KZ 필터를 이용한 부산지역 PM10의 장기 추세 분석 = Analysis of the Long-term Trend of PM10 Using KZ Filter in Busan, Korea

다국어 초록 (Multilingual Abstract)

To determine the effect of air pollution reduction policies, the long-term trend of air pollutants should be analyzed. Kolmogorov-Zurbenko (KZ) filter is a low-pass filter, produced through repeated iterations of a moving average to separate each variable into its temporal components. The moving average for a KZ(m, p) filter is calculated by a filter with window length m and p iterations. The output of the first pass subsequently becomes the input for the next pass. Adjusting the window length and the number of iterations makes it possible to control the filtering of different scales of motion. To break down the daily mean PM10 into individual time components, we assume that the original time series comprises of a long-term trend, seasonal variation, and a short-term component. The short-term component is attributable to weather and short-term fluctuations in precursor emissions, while the seasonal component is a result of changes in the solar angle. The long-term trend results from changes in overall emissions, pollutant transport, climate, policy and/or economics. The long-term trend of the daily mean PM10 decreased sharply from 59.6 ug/m³ in 2002 to 44.6 ug/m³ in 2015. This suggests that there was a long-term downward trend since 2005. The difference between the unadjusted and meteorologically adjusted long-term PM10 is small. Therefore, we can conclude that PM10 is unaffected by the meteorological variables (total insolation, daily mean temperature, daily mean relative humidity, daily mean wind speed, and daily mean local atmospheric pressure) in Busan.

참고문헌 (Reference)

1 양금희, "한 · 중 · 일 PM10 국가 배경농도 최근 경향 분석" 한국대기환경학회 32 (32): 360-371, 2016

2 이종범, "전국 대도시의 기상 영향을 제거한 오존농도의 장기간 변화 추세" 한국자연보호학회 9 (9): 32-39, 2015

3 김유근, "서울과 부산지역 기상의 영향을 제거한 오존농도 추세" 한국대기환경학회 19 (19): 561-568, 2003

4 전병일, "부산지역 지역용도별 해안과 내륙의 PM10 농도 특성" 한국습지학회 11 (11): 47-54, 2009

5 김경원, "국립공원 지역 시정장애 현상의 물리∙화학적 특성" 한국대기환경학회 25 (25): 325-338, 2009

6 Eskridge, R. E., "Separating different scales of motion in time series of meteorological variables" 78 (78): 1473-1483, 1997

7 National Institute of Environmental Research, "National air pollutants emission"

8 Wise, E. K., "Meteorologically adjusted urban air quality trends in the Southwestern United States" 39 : 2969-2980, 2005

9 Lu, H. C., "Meteorologically adjusted trends of daily maximum ozone concentrations in Taipei, Taiwan" 39 : 6491-6501, 2005

10 이정영, "KZ 필터법을 이용한 서울지역 미세먼지 농도의 장기변화 분석" 한국대기환경학회 24 (24): 63-71, 2008

11 Wise, E. K., "Extending the Kolmogorov Zurbenko filter : Application to ozone, particulate matter, and meteorological trends" 55 : 1208-1216, 2005

12 Papanastasiou, D. K., "Estimation of ozone trend in central Greece, based on meteorologically adjusted time series" 17 : 353-361, 2012

13 Jung, A. R., "Effect of PM10 on mortality :Systematic review and meta-analysis, Graduate School of Public Health" Yonsei University 2013

14 Rao, T. S., "Determining temporal and spatial variations in ozone air quality" 45 : 57-61, 1995

15 Rao, T. S., "Detecting and tracking changes in ozone air quality" 44 : 1089-1092, 1994

16 "Busan Metropolitan City Institute of Health and Environment"

17 National Institute of Environmental Research, "Annual report of air quality 2015" 2015

18 Kumari, S., "Analysis of long-term ozone trend over Delhi and its meteorological adjustment" 10 : 1325-1336, 2013

19 Seoul Development Institute, "A Study on building customized management strategies based on local PM10 emission inventory in Seoul" 2011