天水市紫外吸收性气溶胶时空动态的遥感监测

采用OMI传感器的气溶胶产品,分析了2006—2015年中国西部城市天水市对流层紫外吸收性气溶胶的时空分布特征。结果表明:空间上,十年间天水市的吸收性气溶胶表现出从中部向周围依次减弱的南北向带状分布规律;季节变化呈现出秋冬季高于春夏季的规律;时间上,吸收性气溶胶指数(AI)从2006年的0.075增至2015年的0.506,年均值为0.28,年均增长率为57.5%;十年间出现2次阶段性增长和2次阶段性减小;AI年际变化与天水市地方总产值相关性为0.902,第一产业对其影响最大,第三产业影响最小。     

桂林市城区大气VOCs污染特征及对O3和SOA的生成潜势

对桂林市城区大气中挥发性有机物(VOCs)的污染特征,以及VOCs对臭氧(O3)和二次有机气溶胶(SOA)的生成潜势进行了研究。结果显示,研究期间,共检出VOCs物种78种,平均体积分数为21.32×10-9,表现为芳香烃(67.82%)烷烃(19.56%)卤代烃(7.50%)烯烃(2.86%)含氧挥发性有机物(1.41%)。VOCs体积分数空间分布呈现市中心和下风向郊区两个高值区。通过苯与甲苯的浓度比值发现,林科所VOCs主要来自交通源和生物源,师专甲山校区VOCs主要是来自交通源,其余测点VOCs主要来自交通源、工业源和外来传输源。分析乙苯和间/对二甲苯的浓度比值发现,电子科大尧山校区气团光化学年龄较大,光化学反应活性相对较强烈;旅游学院、华侨旅游经开区、大埠中心校气团光化学年龄较小,光化学反应活性相对较弱。VOCs对O3生成潜势最大的为芳香烃(93.81%),其次是烷烃(7.22%)和烯烃(4.75%);对SOA生成潜势最大的为芳香烃(97.45%),其次是烷烃(2.55%)。     

银川活动断层卫星遥感图像解译

采用对地表具有一定穿透能力的合成孔径雷达数据（ENVISAT ASAR）和光谱信息丰富的常规光学遥感数据（Landsat-7 ETM）作为主要数据源,综合了雷达遥感与光学遥感的成像优势,利用图像预处理、图像增强处理与多源遥感信息融合突出了银川研究区的活动断裂遥感影像特征。根据活动断层遥感解译标志,共解译出8条主要活动断层,分别为银川-平罗断裂、芦花台断裂、镇北堡断裂、黄河-灵武断裂、贺兰山东麓断裂带、黎家新庄-南泉子断裂、三关口断裂与青铜峡断裂,并对其影像特征与空间分布规律进行详细分析。银川活动断裂的解译分析为该地区的地震安全性评价与地震活动性分析奠定了基础。     

灰霾天气成因危害及控制治理

随着经济社会发展、城市迅速扩大和城市化进程加快,大气气溶胶污染日趋严重,由气溶胶颗粒物造成能见度恶化事件越来越多,灰霾天气已成为一种常见环境灾害污染事件。简要概述了灰霾天气定义分级、分布特征与雾霾比较,深入研究了灰霾天气形成原因、影响因素与存在危害,系统探讨了灰霾天气控制措施、监测方法与治理对策。指出在现有灰霾天气成因危害及控制治理状况下,加强理念宣贯,建立预报预警,开展PM2.5防治,推进城区绿化,科学布设规划,可有效解决中国资源节约型、环境友好型、生态文明型可持续发展过程中所面临灰霾天气防控治理问题。     

Size distributions of aerosol and water-soluble ions in Nanjing during a crop residual burning event

To investigate the impact on urban air pollution by crop residual burning outside Nanjing, aerosol concentration, pollution gas concentration, mass concentration, and water-soluble ion size distribution were observed during one event of November 4-9, 2010. Results show that the size distribution of aerosol concentration is bimodal on pollution days and normal days, with peak values at 60-70 and 200-300 nm, respectively. Aerosol concentration is 10⁴ cm^-3. nm^-1 on pollution days. The peak value of spectrum distribution of aerosol concentration on pollution days is 1.5-3.3 times higher than that on a normal day. Crop residual burning has a great impact on the concentration of fine particles. Diurnal variation of aerosol concentration is trimodal on pollution days and normal days, with peak values at 03:00, 09:00 and 19:00 local standard time. The first peak is impacted by meteorological elements, while the second and third peaks are due to human activities, such as rush hour traffic. Crop residual burning has the greatest impact on SO₂ concentration, followed by NO₂, O₃ is hardly affected. The impact of crop residual burning on fine particles (< 2.1 μm) is larger than on coarse particles (> 2.1 μm), thus ion concentration in fine particles is higher than that in coarse particles. Crop residual burning leads to similar increase in all ion components, thus it has a small impact on the water-soluble ions order. Crop residual burning has a strong impact on the size distribution of K⁺, Cl^-, Na⁺, and F^- and has a weak impact on the size distributions of NH₄⁺, Ca²⁺, NO₃^- and SO₄^2-.     

Aerosol structure and vertical distribution in a multi-source dust region

The vertical distribution of aerosols was directly observed under various atmospheric conditions in the free troposphere using surface micro-pulse lidar (MPL4) at the Zhangye Station (39.08°N, 100.27°E) in western China in the spring of 2008. The study shows that the aerosol distribution over Zhangye can be vertically classified into upper, middle and lower layers with altitudes of 4.5 to 9 km, 2.5 to 4.5 km, and less than 2.5 km, respectively. The aerosol in the upper layer originated from the external sources at higher altitude regions, from far desert regions upwind of Zhangye or transported from higher atmospheric layers by free convection, and the altitude of this aerosol layer decreased with time; the aerosols in the middle and lower layers originated from both external and local sources. The aerosol extinction coefficients in the upper and lower layers decreased with altitude, whereas the coefficient in the middle layer changed only slightly, which suggests that aerosol mixing occurs in the middle layer. The distribution of aerosols with altitude has three features: a single peak that forms under stable atmospheric conditions, an exponential decrease with altitude that occurs under unstable atmospheric conditions, and slight change in the mixed layer. Due to the impact of the top of the atmospheric boundary layer, the diurnal variation in the aerosol extinction coefficient has a single peak, which is higher in the afternoon and lower in the morning.     

区域空气质量模拟中查表法的应用研究

在自行开发完善的区域空气质量模式系统RegSRRMS中应用查表法,模拟中国典型城市群对流层大气主要污染物的浓度变化,评估该方法在大气复合污染事件预测和控制中的有效性.首先,利用具有国际先进水平的空气质量模式WRF-CHEM中的化学模块建立了包含完善气相化学、气溶胶过程的箱模式WRFBOX.其次,利用WRFBOX进行化学反应敏感性分析,基于影响污染物的重要因子分别建立了臭氧(O3)及其前体物、无机盐气溶胶和二次有机气溶胶(SOA)查算表数据库,并检验其有效性.最后,将此查算表数据库引入RegSRRMS,建立简化的查表算法.利用直接耦合机制法和查表法对2000年3月珠三角地区污染个例中主要大气污染物浓度进行模拟.通过比较2种方法的模拟结果,显示查表法计算效率提高了57%,能够反映大气光化学反应的非线性特征、气溶胶及其前体物的平衡关系,具有高分辨率、高时效性,能够方便快捷地给出源和受体之间的响应关系,结果可靠.在区域空气质量模式中应用查表法有利于大气污染事件的快速预测以及大气污染控制的快速决策.     

南京市夏季大气气溶胶新粒子生成事件分析

研究了南京市夏季大气气溶胶数浓度的基本特征和气溶胶新粒子生成事件的形成条件及其影响因子.应用宽范围颗粒粒径谱仪(WPS)和双光路差分吸收光谱仪(DOAS)对南京市2010年7月大气气溶胶数浓度谱分布和污染气体(O3、SO2和NO2)进行了观测,并结合气象要素观测数据和后向轨迹模式模拟,探讨了南京市夏季大气气溶胶新粒子生成的条件及其影响因子.结果表明,南京市夏季10～500nm气溶胶平均数浓度为1.7×104cm-3,与北美和欧洲的一些典型城市观测值相近;10～25 nm气溶胶粒子数浓度占总数浓度的比例为25%.观测期间共出现6次新粒子生成事件,通过分析发现比较稳定的风速风向、较强的太阳辐射有利于南京夏季新粒子的形成.南京夏季新粒子生成事件的相对湿度条件在50%～70%,通过后向轨迹模式模拟的结果发现偏东风或偏南风带来的海洋性洁净气团有利于新粒子的生成.南京夏季新粒子生成事件发生时,10～25 nm气溶胶数浓度与SO2的浓度呈正相关,与O3的浓度呈负相关,而与NO2的浓度相关性较差.     

利用微脉冲激光雷达分析上海地区一次灰霾过程

通过分析2008年6月至2009年5月期间浦东新区灰霾天气出现的特征,并以2008年12月19日至2008年12月21日一次典型的灰霾天气过程为例,利用激光雷达(Light laser detection and ranging,简称Lidar)数据资料反演得到气溶胶消光系数及其强度图和廓线图,结合地面气象数据和气溶胶观测资料,分析了此次灰霾天气形成的原因.一年的观测资料表明,上海地区冬季和春季易产生灰霾天气,冬季出现重度霾最多,秋季和夏季灰霾天气较少.较弱的太阳辐射以及静风、小风是导致灰霾天气发生的重要原因,且高湿度的霾天气对能见度影响更大.大气边界层(以下简称边界层)高度变化决定着灰霾天气发生的强度,当边界层高度在1km左右时,易发生轻微霾天气,当边界层高度降至600m左右时,易发生中度、重度霾天气,而太阳辐射强度变化决定着边界层高度的变化.轻微霾天气下,大气气溶胶垂直分布最强消光值约为0.15km-1,而重霾天气下可达0.30km-1以上.本次霾过程还受地面颗粒物排放的影响,主要是PM1和PM2.5,且在消光作用中散射性气溶胶的贡献大于吸收性气溶胶.轻微霾天气下PM2.5浓度为50μg·m-3,黑碳浓度为5000ng·m-3,浊度为200Mm-1,而重度霾时则分别达到200μg·m-3、24000ng·m-3和1400Mm-1.随着此次霾的出现,整层大气气溶胶光学厚度(AOD,550nm)不断增加,在重度霾时达到0.6左右,Angstrom指数在重度霾时显著降低,表明有大颗粒物导入,说明此次重度霾天气的发生还与气溶胶的输送有关.     

Improved source assessment of Si, Al and related mineral components to PM10 based on a daily sampling procedure

Samples obtained from an industrialized valley in the East Alpine region were collected daily for a half year and analyzed using X-ray fluorescence to examine the elements Si,Al,Fe,Ca,Mg,Na,K,Zn,P,S and Cl.Some factors affecting the changes of these elements were considered,including time,elemental correlations,weekday,weekend and seasonal changes.Diagnostic analysis provided an insight into a decoupling behavior that occursin siliceous and carbonates minerals.A decrease in Si and Al and an increase in carbonates,Na,K,Zn and P were observed during the cold season.However,a consistently high correlation of Si and Al was observed in all seasons.It was established that such high levels originated from street surface abrasion.The increase in variability and absolute levels of carbonates during the cold season was demonstrated by adding carbonates to the street surface as gritting material to increase the grip on snowy surfaces.A marked increase in Na and Cl was observed in winter which may have been caused by thaw salt that is widely used in winter in Austria.This was associated with a significant increase in K,Zn,and P in the cold season that was the result of domestic space heating with wood.PM10 levels in December were 12 μg/m3 and were higher than levels detected in July.It was established that such high levels originated from mineral oxides,wood smoke,and inorganic ionic material(s).