Correlation between Urban Morphology and Wind Environment in Digital City using GIS and CFD Simulations

Authors

  • Yin Jie School of Urban Design, Wuhan University
  • Zhan Qingming School of Urban Design, Wuhan University
  • Xiao Yinghui School of Urban Design, Wuhan University
  • Wang Tao School of Urban Design, Wuhan University
  • Che Erzhuo School of Remote Sensing and Information Engineering, Wuhan University
  • Meng Fanshuo School of Remote Sensing and Information Engineering, Wuhan University
  • Qian Yi School of Urban Design, Wuhan University

DOI:

https://doi.org/10.3991/ijoe.v10i3.3631

Keywords:

Digital city, Geographic information systems (GIS), Computational fluid dynamics (CFD), Frontal area density (FAD)

Abstract


Digital city technology has been used increasingly in planning and architectural design, and it has become a powerful means for solving problems faced in a city. In China, more than 61% of the population will live in cities by 2020; this proportion will increase to 69% by 2030. The city’s internal environment is deteriorating. Using information technology, this study focuses on both the urban and the residential neighbourhood scale to explore the relationship between the urban morphology and the urban wind environment. At the urban scale, using geographic information system (GIS)-based spatial analysis and calculating the frontal area density (FAD) and roughness length, the building density and building volume density (BVD) can help improve the urban wind environment. At the residential neighbourhood scale, through computational fluid dynamics (CFD) simulations, the building density has a strongly linear relationship with the average pedestrian wind speed; however, the floor area ratio, average building height, and average wind speed show weak correlation.

Author Biographies

Yin Jie, School of Urban Design, Wuhan University

doctoral post graduate of School of Urban Design, Wuhan University

Zhan Qingming, School of Urban Design, Wuhan University

professor,doctor,associate dean of School of Urban Design, associate dean of Research Center for Digital City

Xiao Yinghui, School of Urban Design, Wuhan University

associate professor of School of Urban Design

Wang Tao, School of Urban Design, Wuhan University

master of School of Urban Design

Che Erzhuo, School of Remote Sensing and Information Engineering, Wuhan University

master of School of Remote Sensing and Information Engineering

Meng Fanshuo, School of Remote Sensing and Information Engineering, Wuhan University

master of School of Remote Sensing and Information Engineering

Qian Yi, School of Urban Design, Wuhan University

doctoral post graduate of School of Urban Design, Wuhan University

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Published

2014-04-28

How to Cite

Jie, Y., Qingming, Z., Yinghui, X., Tao, W., Erzhuo, C., Fanshuo, M., & Yi, Q. (2014). Correlation between Urban Morphology and Wind Environment in Digital City using GIS and CFD Simulations. International Journal of Online and Biomedical Engineering (iJOE), 10(3), pp. 42–48. https://doi.org/10.3991/ijoe.v10i3.3631

Issue

Section

Papers