Effects of time-gap settings of adaptive cruise control (ACC) on driving performance and subjective acceptance in a bus driving simulator

A study was conducted to investigate the effects of time-gap settings and contents of secondary tasks on a fix-based bus driving simulator on drivers’ performance while reclaiming control from ACC in a car-following scenario of emergency brake by the lead vehicle. Thirty professional bus drivers drove on the simulator with the scenario of highway traffic flow under 12 random time-gap settings: from 0.64 s to 2.40 s with the interval of 0.16 s. As for the effects of secondary tasks, subjects were evenly divided into three conditions: no secondary task interference, simple secondary task, and complex task. The results demonstrated that different safety demarcations of time-gaps on subjective acceptance and driving performance can be found out. The integrated demarcations separated time-gaps into divisions that represented different levels of danger. It revealed that the safer time-gaps for different situations were: longer than 1.60 s for none-secondary task distraction and longer than 2.08 s for being continuously distracted by secondary tasks. The demand for simple tasks is relatively high, so a larger time-gap is needed for the driver to remain safe. This research has implications for the time-gap selection of ACC and effects of secondary task distraction on buses. A next logical step will focus on determining time-gaps for lead vehicles on curves or slopes, when multiple vehicles are present ahead, and modeling driver behavior and performance with ACC for cars, buses, and other types of vehicles.     

Handling data uncertainties in event tree analysis

Event tree analysis (ETA) is an established risk analysis technique to assess likelihood (in a probabilistic context) of an accident. The objective data available to estimate the likelihood is often missing (or sparse), and even if available, is subject to incompleteness (partial ignorance) and imprecision (vagueness). Without addressing incompleteness and imprecision in the available data, ETA and subsequent risk analysis give a false impression of precision and correctness that undermines the overall credibility of the process. This paper explores two approaches to address data uncertainties, namely, fuzzy sets and evidence theory, and compares the results with Monte Carlo simulations. A fuzzy-based approach is used for handling imprecision and subjectivity, whereas evidence theory is used for handling inconsistent, incomplete and conflicting data. Application of these approaches in ETA is demonstrated using the example of an LPG release near a processing facility.     

复合材料静态处理煤矿高浓度含锰废水的研究

针对目前云南省某煤矿排放废水中Mn~(2+)超标的问题,利用一种新型复合材料进行除锰试验.该复合材料是纳米分子筛与硅藻土经合理复配后,掺入复配絮凝荆形成的.试验中优化了不同材料的复合方式、絮凝剂的复配比例与用量.利用复配的多孔材料,对云南某煤矿含有大量悬浮物、Mn~(2+)质量浓度为5.32 mg/L的黑色废水及Mn~(2+)质量浓度为42.mg/L的红褐色废水进行了Mn~(2+)去除效果研究.结果表明,黑色废水中Mn~(2+)去除率达到70%,出水pH值为7.9;红褐色废水中Mn~(2+)去除率达到91.0%,出水pH值为7.1.与此同时,还研究了废水中Fe~(3+)、固体悬浮物(SS)对Mn~(2+)去除效果的影响,废水中Fe~(3+)的存在使pH降低,并与Mn~(2+)产生竞争吸附,对复合材料除锰有不利影响,而SS的存在对Mn~(2+)的去除效果没有显著的影响.     

公路路侧安全等级评价与分级路侧防护

为降低路侧事故率,提高路侧安全设计水平,综合分析影响交通安全的因素及其影响程度,提出了路侧危险度的概念,建立了基于灰色聚类理论的4级路侧安全等级评价方法.对评价对象的路侧安全状况及其变化趋势进行客观描述,进而提出了不同危险级别情况下应设置的防护设施.本研究对部分案例进行简要剖析,为工程技术人员和决策者识别公路安全整治的备选路段、确定安全改善项目实施的优先级、合理设置公路安全防护设施提供了理论依据.     

电磁辐射与电磁防护

本文讨论了电气进程带来的电磁辐射污染及其防护问题。从电磁辐射的来源、作用人群、对人体的影响方式阐述了电磁辐射防护的必要性。介绍了电磁辐射暴露限值标准、电磁辐射防护原理、防护装备标准及产品现状。提出了现有电磁辐射暴露限值标准及防护装备产品标准的不足,指出现阶段应进行的进一步工作：考虑非致热效应对人体的影响,完善统一电磁辐射暴露限值标准;增加电磁辐射防护装备标准覆盖面,以利加强监管,进一步规范产品市场。     

煤与瓦斯突出影响因素评价分析的模糊层次分析方法

在综合分析煤与瓦斯突出的影响因素的基础上,采用模糊层次分析法（FAHP）建立了煤与瓦斯突出模糊层次分析模型并进行了实例分析,确定了煤与瓦斯突出各影响因素的权重系数。评价结果表明：地应力、地质构造、瓦斯压力等是影响煤与瓦斯突出的主要因素。为制定相应的煤与瓦斯突出防治措施,提供了科学的理论依据和切合实际情况的评价方法。     

化工园区接警处警与应急值守系统的研究

本文分析了目前常用的接警处警系统,针对化工园区安全管理的工作需要,研究化工园区综合接警中心接警处警工作的特点和要求,分析化工园区接警中心工作体系和功能要求,设计开发了化工园区接警处警与应急值守系统。文中对系统体系架构、系统建设关键问题和所需的支持系统进行了详细介绍。该系统集成了地理信息系统的功能,提供化工园区事故接警、通知和处置功能,应用重大危险源监管信息系统、应急预案综合管理系统、综合监控系统等业务系统作为数据支持,为化工园区接警中心管理园区突发事件、实现事故快速反应和及时应对提供技术支持。     

Carbon dioxide emissions from cities in China based on high resolution emission gridded data

Based on the China high resolution emission gridded data (1 km spatial resolution), this article is aimed to create a Chinese city carbon dioxide (CO₂) emission data set using consolidated data sources as well as normalized and standardized data processing methods. Standard methods were used to calculate city CO₂ emissions, including scope 1 and scope 2. Cities with higher CO₂ emissions are mostly in north, northeast, and eastern coastal areas. Cities with lower CO₂ emissions are in the western region. Cites with higher CO₂ emissions are clustered in the Jing-Jin-Ji Region (such as Beijing, Tianjin, and Tangshan), and the Yangtze River Delta region (such as Shanghai and Suzhou). The city per capita CO₂ emission is larger in the north than the south. There are obvious aggregations of cities with high per capita CO₂ emission in the north. Four cities among the top 10 per capita emissions (Erdos, Wuhai, Shizuishan, and Yinchuan) cluster in the main coal production areas of northern China. This indicates the significant impact of coal resources endowment on city industry and CO₂ emissions. The majority (77%) of cities have annual CO₂ emissions below 50 million tons. The mean annual emission, among all cities, is 37 million tons. Emissions from service-based cities, which include the smallest number of cities, are the highest. Industrial cities are the largest category and the emission distribution from these cities is close to the normal distribution. Emissions and degree of dispersion, in the other cities (excluding industrial cities and service-based cities), are in the lowest level. Per capita CO₂ emissions in these cities are generally below 20 t/person (89%) with a mean value of 11 t/person. The distribution interval of per capita CO₂ emission within industrial cities is the largest among the three city categories. This indicates greater differences among per capita CO₂ emissions of industrial cities. The distribution interval of per capita CO₂ emission of other cities is the lowest, indicating smaller differences of per capita CO₂ emissions among this city category. Three policy suggestions are proposed: first, city CO₂ emission inventory data in China should be increased, especially for prefecture level cities. Second, city responsibility for emission reduction, and partitioning the national goal should be established, using a bottom-up approach based on specific CO₂ emission levels and potential for emission reductions in each city. Third, comparative and benchmarking research on city CO₂ emissions should be conducted, and a Top Runner system of city CO₂ emission reduction should be established.     

长三角城市群“空间流”网络结构特征——基于公路运输、火车客运及百度指数的综合分析

信息技术的应用与社会信息技术的传输,使大量的要素(人流、物流、信息流)在城市群空间内集聚与扩散,加密城市群空间内城市联系。在基于公路运输、普通列车、高速列车以及百度指数4个要素的综合分析基础上,对长三角城市群"空间流"网络结构特征进行探析。研究结果表明:(1)长三角城市群区域内城市联系虽具备了网络化规模,但城市间的联系不均衡,以上海、南京、杭州等城市为多中心的协调网络发展格局特征明显;(2)长三角城市群16个核心城市"空间流"特征呈现三角形网络结构,其三角形的顶角分别由上海(沪)、南京(宁)与杭州(杭)3个核心节点城市构成。在空间结构内部,形成若干次级城市网络连线;在空间分布上,北翼网络化程度较高于南翼线性联系程度,区域联系强度以"沪—宁"、"沪—杭"沿线向两侧递减;(3)上海、南京、杭州、苏州、无锡5个核心城市排名处于网络中心的前列,扬州、南通、泰州、舟山等周边城市相对靠后,这与区域经济发展过程的"吸虹效应"有关,随着区域经济一体化程度的加深,中心城市会向周边地区提供服务与经济辐射,完善整个长三角城市群网络体系。     

Characterization of hard- and softwood biochars pyrolyzed at high temperature

A wide range of waste biomass/waste wood feedstocks abundantly available at mine sites provide the opportunity to produce biochars for cost-effective improvement of mine tailings and contaminated land at metal mines. In the present study, soft- and hardwood biochars derived from pine and jarrah woods at high temperature (700 °C) were characterized for their physiochemical properties including chemical components, electrical conductivity, pH, zeta potential, cation-exchange capacity (CEC), alkalinity, BET surface area and surface morphology. Evaluating and comparing these characteristics with available data from the literature have affirmed the strong dictation of precursor type on the physiochemical properties of the biochars. The pine and jarrah wood feedstocks are mainly different in their proportions of cellulose, hemicellulose and lignin, resulting in biochars with heterogeneous physiochemical properties. The hardwood jarrah biochar exhibits much higher microporosity, alkalinity and electrostatic capacity than the softwood pine. Correlation analysis and principal component analysis also show a good correlation between CEC–BET–alkalinity, and alkalinity–ash content. These comprehensive characterization and analysis results on biochars’ properties from feedstocks of hardwood (from forest land clearance at mine construction) and waste pine wood (from mining operations) will provide a good guide for tailoring biochar functionalities for remediating metal mine tailings. The relatively inert high-temperature biochars can be stored for a long term at mine closure after decades of operations.