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Theoretical and Applied Climatology

, Volume 131, Issue 1–2, pp 227–243 | Cite as

The influence of urban heat island phenomenon on PM concentration: an observation study during the summer half-year in metropolitan Taipei, Taiwan

  • Li-Wei LaiEmail author
Original Paper

Abstract

Air circulation due to the urban heat island (UHI) effect can influence the dispersion of air pollutants in a metropolis. This study focusses on the influence of the UHI effect on particulate matter (PM; including PM2.5 and PM2.5–10) between May and September 2010–2012 in the Taipei basin. Meteorological and PM data were obtained from the sites, owned by the governmental authorities. The analysis was carried out using t test, relative indices (RIs), Pearson product–moment correlation and stepwise regression. The results show that the RI values for PM were the highest at moderate UHI intensity (MUI; 2 °C ≤ UHI < 4 °C) rather than at strong UHI intensity (SUI; 4 °C ≤ UHI) during the peak time for anthropogenic emissions (20:00 LST). Neither the accumulation of PM nor the surface convergence occurred in the hot centre, as shown by the case study. At MUI, more than 89 % of the synoptic weather patterns showed that the weather was clear and hot or that the atmosphere was stable. The variation in PM was associated with horizontal and vertical air dispersion. Poor horizontal air dispersion, with subsidence, caused an increase in PM at MUI. However, the updraft motion diluted the PM at SUI. The stepwise regression models show that the cloud index and surface air pressure determined the variation in PM2.5–10, while cloud index, wind speed and mixing height influenced the variation in PM2.5. In conclusion, a direct relationship between UHI effect and PM was not obvious.

Notes

Acknowledgments

The authors are grateful to the Taiwan Environmental Protection Administration, the Taiwan Central Weather Bureau, the Taiwan Typhoon and Flood Research Institute, and the Data Bank for Atmospheric Research for providing meteorological and particulate matter data.

Supplementary material

704_2016_1975_MOESM1_ESM.doc (1.5 mb)
ESM 1 (DOC 1562 kb)

References

  1. Abatan AA, Abiodun BJ, Omotosho BJ (2014) On the characteristics of sea breezes over Nigerian coastal region. Theor Appl Climatol 116(102):93CrossRefGoogle Scholar
  2. Ahrens CD (2003) Meteorology today: an introduction to weather, climate, and the environment, seventh edn. Thomson /Brooks/Cole, Pacific Grove, CAGoogle Scholar
  3. Arnds D, Böhner J, Bechtel B (2015) Spatio-temporal variance and meteorological drivers of the urban heat island in a European city. Theor Appl Climatol 1–19. doi: 10.1007/s00704-015-1687-4
  4. Baik JJ, Kim YH, Chun HY (2001) Dry and moist convection forced by an urban heat island. J Appl Meteorol 40:1462–2475CrossRefGoogle Scholar
  5. Bowerman BL, O’Connell (1990) Linear statistical models: an applied approach, 2nd edn. PWS-KENT Publishing Company, Boston 1024pGoogle Scholar
  6. Cassidy BE, Aguilar-Villalobos M, Ryan PB, Naeher LP (2010) Reduced PM2.5 in Trujillo, Peru, on El Dia Sin Autos (“the day without cars”). J Environ Health 73(1):14–18Google Scholar
  7. Central Weather Bureau (CWB) (2015) An introduction to CWB datasheet. CWB, TaipeiGoogle Scholar
  8. Chen CF, Liang JJ (2013) Integrated chemical species analysis with source-receptor modeling results to characterize the effects of terrain and monsoon on ambient aerosols in a basin. Environ Sci Pollut Res 20(5):2867–2881CrossRefGoogle Scholar
  9. Chen TC, Yen MC, Tsay JD, Liao CC, Takle ES (2014) Impact of afternoon thunderstorms on the land–sea breeze in the Taipei Basin during summer: an experiment. J Appl Meteorol Climatol 53(7):1714–1738CrossRefGoogle Scholar
  10. Davy PK, Ancelet T, Trompetter WJ, Markwitz A, Weatherburn DC (2012) Composition and source contributions of air particulate matter pollution in a New Zealand suburban town. Atmospheric Pollution Research 3(1):143–147CrossRefGoogle Scholar
  11. Department of Statistics, Ministry of the Interior (DSMI) (2014) Number of villages, neighborhoods, households and resident population. http://statis.moi.gov.tw/micst/stmain.jsp?sys=220&ym=10100&ymt=10100&kind=21&type=1&funid=c0110101&cycle=4&outmode=0&compmode=0&outkind=1&fldspc=0,5,&cod01=1&cod03=1&rdm=oaicNXoY. Accessed 22 May 2014
  12. Du C, Liu S, Yu X, Li X, Chen C, Peng Y, Dong Y, Dong Z, Wang F (2013) Urban boundary layer height characteristics and relationship with particulate matter mass concentrations in Xi’an, Central China. Aerosol Air Qual Res 13:1598–1607Google Scholar
  13. Fang GC, Lin SC, Chang SY, Lin CY, Chou CCK, Wu YJ, Chen YC, Chen WT, Wu TL (2011) Characteristics of major secondary ions in typical polluted atmospheric aerosols during autumn in central Taiwan. J Environ Manag 92(6):1520–1527CrossRefGoogle Scholar
  14. Freitas ED, Rozoff CM, Cotton WR, Dias PLS (2007) Interactions of an urban heat island and sea-breeze circulations during winter over the metropolitan area of Sao Paulo, Brazil. Boundary-layer Meteorol 122(1):43–65CrossRefGoogle Scholar
  15. Han JY, Baik JJ (2008) A theoretical and numerical study of urban heat island-induced circulation and convection. J Atmos Sci 65:1859–1877CrossRefGoogle Scholar
  16. Han JS, Moon KJ, Lee SJ, Kim YJ, Ryu SY, Cliff SS, Yi SM (2006) Size-resolved source apportionment of ambient particles by positive matrix factorization at Gosan background site in East Asia. Atmos Chem Phys 6:211–223CrossRefGoogle Scholar
  17. He GX, Yu CWF, Lu C, Deng QH (2013) The influence of synoptic pattern and atmospheric boundary layer on PM10 and urban heat island. Indoor Built Environ 22(5):796–807CrossRefGoogle Scholar
  18. Henschel S, Atkinson R, Zeka A, Tertre AL, Analitis A, Katsouyanni K, Chanel O, Pascal M, Forsberg B, Medina S, Goodman PG (2012) Air pollution interventions and their impact on public health. Int J Public Health 57(5):757–768CrossRefGoogle Scholar
  19. Huang LM, Chang TS (2012) Exploration of simple estimation method of mixing layer height. J Soil Water Conserv 44(3):231–250 (in Chinese)Google Scholar
  20. Jonsson PR, Eliasson I, Lindgren ES (2004) Suspended particulate matter and its relations to the urban climate in Dar es Salaam, Tanzania. Atmos Environ 38(25):4175–4181CrossRefGoogle Scholar
  21. Kassomenos PA, Kelessis A, Paschalidou AK, Petrakakis M (2011) Identification of sources and processes affecting particulate pollution in Thessaloniki. Atmos Environ 45:7293–7300CrossRefGoogle Scholar
  22. Khan MF, Shirasuna Y, Hirano K, Masunaga S (2010) Characterization of PM2.5, PM2.5–10 and PM >10 in ambient air, Yokohama, Japan. Atmos Res 96(1):159–172CrossRefGoogle Scholar
  23. Kim YH, Baik JJ (2005) Spatial and temporal structure of the urban heat island in Seoul. J Appl Meteorol 44:591–605CrossRefGoogle Scholar
  24. Koçak M, Mihalopoulos N, Kubilay N (2007) Contributions of natural sources to high PM10 and PM2.5 events in the eastern Mediterranean. Atmos Environ 41(18):3806–3818CrossRefGoogle Scholar
  25. Lai LW (2015) Fine particulate matter events associated with synoptic weather patterns, long-range transport paths and mixing height in the Taipei Basin, Taiwan. Atmos Environ 113:50–62CrossRefGoogle Scholar
  26. Li MM, Song Y, Mao ZC, Liu MX, Huang X (2016) Impacts of thermal circulations induced by urbanization on ozone formation in the Pearl River Delta region, China. Atmos Environ 127:382–392CrossRefGoogle Scholar
  27. Lin CY, Chen F, Huang JC, Chen WC, Liou YA, Chen WN, Liu SC (2008) Urban heat island effect and its impact on boundary layer development and land-sea circulation over northern Taiwan. Atmos Environ 42(22):563–5649CrossRefGoogle Scholar
  28. Lin PF, Chang PL, Jou BJD, Wilson JW, Roberts RD (2012) Objective prediction of warm season afternoon thunderstorms in northern Taiwan using a fuzzy logic approach. Weather Forecast 27(5):1178–1197CrossRefGoogle Scholar
  29. Liu HP, Chan JCL (2002) An investigation of air-pollutant patterns under sea-land breezes during a severe air-pollution episode in Hong Kong. Atmos Environ 36(4):591–601CrossRefGoogle Scholar
  30. Liu KY, Wang ZF, Hsiao LF (2002) A modeling of the sea breeze and its impacts on ozone distribution in northern Taiwan. Environ Model Softw 17(1):2127Google Scholar
  31. Liu SH, Liu ZX, Li J, Wang YC, Ma YJ, Sheng L, Liu HP, Liang FM, Xin GJ, Wang JH (2009) Numerical simulation for the coupling effect of local atmospheric circulations over the area of Beijing, Tianjin and Hebei Province. Science in China Series D: Earth Science 52(3):382–392CrossRefGoogle Scholar
  32. Lu MM, Cho YM, Lee SY, Lee CT, Lin YC (2012) Climate variations in Taiwan during 1911–2009. Atmospheric Science 40(3):297–321 (in Chinese)Google Scholar
  33. McClave JT, Sincich T (2003) Statistics 9th Ed. Prentice-Hall Inc, Upper Saddle River, NJGoogle Scholar
  34. Miao S, Li Q, Wang Y (2009) An observational and modelling study of characteristics of urban heat island and boundary layer structures in Beijing. J Appl Meteorol Clim 48:484–501CrossRefGoogle Scholar
  35. Morris CJG, Simmonds I, Plummer N (2001) Quantification of the influences of wind and cloud on the nocturnal urban heat island of a large city. J Appl Meteorol 40:169–182CrossRefGoogle Scholar
  36. Navidi WC (2008) Statistics for engineers and scientists, 2th edn. McGraw-Hill Higher Education, Boston 901pGoogle Scholar
  37. Oke TR (1973) City size and the urban heat island. Atmos Environ 7:769–779CrossRefGoogle Scholar
  38. Oke TR (1982) The energetic basis of the urban heat island. Quarterly J R Meterol Soc 108:1–24Google Scholar
  39. Pandey P, Kumar D, Prakash A, Masih J, Singh M, Kumar S, Jain VK, Kumar K (2012) A study of urban heat island and its association with particulate matter during winter months over Delhi. Sci Total Environ 414:494–507CrossRefGoogle Scholar
  40. Querol X, Alastuey A, Rodriguez S, Plana F, Ruiz CR, Cots N, Massagué G, Puig O (2001) PM10 and PM2.5 source apportionment in the Barcelona metropolitan area, Catalonia, Spain. Atmos Environ 35(36):6407–6419CrossRefGoogle Scholar
  41. Sen Roy S, Singh RB, Kumar M (2011) An analysis of local spatial temperature patterns in the Delhi metropolitan area. Phys Geogr 32(2):114–138CrossRefGoogle Scholar
  42. Taiwan Central Weather Bureau (CWB) (2016a) Pacific high-pressure. CWB meteorological stations. http://www.cwb.gov.tw/V7/climate/climate_info/taiwan_climate/taiwan_5/taiwan_5_3.html. Accessed 13 May 2016
  43. Taiwan Central Weather Bureau (CWB) (2016b) Information of the CWB meteorological stations. http://e-service.cwb.gov.tw/wdps/obs/state.htm. Accessed 12 May 2016
  44. Taiwan Environmental Protection Agency (EPA) (2016) Air quality monitoring network (TAQMN). http://taqm.epa.gov.tw/taqm/tw/SiteListInMap.aspx. Accessed 12 May 2016
  45. Tam WW, Wong TW, Wong AH, Hui DS (2012) Effect of dust storm events on daily emergency admissions for respiratory diseases. Respirology 17(1):143–148CrossRefGoogle Scholar
  46. Tecer LH, Alagha O, Karaca F, Tuncel G, Eldes N (2008) Particulate matter (PM2.5, PM10-2.5, and PM10) and children’s hospital admissions for asthma and respiratory system diseases: a bidirectional case-crossover study. J Toxicol Environ Health 71(8):512–520CrossRefGoogle Scholar
  47. Tsai HH, Yuan CS, Hung CH, Lin C, Lin YC (2011) Influence of sea-land breezes on the tempospatial distribution of atmospheric aerosols over coastal region. J Air Waste Manage Assoc 61(4):358–376CrossRefGoogle Scholar
  48. UN (2014) World urbanization prospects: the 2014 revision—highlights, statistical papers—United Nations (Ser. A), Population and Vital Statistics Report, UNGoogle Scholar
  49. Wang SY, Chen TC (2008) Measuring East Asian summer monsoon rainfall contributions by different weather systems over Taiwan. J Appl Meteorol Climatol 47:2068–2080CrossRefGoogle Scholar
  50. Wilks DS (2011) Statistical methods in the atmospheric sciences, 3rd edn. Elsevier Inc, OxfordGoogle Scholar

Copyright information

© Springer-Verlag Wien 2016

Authors and Affiliations

  1. 1.Centre for General EducationNational Taipei University of BusinessTaipeiRepublic of China

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