Industrial application of parallel integrated cyclone separator equipment in the ethylene decoking system

For removing particulate pollutants from the coke burning tail gas of an ethylene pyrolysis furnace more effectively, a new parallel integrated cyclone separator has been devising and operating stably in the decoking system for five years. Industrial online supervision indicated that the separate efficiency of the equipment in collecting fine particulate pollutants from the ethylene pyrolysis furnace exceeded 95% and almost all of the larger coke particles are removed after cyclone separation. The volume of coke powder in the gas outlet accounts for only 2% of the total and the new parallel integrated cyclone separator ensuring the dust content of the exhausted tail gas to remain below required levels.     

室内颗粒物的健康效应及控制标准

为了深入了解室内颗粒物对人体的危害,分析影响颗粒物对人体危害的因素,讨论相关控制标准,指出我国相关控制标准存在的问题,并对相关标准的修订提出一些建议。     

掺K纳米LaMnO3催化分解柴油机PM排放的研究

用K+取代纳米LaMnO3催化剂中20%的La3+,制备了纳米催化剂La0.8K0.2MnO3,利用SEM和BET方法对其结构进行表征。在试验台架上研究了排气温度对催化分解碳烟排放的影响,利用SEM和EDS对La0.8K0.2MnO3催化分解前后的颗粒物(particular matter,PM)样品进行对比分析。研究结果表明:2种催化剂均属于纳米级颗粒,La0.8K0.2MnO3催化分解碳烟效果较好;La0.8K0.2MnO3催化分解后,PM样品的粒径变小,排列更致密,C含量显著降低。     

基于GOCI影像反演湖泊悬浮物和叶绿素a含量的研究述评

悬浮颗粒物和叶绿素a是两个重要的湖泊水质参数,常用来衡量湖泊的富营养化程度。阐述了基于GOCI数据的湖泊悬浮颗粒物和叶绿素a浓度反演的研究现状,分析了几种大气校正方法对于GOCI数据的适宜性,发现基于6S模型的大气校正取得的效果最好。对比了GOCI的几种用于叶绿素a和悬浮颗粒物反演的模型,发现基于经验方法的反演虽然简单易行,但缺乏物理依据;基于分析方法的反演机制明确,但较难实现;基于半分析方法的反演是统计水质参数的光谱特征,建立遥感数据的波段组合与水质参数值之间的定量关系,进而估算水质参数含量,此方法较易实现且有一定物理意义。最后,通过总结现状,对利用GOCI反演水体指标的发展提出了一些自己的见解。     

喷油参数对PODE/柴油混合燃料燃烧污染物排放的影响

以柴油(P0)、聚甲氧基二甲醚(PODE)/柴油混合燃料(P10和P20)为对象,在高压共轨柴油机上,考察其在不同喷油压力和喷油正时下的燃烧排放特性及颗粒物排放规律.结果表明:随混合燃料中PODE体积分数的增加,燃料燃烧缸内压力和放热率峰值有所降低;随着喷油压力的提高,3种燃料的CO、碳氢化合物(HC)和烟度排放均明显...     

烟气选择性催化还原脱硝-半干法脱硫除尘一体化技术

针对陕西延长石油(集团)有限责任公司延安石油化工厂循环流化床锅炉烟气不达标的问题,采用选择性催化还原脱硝-半干法脱硫除尘一体化工艺对烟气进行了综合治理。结果表明：采用该工艺后,排放的总烟气中NO_x,SO₂,颗粒物的平均质量浓度依次为16.87,7.67,0.42 mg/m³,可满足DB 61/1226—2018污染物排放要求。     

Indoor Air Quality Investigation on Commercial Aircraft

Abstract Sixteen flights had been investigated for indoor air quality (IAQ) on Cathay Pacific aircraft from June 1996 to August 1997. In general, the air quality on Cathay Pacific aircraft was within relevant air quality standards because the average age of aircraft was less than 2 years. Carbon dioxide (CO₂) levels on all flights measured were below the Federal Aviation Administration (FAA) standard (30,000 ppm). The CO₂ level was substantially higher during boarding and de-boarding than cruise due to low fresh air supply. Humidity on the aircraft was low, especially for long-haul flights. Minimum humidity during cruise was below the American Society of Heating, Refrigerating, and Air-Conditioning Engineers (ASHRAE) minimum humidity standard (20%). The average temperature was within a comfortable temperature range of 23±2°C. The vertical temperature profile on aircraft was uniform and below the International Standard Organization (ISO) standard. Carbon monoxide levels were below the FAA standard (50 ppm). Trace amount of ozone detected ranged from undetectable to 90 ppb, which was below the FAA standard. Particulate level was low for most non-smoking flights, but peaks were observed during boarding and de-boarding. The average particulate level in smoking flights (138 (ig/m3) was higher than non-smoking flights (7.6 μg/m³). The impact on IAQ by switching from low-mode to high-mode ventilation showed a reduction in CO₂ levels, temperature, and relative humidity.     

室内颗粒物的来源和特点研究

分析了国内外在室内颗粒物的来源和室内外颗粒源对室内颗粒物浓度的影响方面的研究进展。指出了目前研究中存在的问题,并对未来的研究方向进行了展望。     

The Effect of Micro Damage on Time-Dependent Crack Growth in a Composite Solid Propellant

The damage characteristics near the crack tip and crack growth behaviorin a centrally cracked sheet specimen of a solid propellant wereinvestigated. The specimen was subjected to a constant crosshead speed of0.508 mm/min at room temperature. The effects of local damage andfracture process near the crack tip on crack growth behavior wereinvestigated and results are discussed.     

基于扫描核探针技术的大气气溶胶单颗粒物源识别与解析方法研究与应用

将高分辨、高灵敏的扫描核探针(SNM)技术与人工神经网络(ANN)模式识别方法相结合,以单个气溶胶颗粒物化学表征为基础,开展大气气溶胶源识别与解析的新方法研究。摸索出单颗粒气溶胶SNM靶样的制备方法。建立了SNM多站多参量分析模式的数据获取系统和分析条件。用SNM测定了单个大气气溶胶粒子的元素谱特征。基于标准的误差反向传输神经网络算法,建立ANN模式识别系统,直接对单个气溶胶粒子的SNM分析能谱模式进行识别,判别其来源,计算源的贡献率。将建立的方法初步应用于上海市大气PM10源识别与解析研究。结果表明该方法解析能力强,解析结果客观,具有查找未知污染源、解析低浓度污染源的特点。