1 |
Blocken, B., W.D. Janssen, and T. van Hooff, 2012. CFD simulation for pedestrian wind comfort and wind safety in urban areas: General decision framework and case study for the Eindhoven University campus, Environmental Modelling & Software, 30: 15-34. https://doi.org/10.1016/j.envsoft.2011.11.009
DOI
|
2 |
Bourbia, F. and H.B. Awbi, 2004. Building cluster and shading in urban canyon for hot dry climate, Part 1: Air and surface temperature measurements, Renewable Energy, 29(2): 249-262. https://doi.org/10.1016/S0960-1481(03)00170-8
DOI
|
3 |
Brozovsky, J., A. Simonsen, and N. Gaitani, 2021. Validation of a CFD model for the evaluation of urban microclimate at high latitudes: A case study in Trondheim, Norway, Building and Environment, 205: 108175. https://doi.org/10.1016/j.buildenv.2021.108175
DOI
|
4 |
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. https://doi.org/10.1016/S1352-2310(96)00248-8
DOI
|
5 |
Jarraud, M., 2018. Guide to Instruments and Methods of Observation (2018 edition - Volume I: Measurement of Meteorological Variables), World Meteorological Organization, Geneva, Switzerland.
|
6 |
Kang, J.-E. and J.-J. Kim, 2020. Assessment of Observation Environments of Automated Synoptic Observing Systems Using GIS and WMO Meteorological Observation Guidelines, Korean Journal of Remote Sensing, 36(5-1): 693-706 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2020.36.5.1.4
DOI
|
7 |
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. https://doi.org/10.1007/s13143-014-0023-8
DOI
|
8 |
Ku, C.A. and H.K. Tsai, 2020. Evaluating the influence of urban morphology on urban wind environment based on computational fluid dynamics simulation, ISPRS International Journal of Geo-Information, 9(6): 399. https://doi.org/10.3390/ijgi9060399
DOI
|
9 |
Lee, H., J.-J. Kim, and Y.-G. Lee, 2015. A Study on the Characteristics of Flows around Building Groups Using a CFD Model, Atmosphere, 25(3): 501-510 (in Korean with English abstract). https://doi.org/10.14191/Atmos.2015.25.3.501
DOI
|
10 |
Yang, H.-J. and J.-J. Kim, 2015a. Assessment of Observation Environment for Surface Wind in Urban Areas Using a CFD model, Atmosphere, 25(3): 449-459 (in Korean with English abstract). https://doi.org/10.14191/Atmos.2015.25.3.449
DOI
|
11 |
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). https://doi.org/10.7780/kjrs.2015.31.2.2
DOI
|
12 |
Zhang, S., K.C. Kwok, H. Liu, Y. Jiang, K. Dong, and B. Wang, 2021. A CFD study of wind assessment in urban topology with complex wind flow, Sustainable Cities and Society, 71: 103006. https://doi.org/10.1016/j.scs.2021.103006
DOI
|
13 |
Liu, S., W. Pan, H. Zhang, X. Cheng, Z. Long, and Q. Chen, 2017. CFD simulations of wind distribution in an urban community with a full-scale geometrical model, Building and Environment, 117: 11-23. https://doi.org/10.1016/j.buildenv.2017.02.021
DOI
|
14 |
Park, S.-J., S.-H. Choi, J.-E. Kang, D.-J. Kim, D.-S. Mun, W.-S. Choi, J.-J. Kim, and Y.-G. Lee, 2016. Effects of Differential Heating by LandUse types on flow and air temperature in an urban area, Korean Journal of Remote Sensing, 32(6): 603-616 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2016.32.6.5
DOI
|
15 |
Yang, H.-J. and J.-J. Kim, 2015b. Evaluation of Observation Environment for Weather Stations Located in Metropolitan Areas, Korean Journal of Remote Sensing, 31(2): 193-203 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2015.31.2.13
DOI
|