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作者:

Huo, Hongyuan (Huo, Hongyuan.) | Chen, Fei (Chen, Fei.)

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摘要:

The rapid acceleration of urbanization has a serious impact on the urban ecological environment. It is of great importance to carry out numerical simulation research on urban spatial thermal environment for improving urban ecological environment. At present, there are few studies on the influence and accuracy evaluation of different vegetation settings in computational fluid dynamics (CFD) on the simulation results. Aiming to quantify impacts of vegetation changes and vegetation model settings on the numerical simulation of urban three-dimensional thermal environment, this study 1) based on Gaofen-2 remote sensing data and CFD model, the wind and heat environment at the block scale was simulated and analysed; 2) The vegetation model is assumed to be three models including cold source, constant temperature wall, and porous medium. Based on the heat transfer and cooling mechanism of vegetation, these three different vegetation models and their related CFD parameter settings are used to simulate the 3D spatial thermal environment. The research results show that the distribution of temperature has a great correlation with the direction of wind. The temperature distribution at different heights at night did not show significant differences. Due to the obvious convective heat transfer between the building surface and the atmosphere, the temperature in the upwind direction is significantly lower than that in the downwind direction. At a height of 2 m and below, setting the vegetation as the wall model has the best performance, and at a height above 5 m, the results of the wind and heat environment of the three setting methods are basically similar. The wind environment results of the same vegetation setting are different at different heights.

关键词:

vegetation model CFD air temperature remote sensing

作者机构:

  • [ 1 ] [Huo, Hongyuan]Beijing Univ Technol, Fac Architecture Civil & Transportat Engn, Beijing, Peoples R China
  • [ 2 ] [Chen, Fei]Beijing Univ Technol, Fac Architecture Civil & Transportat Engn, Beijing, Peoples R China
  • [ 3 ] [Chen, Fei]Beijing Inst Comp & Elect Applicat, Beijing, Peoples R China
  • [ 4 ] [Chen, Fei]Beijing Univ Technol, Fac Architecture Civil & Transportat Engn, Beijing 100124, Peoples R China
  • [ 5 ] [Chen, Fei]Beijing Inst Comp & Elect Applicat, Beijing 100089, Peoples R China

通讯作者信息:

  • [Chen, Fei]Beijing Univ Technol, Fac Architecture Civil & Transportat Engn, Beijing 100124, Peoples R China;;[Chen, Fei]Beijing Inst Comp & Elect Applicat, Beijing 100089, Peoples R China;;

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来源 :

INTERNATIONAL JOURNAL OF REMOTE SENSING

ISSN: 0143-1161

年份: 2023

期: 19-20

卷: 45

页码: 7234-7247

3 . 4 0 0

JCR@2022

ESI学科: GEOSCIENCES;

ESI高被引阀值:14

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