Simulation-based severe weather-induced container terminal economic loss estimation

Container terminals play a critical role in maritime supply chains. However, they show vulnerabilities to severe weather events due to the sea–land interface locations. Previous severe weather risk analysis focused more on larger assessment units, such as regions and cities. Limited studies assessed severe weather risks on a smaller scale of seaports. This paper aims to propose a severe weather-induced container terminal loss estimation framework. Based on a container terminal operation simulation model, monthly average loss and single event-induced loss are obtained by using historical hazard records and terminal operation records as model inputs. By studying the Port of Shenzhen as the case study, we find that the fog events in March lead to the longest monthly port downtime and the highest monthly severe weather-induced economic losses in the studied port. The monthly average loss is estimated to be 30 million USD, accounting for 20% of the intact income. The worst-case scenario is found to be a red-signal typhoon attack which results in nearly 20% decrease in the month’s income. The results provide useful references for various container terminal stakeholders in severe weather risk management.     

Port-city exhaust emission model: An application to cruise and ferry operations in Las Palmas Port

Exhaust emissions cause air pollution and climate change. The exhausts of shipboard fuel combustion are equally damaging particularly, so close to the environmentally sensitive mainland and island coasts, as well as at ports due to their urbanized character. This paper estimates, for the first time, exhaust pollutants related to cruise and ferry operations in Las Palmas Port and, in an island context. Emission assessment is based on a full bottom-up model and messages transmitted by the Automatic Identification System during 2011. Results are described as a breakdown of NOx, SOx, PM_2.5, CO and CO₂, according to ship classes, operative type and time, providing valuable information to environmental policy makers in port-city areas and islands under similar conditions. It is generally concluded that vessel traffic and passenger shipping in particular are a source of air pollution in Las Palmas Port. Emission maps confirm location of hot spots in quays assigned for cruise and ferry operations. Policy recommendations encourage regular monitoring of exhaust emissions and market-based incentives supported by details on polluting and operative profiles. On the other hand, feasibility studies are suggested for automated mooring, LNG bunkering facilities and also shore-side energy services, prioritizing berthing of shipping sectors (or sub-sectors) with the highest share of exhaust emissions once their local effects have been confirmed by a dispersion, exposure and impact assessment.     

适合于感知无线电网络的动态信道分配和注水功率联合的算法

随着无线通信技术的飞速发展,传统的静态频谱分配机制与频谱实际需求之间的矛盾日益显著,频谱短缺现象日益严重.频谱资源的利用率问题成为未来移动通信发展的一大瓶颈.有效的信道分配机制能够改善无线资源的使用效率.本文将注水功率分配算法和动态信道分配算法相结合,提出一种基于小区的分布式动态信道分配算法.此算法针对感知无线电网络频谱变化的环境和多业务的环境能够提供优越的性能和自适应能力.与其他基于小区的动态信道分配算法相比,此算法考虑用户之间的公平性,显著提高频谱使用效率.     

天津港南疆港区围海方案研究

南疆港区陆域不足 ,已严重制约港口建设及功能开发。结合海河口整治及相关分析 ,提出南疆港区总体造陆规模及分期实施方案 ,并论证了泥土来源情况。     

钦州港红树林湿地沉积物重金属含量研究

文章通过对钦州港仙岛公园红树林湿地的表层沉积物进行取样分析,测定其重金属、有机质的含量,并采用地质累积指数法、潜在生态危害指数法评价沉积物中重金属的综合污染效应。评价结果表明:表层沉积物的Pb属于偏中度污染,As为轻度污染,Cd、Cr、Cu、Mn、Zn的五种重金属均值属于无污染水平;各种重金属的潜在生态危害系数大小顺序为AsPbCdMnCuCrZn,综合潜在生态风险处于轻微生态风险水平。     

天津港港口设施托管考核指标的评价分析

为了获得资源效益最大化,天津港港务设施管理中心将原有的经费管理、部分企业经营化的经营模式转化为港口设施整体托管企业化经营模式。提出了对港口设施管理的具体考核标准和计算方法。可作参考。     

基于模糊综合评价法的连云港港主航道通航环境风险评价

根据影响连云港港主航道通航安全诸因素的特征,应用模糊综合评价方法,对连云港港主航道的通航环境进行风险评价。评价目的在于通过分析影响连云港港主航道安全的因素,综合评价连云港港主航道的安全状态,并找出目前影响通航安全的主要因素,可供安全管理决策参考。     

大连港登沙河港区潮流泥沙数模试验研究

依据最新的水文、泥沙实测资料进行了统计分析,为数模计算提供参数,然后建立多重嵌套潮流数学模型,计算正常天气下工程实施前、后的海域潮流场分布情况,并在年均含沙量的风浪条件作用下计算港池航道常年回淤情况,对港池航道建成后的年淤积量进行预报,从潮流泥沙角度为登沙河港区建设提供了设计依据。计算结果表明,3个方案实施后对周边水域影响均较小,港区虽有环流但强度较低,停泊区域流速很小。外航道区域方案一横流明显小于其他2个方案。3个方案实施后,港池航道年平均淤强介于0.08～0.12 m,淤积很轻。因此,该工程是可行的。     

投入产出模型在重庆港经济贡献中的应用研究

在重庆发展总体战略部署和内陆保税港区的建设中,重庆港口被赋予了千载难逢的发展机遇和重大责任,为了更深入把握重庆港投入与城市经济互动关系,合理引导港口投资建设,促进港口可持续发展,结合投入产出模型量化分析了重庆港投入产出中港口效益和社会效益比例关系,同时预测了重庆港口的国民经济贡献率。在此过程中介绍了港口直接经济效益、间接经济效益包括的范围,提出了港口增加值的计算方法。     

基于加速混沌优化算法的支持向量机参数选择

针对支持向量机参数选择问题,以惩罚系数、不敏感系数和RBF核函数中的宽度系数为优化变量,采用Chebyshev映射代替Logistic映射产生初始混沌序列,改变原有的搜索公式及增加3次载波,提出了一种改进的加速混沌优化算法(ISCOA)。将该算法应用于人工数据集和实际数据集中,并与常规的交叉验证法进行比较。试验结果表明:在人工数据集中,采用ISCOA在时间上缩短了至少23.43%,精度上提高了至少6.31%;在实际数据集中,预测值更接近实际值,相对误差均控制在3.13%以下,该算法具有较高的预测精度和寻优效果。