中亚沙尘气溶胶时空分布特征及潜在扩散特性分析

中亚地处干旱和半干旱气候区,是全球沙尘气溶胶贡献度较大的区域。利用中分辨率成像光谱仪（Moderate-resolution Imaging Spectrometer, MODIS）和云—气溶胶偏振雷达（Cloud-Aerosol Lidar with Orthogonal Polarization, CALIOP）遥感数据,从宏观角度对2002-2015年中亚地区气溶胶光学厚度（Aerosol Optical Depth, AOD）时空分布特征及沙尘气溶胶光学特性垂直分布特征进行分析,利用拉格朗日混合型的扩散模型（Hybrid Single Particle Lagrangian Integrated Trajectory, HYSPLIT）讨论沙尘运输的季节性变化。结果表明：① 中亚AOD空间分布呈现显著的季节性差异,四季均值春（0.412）>夏（0.258）>冬（0.167）>秋（0.159）,14年间呈现增加趋势;② 中亚AOD高值区域主要集中于咸海地区和新疆的塔里木盆地,其中,咸海地区AOD年均值为0.278,年均增幅为3.175%,主要受咸海退化所导致的干涸湖底裸露面积加大的影响;塔克拉玛干沙漠地区AOD年均值为0.421,年均增幅0.062%,主要受温度和风速两方面的影响,不同季节下主导因素略有差异;③ 尘源区气溶胶主要集中在近地面0~2 km范围内,沙漠上空气溶胶退偏比范围（10%~45%）略大于咸海上空（15%~30%）;咸海地区色比值（0.3~0.8）小于沙漠地区（0.5~0.9）,且在0~2 km和4~6 km有两个高频色比值分别为0.5和0.3,说明相比沙尘气溶胶,咸海地区的盐尘气溶胶球形程度较高,颗粒更小,飘散高度更高;④ 咸海地区盐尘潜在扩散方向主要以东北,西南和南为主,向东北方向的扩散距离最远,影响范围可达俄罗斯中部地区,西南方向扩散路径高度和距离较近,主要影响乌兹别克斯坦和土库曼斯坦,但发生比例相对较高,塔克拉玛干沙漠地区起尘后大部分沙尘颗粒仍沉降在尘源区附近,向东部地区扩散的沙尘气溶胶,主要影响中国青海、甘肃、宁夏、陕西等地区。     

北京不同区域气溶胶辐射效应

采用大气辐射传输模式SES2以及2013年1月—2015年10月欧洲中期天气预报中心细网格再分析资料计算了北京地区4个观测站地面接收的短波辐射通量,分析了晴天和云天北京城郊气溶胶对总辐射的定量影响时空变化特征。结果表明:北京城区和近郊区气溶胶对总辐射的影响约为远郊区的2倍,北京南部和西部气溶胶对辐射的影响较大,晴天和云天北京城区和近郊区气溶胶对总辐射的削减值分别为146.23~180.99 W·m-2和202.11~217.02 W·m-2,晴天总辐射削减空间差异较大;秋冬季气溶胶对总辐射的影响明显大于春夏季,北京市观象台秋冬季气溶胶对总辐射的削减作用最大可达60%,较春夏季高10%~20%;北京城郊总辐射和直接辐射削减率与气溶胶光学厚度变化均呈线性关系,近地面PM_2.5浓度对辐射的影响不容忽视。     

乌鲁木齐市MODIS气溶胶光学厚度与空气质量指数相关性分析

利用MODIS气溶胶光学厚度(AOD,Aerosol Optical Depth)产品与同期乌鲁木齐市空气质量指数进行相关性分析,得到二者的相关系数为0.664。对MODIS AOD产品进行垂直和湿度订正后,二者的相关性显著提高,相关系数从0.664提高到0.805。订正后按季节分类统计,春、夏、秋3季的相关系数分别为0.775、0.608和0.822,其中秋季的订正更为有效,可用性更高。这可能受到不同季节气溶胶来源、特征以及数据样本差异的影响。最后分别建立全年、春季、夏季和秋季的线性、对数、一元二次、乘幂和指数5种类型的拟合模型。考虑模型易于利用的因素,依据各拟合模型相关系数的大小得到全年以及各季节最优拟合模型,该模型函数可用来反演和监测乌鲁木齐市空气质量指数。     

Study of Aerosol Direct and Indirect Effects and Auto-conversion Processes over the West African Monsoon Region Using a Regional Climate Model

This study assesses the direct and indirect effects of natural and anthropogenic aerosols(e.g., black carbon and sulfate)over West and Central Africa during the West African monsoon(WAM) period(June–July–August). We investigate the impacts of aerosols on the amount of cloudiness, the influences on the precipitation efficiency of clouds, and the associated radiative forcing(direct and indirect). Our study includes the implementation of three new formulations of auto-conversion parameterization [namely, the Beheng(BH), Tripoli and Cotton(TC) and Liu and Daum(R6) schemes] in Reg CM4.4.1,besides the default model's auto-conversion scheme(Kessler). Among the new schemes, BH reduces the precipitation wet bias by more than 50% over West Africa and achieves a bias reduction of around 25% over Central Africa. Results from detailed sensitivity experiments suggest a significant path forward in terms of addressing the long-standing issue of the characteristic wet bias in Reg CM. In terms of aerosol-induced radiative forcing, the impact of the various schemes is found to vary considerably(ranging from-5 to-25 W m~(-2)).     

Grid-cell Aerosol Direct Shortwave Radiative Forcing Calculated Using the SBDART Model with MODIS and AERONET Observations:An Application in Winter and Summer in Eastern China

Taking winter and summer in eastern China as an example application, a grid-cell method of aerosol direct radiative forcing(ADRF) calculation is examined using the Santa Barbara DISORT Atmospheric Radiative Transfer(SBDART) model with inputs from MODIS and AERONET observations and reanalysis data. Results show that there are significant seasonal and regional differences in climatological mean aerosol optical parameters and ADRF. Higher aerosol optical depth(AOD)occurs in summer and two prominent high aerosol loading centers are observed. Higher single scattering albedo(SSA) in summer is likely associated with the weak absorbing secondary aerosols. SSA is higher in North China during summer but higher in South China during winter. Aerosols induce negative forcing at the top of the atmosphere(TOA) and surface during both winter and summer, which may be responsible for the decrease in temperature and the increase in relative humidity.Values of ADRF at the surface are four times stronger than those at the TOA. Both AOD and ADRF present strong interannual variations; however, their amplitudes are larger in summer. Moreover, patterns and trends of ADRF do not always correspond well to those of AOD. Differences in the spatial distributions of ADRF between strong and weak monsoon years are captured effectively. Generally, the present results justify that to calculate grid-cell ADRF at a large scale using the SBDART model with observational aerosol optical properties and reanalysis data is an effective approach.     

Airborne Observations of Cloud Condensation Nuclei Spectra and Aerosols over East Inner Mongolia

A set of vertical profiles of aerosol number concentrations, size distributions and cloud condensation nuclei(CCN)spectra was observed using a passive cloud and aerosol spectrometer(PCASP) and cloud condensation nuclei counter, over the Tongliao area, East Inner Mongolia, China. The results showed that the average aerosol number concentration in this region was much lower than that in heavily polluted areas. Monthly average aerosol number concentrations within the boundary layer reached a maximum in May and a minimum in September, and the variations in CCN number concentrations at different supersaturations showed the same trend. The parameters c and k of the empirical function N = c S~kwere 539 and1.477 under clean conditions, and their counterparts under polluted conditions were 1615 and 1.42. Measurements from the airborne probe mounted on a Yun-12(Y12) aircraft, together with Hybrid Single-Particle Lagrangian Integrated Trajectory model backward trajectories indicated that the air mass from the south of Tongliao contained a high concentration of aerosol particles(1000–2500 cm~(-3)) in the middle and lower parts of the troposphere. Moreover, detailed intercomparison of data obtained on two days in 2010 indicated that the activation efficiency in terms of the ratio of NCCNto N_a(aerosols measured from PCASP) was 0.74(0.4 supersaturations) when the air mass mainly came from south of Tongliao, and this value increased to 0.83 on the relatively cleaner day. Thus, long-range transport of anthropogenic pollutants from heavily polluted mega cities,such as Beijing and Tianjin, may result in slightly decreasing activation efficiencies.     

Characterization of Black Carbon in the Ambient Air of Agra,India:Seasonal Variation and Meteorological Influence

This study characterizes the black carbon in Agra, India home to the Taj Mahal—and situated in the Indo-Gangetic basin.The mean black carbon concentration is 9.5 μg m~(-3)and, owing to excessive biomass/fossil fuel combustion and automobile emissions, the concentration varies considerably. Seasonally, the black carbon mass concentration is highest in winter, probably due to the increased fossil fuel consumption for heating and cooking, apart from a low boundary layer. The nocturnal peak rises prominently in winter, when the use of domestic heating is excessive. Meanwhile, the concentration is lowest during the monsoon season because of the turbulent atmospheric conditions and the process of washout by precipitation. The ratio of black carbon to brown carbon is less than unity during the entire study period, except in winter(December). This may be because that biomass combustion and diesel exhaust are major black carbon contributors in this region, while a higher ratio in winter may be due to the increased consumption of fossil fuel and wood for heating purposes. ANOVA reveals significant monthly variation in the concentration of black carbon; plus, it is negatively correlated with wind speed and temperature. A high black carbon mass concentration is observed at moderate(1–2 m s~(-1)) wind speed, as compared to calm or turbulent atmospheric conditions.     

华东地区气溶胶分布和变化特征研究

利用中分辨率光谱仪(MODIS)获得的气溶胶光学厚度(AOD)、细粒子比例(FMF)和臭氧检测仪(OMI)获得的气溶胶指数(AI)统计分析了2005—2014年我国华东地区气溶胶光学性质的时空分布特征,同时利用潜在源分析(PSCF)模型对我国华东地区AOD和AI的潜在源区进行分析。研究结果表明:华东地区的AOD、FMF和AI时空分布存在较大的差异,2005—2014年AOD和AI的平均值高值主要分布在华东地区北部,FMF的高值区则分布在华东南部地区;10 a间华东地区AOD呈现出先升高后降低的趋势,FMF波动幅度不明显,AI值有所上升;整个华东地区AOD的季节变化较为明显,春夏两季AOD明显高于秋冬两季。华东北部和中部地区夏季由于较高的相对湿度,AOD最大可达0.8以上。而在华东南部地区,夏季受到降水的影响,AOD维持在0.2~0.4之间。FMF季节变化趋势与AOD不同,夏季最大达到0.58,春季最小仅为0.26。AI平均值在冬季最大高达0.63,夏季最小,为0.27。PSCF分析显示华东地区AOD主要源区以局地排放为主,同时也存在由河南、湖北和湖南等周边省市近距离输送影响;AI以局地和北方远距离输送为主,同时也受到河南、湖北等周边省市近距离输送的影响。     

南京北郊气溶胶中多环芳烃的污染特征及来源解析

利用2010年8月采集的南京北郊气溶胶样品,使用GC-MS对美国环保总局推荐的16种优先控制的多环芳烃含量、分布特征进行了研究。在此基础上,用特征比值法、主因子分析法分析得到南京市北郊大气中PAHs的主要来源为车辆尾气、燃煤、天然气和草木秸秆燃烧,并应用绝对因子分析法进一步定量计算主要源对PAHs的浓度贡献率。结果表明:1)大气颗粒物中16种多环芳烃的平均总质量浓度为135.85 ng/m~3,多环芳烃以4环为主,在可吸入颗粒物中的浓度占总浓度的88.7%;2)PM10中多环芳烃呈双模态分布,在9~10μm的粗模态和0.65~1.10μm的积聚模态上各出现一个峰值;3)天然气等对PAHs的贡献率为5.7%~44.1%,燃煤源的贡献率为20.7%~57.8%,汽车尾气的贡献率为4.6%~46.7%,木材燃烧的贡献率为2.9%~38.1%。本地交通排放和燃料燃烧是南京北郊大气颗粒物中PAHs的主要来源,远距离输送也对南京北郊气溶胶中的PAHs有重要贡献。     

大气气溶胶中的铁及其溶解度研究综述

生物活性铁(Fe) 进入生物地球化学循环中能够调节碳循环,影响海洋初级生产力,间接影响全球气候变化。决定 Fe生物可利用度的关键因子是可溶Fe含量,其中大气气溶胶的长距离传输是上层海洋获取生物可利用Fe的重要来源。近年来,对气溶胶中的Fe及溶解度的研究取得了重要进展,包括对不同区域Fe质量浓度和溶解度的观测以及对Fe溶解度影响因素的讨论。基于以上研究成果,汇总了近二十年全球部分陆地和海洋站点观测所得的不同粒径气溶胶颗粒物中的Fe质量浓度及其溶解度数据;重点介绍了气溶胶沉降入海洋前影响Fe溶解度的主要因素,包括Fe的来源、大气物理过程以及大气化学和传输混合过程等,并就各影响因素间的关联及相对重要性展开讨论;对未来气溶胶 Fe的研究方向和方法提出建议。