Publication result detail

Impact of wind-induced resuspension on urban air quality: a CFD study with air quality data comparison

LINDA, J.; HASEČIČ, A.; POSPÍŠIL, J.; KUDELA, L.; BRZEZINA, J.

Original Title

Impact of wind-induced resuspension on urban air quality: a CFD study with air quality data comparison

English Title

Impact of wind-induced resuspension on urban air quality: a CFD study with air quality data comparison

Type

WoS Article

Original Abstract

Wind-induced particulate matter (PM) resuspension is an increasingly recognized contributor to urban air pollution. A CFD model of 2D street canyon geometry was developed that can replicate the process of resuspension. Model created the wind speed vs concentration increase due to resuspension relationship and its key properties: threshold wind speed causing resuspension (TWSR) and concentration increase. At least 8.75 m/s in 10 m height inlet wind speed before street canyons was needed to start the resuspension, leading to PM10 concentrations often exceeding 1 mu g/m(3), with peak values reaching as high as 3 mu g/m(3). The model can predict the behavior of resuspension well, but it cannot capture all the factors acting in the real environment to match precisely the air quality data. Silt load remains the greatest unknown factor in determining the overall magnitude of resuspension, with observed increases in PM10 concentrations up to 6 mu g/m(3) in air quality data.

English abstract

Wind-induced particulate matter (PM) resuspension is an increasingly recognized contributor to urban air pollution. A CFD model of 2D street canyon geometry was developed that can replicate the process of resuspension. Model created the wind speed vs concentration increase due to resuspension relationship and its key properties: threshold wind speed causing resuspension (TWSR) and concentration increase. At least 8.75 m/s in 10 m height inlet wind speed before street canyons was needed to start the resuspension, leading to PM10 concentrations often exceeding 1 mu g/m(3), with peak values reaching as high as 3 mu g/m(3). The model can predict the behavior of resuspension well, but it cannot capture all the factors acting in the real environment to match precisely the air quality data. Silt load remains the greatest unknown factor in determining the overall magnitude of resuspension, with observed increases in PM10 concentrations up to 6 mu g/m(3) in air quality data.

Keywords

Resuspension; CFD; model; PM; particles; validation

Key words in English

Resuspension; CFD; model; PM; particles; validation

Authors

LINDA, J.; HASEČIČ, A.; POSPÍŠIL, J.; KUDELA, L.; BRZEZINA, J.

Released

25.02.2025

Publisher

NATURE PORTFOLIO

Location

BERLIN

ISBN

2397-3722

Periodical

npj Climate and Atmospheric Science

Volume

8

Number

1

State

United Kingdom of Great Britain and Northern Ireland

Pages from

1

Pages to

14

Pages count

14

URL

http://nature.com/articles/s41612-025-00969-2

Full text in the Digital Library

http://hdl.handle.net/11012/250773

BibTex

@article{BUT197378,
  author="Jakub {Linda} and Amra {Hasečič} and Jiří {Pospíšil} and Libor {Kudela} and Jáchym {Brzezina}",
  title="Impact of wind-induced resuspension on urban air quality: a CFD study with air quality data comparison",
  journal="npj Climate and Atmospheric Science",
  year="2025",
  volume="8",
  number="1",
  pages="1--14",
  doi="10.1038/s41612-025-00969-2",
  issn="2397-3722",
  url="http://nature.com/articles/s41612-025-00969-2"
}

Documents

s41612-025-00969-2