Research Article

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

Table 6

Fitting results of the PM2.5 concentrations in southwest and central China.

YearChongqingSichuanGuizhou
Gini coefficientPM2.5ResultGini coefficientPM2.5ResultGini coefficientPM2.5Result

20060.44772.372.30.40370.170.10.48837.337.3
20070.42761.870.00.40359.464.00.48939.738.6
20080.41967.466.60.39559.063.40.47836.138.5
20090.41663.565.40.40560.863.50.48238.038.5
20100.42972.266.60.39476.163.30.46439.438.4
20110.39071.663.70.38769.861.90.43345.738.2
20120.37768.658.20.35166.458.70.41948.638.1
20130.37259.656.40.35164.856.10.40935.338.0
20140.33153.152.10.35954.356.60.42736.038.0
20150.41146.255.90.38845.059.40.45432.638.2
20160.34945.257.60.37344.360.40.45330.938.3
MAPE9.74%13.20%9.58%
20170.34251.00.37059.10.44938.3
20180.33649.90.36858.70.44638.2
20190.32948.70.36658.30.44338.2

YearTibetHenanHubei
Gini coefficientPM2.5ResultGini coefficientPM2.5ResultGini coefficientPM2.5Result
20060.3946.76.70.39482.882.80.38960.560.5
20070.3587.37.10.39281.478.90.38665.668.7
20080.3498.27.10.39772.078.90.38663.368.5
20090.3606.87.10.40775.179.00.38868.768.6
20100.4136.57.10.39284.079.00.37074.267.8
20110.3636.37.10.36290.678.70.34776.465.6
20120.3078.07.10.33877.178.50.33361.463.8
20130.3036.17.20.33689.578.40.32769.362.8
20140.3237.77.20.32877.278.30.32364.562.3
20150.4106.77.10.35773.778.40.34257.863.0
20160.4067.67.10.36365.778.60.34550.564.1
MAPE8.23%7.15%8.03%
20170.4107.10.36078.60.34164.1
20180.4147.10.35778.60.33763.7
20190.4197.10.35578.60.33363.3