Numerical simulation of thermal environment in Zhongshan urban streets based on ENVI-met
LAO Zhao-ming1, LI Ying-min1, DENG Xue-jiao2, LI Ying-xin1
1. Zhongshan Meteorological Service, Zhongshan 528400, China;
2. Key Laboratory of Regional Numerical Weather Prediction, Institute of Tropical and Marine Meteorology, China Meteorological Administration, Guangzhou 510080, China
With the acceleration of the urbanization process, the impact of the city on local thermal environment became more and more obvious. In order to quantitatively analyse the effect of urban buildings and greening on the outdoor temperature, wind speed and thermal comfort during the summer season, this paper used a three-dimensional non-hydrostatic model, ENVI-met, to analyse the local thermal environment in Zhongshan with considering a real and a non-vegetation scenario. The analyses showed that the simulated results of ENVI-met model were close to the actual conditions. The tree shadows and building shades could reduce outdoor pedestrian-level temperature in a range between 2.6℃ and 3℃. The pedestrian-level temperature difference of lawns and asphalt pavements were noticeably different between 11:00 and 17:00 in summer season, the hourly maxima was up to 1.7℃. PMV value of building shades and trees was two grades lower than that of asphalt pavements. The non-vegetation scenario showed that the area of high temperature increased by 10%, the average wind speed increased by 24%, and the area of PMV ≥ 4 (very hot) increased by 13% compared to those under the real scenario. In the vertical layer, the heating effect on the urban street under the non-vegetation scenario extended to the height of 10meters, and the most significant effect could be found at the height of 0.6meters. Thus, urban vegetation can reduce temperature and improve human comfort in hot weather.
劳钊明, 李颖敏, 邓雪娇, 李颖昕. 基于ENVI-met的中山市街区室外热环境数值模拟[J]. 中国环境科学, 2017, 37(9): 3523-3531.
LAO Zhao-ming, LI Ying-min, DENG Xue-jiao, LI Ying-xin. Numerical simulation of thermal environment in Zhongshan urban streets based on ENVI-met. CHINA ENVIRONMENTAL SCIENCECE, 2017, 37(9): 3523-3531.
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