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Laser & Optoelectronics Progress, Volume. 56, Issue 13, 130101(2019)

Characteristics of Pollution Process in Northern Zhejiang Province Based on Lidar and Tower Wind Field Data

Bin Wu1, Yanfang Li1、**, Lulu Jiang2、*, Jingbo Hu1, Zhixu Zhou1, and Xiliang Zhang1
Author Affiliations
  • 1 Huzhou Meteorological Bureau, Huzhou, Zhejiang 313000, China
  • 2 Ningbo Meteorological Bureau, Ningbo, Zhejiang 315012, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (12)
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    References (19)
    Cited By (2)
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    Figures & Tables(12)
    Structure of lidar system

    Fig. 1. Structure of lidar system

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    Geometric overlap factor

    Fig. 2. Geometric overlap factor

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    Variation of particulate matter concentration as time for Ningbo from January 16 to 18, 2018

    Fig. 3. Variation of particulate matter concentration as time for Ningbo from January 16 to 18, 2018

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    Variation of PM2.5 mass concentration as time for Nanjing, Changzhou, Suzhou, Shaoxing, and Ningbo from January 16 to 18, 2018

    Fig. 4. Variation of PM2.5 mass concentration as time for Nanjing, Changzhou, Suzhou, Shaoxing, and Ningbo from January 16 to 18, 2018

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    532-nm range-square-corrected signal of lidar from January 16 to 18, 2018

    Fig. 5. 532-nm range-square-corrected signal of lidar from January 16 to 18, 2018

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    Depolarization ratio of pollutants from January 16 to 18, 2018

    Fig. 6. Depolarization ratio of pollutants from January 16 to 18, 2018

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    Wavelength dependence of pollutants from January 16 to 18, 2018

    Fig. 7. Wavelength dependence of pollutants from January 16 to 18, 2018

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    Comparison of optical properties of aerosols at different time of pollution process. (a) Backscattering coefficient; (b) depolarization ratio; (c) wavelength dependence

    Fig. 8. Comparison of optical properties of aerosols at different time of pollution process. (a) Backscattering coefficient; (b) depolarization ratio; (c) wavelength dependence

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    Vector diagram of wind field at different heights of tower

    Fig. 9. Vector diagram of wind field at different heights of tower

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    Wind-rose diagrams at different heights of tower. (a) 32 m; (b) 89 m; (c) 139 m; (d) 263 m; (e) 298 m

    Fig. 10. Wind-rose diagrams at different heights of tower. (a) 32 m; (b) 89 m; (c) 139 m; (d) 263 m; (e) 298 m

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    • Table 1. Key specifications of lidar system

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      Table 1. Key specifications of lidar system

      DeviceParameterSpecification
      TransmitterLaserNd∶YAG
      Wavelength /nm532, 355
      Pulse energy /mJ30
      Repetition frequency /Hz20
      Divergence /mrad0.2
      ReceiverTelescopeCassegrain
      Diameter /mm200
      DetectorPMT
      Range resolution /m7.5

    • Table 2. Observation indexes of meteorological elements for instruments on high tower

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      Table 2. Observation indexes of meteorological elements for instruments on high tower

      ElementObservation scopeResolutionAccuracyConsistency
      Wind speed /(m·s-1)0-600.1±0.3±0.1
      Wind direction /(°)0-3603±5±1
      Strong wind speed /(m·s-1)0-900.1±0.3
      Strong wind direction /(°)0-3603±0.3±0.1
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    Bin Wu, Yanfang Li, Lulu Jiang, Jingbo Hu, Zhixu Zhou, Xiliang Zhang. Characteristics of Pollution Process in Northern Zhejiang Province Based on Lidar and Tower Wind Field Data[J]. Laser & Optoelectronics Progress, 2019, 56(13): 130101

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    Paper Information

    Category: Atmospheric Optics and Oceanic Optics

    Received: Jan. 4, 2019

    Accepted: Jan. 29, 2019

    Published Online: Jul. 11, 2019

    The Author Email: Li Yanfang (251279388@qq.com), Jiang Lulu (jianglulu87@126.com)

    DOI:10.3788/LOP56.130101

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology