Overcoming the global sustainability challenges of logistics requires applying solutions that minimize the negative effects of logistics activities.The most efficient way of doing so is through intermodal transportati...Overcoming the global sustainability challenges of logistics requires applying solutions that minimize the negative effects of logistics activities.The most efficient way of doing so is through intermodal transportation(IT).Current IT systems rely mostly on road,rail,and sea transport,not inland waterway transport.Developing dry port(DP)terminals has been proven as a sustainable means of promoting and utilizing IT in the hinterland of seaport container terminals.Conventional DP systems consolidate container flows from/to seaports and integrate road and rail transportation modes in the hinterland which improves the sustainability of the whole logistics system.In this article,to extend literature on the sustainable development of different categories of IT terminals,especially DPs,and their varying roles,we examine the possibility of developing DP terminals within the framework of inland waterway container terminals(IWCTs).Establishing combined road–rail–inland waterway transport for observed container flows is expected to make the IT systems sustainable.As such,this article is the first to address the modelling of such DP systems.After mathematically formulating the problem of modelling DP systems,which entailed determining the number and location of DP terminals for IWCTs,their capacity,and their allocation of container flows,we solved the problem with a hybrid metaheuristic model based on the Bee Colony Optimisation(BCO)algorithmand themeasurement of alternatives and ranking according to compromise solution(i.e.,MARCOS)multi-criteria decision-making method.The results from our case study of the Danube region suggest that planning and developingDP terminals in the framework of IWCTs can indeed be sustainable,as well as contribute to the development of logistics networks,the regionalisation of river ports,and the geographic expansion of their hinterlands.Thus,the main contributions of this article are in proposing a novel DP concept variant,mathematically formulating the problems of its modelling,and developin展开更多
【目的】制备出一套针对港口航道致病性细菌检测的基因芯片,为港口航道基因芯片检测技术的研究及应用打下基础。【方法】采用常规方法提取目标菌株基因组DNA,以16S r DNA通用引物和gyr B基因保守区引物进行PCR扩增,使用Allele ID 6.0和A...【目的】制备出一套针对港口航道致病性细菌检测的基因芯片,为港口航道基因芯片检测技术的研究及应用打下基础。【方法】采用常规方法提取目标菌株基因组DNA,以16S r DNA通用引物和gyr B基因保守区引物进行PCR扩增,使用Allele ID 6.0和Array Designer 4.25对扩增获得的目的片段进行寡核苷酸探针设计,经PCR筛选验证,目标探针以氨基化修饰后通过芯片点样仪点制在醛基玻片上;优化芯片杂交固定条件,并用于港口航道的水样检测,以验证微阵列基因芯片的检测效果。【结果】优化后的芯片杂交固定条件为探针点样浓度10μmol/L、紫外交联时间2.0 h、杂交温度65℃,有效提高了基因芯片检测的灵敏度,与传统检测方法相比可实现快速、高通量、准确的目标。研制的微阵列基因芯片可特异性检测出港口航道中含有的霍乱弧菌(Vibrio cholerae)、阴沟肠杆菌(Emterobacter cloacae)、溶藻弧菌(V.alginolytivus)、哈氏弧菌(V.harveyi)、副溶血弧菌(V.parahemolyticus)、嗜水气单胞菌(Aeromonas hydrophila)和创伤弧菌(V.vulnificus)等7株致病性细菌,且均未出现非特异性杂交。【结论】针对港口航道致病性细菌建立的微阵列基因芯片检测技术具有特异性强、灵敏度高、快速便捷的特点,可用于港口航道及周边地区的海洋环境监测和海产品质量安全检测。展开更多
文摘Overcoming the global sustainability challenges of logistics requires applying solutions that minimize the negative effects of logistics activities.The most efficient way of doing so is through intermodal transportation(IT).Current IT systems rely mostly on road,rail,and sea transport,not inland waterway transport.Developing dry port(DP)terminals has been proven as a sustainable means of promoting and utilizing IT in the hinterland of seaport container terminals.Conventional DP systems consolidate container flows from/to seaports and integrate road and rail transportation modes in the hinterland which improves the sustainability of the whole logistics system.In this article,to extend literature on the sustainable development of different categories of IT terminals,especially DPs,and their varying roles,we examine the possibility of developing DP terminals within the framework of inland waterway container terminals(IWCTs).Establishing combined road–rail–inland waterway transport for observed container flows is expected to make the IT systems sustainable.As such,this article is the first to address the modelling of such DP systems.After mathematically formulating the problem of modelling DP systems,which entailed determining the number and location of DP terminals for IWCTs,their capacity,and their allocation of container flows,we solved the problem with a hybrid metaheuristic model based on the Bee Colony Optimisation(BCO)algorithmand themeasurement of alternatives and ranking according to compromise solution(i.e.,MARCOS)multi-criteria decision-making method.The results from our case study of the Danube region suggest that planning and developingDP terminals in the framework of IWCTs can indeed be sustainable,as well as contribute to the development of logistics networks,the regionalisation of river ports,and the geographic expansion of their hinterlands.Thus,the main contributions of this article are in proposing a novel DP concept variant,mathematically formulating the problems of its modelling,and developin
