Diffusion factors of street canyon pollutants in the cold winter of Xi’an city based on back propagation neural network analysis

Wang, Qiong; Wang, Yi; Zhao, Jingyuan; Bai, Chunxia

doi:10.1177/1420326x15583918

Cited by 7 publications

(8 citation statements)

References 25 publications

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“…In addition, the difference between the analysis results and retail spatial distribution can also be verified. Most of the research objects are the spatial distribution of regional enterprises (Gu & Chen, 2017), road network accessibility (Wang et al, 2019), and there are few studies on service businesses.…”

Section: Spatial Distribution Research Methodsmentioning

confidence: 99%

Analysis of spatial distribution characteristics of electric vehicle sales and service shops and the corresponding influencing factors

Huang

Zeng

et al. 2023

Transactions in GIS

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The electric vehicle industry is essential for China's economic transformation and industrial upgrading. Identifying the distribution of electric vehicle sales and service shops is of great significance to boost the development of retail geography theory and promote the optimization of industrial space. Regression and spatial econometric methods analyze the influencing factors of electric vehicle sales and service shop distribution. According to the point of interest data of electric vehicle sales and service shops, taking 10 typical cities in China as an example, the spatial distribution of electric vehicle sales and service shops and its influencing factors are empirically explored by spatial econometric methods. The results indicate the following: (1) From high to low, the influence degree of spatial dependence factors are car license restriction policy, the average age of residents, number of schools, built‐up area, the amount of investment in real estate, electric vehicle sales, and GDP; (2) On the whole, the spatial distribution of electric vehicle sales and service shops shows the characteristics of a multi‐center circle‐layered spatial structure that spreads from the inside to the outside; and (3) The spatial influencing factors such as electric vehicle sales, charging stations, permanent resident population, schools, and subway stations in the four first‐tier cities is evident.

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Section: Spatial Distribution Research Methodsmentioning

confidence: 99%

Analysis of spatial distribution characteristics of electric vehicle sales and service shops and the corresponding influencing factors

Huang

Zeng

et al. 2023

Transactions in GIS

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“…[2][3][4][5] Many studies have illustrated that many modern diseases are caused by air pollution. [6][7][8] The airflow structure and pollutant distribution can be affected by many factors, including meteorological conditions, building structure, traffic flow, the effects of canopy properties, location and shape of pollution sources and so on. [9][10][11][12][13] The building structure is the main factor that could affect the airflow structure and pollutant distribution.…”

Section: Introductionmentioning

confidence: 99%

The investigation of street canyon flow field and pollutant diffusion under the coupling effect of dynamic air flow field and roof angle

Sun

Zhou

Wang

et al. 2022

Indoor and Built Environment

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Based on Computational Fluid Dynamics theory, the Euler-Lagrangian method was used to study the effects of three-dimensional dynamic airflow structure and roof angle on the flow structure and pollutant distribution in street canyons. The results show that the variation of inlet airflow speed could influence the airflow structure of street canyon seriously under the dynamic airflow. The airflow structure and pollutant distribution were compressed firstly and then expanded with the increase and decrease of the incoming airflow speed, respectively. The time-varying total pollutant concentration and the concentrations within the pedestrian height zone were increased sharply and then decreased with the increase in roof angles. According to the evolution of the total pollutant concentration and the concentrations within pedestrian height zone with different roof angles, we concluded that the street canyon with roof angle of 25°–30° can provide a clean and livable room for the residents.

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“…Moreover, the convective diffusion of pollutants from automobiles is related to the health of residents. [1][2][3][4] At present, research on airflow and pollutant dispersion in urban canopy and street canyons involves many factors, including balconies, 5,6 heat, 7,8 wind environment, 9,10 low boundary walls, 11 car parking systems 12 and trees. 13,14 Because numerical simulation technology consumes fewer resources and obtains abundant data information, 15 various researchers are using numerical simulations of airflow and pollutant dispersion in street canyons under arboreal influence to study airflow and pollutant dispersion in street canyons.…”

Section: Introductionmentioning

confidence: 99%

Numerical simulation of the effects of canopy properties on airflow and pollutant dispersion in street canyons

Wang

Tian²,

Zhao³

et al. 2021

Indoor and Built Environment

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The air flow and pollutant concentration fields in a street canyon affected by trees could affect the comfort and health of residents. At present, the description of the non-uniform/discontinuous distribution of leaves is difficult. In this study, the leaf distribution in the canopy was characterized by establishing non-continuous (uniform/random) algorithm based on a numerical simulation method, and the effects of canopy properties including, height, porosity and uniform/random leaf distribution, on the airflow and pollutant concentration fields in urban street canyons were investigated. The position of the tree canopy was found to directly affect the airflow field form and the air velocity distribution in the street canyon at low inflows. The average air velocity in the street canyon could be reduced significantly when the top of the tree canopy is near the top of the street canyon. The air velocity and pollutant concentration in the street canyon would vary only slightly due to the canopy porosity. Due to the increasing canopy porosity, the air velocity would increase, and the pollutant concentration would be reduced. The leaves are non-continuous and uniformly distributed at constant porosity, which does not significantly change the velocity distribution and pollutant concentration in the street canyon.

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Diffusion factors of street canyon pollutants in the cold winter of Xi’an city based on back propagation neural network analysis

Cited by 7 publications

References 25 publications

Analysis of spatial distribution characteristics of electric vehicle sales and service shops and the corresponding influencing factors

Analysis of spatial distribution characteristics of electric vehicle sales and service shops and the corresponding influencing factors

The investigation of street canyon flow field and pollutant diffusion under the coupling effect of dynamic air flow field and roof angle

Numerical simulation of the effects of canopy properties on airflow and pollutant dispersion in street canyons

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