EDTA-2Na/Fe(Ⅱ)对自养生物体系下硝酸盐还原过程的影响

采用厌氧序批式生物膜反应器(ASBBR),以固定浓度的硝酸盐和硫酸亚铁为基质,按不同梯度条件添加EDTA-2Na,进行长时间的培养驯化,研究铁盐脱氮的启动过程,同时探究不同EDTA-2Na/Fe(Ⅱ)对铁自养反硝化过程以及硝酸盐异化还原为铵(DNRA)的影响.结果表明:经过65d的培养驯化,反应器成功稳定运行.当EDTA-2Na/Fe(Ⅱ)<1.50时,反应器只进行铁自养反硝化过程,NO₃^--N去除率最高仅为71.70%;当EDTA-2Na/Fe(Ⅱ)≥1.50时,反应器同时进行铁自养反硝化与DNRA过程,NO₃^--N去除率最高为99.70%.值得注意的是,在EDTA-2Na/Fe(Ⅱ)=1.50时,铁自养反硝化速率达到最大值1.63mg/(L·h)的同时,DNRA的产氨量也达到最大值9.75mg/L.Visual MINTEQ模拟结果表明:EDTA-2Na与Fe(Ⅱ)的摩尔比会影响进水中EDTA-2Na与Fe(Ⅱ)的存在形态,物质的量比越大,FeEDTA^2-度越高,Fe...     

基于PSO-SVM算法的环境监测数据异常检测和缺失补全

针对环境监测数据异常和数据缺失问题,提出了基于支持向量机的粒子群优化数据异常检测和缺失补全算法。利用粒子群优化算法选取较优的支持向量机训练参数组合,以此建立非线性的支持向量机模型,并利用结果模型对测得的真实数据拟合预测。以宁夏回族自治区某污水处理厂的污染物测量数据作为实验数据,结果表明,利用该算法预测数据的准确率可达97.977%,检测异常数据准确度高,缺失数据补全正确。     

氨基化有机-无机杂化整体柱分离富集环境水中五价砷

将四乙氧基硅烷(TEOS)和N-(β-氨乙基)-γ-氨丙基三乙氧基硅烷(AEAPTES)作为共聚前体,采用在毛细管内原位聚合的方式制备得到氨基功能化的有机-无机杂化整体柱,将其作为针式固相微萃取(SPME)介质,建立了现场分离富集环境水中As(V)的SPME方法,优化了有机-无机杂化整体柱富集As(V)的实验条件,并研究了整体柱对As(V)的吸附/洗脱性能和富集能力,实现了环境水样中As(V)的高效、快速、高选择性检测。     

水稻土对Cu~(2+)吸附反应动力学及离子强度和磷酸根的影响

研究了水稻土对Cu2+的吸附反应动力学,并考察了p H和磷酸根2个因素对Cu2+吸附的影响。结果表明:水稻土对Cu2+的吸附反应速率可明显分为快、慢2个阶段,快速阶段主要是Cu2+结合在高亲和力位点,而慢速阶段则是结合在低亲和力位点。提高溶液p H可促进水稻土对Cu2+的吸附,降低溶液p H则将抑制Cu2+的吸附,这主要是因为p H可通过改变水稻土表面电荷的性质以及溶液Cu2+的形态来影响吸附反应。提高离子强度,将降低低p H条件下Cu2+的吸附量,而对高p H条件下Cu2+的吸附量影响较小,这表明水稻土对Cu2+存在很大比例的专性吸附。溶液中磷酸根的存在,可促进水稻土对Cu2+的吸附。本文所得到的研究结果对认识Cu2+在水稻土中的土壤环境行为及其污染控制有一定的理论意义。     

生理因素对驾驶人行为及风险感知影响研究综述

为全面认识驾驶人行为及风险感知并分析行为成因,从驾驶人生理因素着手,从驾驶人视力、阻塞性睡眠呼吸暂停综合征和肌肉骨骼疾患3个方面梳理国内外驾驶人行为及风险感知的研究成果与研究不足。研究结果表明:驾驶人的生理疾病对其驾驶能力和危险感知存在显著影响;生理疾病严重程度与异常驾驶行为中的一般性失误、危险性失误行为之间具有显著正相关关系,疾病严重程度越高,出行失误行为的频率越高;之后可从理论和实验两方面着手,针对驾驶人的不同属性进行研究。     

基于尾涡强度的无人机与民机纵向安全间隔评估研究

为了解决无人机频频入侵机场净空,与民航客机发生危险接近的问题,以碰撞风险为量化指标,对无人机与民机需要保持的纵向安全间隔进行评估研究。分析民机尾涡流场对无人机运行的影响,利用Crow近场涡强度消散理论,得到实际尾迹影响区改进Reich碰撞模板,据此建立CNS/GPS性能环境下的纵向间隔评估模型,通过Matlab进行间隔值求解。研究结果表明:模型可以较为准确地反映民机起飞初始爬升阶段无人机尾随运行时导航性能和尾涡迹对所需最小间隔值的影响,并得到给定安全目标水平的计算结果。     

石化装置安全仪表系统KooN表决结构的误跳车率定量分析

为了更准确量化安全仪表系统的误跳车率,基于联锁回路SIF中传感器、逻辑解算器、执行机构引发误跳车的不同失效机理和模型,考虑共因失效对误跳车率的影响,提出1种更符合实际并适用于异型KooN结构的新子系统误跳车率计算模型（STR of Non-identical Redundant System,SNRS）。针对SIF回路的误跳车率计算,建立了1种分析安全联锁SIF回路误跳车率（Reliability based Spurious Trip,RST）的计算框架。研究结果表明:以某聚丙烯装置第三反应器保护系统为例,将SNRS和RST方法与目前主流的多种计算方法进行数值计算对比,验证了方法的有效性,能够有效进行定量分析。     

聚苯乙烯/CdS/TiO_2双壳层核壳纳米颗粒可见光催化降解甲基橙

采用溶胶-凝胶法,在聚苯乙烯(PS)/CdS核壳纳米颗粒表面包覆致密TiO_2层,制备出具有双壳层结构的PS/CdS/TiO_2纳米复合颗粒,考察了制备条件对材料结构的影响,并利用甲基橙溶液对其光催化性能进行了评价。SEM、TEM、XRD和FTIR分析结果表明,制得的微球单分散性良好,壳层包覆完整,厚度均匀。PS/CdS/TiO_2制备的适宜反应时间为12~18 h,适宜反应pH为7~9。PS/CdS/TiO_2较PS/CdS具有更为优异的可见光催化性能。     

Are older drivers’ driving patterns during an on-road driving task representative of their real-world driving patterns?

Abstract

Objective: The current study investigated whether older drivers’ driving patterns during a customized on-road driving task were representative of their real-world driving patterns.

Methods: Two hundred and eight participants (male: 68.80%; mean age?=?81.52 years, SD?=?3.37 years, range?=?76.00–96.00 years) completed a customized on-road driving task that commenced from their home and was conducted in their own vehicle. Participants’ real-world driving patterns for the preceding 4-month period were also collected via an in-car recording device (ICRD) that was installed in each participant’s vehicle.

Results: During the 4-month period prior to completing the on-road driving task, participants’ median real-world driving trip distance was 2.66?km (interquartile range [IQR]?=?1.14–5.79?km) and their median on-road driving task trip distance was 4.41?km (IQR?=?2.83–6.35?km). Most participants’ on-road driving task trip distances were classified as representative of their real-world driving trip distances (95.2%, n?=?198).

Conclusions: These findings suggest that most older drivers were able to devise a driving route that was representative of their real-world driving trip distance. Future research will examine whether additional aspects of the on-road driving task (e.g., average speed, proportion of trips in different speed zones) are representative of participants’ real-world driving patterns.     

CO2 emission driving forces and corresponding mitigation strategies under low-carbon economy mode: evidence from China’s Beijing–Tianjin–Hebei region

On account of the background of China’s “new normal” characterized by slower economic growth, this paper analyses the low-carbon economy status quo in the Beijing–Tianjin–Hebei region and empirically investigates the relationship between carbon dioxide (CO₂) emissions and its various factors for China’s Beijing–Tianjin–Hebei region using panel data econometric technique. We find evidence of existence of Environmental Kuznets Curve. Results also show that economic scale, industrial structure, and urbanization rate are crucial factors to promote CO₂ emissions. However, technological progress, especially the domestic independent research and development, plays a key role in CO₂ emissions abatement. Next, we further analyze the correlation between each subregion and various factors according to Grey Relation Analysis. Thereby, our findings provide important implications for policymakers in air pollution control and CO₂ emissions reduction for this region.