Improvement of Vegetation Cooling Effects in BioCAS for Better Estimation of Daily Maximum Temperature during Heat Waves - In Case of the Seoul Metropolitan Area -

식생냉각효과 적용을 통한 BioCAS의 폭염기간 일 최고기온 추정 개선 - 서울 및 수도권지역을 중심으로 -

Lee, Hankyung;Yi, Chaeyeon;Kim, Kyu Rang;Cho, Changbum

  • Received : 2019.03.14
  • Accepted : 2019.05.31
  • Published : 2019.06.30


On the urban scale, Micro-climate analysis models for urban scale have been developed to investigate the atmospheric characteristics in urban surface in detail and to predict the micro-climate change due to the changes in urban structure. BioCAS (Biometeorological Climate Impact Assessment System) is a system that combines such analysis models and has been implemented internally in the Korea Meteorological Administration. One of role in this system is the analysis of the health impact by heat waves in urban area. In this study, the vegetation cooling models A and B were developed and linked with BioCAS and evaluated by the temperature drop at the vegetation areas during ten selected heat-wave days. Smaller prediction errors were found as a result of applying the vegetation cooling models to the heat-wave days. In addition, it was found that the effects of the vegetation cooling models produced different results according to the distribution of vegetation area in land cover near each observation site - the improvement of the model performance on temperature analysis was different according to land use at each location. The model A was better fitted where the surrounding vegetation ratio was 50% or more, whereas the model B was better where the vegetation ratio was less than 50% (higher building and impervious areas). Through this study, it should be possible to select an appropriate vegetation cooling model according to its fraction coverage so that the temperature analysis around built-up areas would be improved.


BioCAS;heat-wave days;vegetation cooling effect;tall vegetation;urban climate


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Grant : 기상업무 지원기술개발연구

Supported by : 국립기상과학원