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Measurement and Study of Lidar Ratio by Using a Raman Lidar in Central China

Author

Listed:
  • Wei Wang

    (State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan 430079, China)

  • Wei Gong

    (State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan 430079, China
    Collaborative Innovation Center for Geospatial Technology, Wuhan 430079, China
    Hubei Collaborative Innovation Center for High-Efficiency Utilization of Solar Energy, Wuhan 430068, China)

  • Feiyue Mao

    (Collaborative Innovation Center for Geospatial Technology, Wuhan 430079, China
    Hubei Collaborative Innovation Center for High-Efficiency Utilization of Solar Energy, Wuhan 430068, China
    School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China)

  • Zengxin Pan

    (State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan 430079, China)

  • Boming Liu

    (State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan 430079, China)

Abstract

We comprehensively evaluated particle lidar ratios ( i.e. , particle extinction to backscatter ratio) at 532 nm over Wuhan in Central China by using a Raman lidar from July 2013 to May 2015. We utilized the Raman lidar data to obtain homogeneous aerosol lidar ratios near the surface through the Raman method during no-rain nights. The lidar ratios were approximately 57 ± 7 sr, 50 ± 5 sr, and 22 ± 4 sr under the three cases with obviously different pollution levels. The haze layer below 1.8 km has a large particle extinction coefficient (from 5.4e-4 m −1 to 1.6e-4 m −1 ) and particle backscatter coefficient (between 1.1e-05 m −1 sr −1 and 1.7e-06 m −1 sr −1 ) in the heavily polluted case. Furthermore, the particle lidar ratios varied according to season, especially between winter (57 ± 13 sr) and summer (33 ± 10 sr). The seasonal variation in lidar ratios at Wuhan suggests that the East Asian monsoon significantly affects the primary aerosol types and aerosol optical properties in this region. The relationships between particle lidar ratios and wind indicate that large lidar ratio values correspond well with weak winds and strong northerly winds, whereas significantly low lidar ratio values are associated with prevailing southwesterly and southerly wind.

Suggested Citation

  • Wei Wang & Wei Gong & Feiyue Mao & Zengxin Pan & Boming Liu, 2016. "Measurement and Study of Lidar Ratio by Using a Raman Lidar in Central China," IJERPH, MDPI, vol. 13(5), pages 1-13, May.
    • Handle: RePEc:gam:jijerp:v:13:y:2016:i:5:p:508-:d:70323
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    Citations

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    Cited by:

    1. Bo Zhu & Yu Zhang & Nan Chen & Jihong Quan, 2019. "Assessment of Air Pollution Aggravation during Straw Burning in Hubei, Central China," IJERPH, MDPI, vol. 16(8), pages 1-14, April.
    2. Wei Wang & Feiyue Mao & Wei Gong & Zengxin Pan & Lin Du, 2016. "Evaluating the Governing Factors of Variability in Nocturnal Boundary Layer Height Based on Elastic Lidar in Wuhan," IJERPH, MDPI, vol. 13(11), pages 1-12, November.
    3. Jamal Jokar Arsanjani, 2017. "Remote Sensing, Crowd Sensing, and Geospatial Technologies for Public Health: An Editorial," IJERPH, MDPI, vol. 14(4), pages 1-3, April.

    More about this item

    Keywords

    lidar ratio; aerosol; wind; monsoon;
    All these keywords.

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