金刚石膜电极对有机污染物的电催化特性

研究了化学气相沉积法(CVD)制备得到的掺硼金刚石膜电极的物理性质和电化学性能.用扫描电子显微镜(SEM)法表征了金刚石膜的表面微观结构,采用循环伏安法和交流阻抗法研究了电极的电化学性质.结果表明,金刚石薄膜表面形态为复晶结构,颗粒大小均匀,掺硼后使电极具有良好的导电性能.金刚石膜电极具有很宽的电势窗口,在酸性、中性和碱性3种介质中分别为4.3V、4.0V和3.0V.同时,金刚石膜电极的背景电流非常低,为-9×10^-6～5×10^-7A.在铁氰化钾电解液中,金刚石膜电极表面在反应过程中始终保持良好的活性,在表面进行的电化学反应具有良好的准可逆性,其电极动力学主要是受扩散过程所控制.金刚石膜电极对有机污染物的催化氧化作用具有选择性.与铂电极和石墨电极相比,金刚石膜电极对苯酚、硝基苯等芳香化合物的催化氧化强烈,氧化过程较为简单、彻底.这些性质表明金刚石膜电极是一种非常适用于环保处理的新型电极.     

缺氧条件下土壤砷的形态转化与环境行为研究

采集张士污灌区0～100 cm深的土壤并在实验室里负载低浓度的砷,采用不加硫和加硫对比研究了厌氧条件下土著微生物对土壤中砷的形态转化、环境行为影响及其机制.结果表明,在不外加硫酸盐条件下厌氧培养8 d后,微生物还原作用造成砷的大量还原和释放,释放的砷70%以上是以As(Ⅲ)形式存在,尤其20～40 cm深度土壤砷的释放量明显高于其它层土壤,As(Ⅲ)和As(T)分别达到892.8μg.L-1和1 240.6μg.L-1.与非生物对照相比每层土中盐酸可提取的砷总量都大大降低,且盐酸提取的As(T)几乎全部转化为As(Ⅲ).伴随砷的释放,铁发生还原和释放,溶解态的亚铁基本都在40 mg.L-1以上,不同土层固相中亚铁离子的量都在9.0～13.4 g.kg-1范围内,固相盐酸可提取态总铁中亚铁离子所占的比例基本都在50%以上,说明微生物还原作用造成固相中铁氧化物发生还原性溶解和矿物结构转化.当体系中添加10 mmol.L-1的硫酸盐时,每层土的生物培养体系中铁的释放几乎完全被抑制,砷和铁浓度也减少了50%.与不加硫生物培养体系相比,固相中盐酸可提取的砷量减少了50%,一部分砷被转化为稳定的硫化物As2S3而固定.可见在硫酸盐不足条件下微生物还原作用可造成砷被还原、活化和释放,而补充土壤中硫酸盐的量可促使微生物还原/活化的砷转化成更加稳定的形态,稳定的硫化物矿物As2S3是土壤微生物固定砷的重要途径.     

重金属在灰尘及其水溶解相中的分布特征及其影响因素——以南昌市为例

以南昌市为例,分析了不同功能区和公交车站降尘及其水溶解相中重金属浓度的空间分布特征.同时结合多种分析技术,探究降尘及其水溶解相理化性质对降尘重金属在固-液相中分配行为的影响.结果表明:南昌市降尘及其水溶解相中总重金属浓度范围分别为310~4393μg/g和2.17~55.62μg/g.两相中重金属的空间分布可能受到车流量较大的交通干线和汽车轮胎零件磨损的影响,其高值区主要分布于南昌县政府、部分高校以及客运站、驾校附近.风险评价的结果表明,南昌市降尘重金属综合生态风险总体处于中等水平,且Cr和As具有一定的致癌风险.溶解态中重金属所占百分比(K值)的排序为:Ni>Mn>Cu>As>Cr>Zn>Pb,K值的空间分布高值区多分布于人口密集地区、交通道路以及汽车客运站附近.大部分降尘及其水溶解相的理化性质与Pb、As、Mn具有显著正相关关系,降尘溶解相中较高的溶解性有机碳和腐殖化程度对重金属向溶解相中的释放具有重要作用.     

黑色金属材料在长江淡水中的腐蚀行为

通过现场暴露试验,获得了2种碳钢、3种不锈钢及1种不锈钢与碳钢复合板材料在武汉长江淡水中的4年腐蚀试验结果,总结了它们的腐蚀行为。结果表明,Q235和16Mn碳钢在武汉长江中有较高的腐蚀率和明显的点蚀,稳定腐蚀率为0.055 mm/a;暴露4 a,奥氏体不锈钢304和316L没有明显腐蚀,而马氏体不锈钢430有较明显的点蚀和缝隙腐蚀;马氏体不锈钢0Cr13Ni5Mo与Q345C复合钢板在长江淡水中使用4 a后,0Cr13Ni5Mo发生严重的点蚀,说明马氏体不锈钢在淡水中的应用应慎重。     

废旧塑料浮选分离中气泡黏附行为的影响

塑料浮选作为一种基于表面活性剂的废旧塑料分选技术,是解决废旧塑料环境污染的有效方法. 为深入考察塑料浮选过程中气泡的黏附行为及影响因素,运用高速摄影技术结合气泡黏附时间模型,对比分析纯水中气泡与亲/疏水材料的黏附效果,重点比较不同溶液〔纯水、鼠李糖脂和SDS(十二烷基硫酸钠)溶液〕中气泡与疏水材料的黏附时间变化,并探讨其影响机制. 结果表明:气泡在纯水中只与疏水材料发生黏附,表面活性剂及其浓度对气泡与疏水材料的黏附时间影响显著. 在c(鼠李糖脂)和c(SDS)(二者均为0.03 mmol/L)均较低的溶液中,气泡与疏水材料的黏附时间由纯水中的158 ms分别降至120和140 ms,而二者较高(10.00 mmol/L)时黏附时间分别增至1 134和338 ms. 基于黏附时间模型分析表明,黏附时间是气泡尺寸、接触角、溶液黏度及表面张力等参数的函数,通过控制这些参数可以调控气泡在目标塑料表面的黏附时间,实现浮选效率的优化.      

Quantification of risk perception: Development and validation of the construction worker risk perception (CoWoRP) scale

Introduction: The construction sector is leading in the number of accidents and fatalities; risk perception is the key to driving these numbers. Previous construction safety studies on risk perception quantification have not considered affective risk perception of construction workers or conducted comprehensive reliability and validity testing. Thus, this study aims to fill this need by developing a psychometrically sound instrument – the Construction Worker Risk Perception (CoWoRP) Scale – to assess the risk perception of construction workers. Method: Four phases of scale development, namely, item development, factor analysis, reliability assessment, and validity assessment were conducted with the collection and testing of data from a group (n = 469) of voluntary construction workers in Hong Kong. Results: The CoWoRP Scale with 13 items was shown to have acceptable test–retest reliability, internal consistency reliability, as well as content, convergent, discriminant, and criterion-related validity. Also, the CoWoRP Scale was affirmed to have three dimensions of worker risk perception, namely risk perception – probability, risk perception – severity, risk perception – worry and unsafe. These three dimensions of worker risk perception were negatively correlated with their risk-taking behavior. Conclusions: The CoWoRP Scale is a reliable and valid instrument for measuring the risk perception of construction workers and is expected to facilitate the construction safety studies that take risk perception of construction workers into account. Practical applications: The CoWoRP Scale could serve as an aptitude test to identify the characteristics of construction workers most likely to perceive lower risk in risky work situations. In turn, this information could help safety management provide safety training programs to those workers to enhance their risk perception and thereby minimizing their risk-taking behavior, reducing unnecessary training costs, and improving the construction safety performance.     

Are sociodemographic characteristics and attitude good predictors of speeding behavior among drivers on Malaysia federal roads?

Objective: The increasing number of road crashes and fatalities on Malaysian federal roads is a cause for concern. The main causes of road crashes and fatalities on federal roads have been attributed to the speeding behavior among drivers. As such, this research investigates the possible predictors from sociodemographic characteristics and attitudes in predicting speeding behavior among drivers on Malaysia federal roads.

Methods: A face-to-face survey was conducted via purposive sampling on 300 drivers at rest areas at 6 crash hotspots on Malaysian federal roads. A set of questions related to speeding behavior was developed. The questionnaire consisted of 10 questions related to sociodemographic characteristics of the participants, 37 questions regarding attitudes toward speeding, and 1 question regarding speeding behavior. Subsequently, the sociodemographics were analyzed using binary logistic regression and the attitude variable was analyzed using factor analysis and binary logistic regression.

Results: The findings from the sociodemographic data revealed that male gender, single/separated status, broad driving experience, crash experience, and leisure/vacation trip purposes emerged as significant predictors for speeding behavior. Additionally, the results of factor analysis for the attitude variable revealed 3 components: Affective, behavioral, and cognitive. These 3 components are originally derived from the ABC model of attitude (affective, behavioral, and cognitive) that was adapted in this study. Furthermore, the findings from binary logistic regression appeared consistent with the model assumption, signifying that behavioral aspects significantly influenced speeding behavior among drivers. Nevertheless, affective and cognitive components were insignificant predictors. Furthermore, strong agreement with speeding countermeasures was observed among the participants.

Conclusion: In conclusion, sociodemographic characteristics and attitude have been proven to affect speeding behavior among drivers on Malaysian federal roads. The findings have important implications in designing driver risk profiles on federal roads to develop suitable countermeasures based on the 4E approach (engagement, education, enforcement, and engineering) to enhance road safety.     

Perceived barriers to and drivers of community participation in protected‐area governance

Protected areas (PAs) are a frequently used conservation strategy, yet their socioeconomic impacts on local communities remain contentious. A shift toward increased participation by local communities in PA governance seeks to deliver benefits for human well‐being and biodiversity. Although participation is considered critical to the success of PAs, few researchers have investigated individuals’ decisions to participate and what this means for how local people experience the costs and benefits of conservation. We explored who participates in PA governance associations and why; the perceived benefits and costs to participation; and how costs and benefits are distributed within and between communities. Methods included 3 focus groups, 37 interviews, and 217 questionnaire surveys conducted in 3 communities and other stakeholders (e.g., employees of a nongovernmental organization and government officials) in PA governance in Madagascar. Our study design was grounded in the theory of planned behavior (TPB), the most commonly applied behavior model in social psychology. Participation in PA governance was limited by miscommunication and lack of knowledge about who could get involved and how. Respondents perceived limited benefits and high costs and uneven distribution of these within and between communities. Men, poorer households, and people in remote villages reported the highest costs. Our findings illustrate challenges related to comanagement of PAs: understanding the heterogeneous nature of communities; ensuring all households are represented in governance participation; understanding differences in the meaning of forest protection; and targeting interventions to reach households most in need to avoid elite capture.     

基于拓展TPB理论的客舱不安全行为意向影响因素研究

为了探究客舱旅客产生不安全行为意向的影响因素,本文基于旅客个体行为不完全受意志控制的特点,提出了采用计划行为理论作为理论基础,并引入了过去行为、风险感知和情绪管理3个新变量,构建了拓展的计划行为理论模型。通过自制量表的方式,研究了客舱旅客不安全行为意向影响因素的12个假设。研究结果表明,行为态度是影响不安全行为意向的最大直接因素,风险感知是最大的间接因素。本文为干预和引导旅客的安全行为给出一定的理论依据。