Study on the Variation of Nighttime Cooling Rate Associated with Urbanization

도시화에 의한 야간 대기 냉각율 변화에 관한 연구

  • Lee, Soon-Hwan (BK21 Coastal Environment System School, Pusan National University) ;
  • Park, Myung-Hee (Department of Environment Studies, Keimyung University) ;
  • Kim, Hea-Dong (Department of Environment Studies, Keimyung University)
  • 이순환 (부산대학교 BK21 연안환경시스템연구사업단) ;
  • 박명희 (계명대학교 지구환경보전학과) ;
  • 김해동 (계명대학교 지구환경보전학과)
  • Published : 2008.02.29


In order to clarify the urbanization intensity of Daegu Metropolitan and its characteristics, comparative study on the variation of the cooling rate of two different sites was carried out using observation data for 40 years by Korea Meteorological Adminstration. Daegu Metropolitan and Chupungnyung represent well urbanized and rural areas, respectively. In comparison with Chupungnyung, yearly mean temperature at Daegu Metropolitan increases rapidly and especially the differences of minimum temperature increasing rate during 40 years becomes greater. These differences of regional warming are caused by the different urbanization intensity between two sites. And the impact of anthropogenic heat due to urbanization should be stronger in nighttime than in daytime. Sensible heat advection by regional wind during 6 hours from 18 LST contributes to atmospheric cooling. For this reason wind speed is in proportion to cooling rate of atmosphere. However, wind after 24 LST induces the warm air advection and makes decrease the cooling rate in urban area. Although the cooling rates between Daegu Metropolitan and Chupungnyung are some different, the variation tendencies of cooling rate of two site are almost same. Therefore atmospheric cooling rate in nighttime tends to be associated with the intensity of wind speed.


Urbanization;Cooling rate;Anthropogenic heat;Daegu;Chupungnyung


  1. Fearnside, P. (1995) Amazonian deforestation and global warming: carbon stocks in vegetation replacing Brazil's Amozon forest, Forest Ecology and Management, 80, 21-34
  2. Ohasi, Y. and H. Kida (2002) Effects of mountains and urban areas on daytime local circulations in the Osaka and Kyoto regions, Journal of the Meteorological Society of Japan, 80, 539-560
  3. 이순환, 이화운, 김유근 (2002) 복잡지형에서 도시화에 따른 대기확산에 관한 수치시뮬레이션, 한국대기환경 학회지, 18(2), 67-83
  4. 김해동, 이송옥, 구현숙(2003) 대규모 주택단지 내의 인공구 조물에 의한 승온화 효과에 관한 연구, 한국환경과학회지, 12(7), 705-714
  5. Nakazato, T. (1998) Heating and cooling degree days, Meteorology, 42, 46-47 (In Japanese)
  6. Karl, T. and K. Trenberth (2003) Modern global climate change, Science, 302, 1719-1723
  7. Kuttler, W., D. Dutemeyer, and A. Barlag (1998) Influence of regional and local winds on urban ventilation in Cologne, Meteorological Zeitschrift, 7, 77-97
  8. Lee, S.-H. and H.-D. Kim (2008) Effects of regional warming due to urbanization on daytime local circulations in a complex basin of Daegu Metropolitan Area, Korea, Journal of Applied Meteorology and Climate (now print)
  9. Ichinose, T., K. Shimodozono, and K. Hanaki (1999) Impacts of anthropogenic heat on urban climate in Tokyo, Atmospheric Environment, 33, 3897-3909
  10. 부경온, 전영신, 박지용, 조하만, 권원태 (1999) 자동기상관측 장치자료를 이용한 서울의 기온수평분포 분석, 한국기상학회지, 35(3), 335-343
  11. 이명인, 강인식 (1997) 한반도 기온변동성과 온난화, 한국기상학회지, 33(3), 429-444
  12. Plattner, G., F. Joos, T.F. Stocker, and O. Marchal (2001) Feedback mechanisms and sensitivities of ocean carbon uptake global warming, Tellus, 53, 564- 592
  13. 윤일희, 민경덕, 김경익(1994) 대구지역 기상특성 및 대기확 산모델의 개발: II. 열섬현상에 관한 사례연구, 한국기상학회지, 30(2), 303-313
  14. Mikami, T. (2005) The abnormal climate in Tokyo, Yosensha Press, 95pp
  15. 안지숙, 김해동 (2006) 대구지역의 기상조건에 따른 도시열 섬강도의 계절별 변화 특성, 한국환경과학회지, 15(6), 527-532
  16. Wigley, T. and S. Raper (2001) Interpretation of high projection for global warming, Science, 293, 451-454
  17. Lee, S.-H. and F. Kimura (2001) Comparative studies in the local circulations induced by land-use and by topography, Boundary Layer Meteorology, 101, 157- 182
  18. Oke, T. (1978) Boundary layer climate, John Wiley and Sons, 324pp

Cited by

  1. Analysis of Meteorological and Radiation Characteristics using WISE Observation Data vol.39, pp.1, 2018,