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82 © Shareef, Husain, and Alharbi 2016 | Optimal Air Quality Monitoring Network

and r2=0.864. These values increased to 14.684,         emissions, the primary source of NOx is from au-
27.468 and 0.312, respectively, for eight station       tomobile emissions, which are reasonably
eliminations (Figures 3, 4 and 5). For MAPE sce-        evenly distributed over the study area, and
nario of <=25, 7, a maximum of seven stations           hence a fewer number of stations is required to
could be eliminated (3, 5, 6, 7, 11, 14 and 16).        produce the concentration maps. Stations 4 and
However, RMSE and r2 values were not within             8 signify the presence of industries, and the
the predefined limits. Taking the MAPE as prior-        other stations are spread over the densely popu-
ity, a minimum of nine stations were needed to          lated areas in the city where the automobiles
produce satisfactory NOx concentration maps as          move predominantly. The ACFT=0.966 and
shown in Figure 7. In addition to the industrial        NSE=0.341 supports the elimination of the seven
                                                        stations.

Figure 7: Stations required to generate NOx concentration maps (RMSE<15 and MAPE<25)

Table 4

Performance measures for SO2 simulations

No. of            Optimal station(s)         Interpol.  RMSE   r2     MAPE    NSE     ACFT
station(s) to be  combination that can be    method     2.155  0.323
eliminated        eliminated                 UK         3.991  0.446  2.155   -1.507  0.983
1                 1                          IDW        4.599  0.375  5.925   0.421   1.029
2                 1, 4                       UK         4.737  0.268  10.792  0.355   1.042
3                 1, 4, 13                   IDW        5.124  0.582  15.562  0.167   1.063
4                 1, 4, 6, 13                IDW        6.258  0.642  25.187  0.428   1.140
5                 1, 4, 6, 13, 15            IDW        7.579  0.469  43.558  0.284   1.248
6                 1, 4, 6, 11, 13, 15        UK         9.962  0.301  60.337  0.038   1.278
7                 1, 4, 6, 7, 11, 13, 15     UK                       69.931  0.100   1.279
8                 1, 4, 6, 7, 9, 11, 13, 15

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