표제지
목차
Abstract 9
제1장 서론 12
제1절 연구 배경 12
제2절 연구 동향 15
제3절 연구목적 19
제2장 연구 방법 21
제1절 이론적 고찰 21
(1) PMF (Positive Matrix Factorization) 21
(2) 역궤적 모델 23
(3) Hybrid receptor model 24
제2절 측정 및 분석 방법 26
(1) 측정장소 및 기간 26
(2) 시료채취 및 분석방법 28
(3) PMF 수용 모델 34
(4) 배출량 인벤토리 36
(5) Advanced Concentration, Emission and Retention time Weighted Trajectory (ACERWT) 39
제3장 연구 결과 및 고찰 42
제1절 PMF 모델을 활용한 배출원 추정 42
(1) PMF 입력자료 42
(2) PMF 모델을 활용한 배출원 추정 48
제2절 ACERWT 모델을 활용한 배출원의 잠재적 기여도 추정 60
(1) 기존의 CWT와 ACERWT의 상대적 기여도 결과 비교 60
(2) ACERWT 결과 64
(3) Hybrid receptor model 결과(PMF+ACERWT) 68
(4) ACERWT 모델의 한계점과 향후 개선 방향 79
제4장 결론 81
Reference 88
Table 1. Analytical conditions of ion chromatography 31
Table 2. Gas/temperature conditions of the carbon analyzer 33
Table 3. PMF input data during the measurement period 43
Table 4. Number of Frequency depending on PM2.5 concentration level by season 45
Table 5. Source contribution for eight sources during the whole measurement periods 58
Table 6. REAS emission categories by source 71
Table 7. Grid contribution and ratio by emissions sectors considered primary emissions (PM₂.₅, SO₂, NOx) 74
Table 8. Contribution and ratio in emission source to regional sectors 76
Table 9. Contribution of overseas and domestic emission source to PM₂.₅ in Korea by air pollution diffusion model 77
Figure 1. Location of the receptor site 26
Figure 2. Ion monitoring system 30
Figure 3. System of carbon analyzer 32
Figure 4. Online XRF 34
Figure 5. Emissions for each estimated source 38
Figure 6. Ratio by component depending on PM₂.₅ concentration level 45
Figure 7. Ion balance of input data 47
Figure 8. Scatter plot for observed and predicted mam components in input data 50
Figure 9. Factor profiles in receptor site 52
Figure 10. Factor contribution by analysis of time series 53
Figure 11. Average seasonal source contribution in receptor site 59
Figure 12. Flow chart of ACERWT model applied to this study 60
Figure 13. Comparison of CWT results 63
Figure 14. Result of ACERWT model 67
Figure 15. Sector by region 70