PM2.5, PM10 and health risk assessment of heavy metals in a typical printed circuit noards manufacturing workshop

A typical Printed Circuit Board（PCB） manufacturer was chosen as the object of this study.During PCB processing, fine particulate matter and heavy metals（Cu, Zn, Pb, Cr, Cd and Ni）will be released into the air and dust, which then impact workers＇ health and the environment. The concentrations of total suspended particle（TSP）, PM10 and PM2.5in the off-site were 106.3, 90.0 and 50.2 μg/m3, respectively, while the concentrations of TSP, PM10 and PM2.5in the workshops ranged from 36.1 to 365.3, from 27.1 to 289.8 and from 22.1 to212.3 μg/m3, respectively. Almost all six of the heavy metals were detected in all of the particle samples except Cd. For each workshop, it was obvious that Zn was the most enriched metal in TSP, followed by Cu 〉 Pb（Cr） 〉 Ni 〉 Cd, and the same trend was found for PM10 and PM2.5. In the dust samples, Cu（which ranged from 4.02 to 56.31 mg/g） was the most enriched metal, followed by Zn, Cr, Pb, Ni and Cd, and the corresponding concentrations ranged from 0.77 to 4.47, 0.37 to 1.59, 0.26 to 0.84, 0.13 to 0.44 and nd to0.078 mg/g, respectively. The health risk assessment showed that noncancerous effects are unlikely for Zn, Pb, Cr, Cu, Cd and Ni. The carcinogenic risks for Cd and Ni were all lower than 10-6, except for Cr. This result indicates that carcinogenic risks for workers are relatively possible in the workshops. These findings suggest that this technology is advanced from the perspective of environmental protection in the waste PCB＇s recycling industry.     

印制电路板制造业结构优化调整思路探讨

以某典型城市为例,调查印制电路板制造业的经济技术发展现状和污染防治水平,分析该行业的对经济发展的带动作用、对电子信息业的配套作用和对环境的污染影响。在此基础上,提出产业调整思路和淘汰退出机制建议,以期为类似的重污染行业产业政策制定提供决策参考。     

Energy based phenomenological model for optimizing the sheared edge in the trimming of steels

Attributes related to the dimensional quality of hot rolled steels are very important in commercial sectors that make direct use of this product, because delay or equipment damage can be avoided when forming in downstream operations. In this research, the steel sheet edge trimming process and its relationship with the defect known as broken edge is experimental and numerically studied. The type of material, horizontal clearance between knives and the energy spent during the cutting process are analyzed in detail. A metal-mechanical study is carried out for obtaining a microstructural hardness and flow stress characterization. Consequently, the edge trimming process is FEM simulated and its results in relation to knife penetration and shear stress lead to determining the energy spent during the cutting process. A mathematical model is determined under the consideration that minimum energy gives the optimum cutting conditions. The model proposes a reliable value for the horizontal clearance (H_c), between knives, taking as the principal factors: energy consumed during the edge trimming process, sheet thickness (T_h), carbon content (C) and/or its ultimate tensile strength, expressed as: H_c = α + βT_h − γC. A comparison of the recommended numerical results with the best practical conditions is carried out and a high coincidence is successfully found. This model is expected to be easily adopted as a tool where operators can adjust and control the parameters of process, and then, as a result, produce a sheet without edge trimming defects as well as a reduction in efficiency costs.     

Factors affecting the musculoskeletal disorders of workers in the frozen food manufacturing factories in Thailand

The purpose of this research was to study factors affecting musculoskeletal disorders. The sample population of the study was 528 factory workers from the frozen food industry, as well as a controlled group of 255 office workers. The samples were collected during interviews using the Nordic questionnaire to assess musculoskeletal disorders, and to assess the risk by the rapid upper limb assessment and rapid entire body assessment techniques. The findings of the study were that most symptoms were found in the dissecting department, higher than in the controlled group. The details of the symptoms were, accordingly: elbow pain (adjusted odds ratio, 35.1; 95% CI [17.4, 70.9]). Regarding the risk of alcohol drinking, workers were exposed to more risks when alcohol was consumed. It is suggested that workers’ health should be monitored regularly. People who work in a cold environment should be encouraged to wear body protection and to avoid drinking.     

High efficiency of the NH4H2PO4/Mg(OH)2 composite for guaranteeing safety of wood production

Currently, China's timber industry is in high demand with the development of real estate. However, there is a certain fire hazard in the production process of wood manufacturing. Once a fire occurs, the fire is violent and the spread is rapid. Therefore, to improve the safety of its production process, ammonium dihydrogen phosphate and magnesium hydroxide were selected to prepare a new composite superfine dry powder, which was denoted as the NH₄H₂PO₄/Mg(OH)₂ composite. Furthermore, to figure out dry powders' extinction effect on Class A fire, the wood-crib fire suppression effect of the NH₄H₂PO₄/Mg(OH)₂ composite was test, and then compared with that of ultrafine dry powder (UDP) and commercial ABC dry powder (C-ABC) in a 1 m³ chamber. Three parameters of the fire extinguishing process, namely flame extinction time, powder consumption and temperature drop were adopted to measure the fire suppression performance. The results demonstrated that UDP and C-ABC both had a larger flame extinction time and powder consumption than the NH₄H₂PO₄/Mg(OH)₂ composite. Besides, a fire (wood cribs) can be extinguished by the NH₄H₂PO₄/Mg(OH)₂ composite with the fastest temperature drop and a much-improved toxic gas suppression ability. In short, the NH₄H₂PO₄/Mg(OH)₂ composite can better guarantee the safety of the wood processing production process. Moreover, the reasons for performance advantages of the NH₄H₂PO₄/Mg(OH)₂ composite were discussed.     

区块链如何推动制造业绿色发展？——基于环保重点城市的准自然实验

通过构造不同所有制企业应用区块链技术情形下的目标函数与行为动机模型,分析区块链发展水平对制造业数字化全要素生产率的作用机制,并以区块链产业兴起为准自然实验,利用双重差分法基于2003~2017年我国93个环保重点城市的面板数据系统评估区块链技术对制造业绿色发展的影响.研究表明,区块链的应用能够倒逼企业实现以效率提高为特征的绿色转型,二氧化硫排放量和治污成本分别降低26%和17%,并且在使用了工具变量、三重差分、PSM-DID、安慰剂等多种方法进行检验后结论依然稳健.此外,中介效应分析显示当前阶段绿色技术创新对制造业绿色发展的促进作用优于数字化全要素生产率和能源利用效率.最后,基于企业所有权特征的异质性分析显示国有区块链企业在促进制造业绿色转型中的表现优于非国有企业,而基于城市特征的异质性分析发现区块链企业对二产占比高和单位GDP能耗高的城市制造业转型促进效应更强.本文丰富了区块链应用与实体经济发展领域内的理论研究,有助于更全面的认识数字经济影响我国制造业绿色发展的作用机制,为更加科学与精准制定区块链发展战略提供了政策启示.     

典型电器工业区河涌沉积物中有机污染物特征分析

为评估制造业对纳污水体有机物的污染影响,了解污染河道中有机物的种类、含量及赋存特性,采用极性和非极性逐步分离的方法对广东佛山市顺德区容桂街道内河涌沉积物中的有机物进行了综合的物理图谱解析研究.结果表明,污染沉积物中共检出包括烷烃类、烯烃类、多环芳烃、苯系物、杂环类、邻苯二甲酸酯类、醛酮、极性化合物、含硅物质以及烷酸酯类等10大类有机污染物共171种.按检出污染物种类的数量分析,烷烃类>极性化合物>多环芳烃>醛酮类>杂环>苯系物、邻苯二甲酸酯类>烷酸酯类>含硅物质>烯烃.按照有机物相对丰度分析,烷烃类>极性化合物>烷酸酯类>烯烃类>多环芳烃>邻苯二甲酸酯类>含硅物质>醛酮>杂环类>苯系物.在相对含量最高的烷烃类有机污染物中,十九烷在同类物质中占比高达14.83%.毒害性持久性有机污染物多环芳烃的总有机物占比为2.33%,检测中还发现大量有机醇、酚等和涂料工业,邻苯二甲酸酯类等塑料工业以及和电子工业产业相关的有机硅类等物质.和同类研究相比,该区域检出51种、占总有机物55.5%丰度的烷烃类物质种类更丰富,含量更高.本研究对制造业纳污河涌沉积物的有机污染物分析研究,为同质污染河涌的污染治理提供参考.     

电子产品加工制造企业挥发性有机物(VOCs)排放特征

根据美国EPA挥发性有机物标准检测法TO-11及TO-14/15,采用VOCs快速检测仪、Summa罐及DNPH吸附管,对我国某大型电子产品加工制造企业中不同工艺环节生产车间内部及生产线最终废气排放管道中VOCs含量水平及组分特征进行检测.结果表明,该企业涉及VOCs排放工艺中压铸车间总挥发性有机物(TVOCs)浓度为0.1~0.5 mg·m-3、机加工车间TVOCs浓度为1.5~2.5 mg·m-3、喷涂车间中TVOCs浓度为20~200 mg·m-3,各车间VOCs组分主要包括烷类、烯炔类、芳香类、酮类、酯类和醚类,共20余种.其中涂装车间内苯系物及酮类物质为主要VOCs组分,各物质浓度分别为苯0.02~0.34 mg·m-3、甲苯0.24~3.35 mg·m-3、乙苯0.04~1.33 mg·m-3、对二甲苯0.13~0.96 mg·m-3、邻/间二甲苯0.02~1.18mg·m-3、丙酮0.29~15.77 mg·m-3、2-丁酮0.06~22.88 mg·m-3、环己酮0.02~25.79 mg·m-3、甲基异丁基甲酮0~21.29mg·m-3.根据该企业生产特征及工艺数据计算,其单条生产线VOCs年排放量为14 t,整个厂区年排放量约为840 t.结合生产流程及生产工艺分析,喷涂过程中的溶剂使用是电子产品加工制造企业的VOCs主要排放来源,废气排放口是重点排放点.     

“双碳”目标背景下我国绿色制造体系建设路径研究

绿色制造是一种与生态文明建设相协调的先进制造模式,把绿色理念和绿色工艺技术贯穿于制造业全产业链,追求从设计、制造、包装、运输、使用到报废处置整个生命周期中,环境影响最小化,资源利用最大化。2016年以来,我国绿色制造体系建设扎实推进,绿色产品、绿色工厂、绿色园区和绿色供应链全面发展,绿色制造产业不断发展壮大,有力地支撑了工业绿色低碳转型。本文总结了近年来我国绿色制造体系建设的主要进展,分析了未来绿色制造体系建设的重点方向和路径,新时期应该在碳达峰碳中和目标愿景下深入推进绿色制造体系建设,把增加绿色产品有效供给作为绿色制造体系建设的关键着力点,以数字化智能化为驱动提升绿色制造的广度和深度,同时不断深化绿色制造国际共识,提升我国制造业国际形象和影响力。最后从完善相关政策法规与标准体系、强化绿色低碳技术创新应用、构建产业生态体系和加强国际合作等方面提出了有关对策建议。