The Modelling of Turbulence from Traffic in Urban Dispersion Models — Part I: Theoretical Considerations

The modelling of pollutant dispersion at the street scale in an urban environment requires the knowledge of turbulence generated by the traffic motion in streets. In this paper, a theoretical framework to estimate mechanical turbulence induced by traffic in street canyons at low wind speed conditions is established. The standard deviation of the velocity fluctuations is adopted as a measure of traffic-produced turbulence (TPT). Based on the balance between turbulent kinetic energy production and dissipation, three different parameterisations for TPT suitable for different traffic flow conditions are derived and discussed. These formulae rely on the calculations of constants that need to be estimated on the basis of experimental data. One such estimate has been made with the help of a wind tunnel data set corresponding to intermediate traffic densities, which is the most common regime, with interacting vehicle wakes.     

Hydrochemical Monitoring and Heavy Metal Contaminations at the Narim Mine Creek in the Sulcheon District, Republic of Korea

The Narim gold mine is located approximately 200km southeast of Seoul within the Sulcheon mineralised district in the Yeongnam massif, Korea. In this study, environmental geochemical analyses were undertaken for soil, sediment and water samples collected in April, September and November in 1998 from the Narim mine creek. The mine area consists mainly of granitic gneiss; however, mineral constituents of soil and sediment near the mine were mainly composed of quartz, feldspar, mica, amphibole, some pyrite and clay minerals. Also were found some pyrite, arsenopyrite, chalcopyrite, sphalerite, galena, malachite, goethite, various hydroxide and unidentified secondary minerals. Generally, high concentrations of heavy metals in the soil and sediment are correlated with a high proportion of secondary minerals. Hydrochemical compositions of water samples are characterised by relative significant enrichment of Na⁺+K⁺ and alkali metals in the ground water, whereas the surface and mine waters are relatively enriched in Ca²⁺+Mg²⁺ and heavy metals. Anion contents of the ground waters are typically enriched in HCO₃ ^–, NO₃ ^– and Cl^–, whereas the surface and mine waters are highly enriched in HCO₃ ^– and SO₄ ^2–. The pH and EC values of the surface water from the non-mine creek are relatively lower compared with those of the surface water around the mine and waste dump. The range of D and ¹⁸O values (d parameters) of the water samples are shown in distinct two groups for the April waters of 10.1–13.1, and for the November waters of 5.8–7.9, respectively. This range variation indicates that two group water were composed of distinct waters because of seasonal difference. Geochemical modelling showed that mostly heavy toxic metals may exist largely in the form of free metal (M²⁺) and metal-sulphate (MSO₄ ^2–), and SO₄ ^2– concentration influenced the speciation of heavy metals in the mine water. These metals in the ground water could be formed of CO₃ ^– and OH^– complex ions. Using a computer program, saturation indices of albite, calcite, dolomite in mostly surface water show undersaturated and progressively evolved toward the saturation state, however, ground and mine waters are nearly saturated. The gibbsite, kaolinite and smectite are supersaturated in the surface and ground water, respectively. Calculated water-mineral reaction and stabilities suggest that the weathering of silicate minerals may be stable kaolinite. The clay minerals of K-illite and Na-smectite will be transformed to more stable kaolinite owing to the continuous reaction.     

Bayesian estimation and consequence modelling of deliberately induced domino effects in process facilities

Process facilities handling hazardous chemicals in large quantities and elevated operating conditions of temperature/pressure are attractive targets to external attacks. The possibility of an external attack on a critical installation, performed with an intention of triggering escalation of primary incidents into secondary and tertiary incidents, thereby increasing the severity of consequences needs to be effectively analysed. A prominent Petrochemical Industry located in Kerala, India was identified for studying the possibility of a deliberately induced domino effect. In this study, a dedicated Bayesian network is developed to model the domino propagation sequence in the chemical storage area of the industry, and to estimate the domino probabilities at different levels. This method has the advantage of accurately quantifying domino occurrence probabilities and identifying possible higher levels of escalations. Moreover, the combined effect from multiple units can be modelled easily and new information can be added into the model as evidences to update the probabilities. Phast (Process hazard analysis) software is used for consequence modelling to determine the impact zones of the identified primary and secondary incidents. The results of the case study show that such analyses can greatly benefit green field and brown field projects in determining the appropriate safety and security measures to be implemented or strengthened so as to reduce its attractiveness to external threat agents.     

基于感知失衡的外卖配送交通安全研究*

为降低外卖配送交通事故发生概率,通过有序多分类Logistic回归分析个体属性与交通事故关联性,构建交通安全风险感知与配送效率感知失衡模型,分析外卖配送交通安全影响因素及路径关系。结果表明:配送员年龄、入行渠道对交通事故影响显著;COVID-19健康成本感知对交通安全风险感知和配送效率感知的失衡有显著中介调节作用。要实现交通感知平衡状态,互联网平台企业有必要按配送员年龄段、就业渠道实施差异化管理,树立良好交通安全意识。研究结果可为破解外卖配送“交通文明洼地”提供启示。     

Who is susceptible and why? An agent-based approach to assessing vulnerability to drought

In this paper, we specify susceptibility to drought from a psychology-based bottom-up perspective. On the basis of the protection motivation theory (Rippetoe and Rogers in J Pers Soc Psychol 52(3):596–604, 1987), we developed the protection-capacity model (Krömker and Mosler in Global environmental change in Alpine regions: impact, recognition, adaptation, and mitigation. Edward Elgar, Cheltenham, pp 93–112, 2002) to analyse the susceptibility with respect to the protection capacity of agents. The protection capacity is determined by the agents’ subjective assessment of the situation, which consists of the appraisal of threat, on the one hand, and the coping appraisal, on the other hand. Additionally, the protection-capacity model specifies several factors which influence the two central appraisal processes. Empirical data were collected in interviews with experts and with a total of 65 exemplarily selected households which are typical for the respective case study regions (Andhra Pradesh, India; Algarve and Alentejo, Portugal; Volgograd and Saratov, Russia). The data were analysed with the help of fuzzy set methodology. Results show that the households of the Indian region are the most susceptible when compared to those of the Russian region with ‘low’ and to households of the Portuguese region with a ‘very low’ degree of susceptibility. Moreover, we identified subgroups within the regions which are characterized by different degrees of susceptibility and a different profile of factors influencing susceptibility. Altogether, the agent-based perspective allows identifying relevant factors that need to be addressed to minimize susceptibility of the population and special subgroups. However, the results are not representative for the case study regions because of the small database. Additionally, more effort is needed to validate the findings.     

基于结构分解法的长江经济带产业排水量驱动因素评估

为分析长江经济带产业排水量变化的驱动因素,以2002年、2007年和2012年长江经济带11省市投入产出表、排水估计量为基础,利用基于投入产出的结构分解法对各省市数据进行比较静态分析,对驱动产业排水量变化的因素进行分解及定量评估,包括节水减排效应、投入结构效应、需求结构效应及规模效应.结果表明:①长江经济带产业排水量由增长趋势变为下降趋势,2002—2007年排水量增长了16.9%,2007—2012年排水量降低了0.4%,2002年、2007年、2012年产业平均耗水率为46%,上海市、江苏省等省市产业排水量下降趋势明显.②规模效应是驱动各省市产业排水增加的主要因素,其在2002—2007年、2007—2012年带动排水量分别增长了67%和61%;规模效应影响逐渐分化,上海市、江苏省、浙江省规模效应带动产业排水量增幅逐渐减弱.③节水减排效应是驱动排水量减少的最主要因素,其在2002—2007年、2007—2012年带动排水量分别减少了35%和60%,节水减排效应影响逐渐增强,各省市排水强度明显降低.④长江经济带大部分省市的需求结构效应驱动产业排水量不断减少,其驱动力的绝对值呈增长趋势;投入结构效应对产业排水量的驱动力较弱且变化规律性不明显.建议长江经济带通过技术进步、应用创新等提高清洁生产能力,通过需求及投入结构优化带动产业结构调整,对进一步降低产业排水量具有一定价值.      

POC的结构参数对DMCC发动机排放影响的试验研究

在一台直列4缸增压中冷电控单体泵柴油机的进气道上增加甲醇喷射装置,实现柴油甲醇二元燃料燃烧(DMDF)模式.利用废气分析仪对其主要气体排放进行测量,研究在排气管上加装的柴油颗粒氧化催化转化器结构参数对尾气催化效率的影响,试验结果表明:POC长度越长,对碳烟、THC、和未燃甲醇的转化效果越好,甲醇替代率为30%、POC长度为100 mm时,对碳烟、CO、THC和未燃甲醇的平均净化效率分别为15.00%、91.61%、75.56%、66.96%,长度增加至200 mm后,上述效率明显提高,分别提高到30.37%、99.29%、67.55%、95.44%;POC孔密度增加,POC对碳烟、CO及未燃甲醇的转化效率有小幅增加,甲醇替代率为30%时,孔密度从200目增加到300目,对碳烟、CO和未燃甲醇的催化效率分别从19.61%、94.66%、86.07%提高到23.06%、97.44%和88.56%;POC结构参数的改变对NO_x的转化效率影响不大.     

船体钢海水腐蚀研究进展

介绍了船体钢在海水中的腐蚀行为,总结了影响船体钢耐蚀性的因素及其改善耐蚀性的方法,总结了船体钢耐海水腐蚀性能研究、测试的试验方法,分析了试验方法对评价船体钢耐蚀性的适用性,指出了当前船体钢耐海水腐蚀性能研究的问题。     

土壤体系中的化学动力学方程及其应用

本文介绍了土壤体系中常用的化学动力学方程，分析和比较了它们的适用条件，并探讨了它们在土壤肥力与环境保护中的实际应用。     

外源硅对土壤镉吸附特性的影响

通过吸附等温试验,研究了不同加入量的硅对两种水田土壤吸附镉特性的影响。实验中调节介质的pH值至中性,从而消除了因硅酸盐的加入对土壤pH产生的影响。结果表明:在硅的加入量相同时,pH值较低的土壤对镉的吸附量要低于pH值较高的土壤;镉的加入质量浓度为0～50mg·L-1时,应用Freundlich方程拟合土壤对镉的吸附等温线效果最好;外源硅的加入量在0～120mg·L-1范围内时,随硅的加入量的增加土壤对镉的吸附量会有不同程度的降低。由此推断,对于以往研究发现的外源硅能够降低土壤镉的有效性、缓解植物的镉毒害作用,并非是促进了土壤对镉的吸附,而是可能存在着其他机制,这有待于进一步研究。