Research Article

Analyzing the Relationship between the PM2.5 Concentration and the Gini Coefficient Using the Grey Model

Table 5

Fitting results of the PM2.5 concentrations in Northwest China.

YearShaanxiGansuQinghai
Gini coefficientPM2.5ResultGini coefficientPM2.5ResultGini coefficientPM2.5Result

20060.46156.1056.100.48245.9045.900.47332.4032.40
20070.45956.1058.090.49041.5043.440.47433.6035.56
20080.46247.8058.120.47741.0043.490.48634.5035.58
20090.45657.8058.060.47847.0043.630.48135.2035.60
20100.45664.4057.960.43548.4044.140.45240.2035.54
20110.40567.5057.170.39653.8045.150.40242.0035.41
20120.40461.2056.370.36447.7046.020.35935.7035.26
20130.39961.4056.270.35549.2046.530.33238.8035.14
20140.38754.3056.010.38643.0046.250.35835.9035.14
20150.40447.0056.070.46938.7044.840.44429.2035.33
20160.40351.1056.320.43039.8044.310.39628.5035.39
MAPE9.07%7.87%8.66%
20170.39856.230.42744.820.39135.30
20180.39356.080.42444.890.38635.28
20190.38855.930.42144.970.38135.27

YearNingxiaXinjiang
Gini coefficientPM2.5ResultGini coefficientPM2.5Result
20060.44460.0060.000.43654.7054.70
20070.44844.3044.790.42858.4052.99
20080.45338.2044.800.43352.5053.29
20090.44246.8044.800.42748.5053.09
20100.43353.4044.780.38661.0053.13
20110.37751.4044.730.34251.3054.32
20120.34845.6044.670.31055.6055.60
20130.36847.8044.660.31360.9056.96
20140.35840.1044.670.34559.1057.40
20150.46639.4044.740.39949.2056.57
20160.39440.3044.770.38553.8054.25
MAPE8.77%5.84%
20170.39244.710.38254.76
20180.39044.710.37854.88
20190.38844.710.37554.99