Acta Optica Sinica, Volume. 36, Issue 11, 1101002(2016)

Measurement Study of PM2.5 Concentration with Side-Scattering Lidar Based on CCD

Hu Miao1、*, Wu Duanfa1, Li Qiliang1, Zhou Xuefang1, Wei Yizhen1, Bi Meihua1, Yang Guowei1, Song Yang2, and Li Peng2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less

    Based on the side-scattering lidar equation and Mie scattering theory, the relational model of PM2.5 concentration and side-scattered light intensity is built, and a method for real-time monitoring near-ground PM2.5 concentration based on charge-coupled device(CCD) is proposed. A side-scattering lidar device is designed, which uses the laser with 532 nm wavelength as light source and CCD as the receiver. The side-scattering echo signal with scattering angle from 15° to 45° is measured with this device. The gray value matrix is extracted from the echo signal image, and the light intensity distribution in the echo signal image is analyzed. Compared with the measurement results provided by SHARP, a PM2.5 monitor from Thermo Fisher Scientific Company, the formula between PM2.5 concentration and total energy of three gray levels is fitted with a fitting degree better than 0.97. The device has the characteristics of convenient operation, convenient movement, real-time monitoring and low cost. It has a higher precision and practicality than the backscatter lidar in near-ground, which contributes to establish the distribution and movement model of PM2.5 pollutants and make a map of pollution.

    Tools

    Get Citation

    Copy Citation Text

    Hu Miao, Wu Duanfa, Li Qiliang, Zhou Xuefang, Wei Yizhen, Bi Meihua, Yang Guowei, Song Yang, Li Peng. Measurement Study of PM2.5 Concentration with Side-Scattering Lidar Based on CCD[J]. Acta Optica Sinica, 2016, 36(11): 1101002

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Atmospheric Optics and Oceanic Optics

    Received: May. 3, 2016

    Accepted: --

    Published Online: Nov. 8, 2016

    The Author Email: Miao Hu (miao_hu@foxmail.com)

    DOI:10.3788/aos201636.1101002

    Topics