植株的株高、茎粗、根总长、根表面积、根直径、根体积、根尖数、地上部分鲜质量、地下部分鲜质量、地上部分干质量、地下部分干质量差异。结果表明,S15(红壤土∶椰糠∶泥炭:有机肥=7∶2∶0∶1,体积比,下同)基质能提高枳苗木的茎粗、株高和地下部分干质量,分别比CK(红壤土)高出67.40%、86.79%和82.05%;S7(椰糠∶有机肥=7∶3)基质提高了植株根总长,比CK高出51.30%;S11(椰糠∶泥炭=7∶3)基质提高了地下部分鲜质量和地上部分干质量,分别比CK高出105.48%和207.14%;S14(椰糠∶泥炭=5∶5)基质提高了枳苗木地下部分干质量,比CK高出了74.35%。结合考虑成本,筛选S15(红壤土∶椰糠∶泥炭∶有机肥=7∶2∶0∶1)基质为枳容器苗繁育的最适基质。

钢铁工业含锌尘泥回转窑处置技术的应用进展

钢铁冶炼过程(炼铁、炼钢)会产生大量的含锌尘泥,该尘泥不宜直接返回炼铁工序,一般以厂内长期堆存或外委等方式进行处理。随着我国钢铁企业“固废不出厂”“循环经济”“绿色制造”等新理念的深入推进,在钢铁厂内部采用新型回转窑技术直接处置含锌尘泥成为大势所趋。本文介绍了传统回转窑处置含锌尘泥技术的工艺流程,从原料、生产过程和产品特点等方面分析其不足,提出采用原料造球、多喷孔分级进风等创新技术的新型回转窑处置技术,该技术明显提高了回转窑处置能力,缓解了回转窑结圈,已相继在永锋钢铁、八一钢铁、诚钰环保等钢铁企业和环保公司稳定运行,产生了良好的经济与社会效益。该技术在多固废协同处置、热渣干式冷却等方面具备应用前景。

温胆汤含药血清对10 mmol/L谷氨酸环境下星型胶质细胞PI3K、Akt、mTOR表达的影响

目的 探讨温胆汤含药血清对10 mmol/L谷氨酸诱导的大鼠星型胶质细胞凋亡、周期及磷脂酰肌醇3-激酶(phosphoinositide 3-kinase, PI3K)、蛋白激酶B(protein kinase B,Akt)、哺乳动物雷帕霉素靶蛋白(mammalian target of rapamycin, mTOR)表达的影响。方法 将60只SPF级SD雄性大鼠随机分为5组,其中正常组20只,氯氮平组和温胆汤高、中、低剂量组各10只。正常组予20 g/kg 0.9%氯化钠溶液灌胃,氯氮平组予氯氮平原药20 mg/kg灌胃,温胆汤高、中、低剂量组分别予40、20、10 g/kg温胆汤灌胃,1次/d,共8 d。处死大鼠后取血,离心取血清,灭活除菌,EP管分装备用。将大鼠星型胶质细胞分为正常血清组、模型血清组,氯氮平含药血清组和温胆汤高、中、低剂量含药血清组,除正常血清组外,其余各组予10μmol/mL谷氨酸处理48 h后,流式细胞仪检测细胞凋亡和细胞周期;Western bloting、Real-time PCR分别测定细胞PI3K、Akt、mTOR蛋白和mRNA表达。结果 温胆汤含药血清可明显降低谷氨酸环境下大鼠星型胶质细胞凋亡率(P<0.01)和G0/G1期细胞占比(P<0.05),升高S期及G2/M期细胞占比;降低细胞P-P13K/P13K、P-ATK/AKT、P-mTOR/mTOR蛋白表达比值(温胆汤低剂量血清组除外,P<0.05)和细胞PI3K、Akt、mTOR mRNA表达(温胆汤低剂量血清组除外,P<0.01)。结论 温胆汤含药血清可有效调节大鼠星形胶质细胞PI3K、Akt、mTOR表达,达到保护神经细胞的目的,这可能是温胆汤治疗精神分裂症的作用机制之一。

基于主动探测的Web容器探测识别方法

随着工业互联网的飞速发展,各类Web容器的广泛使用呈现不断增长的趋势,然而,这也使得Web容器资产管理的问题变得更加复杂.随之而来的是诸多网络安全风险和潜在隐患,对于这些挑战,提升网络安全防御水平显得尤为迫切.为了解决这一问题,本文引入了一种新的基于主动探测的Web容器探测识别方法.在探测阶段,采用了一种先进的Web容器探针构建方法,通过此方法构建了Web容器探针.这个探针在识别阶段发挥关键作用,借助一种基于负载内容的Web容器识别方法,通过协议解码技术,实现了对Web容器的高度准确的识别.通过结合这两种先进的识别方法,成功识别了4种不同类型的Web容器,并且提升了精度,能够精确地区分这些Web容器的各个版本,总计实现了10个版本的准确识别.通过这种先进的主动探测方法,企业可以更好地了解和管理其Web容器资产,降低网络安全风险,并确保网络系统的稳定性和安全性.

基于计算机视觉的常用玻璃量器自动检定装置

玻璃量器作为常规配套设备,其需求量日益增长,常用玻璃量器的检定任务越来越重,传统的人工检定已不能满足日益增长的业务需求。该文提出了一种图像法和反馈控制技术相结合的容量示值检定自动化技术,即一种基于图像处理的常用玻璃量器检定自动化装置,主要解决加液自动化功能、容量示值读数自动化功能。开发集数据采集、处理、原始记录生成、报告打印等多功能于一体的软件系统。

麝香黄芪复方滴丸含药血清促进骨髓间充质干细胞增殖分化

背景:骨髓间充质干细胞(bone marrow mesenchymal stem cells,BMSCs)已被广泛用于治疗神经系统疾病,但由于血脑屏障的限制以及干细胞在受损部位存活率、分化率低,导致治疗效果有限。目的:探讨麝香黄芪复方滴丸含药血清对BMSCs增殖、迁移和向星形胶质细胞分化的影响。方法:SD雄性大鼠连续灌胃麝香黄芪复方滴丸5 d后进行腹主动脉取血,分离血清备用。采用CCK-8法检测体积分数5%,10%,20%含药血清对BMSCs增殖的影响;划痕实验观察体积分数10%含药血清对BMSCs横向迁移的影响;Transwell小室培养BMSCs,用结晶紫染色和DAPI核染色观察体积分数10%含药血清对BMSCs纵向迁移的影响;用含体积分数10%含药血清的诱导液或与星形胶质细胞共培养观察BMSCs向星形胶质细胞分化情况。结果与结论:①体积分数10%和20%含药血清在第2,3天促进细胞增殖更明显,且两种体积分数无统计学差异;②在划痕30,48 h时,10%含药血清组BMSCs迁移量显著高于对照组;③10%含药血清组BMSCs穿过Transwell小室滤过膜的数量高于对照组;④体积分数10%含药血清可能促进BMSCs向星形胶质细胞方向分化,但分化作用较弱,星形胶质细胞能进一步促进含药血清诱导BMSCs向星形胶质细胞方向分化;⑤结果表明,体积分数10%含药血清能促进BMSCs体外增殖、迁移;与星形胶质细胞共培养可能促进BMSCs向星形胶质细胞方向分化。

纳米颗粒改变碳酸盐岩凝析气藏储层润湿性评价

为了改变凝析气藏近井储层润湿性,有效解除凝析气反凝析伤害,采用X射线衍射、低温N 2吸附和扫描电子显微镜观测等方法,对氟化SiO 2纳米颗粒结构特征进行了研究,评价了不同矿物含量碳酸盐岩岩心对氟化SiO 2纳米颗粒的吸附程度;通过开展接触角测定、自发渗吸、岩心驱替单相和两相渗流实验,研究了纳米颗粒吸附前后岩石润湿性、自发渗吸效率、单相渗流压差、油气两相相对渗透率曲线以及凝析油采收率的变化。结果显示:氟化SiO 2纳米颗粒形状近似均匀球体,平均颗粒粒径为30.34 nm,平均孔径为20.00 nm;氟化SiO 2纳米颗粒在碳酸盐岩表面的吸附量随孔隙度的增大而增加,但在低渗透岩心中,吸附量和润湿接触角的变化幅度还随方解石含量的增加而增大;纳米颗粒吸附后岩石的油气两相共渗区变宽,等渗点向左上方移动,最大油气相对渗透率均大幅增加,束缚水饱和度和残余油饱和度明显降低;氟化SiO 2纳米颗粒能在约10 min内吸附在岩石表面,将强亲油、强亲水的液体润湿型岩石转变为中间(气体)润湿型,降低孔隙中毛管压力和凝析油渗流阻力,提高气、油两相的相对渗透率,达到解堵提产增效的效果。该研究结果具有极大的现场应用推广价值。

不同基质对‘丹红紫叶’紫薇容器苗开花和光合特性的影响

[目的]为探究不同育苗基质对‘丹红紫叶’紫薇容器苗开花及光合特性的影响,筛选出紫薇容器苗培育的适宜育苗基质,为紫薇容器苗高效培育提供理论指导。[方法]以‘丹红紫叶’紫薇2年生容器苗为研究对象,用圃地土、泥炭、珍珠岩、蛭石不同比例配制16种育苗基质处理,以圃地土为对照(CK)基质,测定不同处理对容器苗开花及光合特性的影响。[结果]不同育苗基质对‘丹红紫叶’紫薇容器苗的开花及光合特性影响显著,T11处理的开花指标和光合特性指标综合表现最好,花期、花径、花序长和宽分别比CK增加了23d、22.63%、26.40%和30.20%,叶绿素相对含量、净光合速率、蒸腾速率、气孔导度、水分利用效率分别比CK显著提高了8.88%、413.58%、115.20%、100.00%、138.46%,T11处理的胞间CO 2浓度最低,比CK显著降低29.27%。开花指标与光合特性指标的相关性分析表明,花序与净光合速率、水分利用效率显著正相关,与胞间CO_(2)浓度显著负相关。主成分分析的综合得分最高为T11处理,最低为CK,T11处理基质配方有利于促进‘丹红紫叶’紫薇容器苗开花,提高光合效率。[结论]圃地土30%+泥炭50%+蛭石10%+珍珠岩10%的基质是‘丹红紫叶’紫薇2年生容器苗培育的最适宜基质。

轻基质配比对蚬木容器苗生长的影响

[目的]筛选适宜蚬木容器苗生长的育苗基质配方,为其容器苗的培育提供依据。[方法]以椰糠、泥炭土、珍珠岩和蛭石为原料,按照9∶1∶0∶0、8∶2∶0∶0、7∶3∶0∶0、8∶1∶0.5∶0.5、7∶1∶1∶1、6∶1∶1.5∶1.5的体积比配制基质(L_(1)~L_(6)),分别以椰糠(CK_(1))、黄心土(CK_(2))和椰糠+3.0 kg·m^(-3)缓释肥(CK 3)为对照。采用单因素随机区组设计,比较不同配比基质的理化性质;测定不同配比基质处理下蚬木容器苗的生长指标、叶面积和SPAD值,并进行相关性分析与隶属函数值计算。[结果](1)L_(1)~L_(6)处理基质的干容重为0.128~0.192 g·cm^(-3),总孔隙度为81.207%~86.497%,pH值为6.530~6.995,全氮、全磷和全钾含量分别介于1.135~4.830、0.121~0.274和4.512~6.709 g·kg^(-1)之间,均适合蚬木生长。(2)2021年3月L_(1)~L_(6)处理平均苗高为28.58~32.29 cm,平均地径为5.02~5.32 mm,各处理苗木的生长总体上优于CK_(1)和CK_(2)。(3)相关性分析表明,苗木地下部分鲜物质量、地下部分干物质量、一级侧根数与基质干容重、湿容重呈极显著负相关,与总孔隙度、非毛管孔隙度、pH值呈极显著或显著正相关,一级侧根数与全磷含量呈显著正相关。(4)隶属函数值综合评价结果表明,不同配比基质处理下苗木质量平均得分依次为:L_(6)>L_(2)>CK 3>L_(1)>CK_(1)>L_(3)>L_(4)>L_(5)>CK_(2)。[结论]比较隶属函数值评分结果,并综合不同基质的理化性质及其对苗木生长的影响,选择椰糠∶泥炭土∶珍珠岩∶蛭石为6∶1∶1.5∶1.5和8∶2∶0∶0的配比基质(L_(6)和L_(2)处理)作为蚬木容器苗的最适宜基质。