• Raymetrics 气溶胶激光雷达 ESS-D200 三维扫描气溶胶激光雷达

    详细信息

     品牌:Raymetrics  型号:ESS-D200  加工定制:是  
     测量范围:15Km  外形尺寸:1.8 m x 1.0 m x 1.0 m mm 测量对象:环境气溶胶  
     重量:220 ㎏   
    3D Aerosol LIDAR
    三维气溶胶激光雷达
    (型号:ESS-D200)


    1、设备简介
           希腊Raymetrics气溶胶激光雷达系统采用世界*先进的激光雷达制造工艺,利用不同波段激光信号探测大气气溶胶、水汽等垂直阔线,可以实时探测能见度和云底高度等,结合3D扫描技术,可以探测污染物的浓度分布及来源。探测包括气溶胶、能见度、水汽、火山灰、烟雾、污染来源、云底高度、边界层高度、光学厚度、消光系数、后向散射系数、色比等。
           其客户遍布美国、中国、印度、欧洲、南亚、非洲和南美等地区,应用单位包括中国科学院、美国气象局、英国气象局、韩国气象局、空管局、欧空局、德国宇航中心、北京大学、南京大学等,应用领域包括气象、环境、航空、军事等科研和应用等。

     
           希腊Raymetrics可以根据用户实际需要进行量身定制,例如,ESS-D200型激光雷达用于探测雾、能见度及污染物来源等;ESS-D300型激光雷达则用于探测火山灰、气溶胶及边界层高度等;ESS-D400型激光雷达则用于探测水汽浓度垂直阔线等。在这些应用中,可以根据探测的范围和内容,定制激光器的功率、激光波长、交叉极化波长、拉曼、镜头尺寸等,扫描模式也可以选择垂直观测或三维扫描等方式。


           产品通过ISO 9001:2008体系认证,性能及指标满足欧洲气溶胶研究激光雷达观测网(EARLINET)需求,自2012年以来参与了全球上百个大型科学研究计划,在大气科学、天气预报、环境治理、航空气象、空间科学等领域发挥了卓越贡献。

           ESS-D200型三维扫描气溶胶激光雷达,拥有大功率激光器、大口径望远镜及全3D扫描方式,可以为航空环境预报及预警提供重要的气象参数,探测要素包括:能见度、雾、污染物来源及云底高度等,是市场上*优秀的气溶胶雷达系统。


    2、ESS-D200雷达主要功能
    1)能见度监测:
           该雷达系统可以提供斜视能见度(SVR),与跑道能见度(RVR)相比,斜视能见度更能真实的反映飞行员的视觉感受。





















    2)云底高度监测:
    该雷达系统可以提供三维空间云底高度,可以更真实的反映整个机场上空云的三维分布,而普通的云高仪采样空间仅为其头顶上方狭小的区域。

     
    3)雾霾监测:
    该雷达系统可以监测平流雾的分布、动向及来源,可以为航空预警提供预报服务。

     
    4)气溶胶类型甄别:
          该雷达系统可以区分火山灰气溶胶、天然灰尘、烟雾、海洋气溶胶、冰云、水云等成分,为航空环境预警提供有力技术保障。


     
    3、ESS-D200雷达输出产品
    气溶胶、气溶胶类型、能见度、云底高度、边界层高度、光学厚度、消光系数、后向散射系数、色比等。3D扫描方式,探测距离10-15km,可以为航空环境预报及预警提供重要的气象参数。

    4、ESS-D200雷达主要特点
    1)激光能量:在355nm单脉冲能量可达~30mJ;
    2)200mm大口径望远镜,有效提升信号效率;
    3)优秀的信噪比,探测距离可达10~15km;
    4)系统可以全自动远程控制;
    5)系统包含标准软件包:雷达控制、数据分析和实时显示及存储。
    6)符合欧盟标准人眼安全等级60825-1:2007;
    7)兼容欧洲气溶胶研究激光雷达观测网(EARLINET)要求;
    8)品质保证:ISO9001:2008管理体系认证;
    9)应用领域:气象、环境、航空、军事、科学研究等。
     
     
    4技术指标:
    扫描范围:10-15km
    标准检测波长:355 nm co-polar
    可拓展监测波段:355 nm cross-polar
                                  387 nm nitrogen Raman
    分辨率:7.5m
    采样时间分辨率:1秒或者10秒等多种采样方式
    FWHM 带宽近似:~0.5 nm per wavelength
    激光能量:30MJ/每脉冲@355nm
    重复率:20Hz
    光束扩展:X10
    检测模式:近场和远场测量的模拟和光子计数
    3D扫描范围:方位角0~357°;天顶角0~90°
    内部PC:工业级PC运行窗口
    气候控制:激光雷达头和控制单元的加热和空调单元
    软件功能:仪表控制、测量调度、系统对齐和设置程序、数据采集、数据存储(数据库)、数据分析、数据可视化
    尺寸(主镜):200毫米
    视场(FOV):0.25至3 MRAD(用户可调)
    重叠:<200 m(带工厂设置FOV)
    电源:110 - 240 V, 50 - 60 Hz    
    功耗:25 Amps.
    尺寸:约1.8 m×1 m×1 m(HXWXD)
    重量:约220公斤
    自动化:自动化提供远程可操作的测量调度
    保修:1年为标准
    技术配件和维护:3天现场安装培训课程标准
     


    5、ESS-D200应用案例
    [1] de Miranda, R.M., et al. (2017): The relationship between aerosol particles chemical composition and optical properties to identify the biomass burning contribution to fine particles concentration: a case study for São Paulo city, Brazil, Environ Monit Assess, 189: 6. https://doi.org/10.1007/s10661-016-5659-7
     
    [2] Gouveia, D. A., et al. (2017): Optical and geometrical properties of cirrus clouds in Amazonia derived from 1 year of ground-based lidar measurements, Atmos. Chem. Phys., 17, 3619-3636, https://doi.org/10.5194/acp-17-3619-2017
     
    [3] Dorman C.E. (2017): Early and Recent Observational Techniques for Fog. In: Koračin D., Dorman C. (eds) Marine Fog: Challenges and Advancements in Observations, Modeling, and Forecasting. Springer Atmospheric Sciences. Springer, Cham
     
    [4] Chilinski, M.T., et al. (2016): Modelling and Observation of Mineral Dust Optical Properties over Central Europe, Acta Geophys. 64: 2550. https://doi.org/10.1515/acgeo-2016-0069
     
    [5] Guerrero-Rascado, J. L., and Coauthors (2016): Latin American Lidar Network (LALINET) for aerosol research diagnosis on network instrumentation. J. Atmos. Sol.-Terr. Phys., 138–139, 112–120, doi:https://doi.org/10.1016/j.jastp.2016.01.001.
     
    [6] George Georgoussis et al. (2016): Signal to Noise Ratio Estimations for a Volcanic Ash Detection Lidar. Case Study: the Met Office, EPJ Web of Conferences 119, 07002, DOI: 10.1051/epjconf/201611907002
     
    [7] F. Tan et al. (2015): Monsoonal variations in aerosol optical properties and estimation of aerosol optical depth using ground-based meteorological and air quality data in Peninsular Malaysia, Atmos. Chem. Phys., 15, 3755–3771, 2015, doi:10.5194/acp-15-3755-2015
     
    [8] Mbengue, S., Alleman, L.Y. & Flament, P. (2015): Bioaccessibility of trace elements in fine and ultrafine atmospheric particles in an industrial environment, Environ Geochem Health, 37: 875. https://doi.org/10.1007/s10653-015-9756-2
     
    [9] Rose, C., et al. (2015): Major contribution of neutral clusters to new particle formation at the interface between the boundary layer and the free troposphere, Atmos. Chem. Phys., 15, 3413-3428, https://doi.org/10.5194/acp-15-3413-2015
     
    [10] Barbosa, H. M. J., et al (2014): A permanent Raman lidar station in the Amazon: Description, characterization and first results. Atmos. Meas. Tech., 7, 1745–1762, doi:https://doi.org/10.5194/amt-7-1745-2014.
     
    [11] Granados-Muñoz, M. J., et al. (2014): Retrieving aerosol microphysical properties by Lidar-Radiometer Inversion Code (LIRIC) for different aerosol types, J. Geophys. Res. Atmos., 119, 4836–4858, doi:10.1002/2013JD021116.
     
    [12] Papayannis A. et al. (2014): Optical, size and mass properties of mixed type aerosols in Greece and Romania as observed by synergy of lidar and sunphotometers in combination with model simulations: A case study, Science of the Total Environment, 500-501 (2014) 277-294,
     
    [13] Zawadzka, O., Makuch, P., Markowicz, K.M. et al. (2014): Studies of aerosol optical depth with the use of Microtops II sun photometers and MODIS detectors in coastal areas of the Baltic Sea, Acta Geophys. 62: 400. https://doi.org/10.2478/s11600-013-0182-5
     
    [14] Navas-Guzmán, F.,  D. et al. (2013): Eruption of the Eyjafjallajökull Volcano in spring 2010: Multiwavelength Raman lidar measurements of sulphate particles in the lower troposphere, J. Geophys. Res. Atmos., 118, 1804–1813, doi:10.1002/jgrd.50116.
     
    [15] Estellés, V., et al. (2012): Study of the correlation between columnar aerosol burden, suspended matter at ground and chemical components in a background European environment, J. Geophys. Res., 117, D04201, doi:10.1029/2011JD016356.
     
    [16] Granados-Muñoz, M. J., et al. (2012): Automatic determination of the planetary boundary layer height using lidar: One-year analysis over southeastern Spain, J. Geophys. Res., 117, D18208, doi:10.1029/2012JD017524.
     
    [17] Hervo, M., et al.(2012), and Sellegri, K.: Physical and optical properties of 2010 Eyjafjallajökull volcanic eruption aerosol: ground-based, Lidar and airborne measurements in France, Atmos. Chem. Phys., 12, 1721-1736, https://doi.org/10.5194/acp-12-1721-2012
     
    [18] Pérez-Ramírez, D., et al. (2012): Retrievals of precipitable water vapor using star photometry: Assessment with Raman lidar and link to sun photometry, J. Geophys. Res., 117, D05202, doi:10.1029/2011JD016450.
     
    [19] Zieliński, T., Petelski, T., Makuch, P. et al. (2012): Studies of aerosols advected to coastal areas with the use of remote technique, Acta Geophys. 60: 1359. https://doi.org/10.2478/s11600-011-0075-4
     
    [20] Boulon, J., et al. (2011): Investigation of nucleation events vertical extent: a long term study at two different altitude sites, Atmos. Chem. Phys., 11, 5625-5639, https://doi.org/10.5194/acp-11-5625-2011, 2011.
     
    [21] Córdoba-Jabonero, C., et al. (2011): Synergetic monitoring of Saharan dust plumes and potential impact on surface: a case study of dust transport from Canary Islands to Iberian Peninsula, Atmos. Chem. Phys., 11, 3067-3091, https://doi.org/10.5194/acp-11-3067-2011
     
    [22] Guerrero-Rascado, J. L., et al. (2011): Aerosol closure study by lidar, Sun photometry, and airborne optical counters during DAMOCLES field campaign at El Arenosillo sounding station, Spain, J. Geophys. Res., 116, D02209, doi:10.1029/2010JD014510.
     
    [23] Themistocleous K. et al. (2010): Monitoring Air Pollution in the Vicinity of Cultural Heritage Sites in Cyprus Using Remote Sensing Techniques. In: Ioannides M., Fellner D., Georgopoulos A., Hadjimitsis D.G. (eds) Digital Heritage. EuroMed 2010. Lecture Notes in Computer Science, vol 6436. Springer, Berlin, Heidelberg
     
    [24] George Georgoussis et al. (2009): Continuous measurements of PM at ground level over an industrial area of Evia (Greece) using synergy of a scanning Lidar system and in situ sensors during TAMEX campaign, EMS Annual Meeting Abstracts, Vol. 6, EMS2009-309-5, 2009, 9th EMS / 9th ECAM
     
    [25] Guerrero-Rascado, J. L., et al. (2009): Extreme Saharan dust event over the southern Iberian Peninsula in september 2007: active and passive remote sensing from surface and satellite, Atmos. Chem. Phys., 9, 8453-8469, https://doi.org/10.5194/acp-9-8453-2009
     
    [26] Kazadzis, S., et al. (2009): Spatial and temporal UV irradiance and aerosol variability within the area of an OMI satellite pixel, Atmos. Chem. Phys., 9, 4593-4601, https://doi.org/10.5194/acp-9-4593-2009
     
    [27] Amiridis, V., et al. (2007): Aerosol Lidar observations and model calculations of the Planetary Boundary Layer evolution over Greece, during the March 2006 Total Solar Eclipse, Atmos. Chem. Phys., 7, 6181-6189, https://doi.org/10.5194/acp-7-6181-2007
     
    [28] Papayannis, A., et al. (2007): Extraordinary dust event over Beijing, China, during April 2006: Lidar, Sun photometric, satellite observations and model validation, Geophys. Res. Lett., 34, L07806, doi:10.1029/2006GL029125.
     
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