关于机动车尾气检测方法及污染防治措施研究

机动车尾气成分中包含着许多种类的化合物,而绝大多数化合物不仅威胁人体健康而且极易造成空气污染。现阶段,我国机动车尾气排放特征为排放量大、短期、局部污染极为严重与集中排放等,对此我国应提高对机动车尾气检测问题的重视程度,并采取相应的措施防治机动车尾气排放。基于此,文章简要分析机动车尾气的有关检测方法及其防治路径。     

环境检测的作用与改进措施探究

本文对环境检测工作进行了探讨和分析,希望能够为我国的环境保护工作起到一定的推动作用。     

Detecting fatigue in car drivers and aircraft pilots by using non-invasive measures: The value of differentiation of sleepiness and mental fatigue

Introduction: Fatigue is one of the most crucial factors that contribute to a decrease of the operating performance of aircraft pilots and car drivers and, as such, plays a dangerous role in transport safety. To reduce fatigue-related tragedies and to increase the quality of a healthy life, many studies have focused on exploring effective methods and psychophysiological indicators for detecting and monitoring fatigue. However, those fatigue indicators rose many discrepancies among simulator and field studies, due to the vague conceptualism of fatigue, per se, which hinders the development of fatigue monitoring devices. Method: This paper aims to give psychological insight of the existing non-invasive measures for driver and pilot fatigue by differentiating sleepiness and mental fatigue. Such a study helps to improve research results for a wide range of researchers whose interests lie in the development of in-vehicle fatigue detection devices. First, the nature of fatigue for drivers/pilots is elucidated regarding fatigue types and fatigue responses, which reshapes our understanding of the fatigue issue in the transport industry. Secondly, the widely used objective neurophysiological methods, including electroencephalography (EEG), electrooculography (EOG), and electrocardiography (ECG), physical movement-based methods, vehicle-based methods, fitness-for-duty test as well as subjective methods (self-rating scales) are introduced. On the one hand, considering the difference between mental fatigue and sleepiness effects, the links between the objective and subjective indicators and fatigue are thoroughly investigated and reviewed. On the other hand, to better determine fatigue occurrence, a new combination of measures is recommended, as a single measure is not sufficient to yield a convincing benchmark of fatigue. Finally, since video-based techniques of measuring eye metrics offer a promising and practical method for monitoring operator fatigue, the relationship between fatigue and these eye metrics, that include blink-based, pupil-based, and saccade-based features, are also discussed. To realize a pragmatic fatigue detector for operators in the future, this paper concludes with a discussion on the future directions in terms of methodology of conducting operator fatigue research and fatigue analysis by using eye-related parameters.     

Investigating traffic fatality trends and restraint use among rear-seat passengers in the United States, 2000–2016

Introduction: Motor-vehicle crash is one of the leading causes of unintentional injury death in the United States. Previous studies focused on fatalities among drivers and front-seat passengers, with a limited number of studies examining rear-seat passenger fatalities. The objectives of this study were to assess trends in rear-seat passenger motor-vehicle fatalities in the United States from 2000 to 2016 and to identify demographic factors associated with being unrestrained among fatally injured rear-seat passengers. Methods: Rear-seat passenger fatality data were obtained from the Fatality Analysis Reporting System (FARS) database. The fatality rate ratios for overall rear-seat passengers and for different age and sex groups were determined by comparing fatality rates in 2000 and 2016 using random effects models. Risk ratios of being unrestrained for age and sex groups were obtained using general estimating equations. Results: Compared to 2000, the overall rear-seat passenger fatality rate in 2016 decreased by 44% (95% confidence interval [CI]: 39–49%). In particular, the fatality rate among rear-seat passengers decreased more in males than females, and passengers aged 14–19 years experienced a larger decline than all other age groups. Fatally injured male rear-seat passengers had a higher risk of being unrestrained (adjusted risk ratio: 1.06, 95% CI: 1.04–1.07) than their female counterparts, and both youngest (≤13 years) and oldest (65–85 years) passengers were less likely to be unrestrained than those aged 20–64 years. Conclusions: Overall, fatality rates among rear-seat passengers have declined, with differential degrees of improvement by age and sex. Practical Applications: Continued restraint use enforcement campaigns targeted at teenagers and males would further preserve them from fatal injuries and improve traffic safety for the overall population.     

基于深度学习算法的叉车危险操作行为检测

随着物流仓储行业快速发展及叉车数量的不断增多,针对叉车作业过程中存在的人员碰撞、挤压、坠落等潜在风险,迫切需要对危险行为进行及时检测和预警。为解决人员值守易漏报误报及传统方法检测精度低的问题,建立基于图像特征识别的叉车检测深度学习模型和算法。通过采集、处理现场视频图像素材,完成模型的训练及性能评价,建立相应的报警规则和报警阈值,搭建测试环境并进行仿真测试,开发相应的软件系统。结果表明:模型检测速率为130 ms/帧,人员靠近叉车准确率为85.6%,叉车举升人员准确率为83.7%,达到良好的实践效果。     

2018年11—12月北京市重污染天气过程数值预报能力评估

2018年11—12月北京市发生了4次以PM_2.5为首要污染物的重污染天气过程,为了分析数值模型对4次重污染过程的预报能力,将CMAQ模式提前1~7 d对北京市PM_2.5的小时预报结果与观测结果对比,分别从离散统计和分类统计2个方面评估CMAQ模式对4次重污染天气过程的预报效果,并简要分析了偏差产生的气象方面原因。结果表明：CMAQ模式提前1~6 d对重污染天气过程的预报显示出良好的性能,为日常业务预报提供了可借鉴的参考信息,可较好地预报出PM_2.5小时浓度变化趋势和浓度水平,离散统计结果显示提前1~4 d的预报结果好于提前5~7 d,相关系数r基本大于0.8,但有一定程度的低估趋势;分类统计结果显示不同预报时效预报准确率大于70%,探测准确率高于55%,部分时段可以达到80%~90%,对人工预报起到了良好的参考作用;输入的气象场的变化及其偏差对于重污染的起始时间、持续时间及清除时间有一定的影响,对相对湿度预报偏小和风速预报偏大是造成CMAQ模式低估的一个重要原因。     

北京市高海拔地区百花山空气质量状况及与市区的差异性研究

对北京市远郊百花山(海拔1300 m)2007—2017年大气常规6项污染物数据进行了分析,并与代表市区的国控站点均值数据进行了比较。研究发现,百花山SO2、CO、PM2.5浓度为国控站点浓度的35.5%~35.7%,NO2、PM 10、O 3浓度分别为国控站点浓度的14.0%、41.5%、185.5%。11年间,百花山6项常规污染物浓度逐年降低。2013—2017年,百花山PM2.5浓度年均降速为11.4%,低于国控站点13.3%的年均改善水平。百花山和国控站点在污染物季节变化趋势上基本一致,秋季颗粒物浓度差异最大,春季差异最小。百花山6项污染物的日变化峰谷比值为1.21~1.44,其差异小于国控站点。各项污染物浓度在18:00出现峰值,认为主要受城区远距离传输影响。2013—2017年,百花山共出现5个PM2.5重污染天,5级以上重污染小时数为442 h,国控站点有2%的重污染小时与百花山同步。     

中国气候变化的科学新认知

了解和认识百年来中国气候发生的变化、引起其变化的驱动因素以及未来的可能变化,可以更好地适应和减缓气候变化。本文综合评估了观测到的中国气候变化事实、中国气候变化的驱动力、中国未来气候变化预估三大方面,分析了气候变暖的趋势、水循环以及降水和冰川变化、极端天气气候事件变化、生物化学循环、海洋和土地覆盖变化及其气候效应以及未来气候变化的特点和趋势等最新科学进展。在中国百年温度趋势、气候系统多气候指标变化特征、极端天气气候事件中的人类活动作用以及气候系统模拟能力等方面的研究有了新的进展。可以看到中国气候变暖趋势持续、大气二氧化碳等长寿命温室气体浓度继续增长、人为强迫影响了多种气候要素在强度和频率的变化,中国陆地生态系统的固碳量增加。本文最后提出未来中国气候变化研究需要进一步加强的问题,包括:中国气候变化中的城市化效应、气候系统内部变率在年代际变化中的作用、气溶胶-云-降雨相互作用的机理、大范围土地利用变化(如大规模生态恢复工程)的气候效应,以及云辐射反馈、海洋环流对气候变化的响应与反馈、气候-碳循环反馈等过程对气候模拟不确定的影响等。     

从传统走向现代——发展中的中国环境监测

提出了环境监测学的6个理论命题和4个基本原理，通过界定环境监测对象和环境监测内容，分析了7个领域环境监测技术方法学的发展趋势。     

A review of research on China’s carbon emission peak and its forcing mechanism

In order to make further steps in dealing with climate change, China proposed to peak carbon dioxide emissions by about 2030 and to make best efforts for the peaking early. The carbon emission peak target (CEPT) must result in a forcing mechanism on China’s economic transition. This paper, by following the logical order from “research on carbon emission history” to “carbon emission trend prediction,” from “research on paths of realizing peak” to “peak restraint research,” provides a general review of current status and development trend of researches on China’s carbon emission and its peak value. Furthermore, this paper also reviews the basic theories and specific cases of the forcing mechanism. Based on the existing achievements and development trends in this field, the following research directions that can be further expanded are put forward. First, from the perspective of long-term strategy of sustainable development, we should analyze and construct the forcing mechanism of CEPT in a reverse thinking way. Second, economic transition paths under the forcing mechanism should be systematically studied. Third, by constructing a large-scale policy evaluation model, the emission reduction performance and economic impact of a series of policy measures adopted during the transition process should be quantitatively evaluated.