中美固定源烟气排放连续监测系统对比浅析

简述了我国烟气排放连续监测系统(CEMS)概况;介绍了美国CEMS体系及先进的管理经验,并从CEMS运营责任主体、管理依据、审核与管理模式以及数据应用等方面对中美CEMS体系进行了对比分析,在此基础上,提出了我国CEMS存在的问题和相应的对策建议.     

ACP1000除气塔液体冷却器抗震分析设计

目的对除气塔液体冷却器进行抗震分析,以确保其在地震下必要的安全功能。方法以福清5/6号核电工程为背景,通过有限元软件ANSYS建立除气塔液体冷却器有限元模型,采用反应谱法进行设备的抗震分析与评定。结果通过抗震分析评定,发现设备鞍座为设计薄弱区域,故修改鞍座的结构形式,包括新增筋板、增加壁厚,使该设备的设计满足了相关规范的要求。结论通过修改鞍座的结构形式,确保其必要的安全功能得以实现,满足实际工程的需要。     

电子垃圾的处理技术

本文着重探讨电子垃圾资源化的先进工艺——人工拆解、粉碎／分选、电析、精炼回收贵金属,从不能直接再利用的电子垃圾中,低成本、低污染、高效率地回收金属、塑料、玻璃等原料投入再生产符合循环经济理念。     

电子元器件的腐蚀

电子元器件在大气环境下,因潮湿及其它条件下会发生大气腐蚀,从而导致其材料产生腐蚀,电子结构系统发生故障如短路、点接触不良等.本文简单论述了因空气污染、塑料和有机物分解气体等导致的电子元器件的大气腐蚀原理及原因.     

大型CFB锅炉安全问题与对策

根据CFB锅炉运行的特点,重点分析了大型CFB锅炉存在的锅炉磨损、冷渣器故障、给煤系统故障、浇注料破坏脱落以及锅炉膨胀等安全问题,提出对策措施。     

Mercury levels and estimated total daily intakes for children and adults from an electronic waste recycling area in Taizhou, China: Key role of rice and fish consumption

In order to assess the potential health risks of Hg pollution, total mercury (T–Hg) and methyl mercury (MeHg) concentrations were determined in air, dust, surface soil, crops, poultry, fish and human hair samples from an electronic waste (e-waste) recycling area in Taizhou, China. High concentrations of T–Hg and MeHg were found in these multiple matrices, and the mean concentration was 30.7 ng/m³ of T–Hg for atmosphere samples, 3.1 μg/g of T–Hg for soil, 37.6 μg/g of T–Hg for dust, 20.3 ng/g of MeHg for rice and 178.1 ng/g of MeHg for fish, suggesting that the e-waste recycling facility was a significant source of Hg. The inorganic Hg (I–Hg) levels (0.84 μg/g) in hair samples of e-waste workers were much higher than that in the reference samples. Pearson''s correlation coefficients showed that strong positive correlations (p < 0.01) between hair I–Hg and time staying in industrial area (r = 0.81) and between MeHg and fish consumption frequency (r = 0.91), imply that workers were mainly exposed to Hg vapor through long-time inhalation of contaminated air and dust, while other population mainly exposed to MeHg through high-frequency fish consumption. The estimated daily intakes of Hg showed that dietary intake was the major Hg exposure source, and Hg intakes from rice and fish were significantly higher than from any other foods. The estimated total daily intakes (TDIs) of MeHg for both children (696.8 ng/(kg·day)) and adults (381.3 ng/(kg·day)) greatly exceeded the dietary reference dose (RfD) of 230 ng/(kg·day), implying greater health risk for humans from Hg exposures around e-waste recycling facilities.     

废弃电池能否进入废弃电器电子产品处理目录（第二批）管理的筛选评估分析

2009年2月,国务院发布《废弃电器电子产品回收处理管理条例》,成为我国废弃电器电子产品回收处理的纲领性文件。在《废弃电器电子产品处理目录（第一批）》中,明确将电视机、电冰箱、洗衣机、房间空调器、微型计算机等5种产品纳入第一批目录。同时,为了为了能够及时、客观地与经济发展、技术进步以及电器电子产品行业的发展变化等相适应,《目录》管理委员会起草了《制订和调整废弃电器电子产品处理目录的若干规定》,明确随着经济发展变化及电子产品废弃形势调整电器电子产品处理目录的原则。废弃电池在近几年来在我国增长速度很大,将来的管理形势十分紧迫。本文在此分析我国几种废弃电池（铅酸电池、镍氢电池及锂电池）的产生量、再生处理处置情况及管理政策导向。并在目录一批筛选原则的基础上利用权重分析法,筛选评估废弃电池能否进入废弃电器电子产品处理目录（第二批）管理的可能,研究显示铅酸电池已具备进入管理目录的资质。     

电子废弃物聚丙烯制备木塑复合材的研究

探讨了电子废弃物聚丙烯(PP)制备木塑复合材料(WPC)的可行性及其主要影响因子。研究结果表明:电子废弃物PP具备制备木塑复合材料的可行性,PP和木纤维混合比例是影响WPC性能的关键因子之一,加入适量的PPg-MAH有利于提高WPC的力学性能,并大幅度降低其吸水性,当PP与木纤维比例为60∶40,PP-g-MAH使用量为10%时,WPC可获得较好的综合性能指标。     

废弃电池能否进入废弃电器电子产品处理目录(第二批)管理的筛选评估分析

2009年2月,国务院发布《废弃电器电子产品回收处理管理条例》,成为我国废弃电器电子产品回收处理的纲领性文件。在《废弃电器电子产品处理目录(第一批)》中,明确将电视机、电冰箱、洗衣机、房间空调器、微型计算机等5种产品纳入第一批目录。同时,为了为了能够及时、客观地与经济发展、技术进步以及电器电子产品行业的发展变化等相适应,《目录》管理委员会起草了《制订和调整废弃电器电子产品处理目录的若干规定》,明确随着经济发展变化及电子产品废弃形势调整电器电子产品处理目录的原则。废弃电池在近几年来在我国增长速度很大,将来的管理形势十分紧迫。本文在此分析我国几种废弃电池(铅酸电池、镍氢电池及锂电池)的产生量、再生处理处置情况及管理政策导向。并在目录一批筛选原则的基础上利用权重分析法,筛选评估废弃电池能否进入废弃电器电子产品处理目录(第二批)管理的可能,研究显示铅酸电池已具备进入管理目录的资质。     

Non-linear autoregressive neural network approach for inside air temperature prediction of a pillar cooler

The volcanic plate made pillar cooler system is designed for outdoor spaces as a heat exchanging medium and reduces the outcoming air temperature which flows through the exhaust port. This paper proposes the use of artificial neural networks (ANNs) to predict inside air temperature of a pillar cooler. For this purpose, at first, three statistically significant factors (outside temperature, airing and watering) influencing the inside air temperature of the pillar cooler are identified as input parameters for predicting the output (inside air temperature) and then an ANN was employed to predict the output. In addition, 70%, 15% and 15% data was chosen from a previously obtained data set during the field trial of the pillar cooler for training, testing and validation, respectively, and then an ANN was employed to predict inside air temperature. The training (0.99918), testing (0.99799) and validation errors (0.99432) obtained from the model indicate that the artificial neural network model (NARX) may be used to predict inside air temperature of pillar cooler. This study reveals that, an ANN approach can be used successfully for predicting the performance of pillar cooler.