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Prediction of Future Climate Change Using an Urban Growth Model in the Seoul Metropolitan Area

도시성장모델을 적용한 수도권 미래 기후변화 예측

  • Kim, Hyun-Su (Division of Earth Environmental System, Pusan National University) ;
  • Jeong, Ju-Hee (Division of Earth Environmental System, Pusan National University) ;
  • Oh, In-Bo (Environmental Health Center, University of Ulsan) ;
  • Kim, Yoo-Keun (Division of Earth Environmental System, Pusan National University)
  • 김현수 (부산대학교 지구환경시스템학부) ;
  • 정주희 (부산대학교 지구환경시스템학부) ;
  • 오인보 (울산대학교 환경보건센터) ;
  • 김유근 (부산대학교 지구환경시스템학부)
  • Received : 2010.04.29
  • Accepted : 2010.08.11
  • Published : 2010.08.31

Abstract

Future climate changes over the Seoul metropolitan area (SMA) were predicted by the Weather Research and Forecasting (WRF) model using future land-use data from the urban growth model (SLEUTH) and forecast fields from ECHAM5/MPI-OM1 GCM (IPCC scenario A1B). Simulations from the SLEUTH model with GIS information (slope, urban, hill-shade, etc.) derived from the water management information system (WAMIS) and the intelligent transportation systems-standard nodes link (ITS-SNL) showed that considerable increase by 17.1% in the fraction of urban areas (FUA) was found within the SMA in 2020. To identify the effects of the urban growth on the temperature and wind variations in the future, WRF simulations by considering urban growth were performed for two seasons (summer and winter) in 2020s (2018~2022) and they were compared with those in the present (2003~2007). Comparisons of model results showed that significant changes in surface temperature (2-meter) were found in an area with high urban growth. On average in model domain, positive increases of $0.31^{\circ}C$ and $0.10^{\circ}C$ were predicted during summer and winter, respectively. These were higher than contributions forced by climate changes. The changes in surface temperature, however, were very small expect for some areas. This results suggested that surface temperature in metropolitan areas like the SMA can be significantly increased only by the urban growth during several decades.

Keywords

References

  1. 국토해양부, 서울특별시, 인천광역시, 경기도(2009) 2020년 수도권 광역도시계획 - '09. 6. 변경사항 반영-, 129pp.
  2. 기상연구소(2004) 기후변화협약대응 지역기후 시나리오 산출기술개발(III), 기상연구소 연구보고서 MR040-C03, 510pp.
  3. Ahn, J.B. and Y.M. Cha (2005) A comparison study of corrections using artificial neural network and multiple linear regression for dynamically downscaled winter temperature over South Korea, Asia-Pacific Journal of Atmospheric Sciences, 41(3), 401-413. (in Korean with English abstract)
  4. ARW(2008) Weather Research & Forecasting Version 3 Modeling System user's Guide, Mesoscale & Microscale Meteorology Division, National Center for Atmospheric Research.
  5. Bacci, P. and M. Maugeri (1992) The urban heat island of Milan. Il Nuovo Cimento, 15C, 417-424.
  6. Choi, B.C., J.Y. Kim, D.G. Lee, and K. Jan (2007) Long-term trends of daily maximum and minimum temperatures for the major cities of South Korea and their implications on human health, Atmosphere, 17(2), 171-183. (in Korean with English abstract)
  7. Clarke, K.C. and L. Gaydos (1997) A self-modifying cellular automaton model of historical urbanization in the San Francisco Bay area, Environment and Planning B: Planning and Design.
  8. Dickinson, R.E., M.E. Ronald, G. Filippo, and T.B. Gary (2004) A regional climate model for the western United States, Climate Change, 15(3), 383-422.
  9. Folland, C.K., N.A. Rayner, S.J. Brown, T.M. Smith, S.S.P. Shen, D.E. Parker, I. Macadam, P.D. Jones, R.N. Jones, N. Nicholls, and D.M.H. Sexton (2001) Global temperature change and its uncertainties since 1861, Geophys. Res. Lett., 28(13), 2621-2624. https://doi.org/10.1029/2001GL012877
  10. Gallo, K.P., D.R. Easterling, and T.C. Peterson (1996) The influence of land use/land cover on climatological values of the diurnal temperature range, Journal of Climate, 9, 2941-2944. https://doi.org/10.1175/1520-0442(1996)009<2941:TIOLUC>2.0.CO;2
  11. Giorgi, F. and M.R. Marinucci (1996) An investigation of the sensitivity of simulated precipitation to model resolution and its implications for climate studies, Mon. Weather Rev., 124, 148-156. https://doi.org/10.1175/1520-0493(1996)124<0148:AIOTSO>2.0.CO;2
  12. Hansen, J., M. Sato, R. Ruedy, K. LO, D.W. Lea, and M. Medina-Elizade (2006) Global temperature change, Proc. Natl. Acad. Sci. U.S.A., 103(39), 14288-14293. https://doi.org/10.1073/pnas.0606291103
  13. Intergovernmental Panel on Climate Change (IPCC) (2007) Climate Change 2007: Synthesis Report. Contribution of Working Group I, II and III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Core Writing Team, Edited by R.K. Pachauri and A. Reisinger, 104pp.
  14. Jantz, C.A., S.J. Goetz, and M.K. Shelley (2003) Using the SLEUTH urban growth model to simulate the impacts of future policy scenarios on urban land use in the Baltimore/Washington metropolitan area, Environment and Planning B, 31, 251-271.
  15. Jeong, J.H. and Y.K. Kim (2009) The application of high-resolution land cover and its effects on near-surface meteorological fields in two different coastal areas, J. Korean Soc. Atmos. Environ., 25(5), 432-449. (in Korean with English abstract) https://doi.org/10.5572/KOSAE.2009.25.5.432
  16. Jeong, J.J., D.Y. Han, Y.I. Kim, and J.W. Lee (2001) Cellular automata based urban growth prediction for Seoul metropolitan area, Journal of Geographic Information System Association of Korea, 9(3), 34-48. (in Korean with English abstract)
  17. Jones, R.G., J.M. Murphy, and M. Noguer (1995) Simulation of climate change over europe using a nested regional-climate model. I: Assessment of control climate, including sensitivity to location of lateral boundaries, Quarterly Journal of the Royal Meteorological Society, 121(526), 1413-1449.
  18. Kim, J.I., G.W. Hwang, C.H. Yeo, and H.W. Chung (2007) Modeling future urban growth and its application: The integrated approach, Journal of the Korea Planners Association, 42(2), 31-48. (in Korean with English abstract)
  19. Kim, J.Y., S.K. Lee, and S.H. Park (2004) Urban growth simulation modeling using a decision tree method for Inchon metropolitan area, Journal of the Korea Planners Association, 39(4), 31-44. (in Korean with English abstract)
  20. Kim, S.J. (2007) Effects of various conditions for numerical analysis on urban climate, J. of Architectural Institute of Korea, 6, 297-304. (in Korean with English abstract)
  21. Kim, Y.K., H. Kim, J.H. Jeong, and S.K. Song (2010) Estimation of air temperature changes due to future urban growth in the Seoul metropolitan area, Journal of the Environmental Sciences, 19(2), 237-245. (in Korean with English abstract) https://doi.org/10.5322/JES.2010.19.2.237
  22. Kim, Y.K., Y.S. Moon, I.B. Oh, and Y.K. Lim (2002) A numerical simulation for thermal environments by the modification of land-use in Busan, J. Korean Soc. Atmos. Environ., 18(6), 453-463. (in Korean with English abstract)
  23. Leung, L.R., Y. Qian, J. Han, and J.O. Roads (2003) Intercomparison of global reanalysis and regional simulations of cold season water bugets in the Western United States, J. Hydrometeorol., 4, 1067-1087. https://doi.org/10.1175/1525-7541(2003)004<1067:IOGRAR>2.0.CO;2
  24. Palmer, T.N. (1999) A nonlinear dynamical perspective on climate prediction, Journal of Climate, 12, 575-591. https://doi.org/10.1175/1520-0442(1999)012<0575:ANDPOC>2.0.CO;2
  25. Solecki, W.D. and C. Oliveri (2004) Downscaling climate change scenarios in an urban land use change model, Journal of Environmental management, 72, 105-115. https://doi.org/10.1016/j.jenvman.2004.03.014
  26. Stott, P.A., D.A. Stone, and M.R. Allen (2004) Human contribution to the European heatwave of 2003, Nature, 432, 610-614. https://doi.org/10.1038/nature03089
  27. Tett, S.F.B., P.A. Stott, M.R. Allen, W.J. Ingram, and J.F.B. Mitchell (1999) Causes of twentieth century temperature change near the Earth's surface, Nature, 399, 569-572. https://doi.org/10.1038/21164
  28. Wolfram, S. (1984) Universality and complexity in cellular automata, PhysicaD, 10, 1-35. https://doi.org/10.1016/0167-2789(84)90245-8
  29. Xue, Y., R. Vasic, Z. Janjic, F. Mesinger, and K.E. Mitchell (2007) Assessment of dynamic downscaling of the continental U.S. regional climate using the Eta/SSiB regional climate model, Journal of Climate, 20, 4172-4193. https://doi.org/10.1175/JCLI4239.1

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