气溶胶光学特性对宽谱差分吸收激光雷达NO2质量浓度反演结果的影响

针对宽谱连续波差分吸收激光雷达(DIAL)的特点,通过仿真不同大气条件下的激光雷达信号,计算分析宽谱DIAL气溶胶消光和后向散射效应引起的二氧化氮(NO₂)质量浓度反演误差。研究结果表明：当大气气溶胶均匀分布时,NO₂质量浓度反演误差主要取决于气溶胶消光效应,而后向散射效应引起的NO₂质量浓度反演误差一般可忽略不计;当大气气溶胶非均匀分布时,气溶胶后向散射效应引起的NO₂质量浓度反演误差依赖于气溶胶非均匀分布程度,且与波长指数成反比。此外,适当增大分段拟合距离可有效降低气溶胶后向散射效应引起的NO₂质量浓度反演误差。利用光谱近似得到宽谱NO₂-DIAL气溶胶消光和后向散射效应引起的NO₂质量浓度反演误差的近似模型,通过对比模拟计算的结果,验证了近似模型评估NO₂质量浓度反演误差的可行性。     

纯转动拉曼法确定激光雷达几何因子

提出了一种确定激光雷达几何重叠因子的新方法。研究了大气分子纯转动拉曼谱线强度分布特征。利用大气分子总的纯转动拉曼激光雷达信号结合瑞利-米氏散射激光雷达信号能精确反演激光雷达几何因子。这种方法消除了振动拉曼方法中气溶胶波长指数影响以及水平测量法气溶胶非均匀性的限制。数值模拟结果表明:在大气温度三种分布模型和气溶胶波长指数三种分布模型下几何因子反演的最大相对误差小于0.5%。根据实际激光雷达信号反演得到了系统的几何因子。     

振动拉曼散射信号反演激光雷达几何因子分析

利用研制的探测大气二氧化碳廓线的振动拉曼激光雷达系统采集的氮气分子振动拉曼散射信号,结合激光雷达探测时的大气消光数据,反演求出激光雷达的几何因子曲线。并对气溶胶波长指数变化对振动拉曼信号反演几何因子造成的影响进行分析与估算。气溶胶消光波长指数变化对振动拉曼散射信号反演几何因子会带来较大的误差影响。当气溶胶消光波长指数或其谱分布确定时,振动拉曼散射信号反演几何因子具有简便、可靠等优点,在振动拉曼激光雷达系统几何因子确定中可以充分应用此方法。     

水汽探测拉曼激光雷达的新型光谱分光系统设计与分析

提出并设计了一套新型的大气水汽和气溶胶探测用紫外域拉曼激光雷达系统, 以二向色镜和超窄带滤光片构成高效率拉曼光谱分光系统, 实现激光雷达大气回波信号中米-瑞利散射信号、 氮气和水汽的振动拉曼散射信号的精细分离和高效率提取. 利用美国标准大气的分子散射模型和实测的大气米散射信号模型, 对分光系统的米-瑞利散射信号的抑制率、大气水汽测量的信噪比和误差进行数值仿真设计. 搭建实验系统对西安地区夜间的大气水汽进行实验观测, 并利用有云天气下实测的激光雷达回波信号, 反演获得大气后向散射比和水汽混合比的相关特性, 验证了该拉曼光谱分光系统对米-瑞利信号的抑制率达到10^-7以上量级. 理论和实验结果表明, 设计的新型拉曼光谱分光系统可以在大气后向散射比为17时, 实现水汽探测误差小于15%, 满足拉曼激光雷达系统对大气水汽的高效率探测. 关键词： 拉曼激光雷达 水汽混合比 大气后向散射比     

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。     

Raman-Mie方法反演气溶胶后向散射系数

传统的Klett和Fernald反演气溶胶法依赖于消光系数和后向散射系数的假设关系,给反演结果带来误差。根据纯转动拉曼后向散射系数仅是大气温度和压强的函数,设计的Raman-Mie方法用米散射和纯转动拉曼回波信号结合探空温度和大气压强共同反演气溶胶后向散射系数。不仅消除了Klett和Fernald方法引入假设带来的误差,还可避免因几何因子修正带来的影响。最后将该方法用于实验室自行研制的拉曼-米散射激光雷达,反演出了大气气溶胶后向散射系数廓线,实验结果与Klett(Fernald)方法分别进行了比较。     

基于火星巡视器车载激光诱导击穿光谱仪系统设计米散射激光雷达可行性研究

火星大气气溶胶的地基探测对研究火星大气环境具有重要意义,为了能够在节约火星巡视器/着陆器体积、重量的条件下进行气溶胶探测,论证了基于巡视器车载激光诱导击穿光谱仪系统设计米散射激光雷达方案的可行性。所设计的米散射激光雷达系统使用巡视器车载激光诱导击穿光谱仪的既有硬件资源,加入分光元件和探测器模块,构成与激光诱导击穿光谱仪系统集成的米散射激光雷达,米散射激光雷达与激光诱导击穿光谱仪在火星地表分时工作,互不影响。为了论证所设计的米散射激光雷达的探测性能,对Phoenix火星探测任务中独立的米散射激光雷达得到的一组原始回波信号数据进行了处理,反演得到一组典型火星大气消光系数廓线,结合消光系数廓线与系统硬件参数计算了所设计的米散射激光雷达的回波信噪比,结果表明该系统在所用原始数据被记录的当日在火星大气边界层顶4 km高度处信噪比达到26 dB,在10 km高度附近下降到0 dB,说明基于火星巡视器车载激光诱导击穿光谱仪系统设计米散射激光雷达进行气溶胶探测具有现实可行性。对比Phoenix的独立米散射激光雷达设计方案,基于激光诱导击穿光谱仪的米散射激光雷达不但能够节省巡视器体积、重量,而且发射能量更高,回波接收方案更为简单,数据反演步骤更为简洁。     

基于气溶胶光学参数的拉曼激光雷达重叠因子校正方法

提出了一种稳定的拉曼激光雷达重叠因子计算和校正算法,适用于含有拉曼散射通道的激光雷达系统的重叠因子校正。此算法基于大气气溶胶光学参数的拉曼反演算法,通过分析消光系数和后向散射系数的反演特点,发现后向散射系数在过渡区中不受重叠因子的影响。用后向散射系数和激光雷达比的乘积对消光系数缺失信号进行初步校正,进而正演出初步校正后的拉曼散射回波信号,将实际拉曼散射回波信号与正演的拉曼散射回波信号相除即可得到重叠因子廓线。对回波信号和气溶胶光学参数进行了过渡区信号校正和盲区信号补充。分别用单组和连续的激光雷达实验观测数据进行了重叠因子的计算和校正,并与能见度仪观测的近地面数据进行了对比,呈现良好的一致性。结果表明,此算法对重叠因子计算较为稳定。     

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。     

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.     

Ultraviolet Raman lidar for high-accuracy profiling of aerosol extinction coefficient

An ultraviolet （UV） Raman lidar system at 354.7 nm has been developed for accurately measuring the aerosol extinction profiles. A spectroscopic filter combining a high-spectral-resolution grating with two narrowband mirrors is used to separate the vibrational Raman scattering signal of N2 at a central wavelength of 386.7 nm and the elastic scattering signal at 354.7 nm. The aerosol extinction is derived from the Raman scattering of N2 and the elastic scattering by the use of Raman method and Klett method, respectively. The derived results of aerosol extinction are used to compare the difference of two retrieval methods, and the preliminary experiment shows that the Raman lidar system operated in analog detection mode has the capability of measuring aerosol profiles up to a height of 3 km with a laser energy of 250 mJ and an integration time of 8 min.     

紫外域多纵模高光谱分辨率激光雷达探测气溶胶的技术实现和系统仿真

多纵模高光谱分辨率激光雷达是一种新型的高光谱分辨率激光雷达.本文在研究典型高功率Nd:YAG脉冲激光器的多纵模模式及其在大气中传输的气溶胶米散射和瑞利散射光谱的基础上,设计紫外域多纵模高光谱分辨率激光雷达系统,采用窄带干涉滤光片滤除太阳背景光的影响,设计可调谐马赫-曾德尔干涉仪,分离提取多纵模激光回波中的气溶胶米散射和瑞利散射光谱,并利用马赫-曾德尔干涉仪双通道输出的互补性原理,精确反演气溶胶光学参量.系统仿真结果表明,所设计的紫外域多纵模高光谱分辨率激光雷达能够实现10 km高度内的气溶胶光学参量精细探测.     

Measurements for profiles of aerosol extinction coefficient,backscatter coefficient,and lidar ratio over Wuhan in China with Raman/Mie lidar

<正>The profiles of aerosol extinction,backscatter coefficient,and lidar ratio in the lower troposphere over Wuhan are measured by a multi-channel Raman/Mie lidar.Using the lidar ratio retrieved by Raman scattering principle,the profiles of aerosol extinction and backscatter coefficients are also retrieved by Mie scattering signals,without a prior assumption about their relation in the traditional pure Mie signals data analyses.The observations by both Raman and Mie are in good agreement with each other.The high coherence shows that the system is reliable,and the Mie and Raman channels are in good adjustment and have the same field of view.     

紫外域激光雷达探测西安城区上空大气气溶胶时空剖面

开发了一套紫外域波长的米散射激光雷达系统,探测西安城区上空大气气溶胶污染物质的光学特性及时空变化.系统选用对人眼较为安全的355 nm波长激光作光源,采用高光谱分辨率光栅,并借助光阑,将接收到的主要大气回波信号谱线（米散射和瑞利散射光谱与白天太阳背景光）从空间分离,剔除大部分太阳背景噪音,提高系统的白天探测能力.通过对西安城区上空的气溶胶时空变化特性进行24 h连续观测,采用Klett方法反演得到气溶胶消光系数,首次测得西安城区不同时刻消光系数的高度分布剖面图以及24 h内气溶胶相对质量密度的时空变化特性.     

Measurement of tropospheric CO2 and aerosol extinction profiles with Raman lidar

A prototype Raman lidar was designed for monitoring tropospheric CO2 profile and other scientific investigatious.The third harmonic of Nd:YAG laser (354.7-nm wavelength) was used as stimulated light source to provide nighttime measurements.Filter with high rejection ratio performance was used to extract CO2 Raman signals from Rayleigh-Mie scattering signals effectively.To improve the real time monitoring function,a two-channel signal collection system was designed to collect CO2 and N2 Raman scattering signals simultaneously. The N2 Raman scattering signals were used to retrieve aerosol extinction coefficient.Typical features of CO2 concentration profile and aerosol extinction coefficient in Herei were presented.The mixing ratio of atmospheric CO2 in Hefei can reach about 360-400 ppmv.     

Capability of Raman lidar for monitoring the variation of atmospheric CO2 profile

Lidar (Light detection and ranging) has special capabilities for remote sensing of many different behaviours of the atmosphere. One of the techniques which show a great deal of promise for several applications is Raman scattering. The detecting capability, including maximum operation range and minimum detectable gas concentration is one of the most significant parameters for lidar remote sensing of pollutants. In this paper, based on the new method for evaluating the capabilities of a Raman lidar system, we present an evaluation of detecting capability of Raman lidar for monitoring atmospheric CO$_{2}$ in Hefei. Numerical simulations about the influence of atmospheric conditions on lidar detecting capability were carried out, and a conclusion can be drawn that the maximum difference of the operation ranges caused by the weather conditions alone can reach about 0.4 to 0.5km with a measuring precision within 30ppmv. The range of minimum detectable concentration caused by the weather conditions alone can reach about 20 to 35 ppmv in vertical direction for 20000 shots at a distance of 1 km on the assumption that other parameters are kept constant. The other corresponding parameters under different conditions are also given. The capability of Raman lidar operated in vertical direction was found to be superior to that operated in horizontal direction. During practical measurement with the Raman lidar whose hardware components were fixed, aerosol scattering extinction effect would be a significant factor that influenced the capability of Raman lidar. This work may be a valuable reference for lidar system designing, measurement accuracy improving and data processing.     

基于双视场激光雷达的气溶胶水平分布观测

在自主研制的便携式双视场米散射气溶胶激光雷达（DFOV激光雷达）基础上,探索双视场激光雷达信号拼接思路,利用“斜率-Fernald”方法反演了气溶胶水平消光系数,进而获取了DFOV激光雷达对气溶胶水平消光系数的扫描分布。首先,对雷达回波信号分段运用斜率法,求解最优的气溶胶消光系数、后向散射系数以及相对应的参考距离,然后将该参考点处的后向散射系数代入“Fernald方法”的前后向积分解中,进而得到整条廓线的消光系数。该方法有效避免了“斜率法”中大气均匀的前提假设和消光系数负值的问题,也有效避免了“Fernald方法”对参考点的限制和要求。在获取水平消光系数后,通过拟合近地面空气质量监测点位过顶时刻DFOV激光雷达测量的气溶胶消光系数与PM₁₀质量浓度ρ(PM₁₀)之间的关系,相关性达到0.91。将此定量关系传递至激光雷达扫描的消光系数结果中,可得到气溶胶质量浓度的水平分布,定量反演大气中颗粒物的分布,用于研究近地面大气污染成因、机理和污染来源分析,为DFOV激光雷达进一步应用于城市区域大气污染定量评价和区域空气质量三维模式同化分析研究提供定量的数据支撑。     

Mie-Rayleigh Doppler Wind Lidar with Two Double-edge Interferometers

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Mass concentration calculation with the pulse height distribution of aerosols and system calibration

The pulse height distribution of aerosols, which was measured by an optical particle counter, was applied to inverse aerosol mass concentration. Using the conceptions of equivalent diameters, the feasibility that the pulse height distribution was used to inverse mass concentration was verified theoretically, and then the definition of average mass was introduced. According to the Mie scattering theory, considering particle shape and non-uniformity of intensity distribution in the optical sensing volume, a novel algorithm for mass concentration was proposed based on the theoretical analysis. In this algorithm, we only need to calibrate two coefficients. The Gauss-Newton and the two-step calibration methods were presented. The former method revealed that calibration coefficients calculated with nonlinear regression are related to the range of mass concentration, leading to the instability of the calibration coefficients. Furthermore, though detailed analysis of the problem, the latter method was put forward. The experimental results indicate mass concentrations inversed by the algorithm have high precision.