Physio-chemical modeling of the NOx-O3 photochemical cycle and the air pollutants’ reactive dispersion around an isolated building

Yunfei Fu, Xisheng Lin, Xing Zheng, Liangzhu Wang, Chun-Ho Liu, Xuelin Zhang, Cruz Y. Li*, K.T. Tse*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

9 Citations (Scopus)

Abstract

A numerical physio-chemical model of the NOx-O3 photochemical cycle in the near-wake region of an isolated residential/office building has been presented in this study. The investigation delves into the dispersion of reactive air pollutants through the lens of fluid phenomenology and its impact on chemical reactivity, formation, transport, deposition, and removal. Computational fluid dynamics (CFD) simulations were conducted for the ground-point-source (GES) and roof-point-source (RES) scenarios. Results show that the Damköhler number (Da), which quantifies pollutants’ physio-chemical timescales, displays a strong inverse proportionality with the magnitude and spread of NO-increasing Da reduces human exposure to the toxic NO and NO2 substantially. When different wind directions were considered, the dispersion range of NO exhibited varying shrinking directions as Da increased. Furthermore, as Da increases, the concentration ratio KNO2/KNOx which quantifies the production of NO2 resulting from NO depletion, forms sharp high-low gradients near emission sources. For GES, the dispersion pattern is governed by the fluid’s phenomenological features. For RES, the intoxicated area emanates from the building’s leading-edge, with the lack of shielding inhibiting pollutant interactions in the near-wake, resulting in scant physio-chemical coupling. The NO2/NOx distribution follows a self-similar, stratified pattern, exhibiting consistent layering gradients and attributing to the natural deposition of the already-reacted pollutants rather than in-situ reactions. In the end, building design guidelines have been proposed to reduce pedestrian and resident exposure to NOx-O3. © Tsinghua University Press 2023.

Original languageEnglish
Pages (from-to)1735-1758
Number of pages24
JournalBuilding Simulation
Volume16
Issue number9
Online published19 Aug 2023
DOIs
Publication statusPublished - Sept 2023
Externally publishedYes

Funding

The work described in this paper was supported by the Research Grants Council of the Hong Kong Special Administrative Region, China (Project No. C7064-18G). Research Grants Council of the Hong Kong Special Administrative Region, China (Project No. 16207118 and No. 16211821). This work is also partly supported by the Natural Science Foundation of Chongqing, China (Project No. cstc2019jcyj-msxmX0565 and No. cstc2020jcyj-msxmX0921), the Key Project of Technological Innovation and Application Development in Chongqing (Project No. cstc2019jscx-gksbX0017), and the Innovation Group Project of Southern Marine Science and Engineering Guangdong Laboratory (Project No. 311020001). We would like to express our gratitude to the IT Office of the Department of Civil and Environmental Engineering at the Hong Kong University of Science and Technology for their invaluable assistance in the installation, testing, and maintenance of our high-performance servers. Additionally, Xing Zheng would like to acknowledge the support of Future Cities Lab Global at Singapore-ETH Centre. Future Cities Lab Global is supported and funded by the National Research Foundation, Prime Minister’s Office, Singapore under its Campus for Research Excellence and Technological Enterprise (CREATE) programme and ETH Zurich (ETHZ). We would like to express our gratitude to the IT Office of the Department of Civil and Environmental Engineering at the Hong Kong University of Science and Technology for their invaluable assistance in the installation, testing, and maintenance of our high-performance servers. Additionally, Xing Zheng would like to acknowledge the support of Future Cities Lab Global at Singapore-ETH Centre. Future Cities Lab Global is supported and funded by the National Research Foundation, Prime Minister’s Office, Singapore under its Campus for Research Excellence and Technological Enterprise (CREATE) programme and ETH Zurich (ETHZ).

Research Keywords

  • air pollution
  • isolated building
  • NO-O cycle
  • physio-chemical modelling
  • reactive pollutant dispersion

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