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Urban Roughness Estimation Based on Digital Building Models for Urban Wind and Thermal Condition Estimation?￠????Application of the SkyHelios Model

机译：基于数字建筑模型的城市粗糙度估计，用于城市风和热状况估计——SkyHelios模型的应用

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摘要

Roughness length is a critical parameter for estimation of wind conditions, and it is therefore also relevant for the estimation of human thermal conditions in urban areas. The high density of buildings in urban areas causes large changes in land coverage, thereby increasing surface roughness. This influence atmospheric flow and also leads to a reduction in urban air ventilation, thus increasing the risk of human thermal stress. In this study, a digital building model of Tainan city was used to calculate roughness length using an approach based on Voronoi cells by applying the microclimate model, SkyHelios. The model was also used to estimate the wind conditions, including the wind speed and wind direction. For estimation of the thermal conditions, this study obtained meteorological data for air temperature, relative humidity, globe temperature, wind speed, and wind direction on two specific days (31 July 2015 and 21 January 2016). To quantify the thermal stress, the physiologically equivalent temperature (PET) was used to represent the thermal conditions. The wind conditions results obtained from the model indicate that even microscale conditions with vortices and corner flow can be represented with high precision and resolution. The thermal conditions results demonstrate that different created environments and microclimate conditions affect the thermal environment. The difference in PET can be up to 3 ???°C. This study confirmed that comparison of microclimate thermal conditions based on measurements and obtained from modeling using SkyHelios are in sufficient agreement and can be used in urban planning in the future.
机译：粗糙度长度是估计风况的关键参数，因此也与估计城市地区的人为热状况有关。城市地区建筑物的高密度导致土地覆盖率发生较大变化，从而增加了表面粗糙度。这会影响大气流量，还会导致城市空气流通减少，从而增加人为热应力的风险。在这项研究中，台南市的数字建筑模型被用于通过应用基于微气候模型SkyHelios的基于Voronoi细胞的方法来计算粗糙度长度。该模型还用于估计风况，包括风速和风向。为了估算热条件，本研究获得了两个特定日期（2015年7月31日和2016年1月21日）的空气温度，相对湿度，地球温度，风速和风向的气象数据。为了量化热应力，使用生理等效温度（PET）表示热条件。从模型获得的风况结果表明，即使是具有旋涡和角流的微尺度情况也可以高精度和高分辨率表示。热条件结果表明，不同的创造环境和微气候条件会影响热环境。 PET中的差异可以高达3℃。这项研究证实，基于测量并通过使用SkyHelios建模获得的微气候热条件的比较已经足够吻合，并且可以在未来的城市规划中使用。

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