基于光学遥测技术的合肥市气溶胶参数观测

为了解合肥市气溶胶光学特性参数,采用太阳光度计CE318对雾霾期间气溶胶进行监测并分析了气溶胶光学厚度(AOD)、Angstorm波长指数(α)、体积谱函数等气溶胶光学特性参数。同时采用多轴差分吸收光谱技术(MAX-DOAS)反演了雾霾期间二次气溶胶前体物NO2柱浓度并和固定点测量的颗粒物(PM)浓度进行了对比。分析表明,雾霾期间的气溶胶光学厚度比晴天高,且随波长的增加而减少。Angstorm波长指数在雾霾天气时平均值较高,表明合肥雾霾天气期间气溶胶粒子以细粒子为主。气溶胶前体物NO2浓度变化与雾霾天气空气中颗粒物含量(PM10、PM2.5等)变化一致性较好,表明二次气溶胶可能对气溶胶颗粒浓度有一定影响。     

基于MODIS的华东地区气溶胶光学厚度时空变化特征分析

选用2001年1月-2015年12月MODIS数据,运用线性趋势等方法研究华东地区气溶胶光学厚度(AOD)的变化特征及影响因素。结果表明,2001-2015年华东地区AOD平均值变化范围在0.4~0.7之间,且呈现递减趋势。山东省西部、安徽省北部及江苏省AOD相对较高;福建省、浙江省南部及江西省南部地区AOD较低。华东地区气溶胶最低值出现在12月,最高值出现在6月;虽然冬季AOD变化趋势增长较高,但最高值仍出现在夏季。AOD主要受地形、NDVI、风速及人类活动等因素的影响,地形、NDVI、风速均与AOD呈负相关。     

2000—2019年常州市MODIS气溶胶光学厚度时空变化特征研究

利用2000—2019年TERRA和AQUA相结合的气溶胶光学厚度(AOD)产品数据，从时间和空间角度分析了常州市AOD的变化特征。结果显示：(1)2012—2019年常州市PM_2.5与AOD年均值的相关系数为0.898,表明AOD产品适用于常州市气溶胶污染年际变化研究。(2)2000—2019年常州市AOD年均值范围为0.463～0.688,平均值为0.627。其中，2000—2007年常州市AOD年均值整体呈上升趋势，2011—2019年呈下降趋势。常州市AOD的月变化趋势呈倒“U”形，特征最高值出现在6月，最低值出现在12月。常州市AOD有明显的季节变化特征，夏季最高，冬季最低。(3)常州市AOD高值主要分布在西部的溧阳市金坛区，北部的新北区也存在少量高值分布。(4)通过Moran指数发现，常州市Moran指数均大于零，表明各年份AOD均呈集聚状态。2000—2010年常州市AOD的空间集聚程度较高，2010年以后的空间集聚效应逐渐减弱。空间热点分析表明，2011—2019年常州市AOD高值集聚区域相比2000—2010年有所减少，冷点集聚区域有所增加，AO...     

灰霾天气期间南京气溶胶的化学组成及光学特性研究

利用2013年6月—12月灰霾天气期间南京城郊气溶胶采样结果,研究气溶胶中水溶性离子的特征和相关性;结合同期城区的大气成分逐时观测资料,分析黑碳的日变化及其与气态污染物的关系;运用光学参量计算模型(OPAC)和辐射传输模型(TUV)研究气溶胶的光学特性及辐射强迫。结果表明:发生灰霾天气时南京城郊主要大气污染物是细颗粒,其中SO2-4与NO-3是最主要的水溶性无机盐离子,NO-3/SO2-4质量比较高,呈现硫酸盐和硝酸盐混合型污染特征。黑碳浓度具有明显的日变化特征,呈双峰型结构。灰霾期间硫酸盐气溶胶在大气层顶和地面造成的平均辐射强迫分别为-10.6 W/m2和-10.8 W/m2,黑碳气溶胶在正午大气层顶和地面造成的平均辐射强迫分别为9.12 W/m2和-29.77 W/m2。     

基于环境一号卫星的气溶胶光学厚度反演技术研究

基于环境一号卫星(HJ-1)遥感观测数据,采用改进的暗目标算法和深蓝算法分别对暗像元、亮像元地表的气溶胶光学厚度(AOD)进行反演,并将其结果与MOD04产品对比。结果表明:二者反演的AOD空间变化特征较一致,相关系数达0.874,HJ-1星反演结果有更高的空间分辨率。当AOD值0.2时,HJ-1星反演结果可靠性较低;当AOD值在0.2~0.8之间时,HJ-1星CCD相机反演气溶胶的结果与MOD04产品最相近,二者相对误差10%;当AOD值在0.8~1.5之间时,HJ-1星反演结果相对MOD04产品显著偏高;当AOD值1.5时,HJ-1星反演结果相对MOD04产品偏低。     

陆地气溶胶细模态比的有效反演算法

提出了基于卫星气溶胶光学厚度(AOD)和恩格指数反演气溶胶细模态比(FMF)的新算法，该算法采用更准确的气溶胶模型，构建了以AOD和FMF为变量的二维查找表。将该算法用于北京和Jaipur两个地区FMF反演，并与AERONET和MODIS的FMF作比较。结果表明，新算法反演的FMF与AERONET的FMF的相关系数为0.656,而MODIS C6与AERONET的FMF相关系数为0.436;以AERONET的FMF为标准，新算法的均方根误差为0.156,低于MODIS C6的均方根误差(0.318);新算法的反演结果中有90%处于±0.4的误差范围内，而MODIS C6的FMF只有57.4%处于该误差范围内。     

高效率颗粒物微物理模型简介与重污染过程应用分析

中国细颗粒物(PM2.5)导致的空气污染和雾霾天气问题越来越突出,在低层对流层中很多地方都有显著的二次颗粒物生成过程,因此对颗粒物物理化学转化过程的研究具有重要意义,其转化过程对空气质量模式模拟和预报的准确性有重要影响。高效率颗粒物微物理(APM)模型经过近20多年的研究和发展,在全球化学传输模型(GEOS-Chem)、区域性气象和化学预报模型(WRF-Chem)通用地球系统模型(CESM-CAM5)等气象及环境空气质量预报模型中取得了很好的应用验证,能够在全球/区域等不同尺度对粒子生成、长大、凝聚、消除等微物理过程以及气溶胶光学厚度(AOD)、直接/间接辐射强迫等进行模拟。应用GEOS-Chem-APM模式模拟了2014年2月京津冀区域的重污染过程。结果显示,湿度模拟的准确性对其他物理和污染物浓度等模拟结果有重要作用;2月20—26日的重污染过程模拟结果与实际观测较为吻合,主要污染特点是较高的湿度(90%以上),同时,二次颗粒物和包裹了二次物种的一次颗粒物(黑碳/有机碳)是低能见度的最大贡献者。     

基于MODIS数据产品的桂林市气溶胶时空分布及变化特征分析

利用MODIS 3 km AOD原始数据,借助ENVI、Arc GIS等软件对桂林市AOD进行提取和插值,模拟该市AOD的空间分布特征,综合分析区域地形、NDVI与AOD分布的相关关系。结果表明:桂林市AOD空间分布受到地形的影响,AOD高值区出现在近乎封闭的桂林中部盆地和其他区域的谷地,地势高的区域AOD值较低;利用NCEP分析资料的风场数据,对比春节期间桂林市的AOD相对高值中心的变化,得出气溶胶的迁移和扩散方向与风向一致,静风时AOD相对高值中心更容易集中在中部盆地的城区。     

风云三号卫星气溶胶光学厚度产品的适用性验证

利用长三角地区浦东、东滩、太湖3个测站的太阳光度计CE318地基遥感观测得到的气溶胶光学厚度(AOD)数据对风云三号气象卫星FY-3A/B MERSI反演的550 nm波长AOD进行有效性验证。结果表明，FY-3A的反演结果相关系数高于0.96,仅有20%的样本表现出较大的偏差。FY-3B的相关系数最高为0.77,均方根误差(RMSE)最大为0.35。太湖站点的相关系数比浦东大，说明MERSI的反演算法在太湖更适用。FY-3A/B MERSI反演结果总体上偏小，存在一定的系统偏差，主要由气溶胶模型的假设、设备标定、选择像素比例等原因造成。     

长三角卫星气溶胶光学厚度的空间插值研究

以长三角为研究区域，从数据采样密度、实测数据和空间分布等方面探讨空间插值方法插补气溶胶光学厚度(AOD)的适用性。研究结果表明，随着采样密度降低，AOD空间插值结果与原始影像的拟合优度R²呈幂函数递增，拐点在5%附近，自然邻域插值法表现最好；插值后卫星AOD有效数据天数比例提高到约70%,相关系数R>0.8,年均值由0.48升高到0.66,从西北往东南逐渐减低。标准差由0.27升高到0.38,从北往南逐渐降低；有效数据天数比例随降水量由南到北递减呈现相反递增趋势，水面和山地有效数据天数比例低。数据采样密度为5%时，插值结果与原始影像的空间自相关、标准差和均值的相关系数分别为0.74、0.73和0.69。     

Aerosol Optical and Radiative Properties Observed at Anmyeon and Jeju, Korea in the Spring of 2000 and 2001

The radiative properties of atmospheric aerosols are determined by their masses, chemical characteristics, and optical properties, such as aerosol optical depth (AOD), Åstrom;ngström parameter (α) and single scattering albedo (SSA). In particular, the aerosol optical properties determine the surface temperature perturbation that may give some information in understanding regional atmospheric radiative forcing. To understand the radiative forcing and regional source of an aerosol, the present study focused on the analysis of the aerosol optical properties based on two different observations in the spring season, during the special Asian dust storm period. The Korean Global Atmosphere Watch Observatory (KGAWO), at Anmyeon Island, and the ACE-Asia super-site, at Gosan, Jeju Island, have measured radiations and aerosols since 2000. The sites are located in the mid-west and south of the Korean peninsula, which are strongly affected by the Asian dust coming from China every spring. The aerosol optical properties, measured by ground-based sun and sky radiometers, over both sites were analyzed to gain an understanding of the radiation and climate properties.The probability distributions of the aerosol optical depths were rather narrow, with a modal value of approximately 0.38 at both sites during 2001 and 2002. The Ångström parameter frequency distributions showed two peaks at Anmyeon GAW, but only one peak at the Jeju ACE-Asia super site. One peak, around 0.63, characterizes the situation of a day having Asian dust, the second peak, around 1.13, corresponded to the relatively dust-free cases. The correlation between the aerosol optical depth and the Ångström exponents resulted in a wide range of the Ångström parameter, α, over a wide range of optical depths at Anmyeon, whereas a narrow range of α, with moderate to low values for the AOD at Jeju. Under dust free conditions the single scattering albedo (SSA) decreased with wavelength, while in the presence of Asian dust,the SSA either stayed neutral, or increased slightly with wavelength at Anmyeon, and showed higher value than Jeju. The change in the surface temperature was highly correlated with increases in the aerosol optical depth at Anmyeon to a greater extent than at Jeju.     

Factors influencing Aerosol Characteristics over Urban Environment

Atmospheric aerosols are an important contributing factor to turbidity in urban areas besides having impact on health. Aerosol characteristics show a high degree of variability in space and time as anthropogenic share of total aerosol loading is quite substantial and is essential to monitor the aerosol features over long time scales. In the present study extensive observations of columnar aerosol optical depth (AOD), total columnar ozone (TCO) and precipitable water content (PWC) have been carried over a tropical urban city of Hyderabad, India. Significant variations of AOD have been observed during course of the day with low values of AOD during morning and evening hours and high values during afternoon hours. Spectral variation of AOD exhibits high AOD at smaller wavelengths and vice versa except a slight enhancement in AOD at 500 nm. Anomalies in AOD, particulate matter and black carbon concentrations have been observed during May, 2003. Back trajectory analysis of air mass during these episodes suggested variation in air mass trajectories. Analysis of the results suggests that air trajectories from land region north of study area cause high loading of atmospheric aerosols. The results are discussed in the paper.     

无锡市MODIS气溶胶光学厚度与PM_(2.5)质量浓度的相关性分析

将MODIS数据反演得出的气溶胶光学厚度与无锡市区实测得到的PM2.5质量浓度进行相关性分析,结果两者的直接相关性较低,相关系数为0.283 4。气溶胶光学厚度经垂直分布和湿度修正后,两者相关性显著提高,相关系数为0.565 9。虽然修正过程存在误差,相关性未达预期程度,但该方法得到的气溶胶光学厚度可作为PM2.5监测的有效补充。     

联网激光雷达的观测性能综合平行比对

激光雷达以其高精度的探测能力在大气污染研究中得到了广泛应用。由于生产厂家和反演算法等的差异,激光雷达观测数据的质量参差不齐。笔者利用2013年11月和2014年3月2种不同型号激光雷达(高频激光雷达和微脉冲激光雷达) 532 nm波段的气溶胶消光系数和气溶胶自动观测网(AERONET)光学厚度数据,对2部雷达在不同空气质量下的观测性能进行综合对比。结果表明:2部雷达在不同空气质量条件下探测效果不同,空气质量为优和良时,2部雷达的消光系数比较一致,偏差主要在1 km以下;随着污染加剧,2部雷达在1 km以下的偏差先减小后增大,1 km以上的偏差随高度增大。与AERONET的光学厚度相比,高频激光雷达在轻度污染和严重污染时相对误差较小(3. 23%和26. 75%);微脉冲激光雷达在良和轻度污染时相对误差较小(40. 00%和25. 81%)。2部雷达设备的差异和重污染时不利的气象条件是影响雷达表现的重要原因。该研究作为全国激光雷达联网的前期工作,为全国激光雷达数据的综合应用提供了参考。     

LIDAR Measurements of the Vertical Aerosol Profile and Optical Depth during the ACE-Asia 2001 IOP, at Gosan, Jeju Island, Korea

In order to investigate the characteristic of optical properties of Asian dust particles, the atmospheric aerosol vertical profile was measured with the multi-wavelength LIDAR system, at the Gosan super site (33 degrees 17'N, 126 degrees 10'E) in Jeju Island, Korea, during the ACE-Asia intensive observation period, 11 March-4 May 2001. An air mass backward trajectory analysis, using Hysplit-4, was carried out to track the aerosol plume, with high mass loading, from the Chinese desert regions during the period of Asian dust storm events. Vertical atmospheric aerosol profiles on three major Asian dust storm event days, 22 March and 13 and 26 April 2001, have been analyzed. The LIDAR-derived aerosol optical depth values were compared with those measured by a collocated sunphotometer.     

Analysis of spatial and seasonal distributions of MODIS aerosol optical properties and ground-based measurements of mass concentrations in the Yellow Sea region in 2009

Satellite-retrieved data on aerosol optical depth (AOD) and Ångström exponent (AE) using a moderate resolution imaging spectrometer (MODIS) were used to analyze large-scale distributions of atmospheric aerosols in East Asia. AOD was relatively high in March (0.44?±?0.25) and low in September (0.24?±?0.21) in the East Asian region in 2009. Sandstorms originating from the deserts and dry areas in northern China and Mongolia were transported on a massive scale during the springtime, thus contributing to the high AOD in East Asia. However, whereas PM10 with diameters ≤10 μm was the highest in February at Anmyon, Cheongwon, and Ulleung, located leeward about halfway through the Korean Peninsula, AOD rose to its highest in May. The growth of hygroscopic aerosols attendant on increases in relative humidity prior to the Asian monsoon season contributed to a high AOD level in May. AE typically appears at high levels (1.30?±?0.37) in August due to anthropogenic aerosols originating from the industrial areas in eastern China, while AOD stays low in summer due to the removal process caused by rainfall. The linear correlation coefficients of the MODIS AOD and ground-based mass concentrations of PM10 at Anmyon, Cheongwon, and Ulleung were measured at 0.4~0.6. Four cases (6 days) of mineral dustfall from sandstorms and six cases (12 days) of anthropogenically polluted particles were observed in the central area of the Korean Peninsula in 2009. PM10 mass concentrations increased at both Anmyon and Cheongwon in the cases of mineral dustfall and anthropogenically polluted particles. Cases of dustfall from sandstorms and anthropogenic polluted particles, with increasing PM10 mass concentrations, showed higher AOD values in the Yellow Sea region.     

Characteristics of aerosol types during large-scale transport of air pollution over the Yellow Sea region and at Cheongwon,Korea, in 2008

Episodes of large-scale transport of airborne dust and anthropogenic pollutant particles from different sources in the East Asian continent in 2008 were identified by National Oceanic and Atmospheric Administration satellite RGB (red, green, and blue)-composite images and the mass concentrations of ground level particulate matter. These particles were divided into dust, sea salt, smoke plume, and sulfate by an aerosol classification algorithm. To analyze the aerosol size distribution during large-scale transport of atmospheric aerosols, aerosol optical depth (AOD) and fine aerosol weighting (FW) of moderate imaging spectroradiometer aerosol products were used over the East Asian region. Six episodes of massive airborne dust particles, originating from sandstorms in northern China, Mongolia, and the Loess Plateau of China, were observed at Cheongwon. Classified dust aerosol types were distributed on a large-scale over the Yellow Sea region. The average PM10 and PM2.5 ratio to the total mass concentration TSP were 70% and 15%, respectively. However, the mass concentration of PM2.5 among TSP increased to as high as 23% in an episode where dust traveled in by way of an industrial area in eastern China. In the other five episodes of anthropogenic pollutant particles that flowed into the Korean Peninsula from eastern China, the anthropogenic pollutant particles were largely detected in the form of smoke over the Yellow Sea region. The average PM10 and PM2.5 ratios to TSP were 82% and 65%, respectively. The ratio of PM2.5 mass concentrations among TSP varied significantly depending on the origin and pathway of the airborne dust particles. The average AOD for the large-scale transport of anthropogenic pollutant particles in the East Asian region was measured to be 0.42 ± 0.17, which is higher in terms of the rate against atmospheric aerosols as compared with the AOD (0.36 ± 0.13) for airborne dust particles with sandstorms. In particular, the region ranging from eastern China, the Yellow Sea, and the Korean Peninsula to the Korea East Sea was characterized by high AOD distributions. In the episode of anthropogenic polluted aerosols, FW averaged 0.63 ± 0.16, a value higher than that in the episode of airborne dust particles (0.52 ± 0.13) with sandstorms, showing that fine anthropogenic pollutant particles contribute greatly to atmospheric aerosols in East Asia.