Mach-Zehnder干涉仪条纹成像多普勒激光雷达风速反演及视场展宽技术

相对于传统多普勒鉴频器Fabry-Perot干涉仪, Mach-Zehnder干涉仪(MZI)具有透过率高、直线条纹易于探测、可进行视场展宽等优点. 本文设计了基于条纹成像MZI的非相干多普勒测风激光雷达系统, 构建了风速反演的数学模型, 利用MZI视场展宽技术优化了激光雷达系统的性能. 数值仿真实现了MZI鉴频系统干涉条纹图样的理想输出, 采用SineSqr函数拟合法获取了高精度的多普勒频移前后干涉条纹的移动距离, 并通过视场补偿减小了入射角对MZI光程差的影响, 从而实现视场展宽. 结果表明: 采用SineSqr函数拟合法可获得在±100 m·s^-1的径向风速范围内<0.45 m·s^-1的风速误差, 克服了条纹重心法反演风速不稳定性的缺点; 视场展宽技术在不降低鉴频性能的情况下, 能最大补偿1°的视场角. MZI条纹成像多普勒激光雷达应用技术的探讨将为中高层大气风速激光雷达测量系统的实际开发奠定良好的基础. 关键词： 激光雷达 条纹成像Mach-Zehnder干涉仪 风速反演 视场补偿     

Modeling of helicopter-borne tunable TEA CO2 DIAL system employment for detection of methane and ammonia leakages

The characteristics of a helicopter-borne lidar based on tunable TEA CO₂ laser and its third harmonic designed for remote detection of methane and ammonia leakages from pipelines are analyzed numerically. The spectral range near 3 μm was shown to be most promising for remote sensing of methane emissions. Parameters of radiation of the tunable pulse-periodic mini-TEA CO₂ laser and generators of harmonics to be utilized in the helicopter-borne differential absorption lidar are estimated. Emissions of different gas intensities are analyzed for possible detectability at a distance of up to 1 km. The use of the third harmonic of the TEA CO₂ laser allows methane emissions from a pipeline to be detected and measured with mean measurement error from 10% to 15% for methane concentrations varying from the background level to the explosion-hazardous one. The optimal pair and possibilities of the ammonia remote sensing on the base of the first harmonic of TEA CO₂ laser were determined as well.     

SO2气体排放的紫外成像遥感监测

工业烟囱及船舶尾气中SO2气体排放是造成大气污染的重要因素。SO2容易被氧化生成硫酸雾或硫酸盐气溶胶,产生酸雨,严重危害大气生态环境平衡及人类健康。现有的SO2光学遥感测量技术,如拉曼散射激光雷达、差分吸收激光雷达(DIAL)、傅里叶变换红外吸收光谱(FTIR)、紫外差分吸收光谱(DOAS)、高分辨光谱成像等,难以兼顾气体污染监测对高时间分辨率、高空间分辨率以及便携机动等应用需求。近年来,紫外SO2相机成像探测因探测精度高、实用性强得到迅速发展,该技术时间分辨率高、空间分辨力强,能从解析图像中直观在线获取污染气体浓度在空间的二维分布及随时间的排放率,对于监测环境污染有重要作用。基于紫外SO2相机成像探测技术,围绕SO2柱浓度探测的测量原理及影响因素、仪器设计及实验方法、反演算法及结果比对等方面开展研究。取得的成果主要有:(1)利用窄带滤光片的窄波窗口,用紫外相机测量310 nm附近的SO2紫外吸收,建立了紫外成像遥感监测理论模型,介绍了紫外成像遥感检测获取SO2浓度图像的测量原理;(2)将滤光片放置镜头前后,讨论了不同入射角对滤光片中心波长及透过率曲线的影响,发现滤光片放置镜头后,相机系统对SO2的灵敏度受入射角影响更小,对SO2浓度图像的反演误差更小;(3)分析了太阳高度角对SO2浓度图像反演的影响,阐明了SO2浓度反演曲线实时校准的不可或缺性;(4)通过理论分析设计出了紫外成像遥感探测装置,开展了基于紫外成像遥感监测SO2气体排放的实验研究,通过2-IM法拟合出了人工天空背景,获得了SO2光学厚度图像,利用标准泡进行校准,反演出了SO2浓度图像;(5)采用DOAS技术对SO2气体排放进行监测,与紫外成像遥感获得的SO2浓度进行对比表明,两方法实验结果所计算得到的浓度信息趋势相一致,从而证明紫外成像遥感监测技术测量结果的准确性,同时展现了该技术在工厂烟囱及船舶尾气污染排放遥感监测中的巨大应用前景。     

Development of an OPO system at 1.57 μm for integrated path DIAL measurement of atmospheric carbon dioxide

Active remote sensing is a promising technique to close the gaps that exist in global measurement of atmospheric carbon dioxide sources, sinks and fluxes. Several approaches are currently under development. Here, an experimental setup of an integrated path differential absorption lidar (IPDA) is presented, operating at 1.57 μm using direct detection. An injection seeded KTP-OPO system pumped by a Nd:YAG laser serves as the transmitter. The seed laser is actively stabilized by means of a CO₂ reference cell. The line-narrowed OPO radiation yields a high spectral purity, which is measured by means of a long path absorption cell. First measurements of diurnal variations of the atmospheric CO₂ mixing ratio using a topographic target were performed and show good agreement compared to simultaneously taken measurements of an in situ device. A further result is that the required power reference measurement of each laser pulse in combination with the spatial beam quality is a critical point of this method. The system described can serve as a testbed for further investigations of special features of the IPDA technique. PACS  42.65.Yj; 42.68.Wt; 92.60.hg     

Retrieval algorithm of quantitative analysis of passive Fourier transform infrared （FTRD） remote sensing measurements of chemical gas cloud from measuring the transmissivity by passive remote Fourier transform infrared

Passive Fourier transform infrared （FTIR） remote sensing measurement of chemical gas cloud is a vital technology. It takes an important part in many fields for the detection of released gases. The principle of concentration measurement is based on the Beer-Lambert law. Unlike the active measurement, for the passive remote sensing, in most cases, the difference between the temperature of the gas cloud and the brightness temperature of the background is usually a few kelvins. The gas cloud emission is almost equal to the background emission, thereby the emission of the gas cloud cannot be ignored. The concentration retrieval algorithm is quite different from the active measurement. In this paper, the concentration retrieval algorithm for the passive FTIR remote measurement of gas cloud is presented in detail, which involves radiative transfer model, radiometric calibration, absorption coefficient calculation, et al. The background spectrum has a broad feature, which is a slowly varying function of frequency. In this paper, the background spectrum is fitted with a polynomial by using the Levenberg-Marquardt method which is a kind of nonlinear least squares fitting algorithm. No background spectra are required. Thus, this method allows mobile, real-time and fast measurements of gas clouds.     

相干多普勒测风激光雷达

 鉴于多普勒测风激光雷达在航空航天、遥感遥测、气象观测等军事及民用领域中的广泛应用,结合相干探测工作原理,介绍了国外几种典型波段相干多普勒测风激光雷达系统,重点分析了激光发射机/接收机、空间扫描、数据处理等关键技术,并对相干多普勒激光雷达的广阔应用前景进行了展望。指出国内相干多普勒测风激光雷达研究已取得的一些重要进展。     

MALT-CLS方法在大气痕量气体FTIR定量分析中的应用

对MALT-CLS方法在大气痕量气体FTIR定量分析中的应用进行了研究,介绍了一些定量分析的实验,如长光程怀特池、机载被动遥测。该方法的特点是其校准光谱是采用MALT程序通过计算HITRAN数据库中吸收线参数、环境参数和仪器参数而得到。它尤其适用于无法采用样品池来产生校准光谱的长光程开放光路和以太阳、天空、地物为背景的被动FTIR测量。     

The measurement of SO2 in power station plumes with differential lidar

The use of differential lidar for measuring SO₂ in plumes from fossil fuelled power stations is examined. The potential of the technique is investigated for the measurement of SO₂ close to power station stacks and in situations where the long range transport of emissions is important. Detection limits are discussed as a function of range and spatial resolution and it is shown theoretically that concentrations as low as 10 ppb at a range of 2 km should be measurable. Details of a prototype, computer controlled, differential lidar based on a tunable dye laser are given and its mode of operation described. Results from field experiments carried out at Drax power station in Yorkshire (UK) and Fawley Power Station in Hampshire (UK) are presented. For plumes of small diameter a deconvolution technique has been applied to obtain better spatial resolution of the plume structure.     

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.     

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 CO2 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.     

傅里叶变换红外光谱法被动遥测大气中VOC

采用傅里叶变换红外光谱法(FTIR)对大气中挥发性有机物(VOC)进行了被动遥测实验,提出了在复杂背景下定量遥测污染气体光谱的算法,讨论了被动FTIR的探测极限。这种测量技术和数据分析方法可在不预先测量背景光谱的情况下得到目标气体柱数密度和目标气体等效辐射温度。     

Analysis of systematic errors of lidar gas analysis in the atmosphere by the differential absorption lidar method

In the present work, systematic errors of lidar gas analysis in the atmosphere by the differential absorption lidar method in the near-and middle-IR ranges of the spectrum are analyzed. It is demonstrated that the systematic errors depend on many factors, including the meteorological parameters and concentrations of the examined gases along the sensing path, instability of the spectral parameters of laser radiation lines, shift of the absorption line centers caused by the air pressure, Doppler broadening of backscattered signals, and other sources of errors. Methods of error minimization in reconstructing lidar profiles of the examined atmospheric gas concentrations are suggested. __________ Translated from Izvestiya Vysshikh Uchebnykh Zavedenii, Fizika, No. 6, pp. 68–73, June, 2008.     

航空发动机尾气的FTIR被动遥感

针对航空发动机排放尾气传统的插入式采样分析技术难度大、设备结构复杂、测量成本高、具有一定危险等缺点,将快速、机动、低成本的非插入式测量方法——被动式傅里叶变换红外光谱(FTIR)遥感技术引入到航空发动机尾气监测当中。讨论了FTIR被动遥感的原理,介绍了FTIR光谱仪系统的仪器响应函数、红外辐射光谱能量分布以及气体浓度的算法模型。利用TENSOR27型FTIR光谱仪遥测某航空发动机排放尾气,获得一系列不同推力下红外发射单通道光谱图。通过对红外发射光谱的定性定量分析,计算出四种不同推力下CO₂,CO和NO的气体组分浓度。利用遥感FTIR方法监测航空发动机排放气体组分浓度的研究在国内航空领域尚处于探索阶段,试验中航空发动机的排放发射光谱及计算结果是首次公开发表。实验同时也表明该技术在航空发动机尾气监测方面具有极大的应用前景。     

双扫描激光雷达精细探测低层大气气溶胶方法

为实现水平非均匀分布的低层大气气溶胶光学特性的遥感探测,提出一种基于双扫描激光雷达的气溶胶精细探测方法.该方法以扫描激光雷达为遥感探测工具,通过双激光雷达相向交叉扫描工作模式,实现对同一空域近地表气溶胶全视野剖面的交叉探测,从而提供双激光雷达方程组以精确求解气溶胶消光和后向散射系数.在数据反演过程中,通过对交叉扫描区域进行坐标化和网格化处理、网格像素单元的初值预设,以及双扫描激光雷达方程组的数值逼近反演得到气溶胶消光.利用长距离扫描激光雷达的数据对该方法进行验证,结果表明,该方法与多角度方法反演所得到的结果随高度变化的趋势具有高度的一致性;同时双扫描激光雷达可提供交叉扫描区域剖面的气溶胶浓度分布,相比于单条廓线具有较大的优势.     

利用激光雷达测量都市上空气溶胶的浓度分布

测量都市上空气溶胶浓度分布的最方便方法是水平米散射激光雷达。因激光雷达是主动遥感监测系统,其测量距离可达到几公里,而且具有高时空分辨率的特点。同时,其设计也可以达到激光安全标准。本研究所用的激光雷达系统是安装在海拔118米高的山上。在观测时可以测量稠密市区上空的气溶胶分布与及监察从发电厂排放出的微粒。本文介绍这激光雷达系统的设计及激光雷达反演的方法。会对激光雷达量度的消光系数与大气监测的可悬浮粒子浓度之间的相关性进行考证。     

Polarized Lidar Reflectance Measurements of Vegetation at Near-Infrared and Green Wavelengths

There is growing interest in the use of lidar for remote sensing of vegetation owing to the emergence of reliable and rugged lasers and highly sensitive detectors. Lidar remote sensing has a distinct advantage over conventional techniques in vegetation remote sensing due to its capability for three-dimensional characterization of vegetative targets. The Multiwavelength Airborne Polarimetric Lidar (MAPL) system was developed primarily for vegetation remote sensing applications from an airborne platform of up to 1,000 -m altitude. The lidar system has full waveform capture and polarimetric measurement capability at two wavelengths in the near-infrared (1064 nm) and the green (532 nm) spectral regions. This study presents preliminary ground-based lidar reflectance measurements on a variety of deciduous and coniferous trees under fully foliated conditions with a view towards tree species discrimination. Variations in the reflectance characteristics of selected deciduous trees under unfoliated and fully foliated conditions were also investigated. Our study reveals distinct differences in the reflectance characteristics of various trees.     

基于Fizeau干涉仪的激光雷达测温方法研究

气温是描述大气状态的基本参数之一,温度的准确测量对天气预报、气候预测及其他气象参数的反演都至关重要。激光雷达作为一种遥感仪器,已经用于气象要素的探测中（风、温度、气溶胶的光学厚度等）。目前,测温激光雷达主要有拉曼激光雷达（振动和转动）、共振荧光激光雷达和Rayleigh散射激光雷达等,拉曼激光雷达需要大功率的激光器和复杂的背景滤波器;共振荧光激光雷达无法探测平流层内的温度;基于Rayleigh散射的测温激光雷达多应用于温度的相对测量,反演温度时需要建立响应函数和校准程序;基于固体腔扫描F-P干涉仪测量大气Rayleigh散射光谱来反演温度的方法,时间分辨率较低,并且该方法在测量过程中需要运动部件,所以不利于星载。在大气低层,分子的Rayleigh散射光谱会受到Brillouin散射的影响,两种散射信号叠加形成的Rayleigh-Brillouin散射光谱不再服从Gaussian分布,直接通过测量散射光谱的半高全宽来反演温度,会产生误差。基于回波能量的方法会受到气溶胶Mie散射信号的影响,所以在对流层中该方法并不适用。为了实现对流层内温度的高精度和高时间分辨率的测量,提出利用Fizeau干涉仪和PMT阵列对对流层内分子的Rayleigh-Brillouin散射光谱进行测量,并通过插值的方法来对回波信号中气溶胶Mie散射信号进行抑制,从而使Mie散射信号对温度反演的影响较小,最后将测量光谱和理论光谱进行全光谱匹配来实现温度的反演。除此之外,还对Fizeau干涉仪的自由光谱区、固体腔几何长度、腔体反射率、扫描间隔等参数进行了优化设计。为了验证本文提出方法的可行性,利用Matlab软件建立了一套仿真模型,通过模拟表明,在不考虑云、风和水汽含量的影响时,利用该方法测量对流层内的大气温度时,测量误差小于1 K。该测温方法可以对对流层内的大气温度廓线实现高精度、高时间分辨率的测量, 在测量过程中不需要使用运动部件,有较高的使用价值,并对同类高光谱激光雷达分光系统的研究具有借鉴意义, 为我国高光谱激光雷达陆基及星载应用提供了一套可行的技术方案和温度反演方法。     

Noise reduction in LOS wind velocity of Doppler lidar using discrete wavelet analysis

The line of sight (LOS) wind velocity can be determined from the incoherent Doppler lidar backscattering signals. Noise and interference in the measurement greatly degrade the inversion accuracy. In this paper, we apply the discrete wavelet denoising method by using biorthogonal wavelets and adopt a distance-dependent thresholds algorithm to improve the accuracy of wind velocity measurement by incoherent Doppler lidar. The noisy simulation data are processed and compared with the true LOS wind velocity. The results are compared by the evaluation of both the standard deviation and correlation coefficient. The results suggest that wavelet denoising with distance-dependent thresholds can considerably reduce the noise and interfering turbulence for wind lidar measurement.     

Ultraviolet Rayleigh Lidar for Wind and Temperature Measurements

A new method of simultaneous remote sensing of atmospheric wind and temperature by a ultraviolet Rayleigh lidar is described. This technique uses two narrowband filters located at either side of the wings of the Rayleigh backscatter spectrum to analyze Rayleigh backscattering signals. These filters are selected to be greatly sensitive to both velocity and temperature. By measuring the ratio and the sum of the two normalized filtered signals, the line-of-sight wind velocity and temperature profiles can be retrieved. A lidar system is proposed for the wind velocity and temperature measurements in the middle atmosphere, and the simulation results show that the accuracies of velocity and temperature are about 1 m/s and 2 K at the height of 30 km, respectively. The influence of aerosol component has been estimated for clear weather conditions, and with an uncertainty of aerosol component of 15% the errors are about 0.1 m/s and 2 K above the troposphere, respectively.     

Estimation of quartz concentration in the tropospheric mineral aerosols using combined Raman and high-spectral-resolution lidars

A remote sensing method is presented that enables the determination of quartz concentration in mineral aerosols from simultaneously measured, high-spectral-resolution lidar and quartz Raman lidar signals.