Browse > Article
http://dx.doi.org/10.7780/kjrs.2015.31.2.13

Evaluation of Observation Environment for Weather Stations Located in Metropolitan Areas  

Yang, Ho-Jin (WISE project, Hankuk University of Foreign Studie)
Kim, Jae-Jin (Department of Environmental Atmospheric Sciences, Pukyong National University)
Publication Information
Korean Journal of Remote Sensing / v.31, no.2, 2015 , pp. 193-203 More about this Journal
Abstract
In this study, effects of buildings and topography on observation environment of weather stations located on mountainous terrain in metropolitan areas are investigated using a computational fluid dynamics (CFD) model. In order to investigate the characteristics of flow pattern around the weather stations, geographic information system (GIS) data are used to construct surface boundary input data of the CFD model. In order to evaluate effects of buildings and topography on wind speed and direction at three weather stations located in Deajeon, Busan, and Gwangju., target areas around the weather stations are selected and 16 cases with different inflow directions for each target area are considered. The simulated wind speed and direction at the weather stations are compared with those of inflow. As a whole, wind speed at the weather stations decreases due to drag effects of the buildings and topography in the upwind regions. This study shows that GIS data and the CFD model are successfully applicable to evaluation of observation environment for weather stations.
Keywords
surface wind assessment; observation environment; CFD model; GIS data;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
연도 인용수 순위
1 Rakowska, A., K.C. Wong, T. Townsend, K.L. Chan, D. Westerdahl, S. Ng, G. Mocnik, L. Drinovec, and Z. Nin, 2014. Impact of traffic volume and composition on the air quality and pedestrian exposure in urban street canyon, Atmospheric Environment, 98: 260-270.   DOI
2 Patankar, S.V., 1980. Numerical Heat Transfer and Fluid Flow, McGraw-Hill, New York, pp. 197.
3 Pontiggia, M., G. Landucci, V. Busini, M. Derudi, M. Alba, M. Scaioni, S. Bonvicini, V. Cozzani, and R. Rota, 2011. CFD model simulation of LPG dispersion in urban areas, Atmospheric Environment, 45(24): 3913-3923.   DOI
4 Vardoulakis, S., M. Valiantis, J. Milner, and H. ApSimon, 2007. Operational air pollution modelling in the UK-Street canyon applications and challenges, Atmospheric Environment, 41(22): 4622-4637.   DOI
5 Versteeg, H.K. and W. Malalasekera, 1995. An Introduction to Computational Fluid Dynamics: The Finite Volume Method, Longman, Malaysia, pp. 257.
6 Yakhot, V., S.A. Orszag, S. Thangam, T.B. Gatski, and C.G. Speziable, 1992. Development of turbulence models for shear flow by a double expansion technique, Physics of Fluids, 4(7): 1510-1520.   DOI
7 Baik, J.-J., S.-B. Park, and J.-J. Kim, 2009. Urban flow and dispersion simulation using a CFD model coupled to a mesoscale model, J. Appl. Meteor. Climatol., 48(8): 1667-1681.   DOI
8 Britter, R.E. and S.R. Hanna, 2003. Flow and dispersion in urban areas, Annu. Rev. Fluid Mech 2003, 35(1): 469-496.   DOI
9 Castro, I.P. and D.D. Apsley, 1997. Flow and dispersion over topography: a comparison between numerical and laboratory data for twodimensional flows, Atmospheric Environment, 31(6): 839-850.   DOI
10 Choi, H.W., D.Y. Kim, J.-J. Kim, K.Y. Kim, and J.H. Woo, 2012. Study on dispersion characteristics for fire scenarios in a an urban area using a CFDWRF coupled model, Atmosphere, 22(1): 47-55 (in Korean with English abstract).   DOI
11 Garcia-Sanchez, C., D.A. Philips, C. Gorle, 2014. Quantifying inflow uncertainties for CFD simulations of the flow in downtown Oklahoma City, Building and Environment, 78: 118-129.   DOI
12 Hanna, S.R., M.J. Brown, F.E. Camell, S.T. Chan, W.J. Coirier, O.R. Hansen, A.H. Huber, S. Kim, and R.M. Reynolds, 2006. Detailed simulations of atmospheric flow and dispersion in downtown Manhattan: An application of five computational fluid dynamics models, Bulletin of the American Meteorological Society, 87(12): 1713-1726.   DOI
13 Kim, J.-J., 2007. The effects of obstacle aspect ratio on surrounding flows, Atmosphere, 17(4): 381-391 (in Korean with English abstract).
14 Kim J.-J. and J.-J. Baik, 2005. An investigation of flow and scalar dispersion in an urban area using a CFD model, Atmosphere, 41: 821-837 (in Korean with English abstract).
15 Kim, J.-J., E. Pardyjak, D.Y. Kim, K.S. Han, and B.H. Kwon, 2014. Effects of Building-Roof Cooling on Flow and Air Temperature in Urban Street canyons, Asia-Pacific Journal of Atmospheric Sciences, 50(3): 365-375.   DOI
16 Lee, J.H., J.W. Choi, J.-J. Kim, and Y.C. Suh, 2009. The effects of an urban renewal plan on detailed air flow in an urban area, Journal of the Korea Association of Geographic Information Studies, 12(2): 69-81 (in Korean with English abstract).
17 Lee, Y.S. and J.-J. Kim, 2011. Effects of an apartment complex on flow and dispersion in an urban area, Atmosphere, 21(1): 95-108 (in Korean with English abstract).   DOI