Quantitative indicator of homeostatic risk perception in car following

Driving behavior is largely affected by the risk perception of drivers. On the basis of risk homeostasis theory, we regard that drivers may adjust car movement according to the perceived risks fluctuating around a target level. However, the manner by which risk perception is quantified remains unclear. We propose assumptions on the quantitative indicators of risk perception and identify a suitable quantitative indicator of risk perception in car-following process. Three risk indicators are discussed, i.e. time-to-collision (TTC), time headway (TH), and safety margin (SM). Using homeostatic features as bases, we found that SM more suitably quantifies homeostatic risk perception than TTC or TH does. Data collected from video drive recorders installed in taxis operating in Beijing are used to analyze the target risk level of SM (desired SM, or DSM) of professional drivers during the car-following process. The data collected by Ahn et al. (2004) to verify Newell’s model are converted into DSM data to further analyze the target risk level of general drivers. The DSM histogram of professional drivers shows that the standard deviation of the DSM value is 0.115, with a mean value of 0.862 and a total distribution close to the normal distribution. For a general driver, the mean value of DSM is 0.896, which is higher than that of professional drivers. This research may shed lights on the understanding of driving behavior.     

Research and application of risk and condition based maintenance task optimization technology in an oil transfer station

Oil transfer stations of PetroChina mostly scatter in Gobi, mountain areas or other sparsely populated areas, inconvenient transportation and absent professional engineers often delay the best time to repair the machines. Time-or interval-based maintenance (TBM) accounts for almost 100%, while, On-condition maintenance and other proactive maintenance are seldom adopted. TBM not only can't prevent happens of equipment fault but also cause the waste of the maintenance resource. In order to allocate maintenance resources reasonably, ascertain the minimum preventive maintenance requirement, ensure the reliability, availability and safety, this paper carries out a research on Risk and Condition Based Maintenance (RCBM) task optimization technology. Utilizing the internet of things (IOT), real-time database, signal-processing, Gray Neural Network, probability statistical analysis and service oriented architecture (SOA) technology, a Risk and Condition Based Indicator Decision-making System (RCBIDS) is built. RCBIDS integrates RCM, condition monitoring system (CMS), key performance management module, file management module, fault and defect management module, maintenance management module together, which aims to realize remote condition monitoring, maintenance technical support services (TSS), quantitative maintenance decision-making, and to ensure the Reliability, Availability, Maintainability and Safety (RAMS). The Predictive Maintenance Indicator model, reliability prediction model and Key Performance Indicator (KPI) model, which are embedded in the RCBIDS, are constructed separately. An engineering case shows that the risk and condition based maintenance task optimization technology can be used to optimize maintenance content and maintenance period, to minimize maintenance deficiencies and maintenance surplus, and to prolong the lifespan of equipment.     

单一及复合重金属污染对土壤酶活性的影响

采用外源添加重金属和室内培养的方法研究重金属Cd、Pb对滩涂盐渍土脲酶、过氧化氢酶活性的影响,为中国沿海地区土壤重金属污染的监测及重金属对潜在生态环境影响等方面的研究提供参考依据。重金属Cd添加至土壤的质量分数为0、0.5、1.0、2.0 mg.kg-1,重金属Pb添加至土壤的质量分数为0、100、200、400 mg.kg-1,采用完全随机区组设计,3次重复。结果表明：重金属质量分数较低时,单一重金属对土壤脲酶活性具有促进,对过氧化氢酶活性具有抑制作用;重金属质量分数较高时,对土壤脲酶活性具有抑制作用,对土壤过氧化氢酶具有促进作用。重金属Cd、Pb对土壤酶活性的影响存在交互作用,重金属Cd对土壤脲酶活的性影响起主导作用,重金属Pb对土壤过氧化氢酶活性的影响起主导作用。经逐步回归分析,有效态重金属的质量分数低水平时,土壤脲酶活性与重金属Cd呈现显著负相关;土壤过氧化氢酶活性与重金属Pb呈现显著正相关。     

雾灵山典型林分枯落物和土壤水文效应

通过标准地调查、枯落物持水能力测定、土壤物理性质及持水能力测定和入渗实验对雾灵山5种林分类型枯落物和土壤水文效应做了初步研究,结果表明:1)华北落叶松林(Larix principic-rupprechtii)枯落物储量最大,为45.73 t·hm~(-2);核桃楸林(Juglans mandshurica)最大持水量最高,为118.73 t·hm~(-2),相当于11.87 mm的水深;华北落叶松林有效持水量最大,为112.68t·hm~(-2),相当于11.27 mm的水深.2)5种不同林分类型土壤层持水能力相差很大,山杨林(Populus davidiana)的有效持水量最大,为122.80t·hm~(-2),相当于12.28 mm的水深,利用幂函数对土壤入渗速率与入渗时间进行拟合,结果显示相关系数都在0.94以上.     

鄂州市蔬菜地土壤重金属污染评价

为了解鄂州市蔬菜地重金属的污染状况,对鄂州市蔬菜地土壤进行采样,并对其重金属铜、铅、镉、铬、汞、砷含量进行测定。利用单项污染指数法和内梅罗综合污染指数法对其进行分析和评价,其中土壤重金属元素单因子污染指数(Pi)由大到小的顺序为:铜(Cu)>汞(Hg)>铬(Cr)>砷(As)>铅(Pb)>镉(Cd)。其中铜、汞、铬、砷属于中度污染,铅、镉处于警戒线中。内梅罗综合污染指数法表明鄂州蔬菜地土壤整体受到了轻度的重金属污染.     

北京城市大气甲烷自动连续观测与结果分析

本文提出了自动连续监测北京城市背景下大气温室气体的方法 ,报道了 2 0 0 0年监测得到的CH4 日变化和总的变化趋势。对高密度观测获得的数据分析发现 ,北京大气CH4 的日变化呈现单周期正弦变化 ,平均浓度极大值 1.60 μg/L出现在凌晨 5 :0 0— 6:0 0 ,极低值 1.40 μg/L出现在午后 14:0 0— 15 :0 0 ,其原因很大程度上受制于光化学汇的日变化。通过研究不同季节、不同天气情况下CH4 的日变化规律发现 ,北京显然是CH4 的排放源 ,在强风条件下得到接近华北地区本底值的浓度。日变化季节差异反映了城市背景下大气CH4 的浓度主要受到汇的调制和人类活动的影响。同时 ,虽然北京大气CH4 浓度季变化仍呈双峰模态 ,但冬季峰值明显低于夏季 ,显示北京大气治理取得成效 ,人为源强度变小     

INITIAL RESEARCH INTO CLIMATIC CHANGES AND GRASSLAND DEGENERATION IN INNER MONGOLIA

DuringtheimplementationoftheWestChinaDevelopmentStrategyinthetwenty firstcentury ,thenorthernsteppezoneplaysasignificantroleinsafeguardingtheecologicalsecurityandrealizingsustainabledevelopmentinChina .InnerMongoliaprairieliesinthemiddleofEurasiasteppezoneandisthetransitionzonefromthearidareasinthenorthwesttothehumidareasinthenortheastandthedryfarmingareasinNorthChina .Therigorousnaturalconditions ,thefluctuatingclimateandthecompli catedsocialandeconomicconditionsmakethisareaverysensitiveto…     

The combined effect of titanium dioxide nanoparticles and cypermethrin on male reproductive toxicity in rats

Environmental Science and Pollution Research - Titanium nanoparticles and pyrethroid pesticides are now being widely used in industrial, agriculture, and biomedical applications. In recent years,...     

遥感在环境影响评价中的应用——以大清公路为例

本文以遥感为技术手段,利用ERl、ASⅢAGINE8.5和FRAGSTATS3.3软件针对项目区在景观总体格局和各类型斑块两个层次计算出十几种景观指数,对该区域的景观格局分布做出了较为全面的定量分析.结果表明:草地景观面积最大,斑块数最多,是评价区的基质.乔木林地在各项指数分析中均较低.文中探讨了遥感与地面调查的优缺点,得出结论:以遥感技术为手段,结合地面调查是评价区域生态环境的有效工具.     

Development and application of equipment maintenance and safety integrity management system

Equipment management in process industry in China essentially belongs to the traditional breakdown maintenance pattern, and the basic inspection/maintenance decision-making is weak. Equipment inspection/maintenance tasks are mainly based on the empirical or qualitative method, and it lacks identification and classification of critical equipment, so that maintenance resources can’t be reasonably allocated. Reliability, availability and safety of equipment are difficult to control and guarantee due to the existing maintenance deficiencies, maintenance surplus, potential danger and possible accidents. In order to ensure stable production and reduce operation cost, equipment maintenance and safety integrity management system (MSI) is established in this paper, which integrates ERP, MES, RBI, RCM, SIL and PMIS together. MSI can provide dynamic risk rank data, predictive maintenance data and RAM decision-making data, through which the personnel at all levels can grasp the risk state of equipment timely and accurately and optimize maintenance schedules to support the decision-making. The result of an engineering case shows that the system can improve reliability, availability, and safety, lower failure frequency, decrease failure consequences and make full use of maintenance resources, thus achieving the reasonable and positive result.