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. 2014 Sep 17;2014:824301. doi: 10.1155/2014/824301

Table 10.

Comparison of the concentrations of carbonyl compounds reported in present method with other cities in the world.

S. No. City/country Sampling period Site characteristics N FRML ACTL PPNL BTL iVAL nVAL MEK C 1/C 2 Reference
1 Kolkata/India Site 1, summer Mixed (res., traffic, and ind.) 18.60 9.09 1.50 1.46 2.0 [29]
Winter 13.76 6.76 1.02 0.75 2.0
Site 2, summer Mixed (res., traffic, and ind.) 11.02 4.59 0.73 1.30 2.4
Winter 9.92 4.98 0.95 0.74 2.0

2 Guangzhou/China July–Sep, 2003 Residential 5 10.88 5.83 1.11 0.66 0.23 0.25 1.9 [30]
Industrial 5 11.07 3.96 0.55 0.29 0.08 0.62 2.8

3 Guangzhou/China 17–19, Nov–2005
(clear days)
Residential and traffic site 12 4.74 3.95 0.35 0.78 0.12 0.16 1.2 [31]
30 Nov–2, Dec 2005
(hazy days)
Residential and traffic 12 11.49 8.91 1.16 0.81 0.18 2.74 1.3

4 Ansan, Shi Hung/Republic of Korea Aug, 2004–Sep, 2005 Industrial 19.30 19.50 19.00 13.00 0.93 0.82 1.0 [8]

5 Gumi/Republic of Korea Dec, 2003–Nov, 2004 Industrial site 1 172 3.40 7.35 0.80 2.40 0.5 [6]
2004 Industrial site 2 78 3.87 2.52 1.01 4.81 1.5
2004 Industrial, site 3 77 3.86 4.22 1.04 3.32 0.9

6 Mexico city/Mexico Mar,1998–Feb, 1999 Mixed (res., com., and ind.) 35 4.33 2.31 0.53 0.29 0.44 0.16 1.9 [32]

7 Rome/Italy 2006 Urban 2.16 1.26 0.41 1.61 0.06 0.13 1.7 [33]

8 Kurkimaki/Finland Residential 0.37 0.36 0.05 0.03 1.0 [34]

9 Roverdo Nov-Dec, 2005 Rural 0.38 0.10 0.05 0.08 [35]
Zurich/Switzerland Nov-Dec, 2005 Urban res. 0.86 0.12 0.04 0.03

10 Santiago/Chile Nov-Dec, 2003 Downtown 40 3.90 3.00 0.46 3.30 0.11 1.3 [36]

11 Yeosu industrial/Korea May, Aug, Oct 2008, Jan 2009 Oil refinery, petrochemical industries 80 7.40 2.75 0.29 0.06 0.03 0.11 2.57 2.7 This study
Yeosu residential/Korea Residential 78 8.06 3.43 0.35 0.56 0.03 0.05 2.05 2.3
Gwangyang industrial/Korea Steel industries 79 5.99 1.97 0.14 0.02 0.02 0.07 2.74 3.0
Gwangyang residential/Korea Residential 80 7.15 2.23 0.17 0.01 0.01 0.03 2.29 3.2
Suncheon comparison/Korea Residential 80 6.52 2.54 0.21 0.10 0.03 0.05 2.05 2.6