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Korean Meteorological Society (한국기상학회)
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Methodology for Producing Representative Meteorological Fields for Urban Dispersion Modeling

도심 확산 모의를 위한 대표 기상장 산출 방안

  • Damwon So (Department of Atmospheric Science, Kongju National University) ;
  • Joowan Kim (Department of Atmospheric Science, Kongju National University) ;
  • Ju-Wan Woo (Department of Atmospheric Science, Kongju National University) ;
  • Sang-Hyun Lee (Department of Atmospheric Science, Kongju National University)
  • 서담원 (공주대학교 대기과학과) ;
  • 김주완 (공주대학교 대기과학과) ;
  • 우주완 (공주대학교 대기과학과) ;
  • 이상현 (공주대학교 대기과학과)
  • Received : 2024.06.25
  • Accepted : 2024.09.03
  • Published : 2024.11.30
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Abstract

To simulate dispersion of atmospheric pollutants in urban areas, representative meteorological fields were calculated by classifying various meteorological data based on surface wind direction/speed and atmospheric stability obtained from the 5-year (2015~2019) record of ERA5 reanalysis data. Wind direction and speed were divided into 16 and 4 categories, respectively. Pasquill-Gifford (P-G) method is used to classify atmospheric stability into 3 categories for surface meteorological fields and Bulk Richardson number is used to classify atmospheric stability into 3 categories for vertical profiles. The atmospheric profiles of temperature, humidity, wind speed, and potential temperature for a given point (Seoul in this study) were grouped into the 192 (16 × 4 × 3) categories for each season. The classified atmospheric profiles represent the similarity of the group relatively well. These profiles can serve as input data for atmospheric dispersion modeling under various wind and stability conditions, providing more accurate and improved results. This approach ensures that vertical profiles accurately reflect the properties of surface data, enhancing correlation and reliability in simulation outcomes.

Keywords

Acknowledgement

본 연구는 원자력안전위원회의 재원으로 한국원자력안전재단의 지원을 받아 수행한 원자력안전연구사업의 연구결과입니다(No. 2105036).

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