2009. 2. 책임연구기관
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6.3.1 Sample Collection and Analysis 161 6.3.1.1 Sample Collection 161 6.3.1.2 Sample Analysis 161 6.3.2 Results 162 6.3.2.1 Dalian 162 6.3.2.2 Xiamen 163 6.3.3 Discussion 164 6.3.4 Preliminary Conclusion 164 6.4.1 Description of Numerical Model of China 168 - v -
6.4.1.1 CMAQ Modeling System 168 6.4.1.2 Calculation of Source-Receptor Relationship 169 6.4.2 Modeling Inter-comparison 170 6.4.2.1 Meteorological Filed Simulation 170 6.4.2.2 Simulated Concentration 170 6.4.2.3 Simulated Dry and Wet Deposition 177 6.4.3 Source-receptor Relationship for Sulfur Deposition 184 - vi -
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Table Ⅵ-15. Averaged mass concentrations and chemical compositions of PM in Dalian 165 Table Ⅵ-16. Mass concentrations and chemical compositions of PM in Xiamen 166 Table Ⅵ-17. Element Enrichment factors in Dalian 166 Table Ⅵ-18. 167 Table Ⅵ-19. Contribution from sources to receptors of sulfur deposition in March, 2002 187 Table Ⅵ-20. Contribution from sources to receptors of sulfur deposition in July, 2002 187 Table Ⅵ-21. Contribution from sources to receptors of sulfur deposition in October, 2002 187 Table Ⅵ-22. Contribution from sources to receptors of sulfur deposition in - ix -
December, 2002 188 Table Ⅵ-23. Contribution from sources to receptors of sulfur deposition 2002 188 Table Ⅵ-24. Contribution from sources to receptors of sulfur deposition in March, 2002(%) 188 Table Ⅵ-25. Contribution from sources to receptors of sulfur deposition in July, 2002(%) 189 Table Ⅵ-26. Contribution from sources to receptors of sulfur deposition in October, 2002(%) 189 Table Ⅵ-27. Contribution from sources to receptors of sulfur deposition in December, 2002(%) 189 Table Ⅵ-28. Contribution from sources to receptors of sulfur deposition in 2002(%) 189 - x -
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tblpointsi tblpointeu tblpointep - 53 -
Key Fields 는 Key Fields 는 - 54 -
Key Fields 는 37. - 55 -
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Fig. 12. Temporal allocation factors in SMOKE for on-road mobile sources Fig. 13. Temporal allocation factors in SMOKE for non-road mobile sources - 86 -
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Table Ⅳ-2. Source mapping table for EDGAR to SCC - 90 -
inventory development - 91 -
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(a) (b) w.r.t region (Streets et al., 2003) - 96 -
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β - 146 -
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Concentration (ppb) Concentration (ppb) 70 60 50 40 30 20 10 0 70 60 50 40 30 20 10 an-02 Mar-02 May-02 ul-02 0 Jan-02 Mar-02 May-02 Jul-02 ep-02 Nov-02 an-03 Mar-03 May-03 ul-03 ep-03 Fujiazhuang Ganjingzi Hongwen - 148 - ov-03 Jan-04 Mar-04 May-04 Jul-04 Sep-04 Nov-04 Jan-05 Mar-05 May-05 Jul-05 Sep-05 Nov-05 Jan-06 Mar-06 May-06 Jul-06 Sep-06 Nov-06 Jan-07 Mar-07 May-07 Jul-07 Sep-07 Nov-07 Jan-08 Mar-08 May-08 Jul-08 Sep-08 Nov-08 Sep-02 Nov-02 Jan-03 Mar-03 May-03 Jul-03 Sep-03 Fujiazhuang Ganjingzi Hongwen Nov-03 Jan-04 Mar-04 May-04 Jul-04 Sep-04 Nov-04 Jan-05 Mar-05 May-05 Jul-05 Sep-05 Nov-05 Jan-06 Mar-06 May-06 Jul-06 Sep-06 Nov-06 Jan-07 Mar-07 May-07 Jul-07 Sep-07 Nov-07 Jan-08 Mar-08 May-08 Jul-08 Sep-08 Nov-08
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0.30 0.25 Fujiazhuang Ganjingzi Hongwen 0.20 0.15 0.10 0.05 0.00 an-02 Mar-02 May-02 ul-02 ep-02 Nov-02 an-03 Mar-03 May-03 ul-03 ep-03 Nov-03 an-04 Mar-04 May-04 ul-04 ep-04 Nov-04 an-05 Mar-05 May-05 ul-05 ep-05 Nov-05 an-06 Mar-06 May-06 ul-06 ep-06 Nov-06 an-07 Mar-07 May-07 ul-07 ep-07 Nov-07 an-08 Mar-08 May-08 ul-08 ep-08 Nov-08-150 -
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(1) The average concentrations of TSP, PM 10 and PM 2.5 were 0.256mg/m 3, 0.187mg/m 3 and 0.110mg/m 3, respectively. The highest mass concentration of TSP, PM 10 and PM 2.5, observed on May 20-30th, was 0.732mg/m 3, 0.550mg/m 3 and 0.279mg/m 3, respectively. PM 10 and PM 2.5 accounted for 73% and 43% of TSP respectively. Furthermore, PM 2.5 was 59% in PM 10, which indicated that fine particle was the main - 155 -
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Rij = å n i Hij 100% Hij - 169 -
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