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http://dx.doi.org/10.7780/kjrs.2018.34.6.1.4

A Study on the Flow Changes around Building Construction Area Using a GIS Data  

Mun, Da-Som (Division of Earth Environmental System Science, Pukyong National University)
Kim, Jae-Jin (Division of Earth Environmental System Science, Pukyong National University)
Publication Information
Korean Journal of Remote Sensing / v.34, no.6_1, 2018 , pp. 879-891 More about this Journal
Abstract
In this study, the effects of urban redevelopment and building construction on the change of the detailed flows around the Pukyong National University (PKNU) campus located in the building-congested area was investigated using a CFD (computational fluid dynamics) model and GIS (geographic information system). For the analysis of the detailed flows before and after the constructions of the buildings around and within the campus, numerical simulations for the 16 inflow directions were performed before and after the construction. We used, as reference wind speeds at the inflow boundaries, the averaged wind speeds observed at the Gwangan light beacon (962) where there is no surrounding obstacle (i.e., building and terrain) acting as friction. We analyzed the area fractions in which wind speeds at z = 2.5 m changed after the construction for 16 inflow directions. The area fractions were relatively large in the east-south-easterly and southerly cases, because of the high-rise buildings constructed at the east and the apartment complex and the Engineering buildings constructed at the south of the PKNU campus. In the case of the easterly of which frequency is highest among the wind directions observed at the Daeyeon AWS (AWS 942) located inside the PKNU campus, the wind-speed change was not significant even after the constructions. It is shown that the building construction has affected the detailed flows around as well as even in the far downwind region of the constructed buildings. Also, it is shown that the GIS and CFD model are useful for analyzing the detailed flows in planning the urban redevelopment and/or building construction.
Keywords
GIS; CFD model; urban redevelopment; building construction; wind-speed change;
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1 Ashie, Y. and T. Kono, 2011. Urban-scale CFD analysis in support of a climate-sensitive design for the Tokyo Bay area, International Journal of Climatology, 31(2): 174-188.   DOI
2 Baik, J.-J., J.-J. Kim, and H.-J.-S. Fernando, 2003. A CFD Model for Simulating Urban Flow and Dispersion, Journal of Applied Meteorology, 42(11): 1636-1648.   DOI
3 Castro, I.P. and D.D. Apsley, 1997. Flow and dispersion over topography: a comparison between numerical and laboratory data for two-dimensional flows, Atmospheric Environment, 31(6): 839-850.   DOI
4 Chen, L., J. Hang, M. Sandberg, L. Claesson, S.-D. Sabatino, and H. Wigo, 2017. The impacts of building height variations and building packing densities on flow adjustment and city breathability in idealized urban models, Building and Environment, 118: 344-361.   DOI
5 Chu, A. K. M., R. C. W. Kwok, and K. N. Yu, 2005. Study of pollution dispersion in urban areas Computational Fluid Dynamics (CFD) and Geographic Information System (GIS), Environmental Modelling & Software, 20(3): 273-277.   DOI
6 Gousseau, P., B. Blocken, T. Stathopoulos, and G.J.F. Van Heijst, 2015. Near-field poluutant dispersion in an actual urban area: Analysis of the mass transport mechanism by high-resolution Large Eddy Simulations, Computers & Fluids, 114: 151-162.   DOI
7 Hang, J., M. Sandberg, Y. Li, and L. Claesson, 2009. Pollutant dispersion in idealized city models with different urban morphologies, Atmospheric Environment, 43(38): 6011-6025.   DOI
8 Hong, J.-W. and J. Hong, 2016. Changes in the Seoul Metropolitan Area Urban Heat Environment with Residentoal Redevelopment, Journal of Applied Meteorology and Climatology, 55(5): 1091-1106.   DOI
9 Kang, I.-H., 2017. Characteristics of Early Supplied Apartment of Korea: Comparative Price Analysis of Apartment and Detached House on 1960's, SH Urban Research & Insight, 7(2): 55-73 (in Korean with English abstract).   DOI
10 Kastner-Klein, P., R. Berkowicz, and R. Britter, 2004. The influence of street architecture on flow and dispersion in street canyons, Meteorology and Atmospheric Physics, 87(1-3): 121-131.   DOI
11 Kwak, K.-H., J.-J. Baik, Y.-H. Ryu, and S.-H. Lee, 2015. Urban air quality simulation in a high-rise building area using a CFD model coupled with mesoscale meteorological and chemistry-transport models, Atmospheric Environment, 100: 167-177.   DOI
12 Kwon, A.-R. and J.-J. Kim, 2015. Analysis on the Observation Environment of Surface Wind using GIS data, Korean Journal of Remote Sensing, 31(2): 65-75 (in Korean with English abstract).   DOI
13 Kwon, Y.-M. and S.-K. Cho, 2000. A Study on the Development Methods classified by Types depending on the Locational Characteristics of Urban Residential District in Pusan, Journal of the Architectural Institute of KOREA Planning & Design, 16(11): 203-212 (in Korean with English abstract).
14 Toparlar, Y., B. Blocken, P. Vos, G.J.F. van Heijst, W.D. Janssen, T. van Hooff, H. Montazeri, and H.J.P. Timmermans, 2015. CFD simulation and validation of urban microclimate: A case study for Bergpolder Zuid, Rotterdam, Building and Environment, 83: 79-90.   DOI
15 Lee, J.-H., J.-W. Choi, J.-J. Kim, and Y.-C. Suh, 2009. The Effects of an Urban Renewal Plan on Detailed Air Flows in an Urban Area, Journal of Korean Association of Geographic Information Studies, 12(2): 69-81 (in Korean with English abstract).
16 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
17 Liu, S., W. Pan, X. Zhao, H. Zhang, X. Cheng, Z. Long, and Q. Chen, 2018. Influence of surrounding buildings on wind flow around a building predicted by CFD simulations, Building and Environment, 140: 1-10.   DOI
18 Shi, X., Y. Shu, J. Duan, R. Shao, and J. Wang, 2015. Assessment of pedestrian wind environment on urban planning design, Landscape and Urban Planning, 140: 17-28.   DOI
19 Tominaga, Y. and T. Stathopoulos, 2013. CFD simulation of near-field pollutant dispersion in the urban environment: A review of current modeling techniques, Atmospheric Environment, 79: 716-730.   DOI
20 Yao, R., Q. Luo, Z. Luo, L. Jiang, and Y. Yang, 2015. An intergrated study of urban microclimates in Chongqing, China: Historical weather data, transverse measurement and numerical simulation, Sustainable Cities and Society, 14: 187-199.   DOI
21 Yuan, C., R. Shan, Y. Zhang, X.-X. Li, T. Yin, J. Hang, and L. Norford, 2019. Multilayer urban canopy modelling and mapping for traffic pollutant dispersion at high density urban areas, Science of the Total Environment, 647: 255-267.   DOI