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Supervised by Ministry of Industry and Information Technology of The People's Republic of China Sponsored by Harbin Institute of Technology Editor-in-chief Yu Zhou ISSNISSN 1005-9113 CNCN 23-1378/T

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Wind and Snow Impacts on Urban Space Planning: A Multiphase Numerical Simulation
Author NameAffiliationPostcode
Zhihao Hu 1.School of Architecture, Harbin Institute of Technology, Harbin 150000, China 150001
Huizhe Cao* 1. School of Architecture, Harbin Institute of Technology, Harbin 150000, China
2. Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology, Ministry of Industry and Information Technology, Harbin Institute of Technology, Harbin 150000, China
 
150001
Bin Zhang 3.China Energy Engineering Group Shanxi Electric Power Engineering Co., Ltd., Taiyuan 030001, China 
Chein-Chi Chang 4.University of Maryland, Baltimore County, Maryland 21250, USA 
Biao Li 5.School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150006, China 
Abstract:
The wind and snow environment outside the planned space plays a key role in the comfort and safety of the human habitat in severe cold regions. Traditional studies of the external environment of human settlements, however, frequently overlook the combined impacts of wind and snow environments. Furthermore, in urban meteorological studies, it is impossible to accurately assess the wind and snow environment in specific areas or locations. In this study, a refined Computational Fluid Dynamics (CFD) multiphase flow numerical method was used to simulate a planning space’s wind and snow environment. The study classified the Snowstorm Weather Grade (SWG) by incorporating the Snowstorm Weather Index (SWI) to generate calculation results of the wind environment and snow environment. In particular, 150 measurement points in the planning space were chosen for analysis and evaluation of their wind and snow environments. The results demonstrated that the SWI index can effectively correlate to the wind and snow environment calculation results. In addition, the graph of SWI showed that 55% of the measurement points had a moderate wind and snow grade SWI, which exceeds the average grade for the entire region. The practical application shows that the wind and snow environment assessment indexes and technical methods developed in this paper can be successfully applied to wind and snow environment studies in other cold cities.
Key words:  Urban Planning, Planning Space, Cold region, Wind and snow environment, Numerical simulation of multiple flows
DOI:10.11916/j.issn.1005-9113.22036
Clc Number:72.02
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