天空辐射计观测反演北京城区气溶胶光学特性

利用2018年10月—2019年9月天空辐射计观测数据反演北京城区气溶胶光学特性参数,重点分析污染过程中气溶胶光学特性与气象条件的相关性。结果表明:500 nm气溶胶光学厚度在2—7月较大,最高值出现在6月,为0.71。单次散射反照率最高值出现在8月,为0.96;最低值出现在5月,为0.89。440~870 nm ?ngstr?m波长指数最高值出现在夏季,为1.11;最低值出现在春季,为0.89。统计发现污染日数仅占总日数的17%,其中62%为轻度污染;污染和清洁天气条件下PM_2.5浓度分别为107.22 μg·m-3和47.16 μg·m-3,500 nm气溶胶光学厚度分别为0.85和0.49,单次散射反照率分别为0.96和0.92;冬季?ngstr?m波长指数在污染天气条件下（1.02）大于清洁天气（0.91）,春季相反。结合天空辐射计、激光雷达和气象数据分析2019年1月一次污染事件,可知低风速与高湿度等不利气象条件、气溶胶粒子的吸湿增长和二次转化、污染物局地排放及区域输送共同导致污染事件发生。     

南京冬季持续性强浓雾天气中三级分档雾水的理化特性分析

2013年12月7—9日南京出现持续性强浓雾天气过程。利用观测试验中获取的三级分档雾水和分粒径气溶胶的水溶性离子浓度,气溶胶数浓度谱、雾滴谱以及自动气象站获取的气象要素等资料,通过对比研究浓雾过程中4—16 μm（3级）、16—22 μm（2级）、>22 μm（1级）3个粒径范围雾滴（雾水）与分粒径气溶胶的微物理特征和化学特性,探讨不同粒径气溶胶粒子吸湿增长对雾滴的贡献以及气溶胶离子组分对不同尺度雾滴化学性质的影响。结果表明,在强浓雾天气中,能见度为50 m左右,短波辐射减弱形成稳定逆温层,有助于污染气溶胶的累积并吸湿增长向雾滴转化。雾滴的增加主要集中在小滴范围, 直径在0.5—1 μm的气溶胶粒子对其贡献最大。各粒径段气溶胶中阴离子NO₃-和SO₄2-均表现出较高值,阳离子中Ca2+浓度最高。三档雾水中各阴、阳离子浓度均在4—16 μm小滴雾水中最高,16—22 μm中滴雾水和>22 μm大滴雾水的阴、阳离子浓度没有明显的高低之分。阳离子中Ca2+的浓度在第1级小滴雾水中最高,2级和3级雾水中NH₄+的浓度最高,阴离子中NO₃-和SO₄2-在各级雾水中浓度相差不大。雾水pH值2.7—6.9,呈酸性,小雾滴酸性更强。      

北京和邢台新粒子生成的差别及其对CCN活性的影响

基于2016年冬季和2017年夏季在北京、2016年夏季在邢台的三次气溶胶外场观测实验,选取三次观测期间典型的新粒子生成事件,分析其对气溶胶吸湿和云凝结核（CCN）活化特性的影响。两地分别位于华北平原北部超大城市区域和中南部工业化区域,两地不同季节新粒子形成机制不同,对应的凝结汇、生长速率以及气溶胶化学组分也不同。北京站点新粒子生成事件的发生以有机物的生成主导,而邢台站点新粒子生成事件的发生则以硫酸盐和有机物的生成共同主导。邢台站点新粒子生成过程中气溶胶吸湿性及云凝结核活化能力明显强于北京站点,此特点在核模态尺度粒子中表现尤为明显。以上结果表明,在估算新粒子生成对CCN数浓度的影响时,应充分考虑气溶胶吸湿和活化特性的差异。     

秸秆燃烧对北京秋季气溶胶浓度和短波辐射影响的模拟研究

利用地面细颗粒物（PM2.5）浓度和气象常规观测资料、地基 AERONET观测资料、GFED生物质燃烧排放清单和大气化学—天气耦合模式WRF-Chem,模拟研究了华北地区2014年10月气象要素和大气污染物的时空演变,重点关注北京10月7～11日的一次重霾事件及其天气形势、边界层气象特征、输送路径、PM2.5及其化学成分浓度变化等特征,以及秸秆燃烧对华北和北京地区细颗粒物浓度和地面短波辐射的影响。与观测资料的对比结果显示,模式可以很好地模拟北京地区地面气象要素和PM2.5质量浓度,考虑秸秆燃烧排放源可以明显改进北京PM2.5浓度模拟的准确性,但在重度污染情况下,模式总体上低估气溶胶光学厚度和高估地面短波辐射。10月7～11日北京地区重霾事件主要是不利气象条件下人为污染物累积和区域输送造成,也受到华北地区南部秸秆燃烧的影响。河南北部、河北南部和山东西部大面积秸秆燃烧释放的气态污染物和颗粒物在南风的作用下输送至北京,秸秆燃烧对北京地区地面PM2.5、有机碳（OC）、硝酸盐、铵盐、硫酸盐和黑碳（BC）的平均贡献率分别为24.6%、36.8%、23.2%、22.6%、7.1%和19.8%,秸秆燃烧产生的气溶胶可以导致北京地面平均短波辐射最大减小超过20 W m－2,约占总气溶胶导致地表短波辐射变化的24%。     

气溶胶对新疆冰雹形成物理过程影响的数值模拟研究

利用带有分档微物理方案的中尺度模式（WRF-SBM）模拟了一次新疆夏季的冰雹天气过程,并通过敏感性试验研究了气溶胶浓度变化对雹云微物理特征、降水过程及冰雹形成机制的影响。结果表明:初始气溶胶浓度越大,对流云发展越旺盛。雹云发展阶段,云中液水含量随气溶胶浓度增加而增多,冰水含量在中度污染时最多。冰雹的含量随气溶胶浓度的增加呈现先增加后减小的趋势,相较而言中度污染条件下,云滴尺度适当,过冷云水含量相对充足,更有利于液相水成物向冰粒子的转化,也更有利于冰雹的生长。冰雹最初几乎全部由冰晶碰冻过冷水生成,随后该过程迅速减弱,液滴冻结过程短暂地成为主要来源,但冰雹一旦形成,自身就会迅速收集过冷水开始生长,成为冰雹生长的主导过程。重度污染条件导致各种成雹过程推迟发生。气溶胶浓度增大导致地面液相累积降水增加,冰相累积降水先增加减少,并且气溶胶浓度适当增大可使降雹量及冰相降水中冰雹的比重增加,过量则会减小。在此基础上,本文提出最适合冰雹生长的“最优气溶胶浓度”,同时也是人工防雹工作中应重点关注的浓度。     

Simulating Aerosol Size Distribution and Mass Concentration with Simultaneous Nucleation,Condensation/Coagulation,and Deposition with the GRAPES–CUACE

A coupled aerosol–cloud model is essential for investigating the formation of haze and fog and the interaction of aerosols with clouds and precipitation. One of the key tasks of such a model is to produce correct mass and number size distributions of aerosols. In this paper, a parameterization scheme for aerosol size distribution in initial emission, which took into account the measured mass and number size distributions of aerosols, was developed in the GRAPES–CUACE [Global/Regional Assimilation and PrEdiction System–China Meteorological Administration (CMA) Unified Atmospheric Chemistry Environment model]—an online chemical weather forecast system that contains microphysical processes and emission, transport, and chemical conversion of sectional multi-component aerosols. In addition, the competitive mechanism between nucleation and condensation for secondary aerosol formation was improved, and the dry deposition was also modified to be in consistent with the real depositing length.Based on the above improvements, the GRAPES–CUACE simulations were verified against observational data during 1–31 January 2013, when a series of heavy regional haze–fog events occurred in eastern China. The results show that the aerosol number size distribution from the improved experiment was much closer to the observation, whereas in the old experiment the number concentration was higher in the nucleation mode and lower in the accumulation mode. Meanwhile, the errors in aerosol number size distribution as diagnosed by its sectional mass size distribution were also reduced. Moreover, simulations of organic carbon, sulfate, and other aerosol components were improved and the overestimation as well as underestimation of PM_2.5 concentration in eastern China was significantly reduced, leading to increased correlation coefficient between simulated and observed PM_2.5 by more than 70%. In the remote areas where bad simulation results were produced previously, the correlation coefficient grew from 0.35 to 0.61, and the mean mass concentration went up from 43% to 87.5% of the observed value. Thus, the simulation of particulate matters in these areas has been improved considerably.     

合肥市不同天气条件下大气气溶胶粒子理化特征分析

为探讨合肥市霾天气大气气溶胶粒子的组成及来源,在2012-2013年代表性月份用安德森分级采样器在合肥市区进行大气气溶胶粒子采样,并分析各样本中水溶性无机离子成分(NH4+、Mg2+、Ca2+、Na+、 K+、NO2-、NO3-、Cl-、SO42-)。根据同期气象资料把采样背景天气分为晴空、雾、霾、轻雾等4类,详细分析了这4种天气下大气细粒子(指PM2.1)和粗粒子(粒径大于2.1 μm部分)的浓度、组成以及主要离子组分的异同。结果表明:(1)观测期间晴空天多对应空气质量优良,雾、霾天对应轻度到重度污染,从晴空天到雾、霾天,PM2.1浓度大幅度上升,且其占总悬浮颗粒物(TSP)的比例显著上升。(2)从晴空天到雾、霾天,水溶性无机离子质量占PM2.1质量浓度的比例上升,分别为46%(晴空)、67%(霾)、61%(雾)、80%(轻雾)。PM2.1中水溶性无机离子浓度居前3位的雾、霾天是SO42-、NO3-和NH4+,晴空天为SO42-、Ca2+、NO3-。(3)与晴空天相比,霾天PM2.1中水溶性无机离子浓度变化倍数最大的是NO3-(为晴空的6.1倍,下同)、其次是NH4+(3.6倍)和SO42-(3.0倍);雾和轻雾天PM2.1中水溶性无机离子浓度变化最大的是NO3-(>10倍)、其次是NH4+(>5倍)和Cl-(>4.0倍)。(4)4种天气下,与人为污染有关的离子(SO42-、NO3-、Cl-、NH4+)尺度谱存在显著差异,呈双峰型、单峰型、三峰型等;而Ca2+的尺度谱无明显变化,基本上都呈双峰型。(5)在粒径3.3 μm以下,阳、阴离子平衡较好,随着尺度增大变差,且晴空天比雾、霾天差。主要阴离子浓度间、Cl-和Na+间的比值和相关性,在晴空天和雾、霾天差异较大。      

都市霾与雾的区分及粤港澳的灰霾天气观测预报预警标准

都市霾与雾的区分是迫切需要解决的问题。霾的出现有重要的空气质量指示意义,而雾的记录,有明确的天气指示意义。通常在平面时已达到饱和的水汽压,对相当于球面的云雾滴来讲就是未饱和的,云雾滴就会蒸发;在水汽条件不变时,云雾滴由于蒸发而变小,导致它的平衡水汽压升高,就更易蒸发掉。在不饱和大气中小于数μm的云雾滴必然蒸发,而且伴随着蒸发云雾滴尺度会进一步变小,导致曲率越来越大,蒸发速率越来越快。过去错误认为凝结核可以在低相对湿度(RH)情况下产生凝结生成雾滴的观点,是忽视了粒子曲率作用的结果,将实验室大颗粒(常常达mm量级)的吸湿性特征,延用至次μm粒子造成的。降温是达到饱和形成雾滴的重要物理过程,云雾是低温下饱和气块的可见标志。在云雾中必然存在凝结或凝华过程,因而必然伴随着潜热释放,这就使云雾内的温度高于环境,在云雾内必然盛行微弱的上升气流,不可能是下沉气流,这些宏观过程在霾层内是不存在的,因而成为识别雾与霾的重要的宏观动力条件。在对历史资料进行统计时,在排除降水、吹雪、雪暴、沙尘暴、扬沙、浮尘、烟幕等视程障碍现象的情况下,通过调试RH,使雾与轻雾反映自然的年际与年代际气候波动,而霾反映由于人类活动而引起的趋势性变化,其限值大体在90%左右,与美国和英国在讨论霾影响能见度(vis)的长期变化趋势中使用的限值RH<90%相同。20世纪80年代以来大幅增加的霾日,绝大部分是由于人类活动影响的气溶胶细粒子污染造成的。依据上述结果和以前的研究,给出了霾与雾区分的概念模型、霾与雾观测的标准和灰霾天气预警信号发布的标准,并介绍了相关的业务产品。     

HAZE-TO-FOG TRANSFORMATION DURING A LONG LASTING, LOW VISIBILITY EPISODE IN NANJING

Haze-to-fog transformation during a long lasting, low visibility episode was examined using the observations from a comprehensive field campaign conducted in Nanjing, China during 4-9 December 2013. In this episode, haze was transformed into fog and the fog lasted for dozens of hours. The impacts of meteorological factors such as wind, temperature (T) and relative humidity (RH) on haze, transition and fog during this episode were investigated. Results revealed significant differences between haze and fog days, due to their different formation mechanisms. Comparison was made for boundary-layer conditions during hazy days, haze-to-fog days and foggy days. Distributions of wind speed and wind direction as well as synoptic weather conditions around Nanjing had determinative impacts on the occurrences and characteristics of haze and fog. Weakened southerly wind in southern Nanjing resulted in high concentration of pollutants, and haze events occurred frequently during the study period. The wind speed was less than 1 m s-1 in the haze event, which resulted in a stable atmospheric condition and weak dispersion of the pollutants. The height of the temperature inversion was about 400 m during the period. The inversion intensity was weak and the temperature-difference was 4°C km-1 or less in haze, while the inversion was stronger, and temperature-difference was about 6°C km-1, approaching the inversion layer intensity in the fog event. Haze event is strongly influenced by ambient RH. RH values increased, which resulted in haze days evidently increased, suggesting that an increasing fraction of haze events be caused by hygroscopic growth of aerosols, rather than simply by high aerosol loading. When RH was above 90%, haze aerosols started to be transformed from haze to fog. This study calls for more efforts to control emissions to prevent haze events in the region.     

新疆雾霾天气自动判识业务系统

新疆气象局依据中国气象局发布的《霾的观测和预报等级》（QX/T113-2010）中霾观测等级标准,开发的“雾霾天气自动判识业务系统”软件,具备自动识别雾、霾、晴等天气现象的功能,能24 h连续在线、实时、自动显示气象监测站PM2.5、气溶胶吸收特性等表征大气洁净状况的监测值,能为气象站观测员提供一个辅助判识雾、霾等天气状况的依据,能为预报员提供一个检验雾、霾等天气状况预报质量的在线实况依据.该软件系统已经在乌鲁木齐国家基本气象站、自治区气象台等单位试运行,且运行情况良好.     

Vertical distributions of aerosol optical properties during haze and floating dust weather in Shanghai

A comparative study on the vertical distributions of aerosol optical properties during haze and floating dust weather in Shanghai was conducted based on the data obtained from a micro pulse lidar.There was a distinct difference in layer thickness and extinction coefficient under the two types of weather conditions.Aerosols were concentrated below 1 km and the aerosol extinction coefficients ranged from 0.25 to 1.50km^-1 on haze days.In contrast,aerosols with smaller extinction coefficients(0.20 0.35 km^-1) accumulated mainly from the surface to 2 km on floating dust days.The seasonal variations of extinction and aerosol optical depth（AOD） for both haze and floating dust cases were similar greatest in winter,smaller in spring,and smallest in autumn.More than 85%of the aerosols appeared in the atmosphere below 1 km during severe haze and floating dust weather.The diurnal variation of the extinction coefficient of haze exhibited a bimodal shape with two peaks in the morning or at noon,and at nightfall,respectively.The aerosol extinction coefficient gradually increased throughout the day during floating dust weather.Case studies showed that haze aerosols were generated from the surface and then lifted up,but floating dust aerosols were transported vertically from higher altitude to the surface.The AOD during floating dust weather was higher than that during haze.The boundary layer was more stable during haze than during floating dust weather.     

STUDY ON THE VISIBILITY REDUCTION CAUSED BY ATMOSPHERIC HAZE IN GUANGZHOU AREA

In recent years the pollution of aerosol is getting worse and worse in Guangzhou area. The haze weather mainly occurs from October to April of the following year, resulting in visibility deterioration. From the beginning of the 1980's the visibility dramatically deteriorated, obviously increasing haze weather, in which there are three big fluctuations, respectively showing the periods of pollution of dust, sulphate and dust, fine particle from photochemical process and sulphate and dust accompanying the development of economy. The long-term tendency of visibility caused by fog and light fog does not have the tendency due to human activity or economical development and the variation mainly show the inner interannual and interdecadal variation of climate. The deterioration of visibility has close relation to the fine particles in Guangzhou area, with half of PM10 surpassing the limits set by national second graded standard, meanwhile, all values of PM2.5 rise above the day-mean limits of American national standard, indicating very high fine particle concentration. The ratio of PM2.5 to PM10 is also very high, reaching 62% - 69%, especially higher in dry seasons than in rainy seasons.     

On the formation and growth of atmospheric nanoparticles

In this paper we summarize recent experimental, theoretical and observational results on the formation and growth of atmospheric nanoparticles. During the last years significant progress has occurred to explain atmospheric nucleation and initial steps of the growth. Due to climatic and health effects of fine and ultrafine particles the formation and growth of new aerosol particles is of growing interest. The question “How and under which conditions does the formation of new atmospheric aerosol particles take place?” has exercised the minds of scientists since the time of John Aitken, who in the late 1880s built the first apparatus to measure the number of dust and fog particles. However, only during the last 15–20 years has the measurement technology developed to such a level that size distributions of nanometer-size particles and concentrations of gases participating in particle formation can be measured in the atmosphere. Also from a theoretical point of view atmospheric nucleation mechanisms have not been resolved: several mechanisms such as ion-induced (or ion mediated) nucleation, ternary and kinetic (barrier-less) nucleation have been suggested. In the most recent theory, the activation of existing neutral and/or ion clusters has been suggested.     

On the formation and growth of atmospheric nanoparticles

In this paper we summarize recent experimental, theoretical and observational results on the formation and growth of atmospheric nanoparticles. During the last years significant progress has occurred to explain atmospheric nucleation and initial steps of the growth. Due to climatic and health effects of fine and ultrafine particles the formation and growth of new aerosol particles is of growing interest. The question “How and under which conditions does the formation of new atmospheric aerosol particles take place?” has exercised the minds of scientists since the time of John Aitken, who in the late 1880s built the first apparatus to measure the number of dust and fog particles. However, only during the last 15–20 years has the measurement technology developed to such a level that size distributions of nanometer-size particles and concentrations of gases participating in particle formation can be measured in the atmosphere. Also from a theoretical point of view atmospheric nucleation mechanisms have not been resolved: several mechanisms such as ion-induced (or ion mediated) nucleation, ternary and kinetic (barrier-less) nucleation have been suggested. In the most recent theory, the activation of existing neutral and/or ion clusters has been suggested.     

A two-moment parameterization of aerosol nucleation and impaction scavenging for a warm cloud microphysics: description and results from a two-dimensional simulation

A new two-moment warm bulk scheme has been developed including explicitly nucleation and impaction scavenging of aerosol particles as well as all other microphysical processes. The scheme is built upon a quasispectral representation of the aerosol particle, cloud droplet and raindrop distributions. It predicts mixing ratios and number concentrations for each category. Each process is treated explicitly and independently to establish an analytic expression for each contribution for the time-dependant microphysical equations. The scheme has been tested in the dynamical framework of a two-dimensional kinematic model, developed for the Hawaiian Rainband Project (HaRP, 1990). In this frame, the scheme has performed reasonably well compared to the observations as well as to other similar parameterization schemes, and to the spectral model DESCAM.Sensitivity tests demonstrate the great sensitivity of the scheme to the initial aerosol spectrum characteristics. Moreover, they have also shown its capability to calculate nucleation and impaction scavenging and to follow the taken up particle mass in the cloud and raindrop spectra until the deposition on the ground by the rain.Therefore, the parameterization offers a possibility of treating the evolution of the liquid phase of the cloud together with the aerosol particle scavenging. However, due to the severe limitations of a two-dimensional kinematic model, the scheme needs to be further validated in a three-dimensional dynamical model.