The influence of roadside green belts and street canyon aspect ratios on air pollution dispersion and personal exposure

Zhu, Xiaoxuan; Wang, Xueyan; Lei, Li; Zhao, Yuting

doi:10.1016/j.uclim.2022.101236

Cited by 15 publications

(10 citation statements)

References 52 publications

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“…Wilkinson et al present a data generation technique to approximate complex computational fluid dynamics (CFD) using an artificial neural network [WBH14]. The other surveyed papers were primarily analysis contributions that relayed on CFD for building‐level [AKH19] or neighborhood‐level [EGAB17, ZKL*21] wind load analysis (Figure 12 (Super‐imposition)), wind power potential [SDP20], inner building ventilation [SL19,HP20], wind impact on urban climate [GBI14,DL19, HP21], pollution dispersion [GL19,ZWLZ22,HZL*23, LMS*23], or the interplay between sunlight access and wind for thermal comfort [JY20].…”

Section: Primary Dimensions (Why)mentioning

confidence: 99%

The State of the Art in Visual Analytics for 3D Urban Data

Miranda,

Ortner,

Moreira

et al. 2024

Computer Graphics Forum

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Urbanization has amplified the importance of three‐dimensional structures in urban environments for a wide range of phenomena that are of significant interest to diverse stakeholders. With the growing availability of 3D urban data, numerous studies have focused on developing visual analysis techniques tailored to the unique characteristics of urban environments. However, incorporating the third dimension into visual analytics introduces additional challenges in designing effective visual tools to tackle urban data's diverse complexities. In this paper, we present a survey on visual analytics of 3D urban data. Our work characterizes published works along three main dimensions (why, what, and how), considering use cases, analysis tasks, data, visualizations, and interactions. We provide a fine‐grained categorization of published works from visualization journals and conferences, as well as from a myriad of urban domains, including urban planning, architecture, and engineering. By incorporating perspectives from both urban and visualization experts, we identify literature gaps, motivate visualization researchers to understand challenges and opportunities, and indicate future research directions.

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Section: Primary Dimensions (Why)mentioning

confidence: 99%

The State of the Art in Visual Analytics for 3D Urban Data

Miranda,

Ortner,

Moreira

et al. 2024

Computer Graphics Forum

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“…A study conducted by Buccolieri et al (2009) showed that the effect of trees on the dispersion of pollutants decreases with an increase in aspect ratio, irrespective of the form and arrangement of trees. A study by Zhu et al (2022) showed that a central greenbelt and a greenbelt on the leeward side of the street canyons are effective in pollutants' dispersion in street canyons having lower aspect ratios with aspect ratios less than 0.67.…”

Section: Street Geometrymentioning

confidence: 99%

“…Wall averaged pollutant concentration in street canyon with avenues of trees was highest for oblique wind and lowest for parallel wind. Zhu et al (2022) showed that a central greenbelt and a greenbelt on the leeward side of the street canyons are effective in reducing pollutants exposure of roadside users when the wind direction is almost perpendicular in street canyons with an aspect ratio less than 0.67.…”

Section: Wind Directionmentioning

confidence: 99%

Conceptual Framework for Planning Urban Roadside Vegetation to Enhance Air Quality for Roadside Users

Mogra,

Khamidi,

Fadli

2023

The International Conference on Civil Infrastructure and Construction

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Vegetation is known for enhancing air quality. However, vegetation on urban roads can either increase or decrease exposure to air pollutants. The health of pedestrians and cyclists is particularly of great concern since they are exposed directly to air pollutants, unlike drivers. Dispersion of air pollutants is necessary for exposure reduction on urban roads. The local factors, including street geometry, meteorological conditions, and physical characteristics of vegetation, influence the dispersion of pollutants. There is a lack of framework for planning urban road vegetation to disperse air pollutants. This study summarizes the literature on the influence of local factors; analyses the interrelation between the local factors on the dispersion of air pollutants by trees and hedgerows. It provides a conceptual framework to provide clarity in planning urban roadside vegetation to enhance the air quality for roadside users.

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“…Several studies, including Li et al [16], Jia Wanga et al [17], Zhu et al [18], and Wania et al [19], have investigated the influences of wind speed on vegetation-induced pollutant exposure reduction. Researchers discovered that wind speed has a significant influence on vegetation pollutant concentration, particularly on obliquely oriented urban roads facing the prevailing wind direction [20].…”

Section: Introductionmentioning

confidence: 99%

“…[13], Buccolieri et al [25], Chen et al [31], Gromke et al [29], Gromke and Ruck [14,21], and Vranckx et al [32]. Amorim et al [28] conducted some studies in regions with hot dry summers and moderate wet winters (CSa); Li et al [16] conducted a few studies in a warm temperate climate region (Cfa); Hong et al [30] and Wania et al [19] conducted certain studies in a humid continental climate (Dwa); and Zhu et al [18] conducted a few studies in a warm and temperate climate region.…”

Section: Introductionmentioning

confidence: 99%

Applicability of Vegetation to Reduce Traffic-Borne PM2.5 Concentration in Roadside User Zones in Hot Arid Climates: The Case of Central Doha, Qatar

Mogra,

Khamidi

2024

Buildings

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The ‘Beautification of Roads and Parks in Qatar’ is an urban development project that intends to provide space for exercising in roadside greenery in central Doha due to a lack of accessible open spaces. Considering the potential health risks associated with inhaling traffic-borne PM2.5, this study investigated the efficacy of four common road vegetation scenarios in reducing traffic-borne PM2.5 concentration in roadside user zones using ENVI-met. It examined Spearman’s rank correlation between air temperature, relative humidity, traffic emission rate, and PM2.5 concentration in roadside user zones. Based on the results, (1) hedgerows lower PM2.5 concentrations in roadside user zones, while trees significantly increase the concentration. (2) There is a strong association between air temperature and relative humidity and the PM2.5 concentration. The PM2.5 concentration decreases as air temperature increases but it increases as relative humidity increases. (3) There is a moderately negative association between the traffic emission rate and the PM2.5 concentration; however, this association is not found to be statistically significant. The ENVI-met simulation showed a slight overestimation of PM2.5 concentration compared to the wind tunnel simulation. These findings provide insight into planning road vegetation to reduce traffic-borne PM2.5 in roadside user zones in the local hot arid climate.

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The influence of roadside green belts and street canyon aspect ratios on air pollution dispersion and personal exposure

Cited by 15 publications

References 52 publications

The State of the Art in Visual Analytics for 3D Urban Data

The State of the Art in Visual Analytics for 3D Urban Data

Conceptual Framework for Planning Urban Roadside Vegetation to Enhance Air Quality for Roadside Users

Applicability of Vegetation to Reduce Traffic-Borne PM2.5 Concentration in Roadside User Zones in Hot Arid Climates: The Case of Central Doha, Qatar

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