杭州灰霾天气超细颗粒浓度分布特征

利用快速迁移率粒径谱仪(FMPS)对杭州2013年12月6～11日连续灰霾天气和灰霾消退过程超细颗粒进行监测,分析颗粒物浓度变化和粒径谱分布特征及其与气象的相关性.结果表明,颗粒物日变化特征为夜晚数浓度较高,凌晨数浓度开始降低,08:00和18:00上下班高峰期出现一个小峰值,体现出明显的交通源峰值,表明交通排放对大气污染影响较大.灰霾天气下颗粒物最高数浓度达到8.0×104cm-3.粒径谱呈双峰分布,峰值粒径分别为15 nm和100 nm,粒径在100 nm附近的粒子占大多数,粒子以爱根核模态和积聚模态为主,平均数量中位径CMD(count medium diameter)为85.89 nm.而在灰霾消退过程,颗粒物数浓度降低,峰值粒径向小粒径演变,粒径在100 nm附近的粒子逐渐减少,核模态粒子增多,大于积聚模态,平均CMD为58.64 nm.气象因素中能见度和风力与数浓度主要呈负相关,相关系数R分别为-0.225和-0.229,相对湿度与数浓度正相关,相关系数R为0.271,冬季大气比较稳定,水平温度与数浓度的相关性较小.研究灰霾天气数浓度分布和气象因素的综合影响对其形成机制及控制有重要意义.     

模拟烹饪油烟的粒径分布与扩散

烹饪油烟颗粒物粒径分布与扩散特性研究有助于解析其对室内空气质量和居民健康的影响,采用电子低压撞击器(ELPI)实时监测了油烟机开启和关闭状态下,模拟烹饪油烟发生处和3 m外位置处,0.03~10μm范围内油烟颗粒数浓度和质量浓度随粒径分布.油烟颗粒主要以655 nm以下的细颗粒为主.油烟机能够显著降低室内油烟浓度,开启油烟机后,油烟发生处颗粒数浓度从2.8×106个·cm-3降低到2.3×105个·cm-3,PM2.5(空气动力学直径≤2.5μm的颗粒)质量浓度从85.9 mg·m-3降低到6.2 mg·m-3.油烟机对PM10的净化效率高于PM2.5.油烟迅速从发生处扩散到3 m外,无通风状态下,总颗粒数浓度衰减达65%,PM2.5质量浓度衰减达75%.计算流体动力学(CFD)模拟了油烟机对油烟PM2.5质量浓度场扩散分布影响.红外摄像仪监测了油烟温度场分布扩散,以扇形向外扩散,伴随着油烟温度梯度降低.     

Sorption of polycyclic aromatic hydrocarbons (PAHs) to carbonaceous materials in a river floodplain soil

We report on sorption isotherm of phenanthrene (Phe) for river floodplain soil associated with carbonaceous materials, with particular attention being devoted to the natural loading of Phe. Our sorption experiments with original soil samples, size, and density sub-fractions showed that the light fraction had the highest sorption capacity comparable to low rank coals. In addition, the light fraction contributed most for the sorption of Phe in total soil samples. K_oc values for all fractions were in the same range, thus indicating that coal and coal-derived particles in all samples are responsible for the enhanced sorption for Phe. Sorption was strongly nonlinear and the combined partitioning and pore-filling model gave a better fit than the Freundlich sorption model. In addition, the spiked PAHs did not show the same behavior as the naturally aged ones, therefore the accessibility of indigenous background organic contaminants was reduced when coal and coal-derived particles are associated with the soils.     

Improvement of an efficient separation method for chemicals in diesel exhaust particles: analysis for nitrophenols

GOAL, SCOPE, AND BACKGROUND: Diesel exhaust is believed to consist of thousands of organic constituents and is a major cause of urban pollution. We recently reported that a systematic separation procedure involving successive solvent extractions, followed by repeated column chromatography, resulted in the isolation of vasodilatory active nitrophenols. These findings indicated that the estimation of the amount of nitrophenols in the environment is important to evaluate their effect on human health. The isolation procedure, however, involved successive solvent extractions followed by tedious, repeated chromatography, resulting in poor fractionation and in a significant loss of accuracy and reliability. Therefore, it was crucial to develop an alternative, efficient, and reliable analytical method. Here, we describe a facile and efficient acid-base extraction procedure for the analysis of nitrophenols. MATERIALS AND METHODS: Diesel exhaust particles (DEP) were collected from the exhaust of a 4JB1-type engine (ISUZU Automobile Co., Tokyo, Japan). Gas chromatography-mass spectrometry (GC-MS) analysis was performed with a GCMS-QP2010 instrument (Shimadzu, Kyoto, Japan). RESULTS: A solution of DEP in 1-butanol was extracted with aqueous NaOH to afford a nitrophenol-rich oily extract. The resulting oil was methylated with trimethylsilyldiazomethane and subsequently subjected to GC-MS analysis, revealing that 4-nitrophenol, 3-methyl-4-nitrophenol, 2-methyl-4-nitrophenol, and 4-nitro-3-phenylphenol were present in significantly higher concentrations than those reported previously. DISCUSSION: Simple acid-base extraction followed by the direct analysis of the resulting extract by GC-MS gave only broad peaks of nitrophenols with a poor detection limit, while the GC-MS analysis of the sample pretreated with (trimethylsilyl)diazomethane gave satisfactorily clear chromatograms with sharp peaks and with a significantly lowered detection limit (0.5 ng/ml, approximately 100 times). CONCLUSION: The present method involving an acid-base extraction, in situ derivatization, and GC-MS analysis has shown to be a simple, efficient, and reliable method for the isolation and identification of the chemical substances in DEP.     

Spatial & temporal variations of PM10 and particle number concentrations in urban air

The size of particles in urban air varies over four orders of magnitude (from 0.001 μm to 10 μm in diameter). In many cities only particle mass concentrations (PM10, i.e. particles <10 μm diameter) is measured. In this paper we analyze how differences in emissions, background concentrations and meteorology affect the temporal and spatial distribution of PM10 and total particle number concentrations (PNC) based on measurements and dispersion modeling in Stockholm, Sweden. PNC at densely trafficked kerbside locations are dominated by ultrafine particles (<0.1 μm diameter) due to vehicle exhaust emissions as verified by high correlation with NOx. But PNC contribute only marginally to PM10, due to the small size of exhaust particles. Instead wear of the road surface is an important factor for the highest PM10 concentrations observed. In Stockholm, road wear increases drastically due to the use of studded tires and traction sand on streets during winter; up to 90% of the locally emitted PM10 may be due to road abrasion. PM10 emissions and concentrations, but not PNC, at kerbside are controlled by road moisture. Annual mean urban background PM10 levels are relatively uniformly distributed over the city, due to the importance of long range transport. For PNC local sources often dominate the concentrations resulting in large temporal and spatial gradients in the concentrations. Despite these differences in the origin of PM10 and PNC, the spatial gradients of annual mean concentrations due to local sources are of equal magnitude due to the common source, namely traffic. Thus, people in different areas experiencing a factor of 2 different annual PM10 exposure due to local sources will also experience a factor of 2 different exposure in terms of PNC. This implies that health impact studies based solely on spatial differences in annual exposure to PM10 may not separate differences in health effects due to ultrafine and coarse particles. On the other hand, health effect assessments based on time series exposure analysis of PM10 and PNC, should be able to observe differences in health effects of ultrafine particles versus coarse particles.     

300MW燃煤锅炉机组超细颗粒聚并器的实验研究

为了解决燃煤锅炉烟气中超细颗粒难以脱除的问题,基于流体动力学原理设计了一种超细颗粒聚并器,并在300 MW燃煤锅炉机组电除尘器的前置烟道中进行了实验研究。结果表明,聚并器内部存在超细颗粒之间以及超细颗粒与大颗粒之间的相互聚集行为,从而使超细颗粒数量显著减少。例如,对于粒径在2.65和10.48μm以下的颗粒,其体积比例在聚并器出口分别减少了56.7%和62.3%,在电除尘器出口的粉尘浓度减少了26.34 mg/Nm3,这表明,基于流体动力学原理的聚并器对超细颗粒的聚并作用明显,具有良好的应用前景。     

纳米镍/铁和铜/铁双金属对四氯乙烯脱氯研究

以实验室合成的纳米双金属颗粒(Ni/Fe和Cu/Fe)为反应材料,对四氯乙烯(PCE)进行脱氯试验研究.纳米金属颗粒(直径范围在1～100nm)比表面积比微米级铁颗粒高数十倍.结果表明,纳米Ni/Fe和Cu/Fe对四氯乙烯有明显的脱氯作用,且脱氯反应符合准一级反应动力学方程;在作为还原剂的铁表面镀上一薄层起催化作用的金属Ni或Cu,催化剂的存在大大降低脱氯反应活化能,提高了脱氯速率,并减少氯代副产物的产量.与零价铁及微米级双金属系统(Ni/Fe,Cu/Fe)相比,纳米颗粒对PCE的脱氯速率有明显提高,尤其是纳米Ni/Fe,标准化反应速率常数KSA为4.283 mL·m-2·h-1,分别比零价铁和微米级Ni/Fe系统快33.23倍和11.59倍.纳米Cu/Fe标准化反应速率常数KSA为1.194 mL·m-2·h-1,分别比零价铁和微米级Cu/Fe双金属系统快9.26倍和5.24倍.在相同条件下,纳米Ni/Fe脱氯速率常数KSA是纳米Cu/Fe的3.59倍.     

铁屑去除酸法地浸采铀地下水中硝酸盐的试验研究

在酸法地浸采铀过程中,硝酸及硝酸盐的广泛使用使硝酸盐在地下不断累积并扩散到地下水中,这给矿区地下水造成了一定程度的污染.本试验以铁屑为还原剂,对该地下水中NO3--N的去除进行了批试验和动态试验研究.试验结果表明,铁屑可有效去除地下水中的NO3--N,其去除率随pH值的降低而逐渐升高;溶液中共存的Ca2 、Mg2 对NO3--N的去除影响不大,而SO42-、HCO3-的存在可明显降低NO3--N去除率;铁屑最佳投加量为120 g/L,铁炭最佳体积比为1∶1;二级柱可以明显提高柱子的稳定运行时间,在55 h内NO3--N去除率可保持在93%以上,去除效果较好.     

玻璃弹簧负载镶嵌纳米粒子TiO2膜光催化降解活性深蓝K-R

以玻璃弹簧负载镶嵌纳米粒子的TiO2膜降解活性深蓝K-R模拟废水,考察了pH值和温度对脱色率的影响以及CODCr去除率与脱色率之间的关系,并用XRD和SEM对催化剂进行了表征.结果表明,pH值和温度对脱色率均有显著影响,CODCr去除率与脱色率的比值约为70%左右;XRD表明,TiO2矿相主要为锐钛型,SEM表明,镶嵌TiO2粒子均匀,粒径约50nm.     

河口近岸水体中颗粒态重金属的潮周期变化

对长江口崇明东滩近岸水体中颗粒态重金属的潮周期变化特征及其影响机制进行了研究.结果表明,受粒度影响,底层水体中颗粒态Cu、Pb、Fe、Mn、Zn、Cr、Al的总量分别高出表层沉积物的184%、99%、56%、62%、147%、50%和45%,其中Cu、Pb、Fe、Mn、Zn、Al可还原态部分在底层水体悬浮颗粒物中的含量也明显高出表层沉积物的2～3倍,但与重金属总量相比,上述元素的可还原态部分所占比例与表层沉积物相差不大.在5次潮汐循环过程中,颗粒态重金属均在涨潮初期、高平潮前后及落潮末期出现较高含量.这种变化主要与水动力条件有关,当水体流速增大时,从底部沉积物再悬浮起来的颗粒态重金属对水体中的永久性悬浮颗粒起了很大的稀释效应.水体中的盐度、DO及pH等环境因子对潮周期内颗粒态重金属的变化影响不大.