LIDAR investigation of properties of atmospheric aerosol

In the paper application of lidars for investigation of aerosol particle size distribution and for observation of aerosol consisting of solid state particles is presented. For size distribution the multiwavelength lidar and original method of data analysis was applied. For registration of dust transported to Central Europe from Sahara and Middle East deserts analysis of depolarization of the backscattered signals was used. In order to solve the lidar equation measurements of total atmospheric optical depth by means of Microtops sun photometer was done. Mean size and the aspect ratio of dust particles were determined by comparing of lidar observations with data from T-matrix calculations.     

基于粒子谱的多波长激光雷达近场大气光学参数校正方法

非同轴激光雷达由于存在发射激光与接收望远镜之间的不完全重叠区, 造成近场回波信号与真实大气信号不一致. 对于多波长激光雷达, 这种不一致更为突出和复杂. 然而, 近场大气是人类活动最集中的区域, 因此对多波长激光雷达近场信号进行校正, 对于了解和探究边界层大气具有十分重要的意义. 提出了一种利用粒子谱仪测量近地层气溶胶尺度谱分布并运用Mie 散射理论和低层大气指数衰减规律, 进而直接校正多波长激光雷达消光系数廓线近场信号的新方法. 通过对晴天、多云天气和雾天多波长气溶胶消光系数廓线近场信号的校正, 证明了该方法的可行性和实用性. 该方法着重考虑了多波长激光雷达比的波长依赖性和气溶胶粒子谱分布的天气相关性, 将该方法用于近地层大气消光系数廓线校正, 减少了由于不考虑这两个因素带来的消光系数廓线反演和校正的不确定性. 该方法对于研究不同天气情况下边界层内的大气气溶胶物理、光学特性具有一定的实用价值和借鉴意义.     

Multiwavelength lidar for measurements of atmospheric aerosol

We represent the results of our investigations on size distribution of atmospheric aerosol particles by means of a multiwavelength lidar based on Nd : YAG and Ti : Sa lasers equipped with frequency multipliers. The measurements were performed in mountainous areas.     

银川上空大气气溶胶光学特性激光雷达探测研究

小型米散射激光雷达是广泛使用的探测大气气溶胶光学特性的有效工具。作者研制了一台小型米散射激光雷达,并利用该激光雷达于2009年4月1日至4月10日期间对宁夏银川地区(北纬38°29′, 东经106°06′)上空的大气气溶胶光学特性以及时空分布进行了观测。系统选用532 nm波长激光作为光源,采用Fernald法对接收到的大气回波信号进行反演,得到了气溶胶消光系数的高度分布廓线及24 h内气溶胶消光系数相对浓度的时空变化特性;并对期间一次明显的沙尘天气进行了观测和分析。观测结果表明,该小型米散射激光雷达能够对大气气溶胶及其时空分布情况进行有效、连续的观测,其观测结果有利于分析该地区气溶胶及沙尘天气的变化趋势。     

Iteration method for the inversion of simulated multiwavelength lidar signals to determine aerosol size distribution

A new method is proposed to derive the size distribution of aerosol from the simulated multiwavelength lidar extinction coefficients. The basis for this iteration is to consider the extinction efficiency factor of particles as a set of weighting function covering the entire radius region of a distribution. The weighting functions are calculated exactly from Mie theory. This method extends the inversion region by subtracting some extinction coefficient. The radius range of simulated size distribution is 0.1－10.0μm, the inversion radius range is 0.1－2.0μm, but the inverted size distributions are in good agreement with the simulated one.     

Inverse problem for particle size distributions of atmospheric aerosols using stochastic particle swarm optimization

As a part of resolving optical properties in atmosphere radiative transfer calculations, this paper focuses on obtaining aerosol optical thicknesses (AOTs) in the visible and near infrared wave band through indirect method by gleaning the values of aerosol particle size distribution parameters. Although various inverse techniques have been applied to obtain values for these parameters, we choose a stochastic particle swarm optimization (SPSO) algorithm to perform an inverse calculation. Computational performances of different inverse methods are investigated and the influence of swarm size on the inverse problem of computation particles is examined. Next, computational efficiencies of various particle size distributions and the influences of the measured errors on computational accuracy are compared. Finally, we recover particle size distributions for atmospheric aerosols over Beijing using the measured AOT data (at wavelengths λ=0.400, 0.690, 0.870, and 1.020 μm) obtained from AERONET at different times and then calculate other AOT values for this band based on the inverse results. With calculations agreeing with measured data, the SPSO algorithm shows good practicability.     

New dust aerosol identification method for spaceborne lidar measurements

Classification is a critical step in the backscatter lidar data processing to accurately retrieve extinction and backscatter profiles of atmospheric aerosols and clouds. Different schemes, such as the probability distribution functions (PDFs) method, have been used in the cloud and aerosol classification. In this paper, we attempt to use the support vector machine (SVM) to discriminate aerosols from clouds, with a focus on dust aerosol classification in China. To demonstrate the feasibility of the SVM classifier, we chose dust storms that occurred in the Gobi and Taklimakan deserts and observed by the CALIPSO lidar in spring time 2007. The results show that the SVM can correctly identify the dust storms.     

多波段激光雷达颗粒物质量浓度探测方法

为了获得大气颗粒物的质量浓度廓线,提出一种基于多波段激光雷达回波信号的大气气溶胶消光系数与颗粒物质量消光效率相结合的新型算法。该方法利用覆盖紫外到近红外波段的激光雷达作为遥感探测工具,获取气溶胶的消光与后向散射系数,反演得到气溶胶粒子谱分布;同时,根据米散射理论算出气溶胶消光效率,结合粒子谱分布,提出颗粒物质量消光效率模型,从而建立基于消光系数与质量消光效率相结合的反演颗粒物质量浓度的新型数学模型与算法。采用该算法对两组不同天气条件多波段激光雷达实测数据进行反演,并与地表采用的颗粒物浓度对比,证明该方法的可行性,为实现颗粒物质量浓度空间分布的探测提供科学依据和方法论。     

双光路DOAS系统获取大气颗粒物粒谱分布方法研究

当前大气复合污染日趋严重,造成大气氧化性增强,气体向颗粒物的转化加快。大气颗粒物粒径大小及谱分布决定其在大气中的行为,以差分吸收光谱法（DOAS）为基础,结合双光路设计技术,开展实时、在线、获取近地面大气气溶胶颗粒物的粒谱分布的光谱方法研究。首先构建低噪声性能稳定的宽带氙弧灯为光源的双光路差分吸收光谱系统,基于干净天气条件下大气的能见度数据对系统进行校准,通过两个不同光路获得的光谱信号强度之比获取近地面紫外-近红外波段的大气总宽波段消光系数。基于宽波段消光系数,在去除瑞利散射以及气体吸收对消光系数的影响后,解析出气溶胶颗粒物的消光系数。基于核函数准则,利用均匀球型粒子的电磁场Mie理论来反演气溶胶物理特性,获得气溶胶粒子在该测量谱段的体积谱分布,利用体积谱与数密度谱的关系,反演出气溶胶粒子的数密度谱分布。开展利用直方图方法来表现颗粒物的粒谱分布方法研究,首先将DOAS测量波段近似等分为若干谱段,利用谱段处平均值,获取气溶胶粒谱直方分布图。最后把该系统和方法应用于外场实验,获得了气溶胶颗粒物在300～650 nm范围内的消光系数,将测量波段等分为11个谱段,反演了颗粒物的在0.1～1.25 μm粒径范围的数密度谱分布。该研究为整治我国灰霾天气,研究大气气相/粒子非均相化学反应提供科学依据。同时将推动DOAS技术的进一步发展和应用。     

小型米散射激光雷达的研制及其探测

介绍了一台自行研制的用于大气气溶胶光学特性和水平能见度测量的小型米散射激光雷达系统,并进行了一系列观测实验和分析.系统选用532nm波长激光作为光源,采用Fernald反演算法对接收到的大气回波信号进行反演得到气溶胶消光系数.通过对西安城区上空的气溶胶光学特性进行连续观测,测得了西安城区不同时刻消光系数的高度分布廓线、以及24小时内大气边界层高度的时空变化特性,并对大气水平能见度进行了连续观测,其结果与当地气象部门提供的水平能见度数据的变化趋势基本一致.观测结果表明,利用该米散射激光雷达可以对大气气溶胶光学特性和水平能见度进行有效测量.     

PM2.5质量浓度廓线的激光雷达反演研究

针对PM2.5质量浓度在空间不同高度上的分布测量较难这一问题,采用激光雷达和大气透射仪以及粒径谱仪进行联合探测,反演PM2.5质量浓度廓线.考虑相对湿度等因素的影响,通过大气透射仪和粒径谱仪建立地面PM2.5质量浓度与大气透过率之间的函数关系.以大气透射仪所测地面大气透过率值为基准,修正激光雷达大气透过率在高空的边界值,结合Fernald后向积分法反演出大气透过率的垂直分布.依据建立的函数关系和大气透过率垂直分布,得到PM2.5质量浓度廓线,并采用HYSPLIT后向轨迹分析不同高度层气溶胶的输送和动态变化.通过激光雷达、大气透射仪和粒径谱仪的联合探测实验,结果表明:经大气透射仪修正后,大气透过率垂直分布精度得到了提高,PM2.5质量浓度廓线很好的反映了气溶胶垂直分布的微物理变化特征.     

Sensitivity of depolarized lidar signals to cloud and aerosol particle properties

Measurements from depolarized lidars provide a promising method to retrieve both cloud and aerosol properties and a versatile complement to passive satellite-based sensors. For lidar observations of clouds and aerosols, multiple scattering plays an important role in the scattering process. Monte Carlo simulations are carried out to investigate the sensitivity of lidar backscattering depolarization to cloud and aerosol properties. Lidar parameters are chosen to be similar to those of the upcoming space-based CALIPSO lidar. Cases are considered that consist of a single cloud or aerosol layer, as well as a case in which cirrus clouds overlay different types of aerosols. It is demonstrated that besides thermodynamic cloud phase, the depolarized lidar signal may provide additional information on ice or aerosol particle shapes. However, our results show little sensitivity to ice or aerosol particle sizes. Additionally, for the case of multiple but overlapping layers involving both clouds and aerosols, the depolarized lidar contains information that can help identify the particle properties of each layer.     

一种无需定标的地基激光雷达气溶胶消光系数精确反演方法

如何对低云下雾霾的激光雷达探测数据进行准确定标,一直是米散射激光雷达数据反演中一个有待解决的问题.对于低云和雾霾同时出现的天气,激光很难穿透云层,不能利用大气清洁层对激光雷达信号定标.而对于探测高度小于6 km的便携式米散射激光雷达,由于探测高度较低,也很难利用大气清洁层对激光雷达数据进行定标.本文根据Fernald前向积分方程的特点,提出了一种气溶胶消光系数迭代算法.通过对反演过程进行特定设置,每经过一次迭代,利用气溶胶消光系数迭代算法得到的气溶胶消光系数反演值与其真实值之间的差值就会相应减小.经过几次迭代后,气溶胶消光系数反演值与真实值之间的差值就会小到可以忽略不计.初步反演结果表明:利用气溶胶消光系数迭代算法,无需对激光雷达探测数据定标就能精确反演出气溶胶消光系数廓线.     

双视场米散射激光雷达探测对流层气溶胶

介绍了自行研制的用来探测对流层大气气溶胶消光特性的双视场米散射激光雷达.该激光雷达采用两个具有独立接收视场的探测通道分别接收高低层532 nm的大气回波信号,可以兼顾低层大视场角低探测盲区和高层小视场角高探测高度的要求.叙述了该雷达系统的总体结构和技术参量以及数据处理方法,给出了合肥地区(东经117.16°,北纬31.90°)大气气溶胶消光系数廓线和对流层光学厚度的探测结果.测量结果表明,该雷达具备昼夜连续观测对流层大气气溶胶的能力,可以很好地反映气溶胶粒子的时间和空间分布特征.      

多波长激光雷达探测多种天气气溶胶光学特性与分析

设计和构建了波长为355,532和1064nm的多波长米散射激光雷达系统,并研究了多波长激光雷达信号数据处理和反演算法,实现了对地表气溶胶的探测;利用该激光雷达对2013年冬季西安市上空大气进行了探测,研究分析了雾霾天、晴天和有云天气的混合层高度、气溶胶消光特征和粒径分布特征.分析比较了不同波长探测到的混合层高度变化情况.在雾霾天,大气混合层高度与晴天和有云天相比明显偏低,在0.4 km附近,而晴天的混合层高度有0.5—0.8 km.利用长波(1064 nm/532 nm)段和短波(532 nm/355 nm)段两个ngstrm指数分析了不同天气情况下的粒径分布特征.对于近地层气溶胶,雾霾天的长波ngstrm(1064/532)指数小于短波ngstrm(532/355)指数,而晴天与之相反,说明在近地层雾霾有污染的大气中,存在有较多的粗粒子.在云层中,ngstrm指数明显减小,并且出现负值,说明云粒子半径比较大.     

新型车载式激光雷达探测对流层气溶胶

介绍了中国科学院安光所自行研制的新型车载式激光雷达的结构和主要技术参数,给出了雷达数据的反演方法,并利用它对合肥地区对流层的大气气溶胶进行了探测。测量结果表明,该雷达具备昼夜连续观测对流层大气气溶胶的能力,可以很好地反映气溶胶粒子的时间与空间分布特征。     

有机种子对异戊二烯光氧化反应形成二次有机气溶胶的粒谱演化和形成速率的影响

基于室内烟雾箱实验平台,研究了在有机种子气溶胶下,来自OH启动异戊二烯光氧化反应形成的二次有机气溶胶的动力学. 探究了二次有机气溶胶的粒谱分布分别与来自室内大气中痕量碳氢化合物光氧化反应产生的种子颗粒物浓度以及前体物异戊二烯浓度的依赖关系. 研究结果表明在高浓度种子气溶胶和低浓度异戊二烯条件下(对应于典型城市大气条件),光化学反应形成的二次有机产物凝聚到种子颗粒物表面而造成的颗粒物增长起主导作用;而在低浓度种子气溶胶和相对高浓度异戊二烯条件下(对应于典型偏远地区大气条件),二次有机气溶胶粒谱分布出现双模式结构,分别对应于来自均相成核的新粒子生成和二次有机产物在种子颗粒物上的凝聚增长. 此外,还研究了有机种子颗粒物浓度对二次有机气溶胶形成的影响,评估了在不同种子浓度下二次有机气溶胶粒谱分布的演化和相应新粒子的形成速率.     

Mie散射激光雷达研究大气边界层特性

基于Mie散射大气激光雷达,应用Klett算法对回波信号进行了反演,得到大气消光系数和后向散射系数。然后,通过对大气后向散射系数曲线进行拟合得到大气边界层混合层高度以及卷夹层厚度等特征参数。对比雷达实测数据与探空气球所测数据,证明二者存在较好相关性。基于实测数据讨论了四川盆地大气边界层特性对气候的影响。     

南京北郊气溶胶质量浓度空间垂直分布反演

使用拉曼 米激光雷达在南京北郊进行常规性检测,通过分析激光雷达回波信号,借助气溶胶质量浓度的线性模型和指数模型进行气溶胶质量浓度空间垂直分布反演。为提高反演的精确度,对米散射信号进行近场修正,消除重叠因子的影响,拉曼散射信号进行小波分析等去噪方法处理。处理过的米散射信号用来反演0~3 km大气的气溶胶质量浓度,拉曼散射信号用来反演3 km~10 km大气的气溶胶质量浓度,然后通过2个信号拼接反演中低层气溶胶质量浓度。实验结果:2种模型反演的气溶胶质量浓度在不同时刻的相关性系数为0.991和0.973 6,具有一定的可信度。     

Application of mobile vehicle lidar for urban air pollution monitoring

A mobile vehicle lidar system has been developed and applied to detect urban air quality. On September 21 and22, 2015, particulate matter observation with mobile vehicle lidar was carried out in the Binhai New Area of Tianjin. Combined with the latitude and longitude information acquired by a GPS, the three-dimensional distribution of the aerosol extinction coefficient was presented in the experimental area. Furthermore, the source,distribution, and the transportation path of the aerosols in the area were investigated based on lidar data, local meteorological data, and backward trajectory analysis. The results show that mobile vehicle lidar can detect the atmospheric aerosols and reflect the stereoscopic distribution properties of aerosols. The potential of this vehicle lidar system provides a new scientific basis for the study of the source, distribution, and transportation of atmospheric particles.