Hong Chen's research while affiliated with Huazhong University of Science and Technology and other places

... Data obtained close to locations such as construction sites or sprinklers were excluded. Finally, the effects of the background concentrations were minimized according to the approach used in previous studies (Xu et al., 2022). That is, the background concentration at 5-s intervals was subtracted from the PM 2.5 concentration obtained at each GPS point according to the associated monitoring time. ...

... [9] took China's prefecture-level cities as the research object and used the generalized method of moments and a dynamic panel data model to conclude that an urban spatial structure with a high population density causes air pollution to present an inverted "U" shape change and that residential land, industrial land, transportation land, and public facility land are the key factors affecting air pollution. Liu et al. [10] took Wuhan City as the research object and applied hierarchical clustering analysis to explore the relationship between air pollutants and urban form and found that the lower the building density and floor area ratio, the higher the porosity, and the lower the concentration of NO 2 and PM 2.5 . Li et al. [11] took Maricopa County in the United States as the research object and applied regression analysis to study the impact of socioeconomic and land use factors on air pollution exposure, reaching an important conclusion that the normalized vegetation index showed a negative correlation with AOD. ...

... With developments in scientific research, the significant influence on PM 2.5 pollution of the built environment, such as the urban form, landscape, and land use, has been proven (Chen et al., 2019aLiu et al., 2021;Ren et al., 2022;Shi et al., 2018Shi et al., , 2019. Built-up areas with high emission intensities, especially industrial areas, are often associated with high pollution levels (Habermann et al., 2015;Ren et al., 2022), while urban greenery, water bodies and other natural land-use types tend to contribute to lower concentrations (Eisenman et al., 2019;Han et al., 2020;Wu et al., 2019). ...

... The deterioration of the urban thermal environment, which is often measured by the magnitude of the urban heat island effect and the rise of land surface temperature, is affected by complicated urbanization processes and natural environment factors [8][9][10][11][12][13]. In recent years, more and more studies have shown that urban form and natural factors have multi-path effects on urban thermal environment quality, and their relationship has been proved to be nonlinear in previous studies [14]. ...

... The advances in the computational capacity have incremented the use of CFD to calculate required in BTS (Carrilho da Graça et al., 2012;Shirzadi et al., 2018;Nguyen Van and De Troyer, 2018;Dogan and Kastner, 2020;Gimenez et al., 2018). The coupled simulations using CFD and BTS are reported in Zhang et al. (2013), Wong (2009), Yi andFeng (2013), Shen and Wang (2020), Xiong and Chen (2020), Pandey et al. (2021), Hadavi and Pasdarshahri (2021) and it is expected that in the coming years this coupling use grows (Sakiyama et al., 2020;Blocken, 2015;Zhang and Mirzaei, 2021). ...

... From another aspect, the obstruction of building form to air ow further leads to the di culty of pollutant diffusion. In addition, the morphology, composition, and con guration of the urban gray landscape will affect the spatial and temporal distribution of PM 2.5 (Shi et al. 2019;Xu et al. 2021). On the contrary, research also showed that the presence of blue landscapes in urban centers hinders the in ltration and diffusion of PM 2.5 , further exacerbating the accumulation of pollutants ). ...

... The effect of environmental conditions, such as wind speed [33][34][35][36][37], wind direction [38][39][40][41][42], inflow turbulence [43][44][45][46][47] and thermal stratification [48][49][50][51][52][53][54][55] on airflow around buildings has attracted the attention of many researchers in recent years. The thermal action on the external wall caused by environmental heat sources such as solar radiation is also receiving increased emphasis as one of the major driving forces for airflow motion [56][57][58][59]. In urban environments, the buoyancy effect is mainly caused by solar radiation directly onto the external wall façade and ground during the daytime, thus heating the surrounding air. ...

... Therefore, the arrangement of buildings within blocks must also be described via quantitative parameters, such as enclosure, maximum dispersion and staggering, and standard deviation of the building height (BH std ) [41]. Considering that simple morphological parameters do not express the ability of blocks to reduce the pollutant concentration, it is also necessary to consider morphological indicators related to ventilation, such as the average windward area ratio (ζ s ) and ventilation blockage ratio (ζ) [42,43]. This paper selected 26 urban block morphological parameters (Table 1) and divided them into four categories: basic block indicators, block shape indicators, intrablock building relationship indicators, and block ventilation indicators. ...

... Studies have shown that PM 2.5 concentrations are significantly lower in the warmer months (April to September) than in the cooler months (November to March) (Zeng et al., 2022). The warm period is relatively long in Wuhan, with cooler weather occurring only from mid-October (Xu et al., 2020), and the major leafing of plants occurs in mid-November. Four days in late fall, October 30 and November 3, 4, and 10, 2020, were chosen for the real measurements. ...

... However, within our cognitive scope, knowledge about the evolution of LCZs within the URF during urban sprawl is still insufficient. Li et al. [36] found that the expansion of urban upwind built-up areas significantly affects the temperature and wind direction of central urban areas in summer. Fernandez et al. and Gilaber et al. [37,38] discussed the relationships between LCZs and the air temperature or energy balance in urban fringe areas in single-time slices. ...