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논문 기본 정보

자료유형
학술저널
저자정보
임윤규 (국립기상과학원) 김규랑 (국립기상과학원) 조창범 (국립기상과학원) 김미진 (국립기상과학원) 최호성 (국립기상과학원) 한매자 (국립기상과학원) 오인보 (울산대학교) 김백조 (국립기상과학원)
저널정보
한국기상학회 대기 대기 Vol.25 No.2
발행연도
2015.6
수록면
221 - 233 (13page)

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Pollen is closely related to health issues such as allergenic rhinitis and asthma as well as intensifying atopic syndrome. Information on current and future spatio-temporal distribution of allergenic pollen is needed to address such issues. In this study, the Community Multiscale Air Quality Modeling (CMAQ) was utilized as a base modeling system to forecast pollen dispersal from oak trees. Pollen emission is one of the most important parts in the dispersal modeling system. Areal emission factor was determined from gridded areal fraction of oak trees, which was produced by the analysis of the tree type maps (1:5000) obtained from the Korea Forest Service. Daily total pollen production was estimated by a robust multiple regression model of weather conditions and pollen concentration. Hourly emission factor was determined from wind speed and friction velocity. Hourly pollen emission was then calculated by multiplying areal emission factor, daily total pollen production, and hourly emission factor. Forecast data from the KMA UM LDAPS (Korea Meteorological Administration Unified Model Local Data Assimilation and Prediction System) was utilized as input. For the verification of the model, daily observed pollen concentration from 12 sites in Korea during the pollen season of 2014. Although the model showed a tendency of over-estimation in terms of the seasonal and daily mean concentrations, overall concentration was similar to the observation. Comparison at the hourly output showed distinctive delay of the peak hours by the model at the ‘Pocheon’ site. It was speculated that the constant release of hourly number of pollen in the modeling framework caused the delay.

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Abstract
1. 서론
2. 연구방법
3. 연구결과
4. 결론
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