Journal of the Korean Association of Geographic Information Studies (한국지리정보학회지)

The Korean Association of Geographic Information Studies (한국지리정보학회)
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Impact of the Local Surface Characteristics and the Distance from the Center of Heat Island to Suburban Areas on the Night Temperature Distribution over the Seoul Metropolitan Area

수도권 열섬 중심으로부터 교외까지의 거리 및 국지적 지표특성이 야간 기온분포에 미치는 영향

  • Yi, Chae-Yeon (Weather Information Service Engine Project, Center for Atmospheric Science & Earthquake Research) ;
  • Kim, Kyu-Rang (Applied Meteorology Research Division, National Institute of Meteorological Research) ;
  • An, Seung-Man (Department of Advanced Technology Fusion, Konkuk University) ;
  • Choi, Young-Jean (Weather Information Service Engine Project, Center for Atmospheric Science & Earthquake Research)
  • 이채연 (기상기술개발원 차세대도시농림융합기상사업단) ;
  • 김규랑 (국립기상연구소 응용기상연구과) ;
  • 안승만 (건국대학교 신기술융합과) ;
  • 최영진 (기상기술개발원 차세대도시농림융합기상사업단)
  • Received : 2013.11.02
  • Accepted : 2014.02.17
  • Published : 2014.03.31
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Abstract

In order to understand the impacts of surface characteristics and the distance from the urban heat island center to suburban areas on the mean night time air temperature, we analyzed GIS and AWS observational data. Spatial distributions of mean night time air temperature during the summer and winter periods of 2004-2011(six years) were utilized. Results show that the temperature gradients were different by distance and direction. We found high correlation between mean night-time air temperature and artificial land cover area within 1km and 200m radii during both summer(R=0.84) and winter(R=0.78) seasons. Regression models either from 1km and 200m land surface data explained the distribution of night-time temperature equally well if the input data had sufficient resolution with detailed attribute including building area and height.

서울과 주변을 포함하는 수도권에서 발생하는 열섬현상의 특성들을 정량적으로 이해하기 위하여 GIS 및 AWS 관측 자료들을 이용하여 여름과 겨울 야간 기온분포의 공간 경향 그래프를 작성하였다. 또한 기온 변동성에 영향을 미치는 요인들과 31개 AWS 지점들의 야간 평균기온과의 상관성을 분석을 하였다. 그 결과, 야간 평균기온(2004년~2011년) 최고지점과 최저지점의 차이는 여름 $4.5^{\circ}C$, 겨울 $7.1^{\circ}C$ 임을 확인하였다. AWS 지점들 주변의 국지적 지표특성과 기온과의 상관성 분석 결과, 지점별 야간 평균 기온과 반경 1km 이내의 인공피복의 상관계수가 여름(0.84)과 겨울(0.78) 모두에서 높게 나타나 지표면 피복이 중규모적인 도시 열환경 관리에 있어 다른 요인들보다 더 큰 영향을 주는 요인임을 확인하였다. 한편 수도권 야간기온에 대한 회귀모형을 변수선택법을 이용하여 개발한 결과 1km 규모에서 보다 200m 규모에서 상세한 지표특성 변수가 선택됨을 알 수 있었는데, 규모에 따른 모형의 설명력에는 큰 차이가 없었다. 따라서 200m 정도의 상세한 지표특성 자료를 이용하는 기후분석 모델의 구현이 가능함을 알 수 있었으며, 모델의 설명력은 1km 수준으로 분석하였을 때와 비슷한 수준인 57%(겨울)~72%(여름)이었다.

Keywords

References

  1. Ahn, J.S., J.D. Hwang, M.H. Park and Y.S. Suh. 2012. Estimation of urban heat island potential based on land cover type in Busan using Landsat-7 ETM+ and AWS data. Journal of the Korean Association of Geographic Information Studies (안지숙, 황재동, 박명희, 서영상. 2012. Landsat-7 ETM+ 영상과 AWS 자료를 이용한 부산의 토지피복에 따른 여름철 도시열섬포텐셜 산출. 한국지리정보학회 15(4):65-77). https://doi.org/10.11108/kagis.2012.15.4.065
  2. An, S.M., B.S. Kim, H.Y. Lee, C.H. Kim, C.Y. Yi, J.H. Eum and J.H. Woo. 2013. Three-dimensional point cloud based sky view factor analysis in complex urban settings. International Journal of Climatology, DOI:10.1002/joc.3868.
  3. Bhang, K.J. and S.S. Park. 2009. Evaluation of the surface temperature variation with surface settings on the urban heat island in Seoul, South Korea using Landsat-7 ETM+ and SPOT. IEEE Geoscience and Remote Sensing Letters 6(4):708-712. https://doi.org/10.1109/LGRS.2009.2023825
  4. Bhang, K.J. and S.S. Park. 2010. Analysis of the land surface temperature by the anthropogenic heat in the urban area of Seoul : an example in application of satellite images. Journal of The Korean Society of Environmental Impact Assessment 19(4):397-407 (방건준, 박석순. 2010. 서울 도심지의 인본열에 의한 지표온도 분석 : 위성영상 적용 사례. 환경영향평가학회지 19(4):397-407).
  5. Bounoua, L., A. Safia, J. Masek, C. Peters-Lidard and L.M. Imhoff. 2009. Impact of urban growth on surface climate : a case study in Oran, Algeria. Journal of Applied Meteorology and Climatology 48:217-231. https://doi.org/10.1175/2008JAMC2044.1
  6. Brandsma, T. and D. Wolters. 2012. Measurement and statistical modeling of the urban heat island of the city of Utrecht(the Netherlands). Journal of Applied Meteorology and Climatology 51:1046-1060. https://doi.org/10.1175/JAMC-D-11-0206.1
  7. Chow, W.T.L. and B.M. Svoma. 2011. Analyses of nocturnal temperature cooling-rate response to historical local-scale urban land-use/land cover change. Journal of Applied Meteorology and Climatology 50:1872-1883. https://doi.org/10.1175/JAMC-D-10-05014.1
  8. Chun, B.S. and J.-M. Guldmann. 2012. Spatial analysis of the urban heat island using a 3-D city model. Journal of Korea Spatial Information Society 20(4):1-16 (전범석, 장-미셀 굴드만. 2012. 3차원 도시모형을 이용한 도시열섬의 공간분석. 한국공간정보학회지 20(4):1-16).
  9. Fung, W.Y., K.S. Lam, J. Nichol and M.S. Wong. 2009. Derivation of nighttime urban air temperatures using a satellite thermal image. Journal of Applied Meteorology and Climatology 48:863-872. https://doi.org/10.1175/2008JAMC2001.1
  10. Goldbach, A. and W. Kuttler. 2012. Quantification of turbulent heat fluxes for adaptation strategies within urban planning. International Journal of Climatology 33(1):143-159.
  11. Klysik, K. and K. Fortuniak. 1999. Temporal and spatial characteristics of the urban heat island characteristics of the urban heat island of Lodz, Poland. Atmospheric Environment 33(24-25):3885-3895. https://doi.org/10.1016/S1352-2310(99)00131-4
  12. Kuttler, W., S. Weber, J. Schonnefeld and A. Hesselschwerdt. 2007. Urban/rural atmospheric water vapour pressure differences and urban moisture excess in Krefeld, Germany. International Journal of Climatology 27(14):2005–2015. https://doi.org/10.1002/joc.1558
  13. Lee, S.H., C.K. Song, J.J. Baik and S.U. Park. 2008. Estimation of anthropogenic heat emission in the Gyeong-in region of Korea. Theoretical and Applied Climatology 96(3-4):291-303.
  14. Lengfeld, K. and F. Ament. 2012. Observing local-scale variability of near-surface temperature and humidity using a wireless sensor network. Journal of Applied Meteorology and Climatology 51:30-41. https://doi.org/10.1175/JAMC-D-11-025.1
  15. Montavez, J.P., A. Rodriguez and J.I. Jimenez. 2000. A study of the urban heat island of Granada. International Journal of Climatology 20:899-911. https://doi.org/10.1002/1097-0088(20000630)20:8<899::AID-JOC433>3.0.CO;2-I
  16. Orlanski, I. 1975. A rational subdivision of scales for atmospheric processes. Bulletin of the American Meteorological Society 56(5):527-530.
  17. Park, S.K. and J.H. Kim. 2011. A study on changes in local meteorological fields due to a change in land use in the lake Shihwa region using synthetic land cover data and high-resolution mesoscale model. Korean Meteorological Society Journal of Atmosphere 21(4):405-414 (박선기, 김지희. 2011. 합성토지피복자료와 고해상도 중규모 모형을 이용한 시화호 지역의 토지이용 변화에 따른 주변 기상장 변화 연구. 한국기상학회 대기지 21(4):405-414).
  18. Roth, M., T.R. Oke. and W.J. Emery. 1989. Satellite-derived urban heat islands from three coastal cities and the urban climatology. International Journal of Remote Sensing 10(11):1699–1720. https://doi.org/10.1080/01431168908904002
  19. Ryu, Y.H. and J.J. Baik. 2012. Quantitative analysis of factors contributing to urban heat island intensity. Journal of Applied Meteorology and Climatology 51:842-854. https://doi.org/10.1175/JAMC-D-11-098.1
  20. Stewart, I.D. and T.R. Oke. 2012. Local climate zones for urban temperature studies. Bulletin of the American Meteorological Society 93(12):1879–1900. https://doi.org/10.1175/BAMS-D-11-00019.1
  21. Wong, M.S., J. Nichol and E. Ng. 2011. A study of the“wall effect”caused by proliferation of high-rise buildings using GIS techniques. Landscape and Urban Planning 102:245–253. https://doi.org/10.1016/j.landurbplan.2011.05.003
  22. Yague, C., Zurita, E. and Martinez, A. 1991. Statistical analysis of the Madrid urban heat island. Atmospheric Environment 25B:327-332.
  23. Yi, C.Y. 2005. Analysis of urban air pollution changes by using GIS and remote sensing techniques. Master Thesis, Univ. of Hanyang Seoul, Korea. 75pp (이채연. 2005. GIS와 원격탐사기법을 이용한 도시 대기오염 변화에 관한 연구. 한양대학교 대학원 석사학위논문. 75쪽).
  24. Yi, C.Y., J.H. Eum, Y.J. Choi, K.R. Kim, D. Scherer, U. Fehrenbach and G.H. Kim. 2011. Development of Climate Analysis Seoul(CAS) maps based on landuse and meteorogical model. Journal of the Korean Association of Geographic Information Studies 14(1):12-25 (이채연, 엄정희, 최영진, 김규랑, Dieter Scherer, Ute Fehrenbach. 2011. 토지이용도와 기상모델을 이용한 서울기후분석(CAS) 지도 개발. 한국지리정보학회지 14(1):12-25). https://doi.org/10.11108/kagis.2011.14.1.012
  25. Yi, C.Y., K.R. Kim, Y.J. Choi, H.Y. Won and D. Scherer. 2012a. Nocturnal surface cooling and cold air transport analysis based on high density observation : a case study of Eunpyeong new town in Seoul. Journal of the Korean Association of Geographic Information Studies 15(4): 124-137 (이채연, 김규랑, 최영진, 원혜영, Dieter Scherer. 2012a. 고밀도 관측자료를 이용한 야간 지면냉각과 찬공기 이동 분석 : 서울은평구 뉴타운 사례. 한국지리정보학회지 15(4):124-137). https://doi.org/10.11108/kagis.2012.15.4.124
  26. Yi, C.Y., S.M. An, K.R. Kim, Y.J. Choi and D. Scherer. 2012b. Improvement of air temperature analysis by precise spatial data on a local-scale : a case study of Eunpyeong new town in Seoul. Journal of the Korean Association of Geographic Information Studies 15(1):144-158 (이채연, 안승만, 김규랑, 최영진, Dieter Scherer. 2012b. 상세 공간정보를 활용한 국지기온 분석 개선 : 서울 은평구 뉴타운을 사례로. 한국지리정보학회지 15(1):144-158). https://doi.org/10.11108/kagis.2012.15.1.144
  27. Zaksek, K., K. Ostir and Z. Kokalj. 2011. Sky-view factor as a relief visualization technique. Remote Sensing 3(2):398-415. https://doi.org/10.3390/rs3020398

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