Introducing a multi-variate classification method: Risky driving acceptance among different heterogeneous driver sub-cultures

Introduction: Heterogeneous driving populations with many different origins are likely to have various sub-cultures that comprise of drivers with shared driver characteristics, most likely with dissimilar traffic safety cultures. An innovative methodology in traffic safety research is introduced which is beneficial for large datasets with multiple variables, making it useful for the multi-variate classification of drivers, driving attitudes and/or (risky) driving behaviours. Method: With the application of multidimensional scaling analysis (MDS), this study explores traffic safety culture in the State of Qatar using a questionnaire and investigates the similarity patterns between the questionnaire items, aiming to classify attitudes towards risky driving behaviours into themes. MDS is subsequently applied to classify drivers within a heterogeneous driving sample into sub-cultures with shared driver characteristics and different risky driving attitudes. Results: Results show that acceptance of speeding is highest among the young Arabic students and acceptance of distraction and drivers’ negligence such as phone use and not wearing a seatbelt is highest among male Arab drivers. Acceptance of extreme risk-taking like intoxicated driving and red-light running is highest among South-Asian business drivers. Conclusion: It is important and practical to understand risky behavioural habits among sub-cultures and thereby focussing on groups of drivers instead of individuals, because groups are easier to approach and drivers within sub-cultures are found to influence each other. By indicating which groups of drivers are most likely to perform specific risky driving themes, it is possible to target these groups and effectively emphasise certain subsets of risky driving behaviours during training or traffic safety education. Practical Applications: This study provides guidance for the improvement of driver education and targeted traffic safety awareness campaigns, intending to make changes to attitudes and habits within specific driver sub-cultures with the aim to improve traffic safety on the longer term.     

钢渣吸附-微波降解法处理碱性品红废水

研究了钢渣对碱性品红染料的吸附性能、影响因素以及微波对吸附在钢渣-焦炭上的染料的降解作用。实验表明,在中性条件下,钢渣对碱性品红具有优良的吸附性能,饱和吸附量可达到42．4mg／g。以钢渣处理质量浓度为100mg/L的碱性品红溶液,当固液质量比为1：50、振荡吸附1h后,染料溶液脱色率达97％。实验还表明,焦炭可吸收微波产生高温,用钢渣-焦炭混合物（质量比1：1）吸附染料后,以微波辐照可使物料达到665℃的高温,吸附的染料降解。吸附剂再生后重复使用4次,脱色率都达到95％以上。     

沸石在水污染控制中的研究与应用进展

综述了沸石在水污染控制领域的理论研究和应用的进展。     

层状氢氧化镁铝对偶氮染料酸性黑10B的脱色性能研究

分别用层状氢氧化镁铝(LDH)和焙烧层状氢氧化镁铝(CLDH)作为吸附剂吸附脱除水溶液中偶氮染料酸性黑10B.考察了脱色时间、pH值、吸附剂的投加量、温度、染料初始浓度和焙烧温度等因素对脱色率的影响.结果表明,LDH及CLDH对酸性黑10B染料具有良好的脱除效果,室温下,10g/L LDH和1g/L的CLDH对浓度为100mg/L的染料的脱色率分别达95.93%和99.97%.pH值是影响吸附能力的关键因素,吸附剂对溶液pH值有一定缓冲作用.LDH及CLDH对酸性黑10B吸附结果符合Langmuir吸附等温式.饱和吸附后的LDH及CLDH用高温热解法再生,吸附性能良好,随再生次数增多,脱色率下降.     

水溶性有机物对草萘胺在土壤中吸附与迁移的影响

采用批次吸附试验和土柱淋洗试验,研究了绿肥和污泥中水溶性有机物(DOM)对除草剂草萘胺在黄棕壤和石灰性潮土上吸附和迁移影响.结果表明,供试DOM均能明显降低草萘胺在2种土壤上的吸附,促进草萘胺的迁移,在黄棕壤上效果更明显.在所研究的草萘胺和DOM浓度范围内,绿肥DOM(GM)都比污泥DOM(SS)作用显著.草萘胺的吸附等温线可用Freundlich方程定量描述.绿肥DOM和污泥DOM可分别使黄棕壤中草萘胺吸附量比对照处理(不加DOM)减少22.9%和11.3%,使迁移出土体的草萘胺总量提高了73.42%和26.87%,而使潮土中草萘胺的吸附量减少了9.5%和6.5%,迁移出土体的草萘胺总量增加了43.54%和28.29%.因此,农业土壤中溶解性有机物对农药环境行为有一定影响.     

磁性生物炭负载Mg-Fe水滑石的制备及其吸附水中Cd（Ⅱ）和Ni（Ⅱ）的性能

合成了一种高吸附容量的磁性生物炭负载Mg-Fe水滑石复合材料（L-BC）,并用于去除水中的Cd²⁺和Ni²⁺。表征结果表明,采用浸渍联合热解法成功制备了磁性生物炭（M-BC）,水热合成法成功地将Mg-Fe水滑石负载在M-BC上。动力学研究结果表明,Cd²⁺和Ni²⁺吸附符合伪二级动力学模型,化学吸附为速率控制步骤。等温吸附研究结果表明,L-BC对Cd²⁺和Ni²⁺的吸附符合Langmuir模型,为单分子层化学吸附,最大吸附量分别为263.156 mg/g和43.291 mg/g。吸附机理主要为Mg-Fe水滑石层间CO₃^2-和表面羟基与Cd²⁺和Ni²⁺产生表面共沉淀。L-BC具有良好的吸附和重复利用性能,是一种很有前景的去除Cd²⁺和Ni²⁺的吸附材料。     

用膨润土处理油田污水的研究进展

介绍了膨润土的基本特性及其存油田污水处理中的研究情况。天然膨润土经改性后,可吸附去除油田污水中的油、烃类衍生物、注聚残留聚合物及表面活性剂;负载金属氧化物的改性膨润土可对光催化氧化产生协同效应,提高光催化氧化油田污水中有机物的能力;在高压下将膨润土制成薄膜,对油田污水中的无机离了有一定的截留去除作用。     

尿素基纤维的制备及对水中Cu2+和Cd2+的吸附

以棉纤维为原料,经氯化和取代反应,制得尿素基纤维并用于水中Cu^2＋和Cd^2＋的吸附,考察了各种因素对吸附效果的影响。尿素基纤维对Cu^2＋和Cd^2＋的吸附可用Langmuir等温吸附方程描述,吸附过程可看成单层吸附。较佳吸附条件：重金属离子溶液pH为5,流量为7mL／min。用过的尿素基纤维经2mol／L的盐酸洗脱再生后,对Cu^2＋的吸附、解吸、再吸附的性能良好,可重复使用。     

我国典型土壤对病毒等温静态吸附的数值模拟

通过室内等温静态批量平衡吸附实验,采用3种常见的等温线（Freundlich方程、Langmuir方程和Temkin方程）对2种病毒（MS2和X174）在2种处理（非灭菌和灭菌）条件下的6种土壤（红壤土、红粘土、乌栅土、黄泥土、沙质潮土和壤质潮土）中的吸附行为进行了回归拟合.实验结果和模拟结果均表明,土壤性质、病毒性质、土壤中的土著微生物对病毒在土壤中吸附行为均具有重要的影响.红粘土对MS2和X174的平均吸附比例几乎能达到100％,而2种潮土（沙质潮土和壤质潮土）相对较弱;总体来看土壤对X174的吸附能力高于MS2,但灭菌后的土壤对MS2的吸附能力却高于X174.在数值模拟中,Freundlich方程和Langmuir方程均具有理想的相关性.Freundlich方程能够表现出病毒浓度对其在土壤中吸附行为的影响;尽管Langmuir方程能够应用于土壤对病毒吸附能力的比较,但本研究中不能应用Langmuir方程来计算土壤对病毒的最大吸附量.     

北京地区土壤对柴油的吸附及影响因素研究

通过静态吸附实验,研究了北京地区土壤对柴油的吸附行为,考察了溶液pH和添加乙醇对柴油吸附的影响. 结果表明,6种不同土样对柴油的吸附等温线均较好地符合Langmuir吸附方程,其吸附系数(K)分别为0.193, 0.218, 0.203, 0.199, 0.211和0.182 L/mg,6种土样吸附能力依次为轻壤土>轻粘土>中壤土>砂壤土>重壤土>紧砂土,这主要是由于6种土样的pH,有机质含量和机械组成不同所致;溶液pH的升高,不利于柴油在土壤中的吸附,pH从4升高到10,柴油在1～6号土样中的吸附量分别从1　012, 1　800, 1　377, 1　272, 1　601和862 μg/g降低到114, 236, 163, 150, 201和85 μg/g;向柴油中添加乙醇会减小柴油的吸附量,并且吸附量随添加乙醇量的增大而降低,这有利于柴油的向下运移.