Ultrafine particle emission characteristics of diesel engine by on-board and test bench measurement

This study investigated the emission characteristics of ultrafine particles based on test bench and on-board measurements. The bench test results showed the ultrafine particle number concentration of the diesel engine to be in the range of (0.56-8.35) × 10⁸ cm^-3. The on-board measurement results illustrated that the ultrafine particles were strongly correlated with changes in real-world driving cycles. The particle number concentration was down to 2.0 × 10⁶ cm^-3 and 2.7 × 10⁷ cm^-3 under decelerating and idling operations and as high as 5.0 × 10⁸ cm^-3 under accelerating operation. It was also indicated that the particle number measured by the two methods increased with the growth of engine load at each engine speed in both cases. The particle number presented a "U" shaped distribution with changing speed at high engine load conditions, which implies that the particle number will reach its lowest level at medium engine speeds. The particle sizes of both measurements showed single mode distributions. The peak of particle size was located at about 50-80 nm in the accumulation mode particle range. Nucleation mode particles will significantly increase at low engine load operations like idling and decelerating caused by the high concentration of unburned organic compounds.     

Diagnosis of famine: a discursive contribution

This paper recommends the incorporation of an additional discursive dimension in famine diagnosis that draws on the number of reports referring to famine in the United Nations Office for the Coordination of Humanitarian Affairs (OCHA)'s ReliefWeb database. Present‐day diagnostic tools already apply the principle of triangulation with multiple indicators; the addition of a discursive diagnostic dimension would enable even more refined analysis, allowing more forcefully for the incorporation of the aspect of change. The newly devised discursive famine indices are used both to identify famines—in Ethiopia (2000), Malawi (2002), and Somalia (2011)—and to analyse key socioeconomic determinants of famine. The study finds that income (or poverty) together with state fragility appear to be the major determinants of cross‐country variations in famine reporting, while political regimes do not appear to have any independent effect. The indices appear largely robust with regard to concerns about cross‐country, semantic, and temporal biases.     

Aliphatic and polycyclic aromatic hydrocarbons in the bottom sediments from Klaipėda Harbour,Lithuania (Baltic Sea)

A total of 22 bottom surface sediment samples were collected from Klaip?da Harbour, Lithuania (Baltic Sea). Sediment parameters, such as grain size and concentrations of total organic carbon, aliphatic hydrocarbons (ALHs) and polycyclic aromatic hydrocarbons (PAHs), were determined. Hydrocarbon contamination levels in the sediments were estimated based on classifications provided in the literature, and potential biological effects were assessed based on the effects range low–effects range median values of the Sediment Quality Guidelines and on the total toxic benzo(a)pyrene equivalent. The results demonstrated that concentrations of PAHs and total aliphatic hydrocarbons in the sediments varied between 1.6 and 5456?ng?g^?1 d.w. and 6.9 and 727?μg?g^?1 d.w., respectively. In most cases, the concentrations of ALHs and PAHs in the sediments indicated low to moderate levels of pollution and were not observed to have any significant adverse effects on living biota. To determine possible sources of hydrocarbons, hydrocarbon compositions were analysed, and ALHs’ and PAHs’ specific diagnostic ratios were calculated. According to the results, the Klaip?da Harbour bottom sediments were dominated by PAHs of pyrogenic origin, whereas the origin of ALHs was mixed, that is, anthropogenic with a biogenic (aquatic and terrestrial) input.     

Source Type Evaluation of Polycyclic Aromatic Hydrocarbons (PAHs) in Surface Sediments from the Muar River and Pulau Merambong,Peninsular Malaysia

This article is the most recent report of polycyclic aromatic hydrocarbons (PAHs) in the Muar River and Pulau Merambong, Peninsular Malaysia. A total of 16 priority pollutant PAHs in addition to methylphenanthrene among alkylated PAHs were analyzed in surface sediments during May 2013. Total PAHs ranged from 212 to 440 and 151 to 412 ng g^?1 dw in sediments from the Muar River and the Pulau Merambong, respectively. The Muar River showed an increasing trend of PAH concentrations, while no previous data exist for the Pulau Merambong. Generally, mixed petrogenic and pyrogenic sources of PAHs with predominance of the latter were detected in the study area. Effective management of oil pollution has caused a drastic decrease in petrogenic sources of PAHs.     

南京冬季市区和郊区气溶胶中PAHs浓度的昼夜特征及粒径分布

为了研究南京市区与郊区气溶胶中多环芳烃(PAHs)污染状况和分布特征,利用气-质联用仪(GC-MS)分析了2010年1月1～10日日间和夜间分别在南京大学和南京信息工程大学采集的气溶胶样品,得到南京市区与郊区17种PAHs浓度,总浓度分别为41.36～220.35 ng.m-3和45.10～200.86 ng.m-3,其中约66%～67%分布于细粒子(Dp≤2.1μm)中.研究发现,南京市区和郊区气溶胶中PAH总浓度均处于较高的水平;但两者昼夜变化趋势不同,即市区PAH总浓度日间高于夜间,郊区PAH总浓度日间低于夜间.主导风向的改变和高压天气系统对PAH浓度变化影响较大;在市区其影响主要表现在细粒子部分,而郊区主要表现在粗粒子部分.市区和郊区不同环数的PAHs粒径分布不同;2～3环PAHs,郊区含量高于市区;而4～6环PAHs,市区含量高于郊区.高环数(4～6环)PAHs在粗模态出现较大浓度峰可能是由于南京地区粗模态气溶胶中碳含量较高.市区和郊区相似的特征比值说明两者的PAHs具有相同污染来源,主要为生物质及煤的燃烧和汽车尾气,表明南京市区PAHs受到郊区工业源排放影响较大.     

自然风化条件下原油中金刚烷的风化规律

以渤海2个原油作为研究对象进行自然风化实验,探讨了原油中金刚烷化合物的分布情况及其风化规律.结果表明,经过100 d的室外自然风化,原油中金刚烷的分布已经发生了较大的改变：风化损失程度与金刚烷化合物的沸点有关,风化初期单金刚烷损失严重,风化45 d,单金刚烷完全消失;双金刚烷浓度变化较小,有较好的抗风化稳定性;通过t检验分析,所选取诊断比值中,单金刚烷指标A6、A8、A12和双金刚烷指标A16、A17、A18较为稳定,能很好地指示自然风化20 d内油样的来源;双金刚烷指标A17、A18风化100 d非常稳定,可用于长期自然风化油样来源鉴别,金刚烷化合物诊断比值对于溢油鉴别具有重要的意义.     

兰州市典型企业VOCs排放特征及反应活性分析

基于兰州市大气VOCs排放清单,选取石化厂、乙烯厂、涂料厂3个典型企业采集VOCs样品,分析其无组织排放特征,并采用MIR（最大增量反应活性）法和LOH（·OH反应速率）法综合评价其化学反应活性,识别各企业的VOCs活性优势物种,同时探究不同企业特征VOCs比值.结果表明:不同排放源φ（VOCs）差异较大,范围为20.8×10-9~6 520.3×10-9.从VOCs物种构成上来看,涂料厂芳香烃占比最高,而石化厂、乙烯厂均以烷烃物种最为丰富,石化厂不同工艺VOCs物种构成略有差异.从活性上看,涂料厂VOCs活性最高,其LOH和OFP（臭氧生成潜势）分别为2 676.9 s-1和72 519.0×10-9,约为其他行业的18~1 000倍,间/对-二甲苯、乙苯、邻二甲苯等物种活性较大;其次为石化厂,其LOH和OFP分别为273.2 s-1和4 039.1×10-9,正戊烷、异戊烷、乙烯、丙烯等物种活性贡献率高,其中柴油工艺对石化厂VOCs活性贡献率最大;乙烯厂的OFP最低,其LOH和OFP分别为4.6 s-1和69.7×10-9,其VOCs活性主要来自乙烯、丙烯、正丁烯等烯烃物种.各工业源BTEX（苯、甲苯、乙苯及3种二甲苯异构体的合称）分布具有一定的差异,对于指示不同VOCs来源有一定的参考价值,但不同源比值的重叠性也表明并非全部VOCs来源可以通过特征物种比值来区分.研究显示,控制工业源特别是涂料与石化工业VOCs的排放有助于控制兰州市O₃的生成.      

吉林省的风能潜力(英文)

近两年我国电力突然短缺,已经引起政府的高度重视。由于我国风电发展的紧迫性和风电发展的潜力,特别是国际上正在如火如荼地开发风电的情景,中国- 奥地利政府间双边合作计划将风电评估列入2001～2003 年度合作计划,论文是该计划的成果之一。以我国吉林省为研究对象,采用广泛使用的风机选址算法和空间分布诊断程序( WAsP和ZAWIMOD2),运用数字地形图和遥感资料获得的土地利用图,进而得到数字化的表面粗糙度,再对吉林省的风能潜力进行估算。完成了近1km² 分辨率的距地面60m高度的风速和风能密度计算,并制作了它们的分布图。这是我国第一次在较大区域上估算距地面60m 高度的风速和风能密度,其方法对我国风电资源的评估有重要的借鉴作用。结果显示最有效的风能资源在吉林省的中西部地区,而南部和东部的高风资源区位于山脊和山顶,对风能的开发有一定的限制。