• Laser & Optoelectronics Progress
  • Vol. 58, Issue 19, 1901002 (2021)
Meng Yang1, Changjian Ni1、*, Zisheng Meng1, and Xinyi Li2
Author Affiliations
  • 1Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, College of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu , Sichuan 610225, China
  • 2Chengdu Meteorological Service, Chengdu , Sichuan 611130, China
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    DOI: 10.3788/LOP202158.1901002 Cite this Article Set citation alerts
    Meng Yang, Changjian Ni, Zisheng Meng, Xinyi Li. Nonstationary Analysis of Aerosol Extinction Coefficient in Chengdu During Autumn and Winter[J]. Laser & Optoelectronics Progress, 2021, 58(19): 1901002 Copy Citation Text show less
    Time series of the aerosol extinction coefficient. (a) 2015; (b) 2016; (c) 2017
    Fig. 1. Time series of the aerosol extinction coefficient. (a) 2015; (b) 2016; (c) 2017
    Centile curves plots based on M0 and M1b_5 models. (a) M0; (b) M1b_5
    Fig. 2. Centile curves plots based on M0 and M1b_5 models. (a) M0; (b) M1b_5
    AIC value of aerosol extinction coefficient sequence model
    Fig. 3. AIC value of aerosol extinction coefficient sequence model
    Centile curves plots based M2b model
    Fig. 4. Centile curves plots based M2b model
    QQ plots based on M2b model. (a) 2015; (b) 2016; (c) 2017
    Fig. 5. QQ plots based on M2b model. (a) 2015; (b) 2016; (c) 2017
    Contribution of each variable in the critical period and the aerosol extinction coefficient
    Fig. 6. Contribution of each variable in the critical period and the aerosol extinction coefficient
    External covariateVariableUnit
    Mass concentrationPM2.5μg /m3
    Relative humidityRH%
    Aerosol component structureρPM2.5/ρPM10%
    Table 1. External covariates
    Model codeVariableDescription
    M0-stationary model
    M1aTlinear time model
    M1bTnonlinear time model
    M2aexternal covariatessingle covariate
    M2bexternal covariatesmultiple covariates,identified by the stepwise selection
    Table 2. Parameters of the candidate models
    TimeMean /km-1Standard deviationSkewness coefficientKurtosis coefficientVariation coefficient
    20150.670.532.289.110.79
    20161.080.741.412.960.68
    20170.710.511.694.010.72
    Table 3. Statistical parameters of aerosol extinction coefficient time series
    Model codeθ1θ2201520162017
    M0ctct785.61880.7704.7
    M1a_1Tct722.11879.7695.4
    M1a_2ctT779.51879.5697.3
    M1a_3TT724.01877.5686.0
    M1b_1XcsTct500.81597.3533.2
    M1b_2XcsTT499.11783.0535.0
    M1b_3ctXcsT703.11783.1670.8
    M1b_4TXcsT643.21765.3646.3
    M1b_5XcsTXcsT462.81535.9520.6
    Table 4. AIC values of M0 and M1 models
    Timeθ1θ2AIC
    2015PM2.5+RH+PM2.5/PM10PM2.5-437.6
    2016PM2.5+RH+PM2.5/PM10PM2.5+RH264.2
    2017PM2.5+RH+PM2.5/PM10PM2.5+RH+PM2.5/PM10-165.1
    Table 5. Aerosol extinction coefficient sequence based on M2 model
    TimeMeanVarianceSkewnessKurtosisPPCC
    2015-0.0121.001-0.1313.2910.998
    2016-0.0111.001-0.4263.3460.992
    2017-0.0101.001-0.0183.4770.998
    Table 6. Residual analysis results based on the M2b model
    ParameterPM2.5RHPM2.5/PM10
    20150.3080.2470.101
    20160.3330.2640.043
    20170.3900.2300.033
    Table 7. Average contribution of each variable to the nonstationarity of aerosol extinction coefficient series
    Process codeTimeAerosol extinction coefficient /km-1
    MinMax
    Process 120151103T1400—20151104T01000.5481.803
    Process 220161205T1400—20161205T23000.2383.463
    Process 320171218T1400—20171219T00000.3322.281
    Table 8. Key period of explosive growth of aerosol extinction coefficient
    Meng Yang, Changjian Ni, Zisheng Meng, Xinyi Li. Nonstationary Analysis of Aerosol Extinction Coefficient in Chengdu During Autumn and Winter[J]. Laser & Optoelectronics Progress, 2021, 58(19): 1901002
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