汽油无铅化的关联问题

在实施汽油无铅化的过程中，一个值得引起重视的问题是，要防止“污染替代”发生，即在消除铅污染的同时，防止另一些对环境和健康构成严重威胁的污染物被引入。该文在调研大量中外文献的基础上，综述了目前研究较多的苯、芳烃、烯烃、甲基叔丁基醚等汽油组成和汽油蒸气压对汽车排放正、负方面的影响，提出了制定汽油燃料环保标准，汽油无铅化和安装催化转化器同步进行等建议。     

机动车尾气VOCs排放特征及减排措施研究

分析了机动车尾气挥发性有机物(VOCs)的排放特征,发现尾气VOCs排放具有明显的日变化和季节变化特征。不同区域不同车型机动车尾气VOCs成分谱略有差异,轻型汽油车尾气VOCs中芳香烃和烷烃含量较高,柴油车烷烃含量较高。尾气排放受机动车保有量、行驶里程、维护保养水平、行驶速度和燃油标准、排放标准等因素影响。从优先控制汽油车、加快机动车更新、采取本地化减排措施、加强多元管理措施、提高科研水平等方面提出了针对性的减排措施。     

Investigation of hit-and-run crash occurrence and severity using real-time loop detector data and hierarchical Bayesian binary logit model with random effects

Objective: Most of the extensive research dedicated to identifying the influential factors of hit-and-run (HR) crashes has utilized typical maximum likelihood estimation binary logit models, and none have employed real-time traffic data. To fill this gap, this study focused on investigating factors contributing to HR crashes, as well as the severity levels of HR.

Methods: This study analyzed 4-year crash and real-time loop detector data by employing hierarchical Bayesian models with random effects within a sequential logit structure. In addition to evaluation of the impact of random effects on model fitness and complexity, the prediction capability of the models was examined. Stepwise incremental sensitivity and specificity were calculated and receiver operating characteristic (ROC) curves were utilized to graphically illustrate the predictive performance of the model.

Results: Among the real-time flow variables, the average occupancy and speed from the upstream detector were observed to be positively correlated with HR crash possibility. The average upstream speed and speed difference between upstream and downstream speeds were correlated with the occurrence of severe HR crashes. In addition to real-time factors, other variables found influential for HR and severe HR crashes were length of segment, adverse weather conditions, dark lighting conditions with malfunctioning street lights, driving under the influence of alcohol, width of inner shoulder, and nighttime.

Conclusions: This study suggests the potential traffic conditions of HR and severe HR occurrence, which refer to relatively congested upstream traffic conditions with high upstream speed and significant speed deviations on long segments. The above findings suggest that traffic enforcement should be directed toward mitigating risky driving under the aforementioned traffic conditions. Moreover, enforcement agencies may employ alcohol checkpoints to counter driving under the influence (DUI) at night. With regard to engineering improvements, wider inner shoulders may be constructed to potentially reduce HR cases and street lights should be installed and maintained in working condition to make roads less prone to such crashes.     

等离子体汽车尾气治理技术

等离子体技术应用于环境污染防治领域具有处理效率高、投资省、运行成本低、不产生二次污染等优点，已成功地运用于固体废物、废水和废气的治理，并成为近年来全世界广泛研究的课题。本文概述了汽车尾气治理技术的现状，探讨了等离子体处理废气的作用机理及其在汽车尾气治理中的应用，最后提出了等离子体处理汽车尾气技术在工业应用中尚需解决的问题。     

双怠速法机动车尾气排放检测结果的影响因素分析

针对双怠速法机动车尾气排放检测过程中经常大量出现过量空气系数(λ)不合格现象,结合相关标准和工作实践对影响检测结果的因素进行分析。结果显示,取样管路的气密性差、系统响应时间未达标准、测试软件程序设置错误、高怠速转速设置不合理及由于车辆特性导致的选用标准及操作错误均会导致λ测试结果超标,影响双怠速检测法的准确性。     

水源地污染源无人机遥感监测

无人机遥感是近年新兴的航空遥感技术,随着无人机平台与载荷的不断进步,其研究应用愈加深入,已广泛应用于各行业领域,并作为卫星遥感技术的补充,愈加发挥着重要作用。为拓展无人机遥感技术应用潜力,分析无人机在环保领域应用效果,以扬州市南水北调工程东线输水水域的水源地为研究区域,基于其污染源特征及周边生态环境状况,研究无人机平台与载荷搭配(可见光与热红外)技术,监测研究区污染源,分析其对水质的潜在影响。结果表明,研究区存在多处污染源,主要为点源污染(工业点源、水产养殖、生活污水),面源污染(河道码头、水土流失、农业)和内源污染(航运船舶、桥梁交通运输、渔民生活)等,同时,发现某助剂厂隐藏在水面下的4个排污口。该项技术的实验研究,发挥了无人机平台与载荷搭配应用效果,获取了污染源的类型、数量、空间分布及其扩散形态,为水源地无人机遥感技术应用奠定了工作基础。     

Taking account of the role of safety on vehicle choice using a new generation of discrete choice models

In attitudinal studies safety often appears as an important attribute desired by consumers when buying a new car (Ben-Akiva and Lerman, 1985). However, economic models of vehicle choice usually neglect the role of safety. On the one hand, to capture the qualitative nature of safety and variables related to safety one should consider safety as an underlying construct in a context of latent variable models. The problem is that psychometric models that make use of latent variables do not necessarily provide a complete understanding of agent behavior and may lead to poor predictive power. On the other hand, discrete choice models - although a powerful tool to explain decision making based on utility maximization behavior - fail to include qualitative factors as explanatory variables of the decision process.In this paper, we explore how to model safety through a new generation of discrete choice models which simultaneously consider both a standard discrete choice model and latent causal variables. Using stated preference data concerning purchase intentions of low-emission vehicles in Canada, we test a hybrid choice model to explain consumers’ preferences for safety. Based on the results as well as on the hybrid choice modeling approach, we outline a general framework for the correct modeling of the adoption of safer vehicles and appreciation of safety equipment.