基于专利数据分析的污染地下水修复技术发展现状及趋势分析

为明确地下水污染修复技术在世界范围的研究布局和发展态势,本研究基于智慧芽全球专利数据库对1989-2018年地下水污染修复技术专利进行计量学统计,并探讨该技术的研究布局、研究重点及授权趋势。结果显示,从申请量来看,世界范围内地下水污染修复技术涉及的申请量逐渐增长,但绝对申请量和专利授权比相对较低,地下水污染修复技术研发的重视程度依然不够,有待进一步加强;中国是该技术领域主要专利申请国,也是最大的技术来源国;科研单位在该领域的研发实力显著高于企业机构。基于以上研究,认为今后应加强研发,并且创造高效经济的地下水污染修复技术,注重科研机构与企业单位合作及已有专利成果的转化,促进专利的市场应用,使其发挥更大的社会和经济效益。     

Emergency evacuation model assuming leakage of toxic substances in a chemical plant

Preparedness of emergency evacuation for the leakage of toxic substances in chemical plants is very important in order to reduce damage. In order to implement an emergency evacuation properly, it is necessary to comprehensively and concretely determine the conditions of the leakage and atmospheric conditions and predict the consequences of the dispersed gases. Repeated training for emergencies is also essential. In order to realize effective evacuation, a prediction model of the evacuation area that anyone can use to obtain the same results both accurately and promptly is developed in the present study. The prediction model is designed such that the wind speed and atmospheric conditions are automatically set, and the leakage rate is the only input parameter, so that anyone can use the model easily. In addition, the model can also predict the atmospheric parameters for up to 3 h and can calculate the evacuation distance so that smooth evacuation can be achieved for changing atmospheric conditions. Finally, the evacuation area is defined by statistically analysed wind fluctuations, and a series of emergency evacuation measures is implemented.     

G3技术集成及其在青藏铁路信息化中的应用研究

青藏铁路是世界上海拔最高、线路最长的高原铁路。铁路沿线环境恶劣(严寒缺氧,气候恶劣、多年冻土地段长、生态环境脆弱等)。因此,不仅要求在工程建设过程中采用先进的设备和技术手段,而且,要求在线路建成后实现其运营、维修管理信息化。笔者提出采用G3(包括全球定位系统GPS、地理信息系统GIS、全球移动通讯系统GSM)技术集成来确保建成后线路的安全运营。在集成系统中:GPS主要用于实施、快速地获取空间目标的三维坐标;GIS为系统集成提供基础平台,对空间信息进行综合分析和综合处理;GSM实现信息的无线、实时的传输。采用G3技术可以实现列车行车信息的实时发布、传输与接收,实现数据共享,从而保证行车安全。     

Computer-Intensive Methods in Traffic Safety Research

The analysis of traffic safety data archives has improved markedly with the development of procedures that are heavily dependent upon computers. Three such procedures are described here. The first procedure involves using computers to assist in the identification and correction of invalid data. The second procedure makes greater computational demands, and involves using computerized algorithms to fill in the “gaps” that typically occur in archival data when information regarding key variables is not available. The third and most computer-intensive procedure involves using data mining techniques to search archives for interesting and important relationships between variables. These procedures are illustrated using examples from data archives that describe the characteristics of traffic accidents in the USA and Australia.     

Is the Water Footprint an Appropriate Tool for Forestry and Forest Products: The Fennoscandian Case

The water footprint by the Water Footprint Network (WF) is an ambitious tool for measuring human appropriation and promoting sustainable use of fresh water. Using recent case studies and examples from water-abundant Fennoscandia, we consider whether it is an appropriate tool for evaluating the water use of forestry and forest-based products. We show that aggregating catchment level water consumption over a product life cycle does not consider fresh water as a renewable resource and is inconsistent with the principles of the hydrologic cycle. Currently, the WF assumes that all evapotranspiration (ET) from forests is a human appropriation of water although ET from managed forests in Fennoscandia is indistinguishable from that of unmanaged forests. We suggest that ET should not be included in the water footprint of rain-fed forestry and forest-based products. Tools for sustainable water management should always contextualize water use and water impacts with local water availability and environmental sensitivity.     

应急场景下矿工脑电成分特征的实验研究

为探究矿工在应急场景下的脑电成分变化规律,研究通过脑电实验的方法对矿工在观看应急与正常作业场景下文字与图片素材的脑电数据进行分析.结果表明:矿工在实验素材的靶刺激下,ERP成分明显,且图片刺激效果强于文字,在200～400 ms时,P200,P300成分峰值最大;矿工大脑α节律不断下降,β节律不断上升,且β节律波幅面积...     

Effect of clay and organic matter type on the ecotoxicity of zinc and cadmium to the potworm Enchytraeus albidus

Clay and organic matter are considered as important parameters influencing bioavailability and ecotoxicity of metals in soils. As there exists a large variation in the type of clay and organic matter in field soils, the quantity of these variables alone may not be good indicators of metal bioavailability. To test this hypothesis, toxicity experiments with the potworm Enchytraeus albidus were conducted in artificial soils with three types of clay and seven types of organic matter, while the soil pH was kept constant. The 14d LC₅₀ of zinc and cadmium varied from 83.0 to 1140 mg Zn/kg D.W. and from 55.2 to 704 mg Cd/kg D.W., respectively, depending on the type of clay and organic matter that were used. Simultaneous measurements of the cation exchange capacity showed that this soil parameter is a better indicator of the bioavailability as it takes into account the type of clay and organic matter as well as other adsorption phases such as metal oxyhydroxides.     

全国非煤矿山总量情况统计分析及监管建议

为研究全国非煤矿山基本情况并为非煤矿山安全监管部门提供决策支撑,采用统计、对比分析等方法,以各地上报的2017年统计数据及历年安全生产年鉴为依据,对我国“十三五”期间非煤矿山总量、类型、分布以及“头顶库”、高边坡露天矿山等重点监管对象进行分析,并在此基础上提出强化重点对象精准监管、严格安全生产条件、严控建设项目准入、规范尾矿库闭库注销制度4点监管建议。分析汇总了截至2017年底我国非煤矿山总量情况的统计数据,可为非煤矿山行业的深入分析研究提供重要支撑。     

Comparison of epidemiology and injury profile between vulnerable road users and motor vehicle occupants in road traffic fatalities

Objective: Road traffic injuries (RTIs) are a major global health issue causing a global burden of mortality and morbidity. Half of all fatalities on the world’s roads are vulnerable road users (VRUs). The targeted intervention strategies based on fatality analysis focusing on VRUs can effectively contribute to reducing RTIs. This study aimed to compare VRUs and motor vehicle occupants (MVOs) in terms of epidemiology and injury profile.

Methods: We utilized a nationwide, prospective database of RTI-related mortality cases for patients who visited 23 emergency departments between January 2011 and December 2015. All fatalities due to RTIs in the prehospital phase or in-hospital were eligible, excluding patients with unknown mode of transport and those admitted to general wards. The primary and secondary outcomes were fracture injuries and visceral injuries diagnosed using the International Classification of Diseases, Tenth Revision (ICD-10). We compared fracture injuries between VRUs and MVOs using Abbreviated Injury Scale (AIS) 2? and 2+ classification.

Results: Among a total 3,694 road traffic fatalities (RTFs), 43.3% were pedestrians, followed by MVOs (27.0%), motorcyclists (18.9), bicyclists (6.6%), and agricultural vehicle users (4.2%). The elderly (>60 years old) accounted for 54.9% of VRU fatalities. RTFs occurred most frequently in the autumn and the VRU group and the MVO group showed significant differences in weekly and diurnal variation in RTFs. The injury severities (AIS 2+) of the head, neck, and thorax were significantly different between the 2 groups (P?Conclusions: Elderly pedestrians should be targeted for decreases in RTFs, and road traffic safety interventions for VRUs should be made based on the analysis of temporal epidemiology and injury profiles of RTFs.     

铁路轨道状态分析信息系统设计与实现

研究了轨道状态分析信息系统的设计与实现方法。利用检测数据作为分析轨道状态的出发点,研究轨道状态的变化趋势,在分析国内现有铁路工务管理系统中存在的数据资源分散、忽视历史数据积累等问题的基础上,阐述了构建铁路轨道状态分析信息系统的可行性和必要性,并采用数据仓库技术和地理信息系统(GIS)技术,从空间和时间两个维度分析数据,提出了建立轨道状态预测模型的趋势分析法。笔者研究的核心内容是如何在整合各类轨道动、静态检测数据及铁路运营数据的基础上,建立轨道状态预测模型,为掌握及预测轨道状态变化趋势提供可靠的分析工具。