Distribution and Fractal Characteristics of Outdoor Particles in High-Rise Buildings Based on Fractal Theory-Reference-Cited by-同舟云学术

Distribution and Fractal Characteristics of Outdoor Particles in High-Rise Buildings Based on Fractal Theory

Published:2023-09-05 Issue:9 Volume:7 Page:669
ISSN:2504-3110
Container-title:Fractal and Fractional
language:en
Short-container-title:Fractal Fract

Author:

Liu Fuquan¹,Yu Tao²³^ORCID,Leng Wenjun²,Zhang Xin⁴

Affiliation:

1. School of Engineering and Technology, Jiyang College of Zhejiang A&F University, Zhuji 311800, China

2. Wuhan Second Ship Design and Research Institute, Wuhan 430205, China

3. School of Energy and Power Engineering, Beihang University, Beijing 100191, China

4. School of Resources Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China

Abstract

It is of great significance to understand the particle distribution characteristics at different heights to effectively control particle pollution. Based on fractal theory, the fractal dimension of outdoor particles in a high-rise building in Xi’an and its relationship with the concentration of particles with different particle sizes are discussed and analyzed in this paper. The results indicate that the atmosphere in Xi’an is mainly composed of fine particles and that the average proportion of particles ranging from 0 to 1.0 µm is approximately 99.885% of the total particulates. The fractal dimension of particles in the atmosphere at different heights ranges from 5.014 to 5.764, with an average fractal dimension of 5.456. In summer, the fractal dimension of the outdoor particles on the 17th floor was the largest, at 5.764. The fractal dimension in summer is relatively high, being 0.158 higher than that in winter on average. The larger the fractal dimension, the higher the proportion of fine particles. In addition, the fractal dimension can characterize the adsorption of toxic and harmful gases by particles well. It provides parameter support for understanding particle distribution and the effective control of atmospheric particles at different heights and application values.

Publisher

MDPI AG

Subject

Statistics and Probability,Statistical and Nonlinear Physics,Analysis

Link

https://www.mdpi.com/2504-3110/7/9/669/pdf

Reference57 articles.

1. Estimating spatio-temporal variability of aerosol pollution in Yunnan Province, China;Zhou;Atmos. Pollut. Res.,2022

2. Zhang, X., Sun, H., Li, K.P., Nie, X.X., Fan, Y.S., Wang, H., and Ma, J.Y. (2022). Comparison of the Application of Three Methods for the Determination of Outdoor PM2.5 Design Concentrations for Fresh Air Filtration Systems in China. Int. J. Environ. Res. Public Health, 19.

3. Song, H., Dong, Y.H., Yang, J.Y., Zhang, X., Nie, X.X., and Fan, Y.X. (2023). Concentration Characteristics and Correlations with Other Pollutants of Atmospheric Particulate Matter as Affected by Relevant Policies. Int. J. Environ. Res. Public Health, 20.

4. Critical review on emerging health effects associated with the indoor air quality and its sustainable management;Kumar;Sci. Total Environ.,2023

5. Excess Global Blood Pressure Associated with Fine Particulate Matter Air Pollution Levels Exceeding World Health Organization Guidelines;Brook;J. Am. Heart Assoc.,2023

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Effect of Heating Emissions on the Fractal Size Distribution of Atmospheric Particle Concentrations;Atmosphere;2024-01-11

2. Differences in Performance and Conductivity Persistence of New Reduced Graphene Oxide Air Filter Materials before and after Eliminating Static Electricity;Materials;2023-11-13