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http://dx.doi.org/10.5322/JES.2006.15.9.835

Analysis of Local Wind in Busan Metropolitan area According to Wind Sector Division - Part I : Coarse Division of Wind Sector using Meteorological Observation Data -  

Lee, Hwa-Woon (Department of Atmospheric Sciences, Pusan National University)
Jung, Woo-Sik (Department of Atmospheric Environment Information Engineering, Inje University)
Leem, Heon-Ho (Department of Atmospheric Sciences, Pusan National University)
Lee, Kwi-Ok (Department of Atmospheric Sciences, Pusan National University)
Choi, Hyun-Jung (Department of Atmospheric Sciences, Pusan National University)
Ji, Hyo-Eun (Department of Atmospheric Sciences, Pusan National University)
Lee, Hyun-Ju (Department of Atmospheric Sciences, Pusan National University)
Sung, Kyoung-Hee (Department of Atmospheric Sciences, Pusan National University)
Do, Woo-Gon (Busan Metropolitan City Institute of Health and Environment)
Publication Information
Journal of Environmental Science International / v.15, no.9, 2006 , pp. 835-846 More about this Journal
Abstract
In this study, climate analysis and wind sector division were conducted for a propriety assessment to determine the location of air quality monitoring sites in the Busan metropolitan area. The results based on the meteorological data$(2000{\sim}2004)$ indicated hat air temperature is strongly correlated between 9 atmospheric monitoring sites, while wind speed and direction are not. This is because wind is strongly affected by the surrounding terrain and the obstacles such as building and tree. in the next stage, we performed cluster analysis to divide wind sector over the Busan metropolitan area. The cluster analysis showed that the Busan metropolitan area is divided into 6 wind sectors. However 1 downtown and 2 suburbs an area covering significantly broad region in Busan are not divided into independent sectors, because of the absence of atmospheric monitoring site. As such, the Busan metropolitan area is finally divided into 9 sectors.
Keywords
Wind sector; Climate analysis; Cluster analysis; Air quality monitoring site;
Citations & Related Records
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  • Reference
1 대기오염측정망 기본 계획 (2006-2010), 2005, 환경부, 82pp
2 Flocchini, R. G., T. A. Cahill, M. L. Pitchford, R. A. Eldred, P. J. Freeney and L. L. Ashbaugh, 1981, Characterization of particles in the arid west, Atmospheric Environment, 15, 2017-2030   DOI
3 Statheropoulos, M., N. Vassiliadis and A. Pappa, 1998, Principal component and canonical correlation analysis for examining air pollution and meteorological data, Atmospheric Environment, 32, 1087-1095   DOI   ScienceOn
4 유은철, 박옥현, 2006, 부산지역 오존 농도의 공간분포해석을 통한 2차 대기오염측정망의 적정성 평가, 한국대기환경학회 춘계학술대회 논문집, 399-400
5 Davis, R. E. and L. S. Kalkstein, 1990, Development of an automated spatial synoptic climatological classification, International Journal of Climatology, 10, 769-794   DOI
6 Eder, B. K., J. M. Davis and P. Bloomfield, 1993, A characterization of the spatiotemporal variability of non-urban ozone concentrations over the eastern United States, Atmospheric Environment, 27A, 2645-2668
7 Eder, B. K., 1989, A principal component analysis of $SO^{2-}_{4}$ precipitation concentrations over the eastern United States, Atmospheric Environment, 23, 2739-2750   DOI
8 유은철, 박옥현, 2004, 부산지역 오존 및 이산화질소 농도의 공간분포해석에 따른 대기오염측정망 배치 연구, 한국대기환경학회지, 20(5), 583-591
9 Ashbaugh, L. L., L. O. Myrup and R. G. Flocchini, 1984, A Principal component analysis of sulfur concentrations in the western United States Atmospheric Environment, 18, 783-791   DOI
10 Glahn, H. R., and K. A. Lowry, 1972, The use of model output statistics(MOS) in objective weather forecasting, Journal of Applied Meteorology, 11, 1203-1211   DOI
11 Yu, T. Y and L. F. W. Chang, 2001, Delineation of air-quality basing utilizing multivariate statistical methods in Taiwan, Atmospheric Environment, 35, 3155-3166   DOI   ScienceOn