Analysis of vertical movement of particulate matter due to the stack effect in high-rise buildings

Park, Sowoo; Cui, Yun; Lim, Hyunwoo; Song, Doosam

doi:10.1016/j.atmosenv.2022.119113

Cited by 7 publications

(3 citation statements)

References 40 publications

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“…The nature of wind flow is determined by the shape of the building which can facilitate or inhibit the natural flow of wind. Based on research analyzing the vertical movement of particles due to the pile effect on high-rise buildings, it was found that the concentration of particulates in the vertical axis decreased toward the upper floors due to wall deposition (27). In addition, in a multi-mass building, the mass layout affects the level of air pollution.…”

Section: Discussionmentioning

confidence: 99%

Distribution of Motor Vehicle Volumes and Ambient Air Dust Levels in Hot Points of Yogyakarta City, Indonesia

Ardianto,

Dyah Prasetyawati,

Sudaryanto

2024

JKL

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Introduction: Yogyakarta City, Indonesia is a center for tourism, government, education, and the economy. In line with increasing mobility and transportation, this situation has a positive impact economically, but a negative impact in terms of air pollution due to vehicle emissions. Motorized vehicles contribute to air pollution reaching 66.34% of total pollution. PM2.5 is a critical parameter in the city of Yogyakarta. Methods: This research aims to determine the volume of motorized vehicle traffic and the distribution of dust levels in the ambient air of Yogyakarta City. Data collection used non-probability purposive sampling with the roadside method. Vehicle volume is mapped using hotspots and dust levels using interpolation. Results and Discussion: The average vehicle volume in the morning was 2,293.147 pcu/hour and in the afternoon it was 2,301.173 pcu/hour. The hotspot results showed that the volume of motorized vehicles in the morning category was very high at 2,921.600-5,655 pcu/hour and in the afternoon it was 3,678.800-4,558 pcu/hour. The average dust content in the morning is 0.10667 grams/m3 and in the afternoon it is 0.10240 grams/m3. The interpolation results showed that the distribution of dust levels in the very high category in the morning was 0.17000-0.20000 grams/m3 and in the afternoon it was 0.21000-0.26000 grams/m3. Conclusion: The highest average volume of vehicles occurs in the afternoon while the highest total dust content occurs in the morning.

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Section: Discussionmentioning

confidence: 99%

Distribution of Motor Vehicle Volumes and Ambient Air Dust Levels in Hot Points of Yogyakarta City, Indonesia

Ardianto,

Dyah Prasetyawati,

Sudaryanto

2024

JKL

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“…(12,3), (12,4), (13,3), (13,4), (14,3), (14,4), (15,3) (15,4), (16,3), (16,4), Building B (Typical floor) H2…”

Section: Z6mentioning

confidence: 99%

“…Airflows between internal zones and between indoor and outdoor spaces can cause problems in relation to indoor environmental quality (IEQ) and building energy consumption, such as air pollutant transfer [1][2][3], excessive energy consumption due to air infiltration [4][5][6][7], as well as occupants' discomfort [8,9]. The key to mitigating these problems is to investigate in real time the variations in indoor environmental parameters such as the concentration of air pollutants, temperature, humidity, and the absolute pressure.…”

Section: Introductionmentioning

confidence: 99%

A Sensing-Based Visualization Method for Representing Pressure Distribution in a Multi-Zone Building by Floor

Jing

Lee

Joe

et al. 2023

Sensors

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Airflow in a multi-zone building can be a major cause of pollutant transfer, excessive energy consumption, and occupants discomfort. The key to monitoring airflows and mitigating related problems is to obtain a comprehensive understanding of pressure relationships within the buildings. This study proposes a visualization method for representing pressure distribution within a multi-zone building by using a novel pressure-sensing system. The system consists of a Master device and a couple of Slave devices that are connected with each other by a wireless sensor network. A 4-story office building and a 49-story residential building were installed with the system to detect pressure variations. The spatial and numerical mapping relationships of each zone were further determined through grid-forming and coordinate-establishing processes for the building floor plan. Lastly, 2D and 3D visualized pressure mappings of each floor were generated, illustrating the pressure difference and spatial relationship between adjacent zones. It is expected that the pressure mappings derived from this study will allow building operators to intuitively perceive the pressure variations and the spatial layouts of the zones. These mappings also make it possible for operators to diagnose the differences in pressure conditions between adjacent zones and plan a control scheme for the HVAC system more efficiently.

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A novel method for evaluating stack pressure in real high-rise buildings: Optimization of measurement points

Jing,

Ji,

Yoon

et al. 2024

Building and Environment

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Analysis of vertical movement of particulate matter due to the stack effect in high-rise buildings

Cited by 7 publications

References 40 publications

Distribution of Motor Vehicle Volumes and Ambient Air Dust Levels in Hot Points of Yogyakarta City, Indonesia

Distribution of Motor Vehicle Volumes and Ambient Air Dust Levels in Hot Points of Yogyakarta City, Indonesia

A Sensing-Based Visualization Method for Representing Pressure Distribution in a Multi-Zone Building by Floor

A novel method for evaluating stack pressure in real high-rise buildings: Optimization of measurement points

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