南京冬季雾霾过程中气溶胶粒子的微物理特征

2007年冬季南京雾外场试验获得了雾霾转换过程的大气气溶胶和雾滴尺度谱分布同步观测资料,根据能见度和含水量将雾霾过程划分为雾、轻雾、湿霾、霾4个不同阶段,进而分析了不同阶段粗、细气溶胶粒子的微物理特征.结果表明,4个阶段的主要发生顺序为霾←→轻雾—→湿霾—→雾—→湿霾—→轻雾←→霾,雾前湿霾阶段持续时间长于雾后.尺度2μm的粗粒子数浓度、表面积浓度和体积浓度在雾阶段均显著大于其他3个阶段,其中霾阶段浓度最低.雾滴表面积浓度和体积浓度尺度谱分布为双峰或多峰型,而轻雾、湿霾和霾阶段粗粒子谱均为单峰型.尺度0.010μm的细粒子表面积浓度谱形在雾和湿霾阶段、轻雾和霾阶段分别相似,雾和湿霾阶段数浓度占优势的尺度范围分别为0.04～0.13μm和0.02～0.14μm,轻雾及霾阶段数浓度优势粒子尺度范围均为0.02～0.06μm.从霾、轻雾、湿霾到雾的转换过程中,以0.060～0.090μm为界,小粒子减少,大粒子增多.雾霾演变过程中气溶胶粒子数浓度与均方根直径呈显著负相关关系,雾阶段气溶胶粒子数浓度最低、平均尺度最大.     

Body mass estimations for <Emphasis Type="Italic">Plateosaurus engelhardti</Emphasis> using laser scanning and 3D reconstruction methods

Both body mass and surface area are factors determining the essence of any living organism. This should also hold true for an extinct organism such as a dinosaur. The present report discusses the use of a new 3D laser scanner method to establish body masses and surface areas of an Asian elephant (Zoological Museum of Copenhagen, Denmark) and of Plateosaurus engelhardti, a prosauropod from the Upper Triassic, exhibited at the Paleontological Museum in Tübingen (Germany). This method was used to study the effect that slight changes in body shape had on body mass for P. engelhardti. It was established that body volumes varied between 0.79 m³ (slim version) and 1.14 m³ (robust version), resulting in a presumable body mass of 630 and 912 kg, respectively. The total body surface areas ranged between 8.8 and 10.2 m², of which, in both reconstructions of P. engelhardti, ∼33% account for the thorax area alone. The main difference between the two models is in the tail and hind limb reconstruction. The tail of the slim version has a surface area of 1.98 m², whereas that of the robust version has a surface area of 2.73 m². The body volumes calculated for the slim version were as follows: head 0.006 m³, neck 0.016 m³, fore limbs 0.020 m³, hind limbs 0.08 m³, thoracic cavity 0.533 m³, and tail 0.136 m³. For the robust model, the following volumes were established: 0.01 m³ head, neck 0.026 m³, fore limbs 0.025 m³, hind limbs 0.18 m³, thoracic cavity 0.616 m³, and finally, tail 0.28 m³. Based on these body volumes, scaling equations were used to assess the size that the organs of this extinct dinosaur have.     

Effects of seed aerosols on the growth of secondary organic aerosols from the photooxidation of toluene

Hydroxyl radical （.OH）-initiated photooxidation reaction of toluene was carried out in a self-made smog chamber. Four individual seed aerosols such as ammonium sulfate, ammonium nitrate, sodium silicate and calcium chloride, were introduced into the chamber to assess their influence on the growth of secondary organic aerosols （SOA）. It was found that the low concentration of seed aerosols might lead to high concentration of SOA particles. Seed aerosols would promote rates of SOA formation at the start of the reaction and inhibit its formation rate with prolonging the reaction time. In the case of ca. 9000 pt/cm^3 seed aerosol load, the addition of sodium silicate induced a same effect on the SOA formation as ammonium nitrate. The influence of the four individual seed aerosols on the generation of SOA decreased in the order of calcium chloride〉sodium silicate and ammonium nitrate〉ammonium sulfate.     

Spatial distribution of aerosol pollution based on MODIS data over Beijing, China

With the help of regression analysis,the relationships were detected between aerosol's contribution to apparent reflectance(ACR) derived from Moderate Resolution Imaging Spectroradiometer(MODIS)on board Terra and hourly PM_(10)mass concentration measured at 30 ground-based locations in Beijing for the August of 2003 and 2004.It was shown that there was a good correlation between the ACR and PM_(10)(linear correlation coefficient,R=0.56).On the basis of this relationship,spatial distribution and possible sources of PM_(10)derived from MODIS were analyzed and two frequently heavily-polluted regions were found,namely downtown of the city and the district near Xishan Mountain.These two regions coincidently are also urban heat island centers.The foundings of this paper will be greatly useful for environmental monitoring and urban planning for Beijing,especially for the 2008 Olympic game to be held in Beijing.     

燃煤电厂锅炉PM2.5排放危害度评价模型建立及案例分析

为评价燃煤电厂锅炉PM2.5排放的危害度,根据颗粒的形成机制及对环境和人体健康的影响程度,将PM2.5进行了粒径分段,综合考虑不同粒径段颗粒物的质量浓度、粒数浓度、汞相对富集因子及汞元素在煤灰分中含量,建立了燃煤锅炉PM2.5排放危害度综合评价模型,最后利用已有文献现场实验测得的数据对评价模型进行了案例分析,并提出了危害度削减系数概念,可用于对除尘装置进行评价.     

春节期间南京市大气气溶胶粒径分布特征

为研究春节期间燃放烟花爆竹对城市大气气溶胶数浓度粒径谱分布的影响,对2012年1月19~31日南京大气气溶胶数浓度、污染气体浓度和质量浓度进行了观测分析.结果表明,烟花爆竹的燃放期间10~20 nm气溶胶浓度远低于非燃放期,50~100、100~200和200~500 nm数浓度有较大增加,20~50 nm和0.5~10μm气溶胶数浓度变化不大.烟花爆竹的燃放对气溶胶数浓度谱影响较大,非燃放期数浓度谱为双峰型分布;在燃放期数浓度谱为单峰性分布,且峰值向大粒径段偏移.烟花爆竹燃放期间质量浓度谱为双峰型分布,对细粒子的质量浓度影响较大,燃放期间PM2.5/PM10和PM1.0/PM10的值可升高10%.烟花爆竹的大量燃放对1.0~2.1μm粒径段气溶胶密度影响最大,对其他粒径段密度影响较小.     

不同类型污染源颗粒物的粒度分布特征分析

对影响葫芦岛市城区环境质量可吸入颗粒物的各类污染源颗粒物的粒度成份、分布特征进行分析。采用斯托克直径ds（Stoke＇s Diameter）表示法，利用巴柯离心机对样品进行处理，得到各类排放源所排放的不同粒径的颗粒物重量百分比，为环境管理提供科学依据。     

北京餐饮源排放细粒子理化特征及其对有机颗粒物的贡献

调研了北京餐饮业发展现状,通过在线监测、采样分析等手段研究北京4家不同烹调方式的餐馆所排放颗粒物的质量浓度、粒径分布、形貌特征、化学组分,并初步估算餐饮源排放细粒子对北京细粒子中颗粒有机物的贡献.结果表明,餐馆的原料、烹饪过程、油烟去除装置以及客流量都会影响餐馆所排放颗粒物的物理、化学性质.样本餐馆营业期间排放颗粒物PM_{2 .5}质量浓度是当日环境大气PM_{2 .5}质量浓度的8～35倍,PM_{1 .0}在PM_{2 .5}的质量浓度中约占50%～85%.餐饮源排放颗粒物多以固态和液态颗粒物形貌存在,化学组分质量百分数由多到少依次是有机物、无机离子和元素碳,分别占到PM_{2 .5}质量浓度的70%左右、5%～11%和小于2%.初步估计结果表明,北京餐饮源排放细粒子对有机颗粒物的贡献和交通源的排放相当,成为北京细粒子有机颗粒物的主要来源之一.认识餐饮源排放颗粒物的理化性质,可以为改善北京空气质量和保证居民身体健康提供数据支持.     

南、黄海及青岛地区大气气溶胶中无机氮组分的研究

于2004年冬季在青岛地区采集了大气气溶胶TSP(总悬浮颗粒物)样品,并于2005年3月和5月航次采集了黄、南海TSP和安德森分级样品,分析了气溶胶中无机氮组分(NO2-、NH4 、NO3-)的浓度,探讨了相应区域大气颗粒物中各种无机氮离子的区域分布、粒级分布.青岛地区冬季TSP的月平均值为102.00～227.00 μg·m-3;黄海TSP浓度为80.00～130.00 μg·m-3,低于青岛地区;南海TSP浓度最低,在30.167μg·m-3以下.NH4 -N是南、黄海及青岛地区大气气溶胶中主要的无机氮组分,占到总无机氮含量的53.14%～94.72%;其次是NO3--N,占到总无机氮含量的4.75%～46.64%;NO2--N对无机氮的干沉降贡献很小,仅占不到0.54%.NO3--N的粒径范围较宽,多数呈现双峰分布,峰值出现在4.7～7.0 μm和2.1～3.3 μm范围内;NH4 -N的粒径分布范围较窄,主要集中于1.1μm以下的细粒子范围内;NO2--N性质不稳定,其分布比较复杂.近年来,汽车尾气排放量的增大增加了青岛地区大气气溶胶中NO3--N的含量.     

城市空气质量数值预报系统对PM2.5的数值模拟研究

发展了南京大学城市空气质量数值预报模式系统(NJU-CAQPS),在模式系统中引入了气溶胶模块.运用该系统对南京地区冬夏两季PM2.5浓度的时间变化规律和空间分布特征进行了数值模拟研究,通过与实际观测资料对比,检验发展后的模式系统对于细颗粒物的模拟性能.结果表明,南京市城近郊内冬夏两季PM2.5浓度具有明显的时空变化特征,一般在半夜和清晨会出现较高浓度,午后至傍晚浓度较低.冬季浓度高于夏季,冬夏两季算例的浓度日均值之比为1.51.空间分布受到排放源位置、地面流场等因素影响.二次气溶胶在PM2.5中占相当的份额,冬夏两季算例中二次气溶胶在PM2.5中所占比例分别为12%和15%,夏季二次气溶胶对PM2.5浓度贡献较冬季大.与实际观测资料的对比验证表明,经过发展的该模式系统对于城市PM2.5等颗粒物的模拟性能良好.