Spaciotemporal Distributions of PM10 Concentration and Their Correlation with Local Temperature Changes : a Case Study of Busan Metropolitan City

PM10 농도의 시공간적 분포 특징과 국지적 기온 변화 간의 상관관계: 부산광역시 사례 분석

  • Park, Sunyurp (Department of Geography Education, Pusan National University)
  • Received : 2017.01.16
  • Accepted : 2017.02.13
  • Published : 2017.02.28

Abstract

The main objective of this study was to investigate the climatic impact of $PM_{10}$ concentration on the temperature change pattern in Busan Metropolitan City(BMC), Korea during 2001~2015. Mean $PM_{10}$ concentration of BMC has gradually declined over the past 15 years. While the highest $PM_{10}$ concentration was observed in spring followed by winter, summer, and fall on average, the seasonal variations of $PM_{10}$ concentration differed from place to place within the city. Frequency analysis showed that the most frequently observed $PM_{10}$ concentration ranged from $20{\mu}g/m^3$ to $60{\mu}g/m^3$, which accounted for 64.6% of all daily observations. Overall, the west-high and east-low pattern of $PM_{10}$ concentration was relatively strong during the winter when the effect of yellow-dust events on the air quality was weak. Comparative analyses between $PM_{10}$ concentration and monthly temperature slope derived from generalized temperature curves indicated that the decreasing trend of $PM_{10}$ concentration was associated with increases of annual temperature range, and $PM_{10}$ concentration had a negative relationship with the temperature slope of warming months. Overall, $PM_{10}$ concentration had a weak correlation with the annual mean temperature, but it had a significant, positive correlation with the winter season, which had a dominant influence on the annual mean temperature. In terms of energy budget, it has been known that the change in $PM_{10}$ concentration contributes to the warming or cooling effect by affecting the radiative forcing due to the reflection and absorption of radiant energy. The correlation between $PM_{10}$ concentration and temperature changes in the study area was not seasonally and spatially consistent, and its significance was statistically limited partly due to the number of observations and the lack of potential socioeconomic factors relevant to urban air quality.

본 연구의 목적은 2001~2015년 동안 부산광역시의 $PM_{10}$ 농도가 기온변화 패턴에 미치는 영향을 파악하는 것이다. 최근 15년간 관측된 부산광역시 $PM_{10}$ 농도는 꾸준한 감소 추세를 보이고 있다. 계절적 $PM_{10}$ 농도는 평균적으로 봄철에 가장 높게 나타났고, 겨울철, 여름철, 가을철의 순으로 관측되었지만, 관측 지점별로 계절적 평균 농도 순위는 일정하지 않았다. $PM_{10}$ 농도의 구간별 발생 빈도를 분석한 결과, 가장 높은 빈도로 관측된 미세먼지 농도는 $20{\mu}g/m^3{\sim}60{\mu}g/m^3$ 범위로 조사되었고, 이는 전체 관측일수의 64.6%에 달했다. 황사일과 비황사일의 월평균 농도를 공간적으로 비교한 결과, 황사의 영향이 상대적으로 작은 겨울철에 미세먼지 농도의 서고동저 패턴이 다소 강하게 나타난 반면, 황사의 영향이 증가하는 봄철에는 지역적 차이가 감소하였다. 단순화된 연간 기온 곡선을 이용하여 산출한 월평균 기온증감률을 $PM_{10}$ 농도와 비교한 결과, $PM_{10}$ 농도 변화는 연구지역 평균 기온상승률과 음의 상관관계를 보임에 따라 $PM_{10}$ 농도 감소 추세는 연중 기온 변화 폭(연교차)의 증가 경향으로 이어졌다. 전체적으로 $PM_{10}$ 농도 변화는 연평균기온과는 미미한 상관관계를 나타냈지만, 연평균기온에 지배적인 영향을 주는 겨울철로 국한할 때 $PM_{10}$ 농도와 기온은 비교적 높은 양의 상관관계를 보였다. 에너지 수지 측면에서, $PM_{10}$ 농도 변화는 복사에너지의 반사와 흡수에 따른 복사강제력에 영향을 미쳐 온난화 또는 냉각효과에 기여하게 되는데, 연구지역의 $PM_{10}$ 농도 변화와 기온 변화 간의 상관관계는 시공간적으로 일정하지 않고 도시 대기 질에 연관된 사회경제적 요인이 고려되지 않아 통계적 유의성은 제한적으로 나타났다.

Keywords

References

  1. Albrecht, B.A., 1989, Aerosols, cloud microphysics, and fractional cloudiness, Science, 245(4923), 1227-1230. https://doi.org/10.1126/science.245.4923.1227
  2. An, S.I., Ha, K.J., Seo, K.H., Yeh, S.W., Min, S.K., and Ho, C.H., 2011, A review of recent climate trends and causes over the Korean Peninsula, Climate Change Research, 2(4), 237-251.
  3. Andres, L., Salas, W.A., and Skole, D., 1994, Fourier analysis of multi-temporal AVHRR data applied to a land cover classification, International Journal of Remote Sensing, 15(5), 1115-1121. https://doi.org/10.1080/01431169408954145
  4. Azzali, S. and Menenti, M., 2000, Mapping vegetation-soil-climate complexes in southern Africa using temporal Fourier analysis using NOAA-AVHRR-NDVI data, International Journal of Remote Sensing, 21(5), 973-996. https://doi.org/10.1080/014311600210380
  5. Chung, C.E., Ramanathan, V., Carmichael, G., Kulkarni, S., Tang, Y., Adhikary, B., Leung, L.R., and Qian, Y., 2010, Anthropogenic aerosol radiative forcing in Asia derived from regional models with atmospheric and aerosol data assimilation, Atmospheric Chemistry and Physics, 10(13), 6007-6024, doi:10.5194/acp-10-6007-2010.
  6. Chung, Y.S., Yoon, M.B., and Kim, H.S., 2004, On climate variations and changes observed in South Korea, Climate Change, 66(1), 151-161. https://doi.org/10.1023/B:CLIM.0000043141.54763.f8
  7. Davis, J.C., 2002, Statistics and Data Analysis in Geology, John Wiley & Sons, Inc., New York, 268.
  8. Dockery, D.W. and Pope, C.A., 1994, Acute respiratory effects of particulate air pollution, Annual Review of Public Health, 15, 107-132. https://doi.org/10.1146/annurev.pu.15.050194.000543
  9. Hong, S.C., Chung, I.U., Kim, H.J., Lee, K.T., and Lee, J.B., 2008, Estimation of aerosol radiative forcing by AGCM, Journal of the Environmental Sciences, 17(6), 623-631. https://doi.org/10.5322/JES.2008.17.6.623
  10. IPCC, 2013, Climate Change 2013: The Physical Science Basis, in Stocker, T.F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S.K., Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P.M. (ed.), Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, New York.
  11. Jakubauskas, M.E., Legates, D.R., and Kastens, J.H, 2001, Harmonic analysis of time-series AVHRR NDVI data, Photogrammetric Engineering and Remote Sensing, 67(4), 461-470.
  12. Jeon, B.I., 2003, Characteristics of spaciotemporal variation for PM10 concentration in Busan, Journal of the Environmental Sciences, 12(10), 1033-1041. https://doi.org/10.5322/JES.2003.12.10.1033
  13. Jeon, B.I., 2010, Characteristics of spaciotemporal variation for $PM_{10}$ and $PM_{2.5}$ concentration in Busan, Journal of the Environmental Sciences, 19(8), 1013-1023. https://doi.org/10.5322/JES.2010.19.8.1013
  14. Jeong, J.H., Kim, H.S., Kim, J.T., Park, Y.P., and Choi, H.J., 2013, An analysis of aerosol direct radiative forcing using satellite data in East Asia during 2001-2010, Journal of Environmental Science International, 22(8), 1053-1062.
  15. Jin, M. and Park, S., 2015, Temperature changes of climatic solar terms and their spatiotemporal characteristics in South Korea, Journal of the Korean Geographical Society, 50(1), 23-36.
  16. Jin, Y.H., Koo, H.J., Kim, B.M., Kim, Y.P., and Park, S.U., 2003, Variations of the $PM_{10}$ concentrations observed in eleven cities in South Korea between 1995 and 2000, Journal of Korean Society for Atmospheric Environment, 19(2), 231-245.
  17. Kaufman, Y.J., Tanré, D., and Boucher, O., 2002, A satellite view of aerosols in the climate system, Nature, 419(6903), 215-223. https://doi.org/10.1038/nature01091
  18. Kim, H., Seok, H., and Kim, Y., 2014, A study on the change of the urban heat island structure in Busan metropolitan area, Korea, Journal of Environmental Science International, 23(11), 1807-1820. https://doi.org/10.5322/JESI.2014.23.11.1807
  19. Kim, K.H., Kim, B.J., Oh, J.H., Kwon, W.T., and Baek, H.J., 2000, Detection of urbanization effect in the air temperature change of Korea, Journal of Korean Meteorological Society, 36(5), 519-526.
  20. Kim, S. and Lee, S., 2013, The analysis of the weather characteristics by source region of the Asian Dust observed in South Korea, Journal of the Korean Geographical Society, 48(2), 167-183.
  21. Kim, Y.J., Woo, J.H., Ma, Y.I., Kim, S., Nam, J.S., Sung, H., Choi, K.C., Seo, J., Kim, J.S., Kang, C.H., Lee, G., Ro, C.U., Chang, D., and Sunwoo, Y., 2009, Chemical characteristics of long-range transport aerosol at background site in Korea, Atmospheric Environment, 43(34), 5556-5566. https://doi.org/10.1016/j.atmosenv.2009.03.062
  22. Kokhanovsky, A.A. and de Leeuw, G., 2009, Satellite Aerosol Remote Sensing over Land, Springer, Chichester, UK, 1.
  23. Kwon, H.J., Cho, S.H., Chun, Y., Lagarde, F., and Pershagen, G., 2002, Effects of the Asian dust events on daily mortality in Seoul, Korea, Environmental Research Section A, 90(1), 1-5. https://doi.org/10.1006/enrs.2002.4377
  24. Kwon, Y., Kwon, W., Boo, K., and Choi, Y., 2007, Future projections on subtropical climate regions over South Korea using SRES A1B data, Journal of Korean Geographical Society, 42(3), 355-367.
  25. Lee, D.H., Lee, K.H., Kim, J.E., and Kim, Y.J., 2006, Characteristics of atmospheric aerosol optical thickness over the Northeast Asia using TERRA/MODIS data during the year 2000-2005, Atmosphere, 16(7), 85-96.
  26. Lee, K.H., 2012, Impact of Northeast Asian biomass burning activities on regional atmospheric environment, Journal of Korean Association of Geographic Information Studies, 15(1), 184-196. https://doi.org/10.11108/kagis.2012.15.1.184
  27. Lee, K., Li, Z., Kim, Y., and Kokhanovsky, A., 2009, Atmospheric aerosol monitoring from satellite observations: a history of three decades, in Kim, Y., Platt, U., Gu, M.B., and Iwahashi, H., Atmospheric and Biological Environmental Monitoring, Springer, New York, 13-38.
  28. Lee, S., Ho, C.H., and Choi, Y.S., 2011, High- $PM_{10}$ concentration episodes in Seoul, Korea: back-ground sources and related meteorological conditions, Atmospheric Environment, 45 (39), 7240-7247. https://doi.org/10.1016/j.atmosenv.2011.08.071
  29. Lee, W., Hwang, M., and Kim, Y., 2014, Health vulnerability assessment for $PM_{10}$ in Busan, Journal of Environmental Health Sciences, 40(5), 355-366.
  30. Lee, W. and Lee, M., 2016, Interannual variability of heat waves in South Korea and their connection with large-scale atmospheric circulation patterns, International Journal of Climatology, 36(15), 4815-4830. https://doi.org/10.1002/joc.4671
  31. Olsson, L. and Eklundh, L., 1994, Fourier series for analysis of temporal sequences of satellite sensor imagery, International Journal of Remote Sensing, 15(18), 3735-3741. https://doi.org/10.1080/01431169408954355
  32. Park, M.H., Lee, J.S., Ahn, J.S., Shu, I.S., and Kim, H.D., 2012, Study on the climate change and the urbanization effect in Busan, Journal of the Environmental Sciences, 21(4), 401-409. https://doi.org/10.5322/JES.2012.21.4.401
  33. Park, S., 2003, Harmonic analyses of NDVI response patterns to temporal changes in soil moisture content, The Korean Association of Professional Geographers, 37(1), 67-79.
  34. Park, S., 2009, Synchronicity between satellitemeasured leaf phenology and rainfall regime in Hawaiian tropical forests, Photogrammetric Engineering and Remote Sensing, 75(10), 1231-1237. https://doi.org/10.14358/PERS.75.10.1231
  35. Park, S., 2010, A dynamic relationship between the leaf phenology and rainfall regimes of Hawaiian tropical ecosystems: a remote sensing approach, Singapore Journal of Tropical Geography, 31(3), 371-383. https://doi.org/10.1111/j.1467-9493.2010.00408.x
  36. Park, S., 2016, Influences of temperature change rates and impervious surfaces on the intra-city climatic patterns of Busan Metropolitan Area, Journal of Korean Association of Geographic Information Studies, 19(4), 199-217. https://doi.org/10.11108/kagis.2016.19.4.199
  37. Park, S., and Choi, J., 2016, Satellite-measured atmospheric aerosol content in Korea: anthropogenic signals from decadal records, GIScience & Remote Sensing, 53(5), 634-650. https://doi.org/10.1080/15481603.2016.1214351
  38. Park, S. and Tak, H., 2013, Land use changes and climate patterns in Southeast Korea, Journal of Korean Association of Geographic Information Studies, 16(2), 47-64. https://doi.org/10.11108/kagis.2013.16.2.047
  39. Remer, L.A., Kleidman, R.G., Levy, R.C., Kaufman, Y.J., Tanré, D., Mattoo, S., Martins, J.V., Ichoku, C., Koren, I., Yu, H., and Holben, B.N., 2008, Global aerosol climatology from the MODIS satellite sensors, Journal of Geophysical Research, 113, D14S07, doi:10.1029/2007JD009661.
  40. Wilks, D.S., 2011, Statistical Methods in the Atmospheric Sciences, Elsevier, Oxford, 428-438.
  41. WHO, 2006, WHO Air Quality Guidelines for Particulate Matter, Ozone, Nitrogen Dioxide and Sulfur Dioxide-Global Update 2005, World Health Organization, 9-13.
  42. Zhao, H., Che, H., Ma, Y., Xia, X., Wang, Y., Wang, P., and Wu, X., 2015, Temporal variability, particulate matter mass concentration and aerosol optical properties over an urban site in Northeast China, Atmospheric Research, 166, 204-212. https://doi.org/10.1016/j.atmosres.2015.07.003