Locating air quality monitoring stations utilizing computational fluid dynamics

Martin Jaeger, Desmond Adair, Meruyert Zhunussova

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

With the advancement of high-resolution Computational Fluid Dynamics (CFD), measurements of variables related to the urban environment, such as air quality, can be optimized. Regarding smart solutions for the future cities, CFD allows for the optimizing of location for instrumentation to monitor air quality in order to facilitate optimized measures to counteract any potential detrimental effect on the local populations' health, at relatively low cost. To illustrate the power and efficiency of CFD this paper reports on a study in Kuwait of the dispersion of CO2 gas. Based on the case of dispersion of CO2 emanating from traffic in a busy street and in the vicinity of a complex configuration of buildings located in Salmiya, Kuwait City, the suggested location for installing air quality monitoring instrumentation has been identified for two situations: before and after adding a new building. Before adding the new building, the highest CO2 concentration was found in the immediate proximity of the residential buildings some 200 m South-East of the main street. After adding the new building, the highest CO2 concentration was found on the windward side of the new building immediately next to the main street. The new configuration of buildings suggests a new location for any air quality monitoring instrumentation in order to measure the highest concentration of air pollution.

Original languageEnglish
Title of host publication2016 Smart Solutions for Future Cities
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467388351
DOIs
Publication statusPublished - Apr 5 2016
EventSmart Solutions for Future Cities 2016 - Kuwait, Kuwait
Duration: Feb 7 2016Feb 9 2016

Other

OtherSmart Solutions for Future Cities 2016
CountryKuwait
CityKuwait
Period2/7/162/9/16

Fingerprint

new building
computational fluid dynamics
instrumentation
air
monitoring
Kuwait
air quality
building
residential building
local population
atmospheric pollution
air pollution
traffic
gas
cost
efficiency
air quality monitoring
monitoring station
costs
health

Keywords

  • Air quality monitoring
  • Built environment Computational Fluid Dynamics (CFD)

ASJC Scopus subject areas

  • Urban Studies

Cite this

Jaeger, M., Adair, D., & Zhunussova, M. (2016). Locating air quality monitoring stations utilizing computational fluid dynamics. In 2016 Smart Solutions for Future Cities [7447880] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SSFC.2016.7447880

Locating air quality monitoring stations utilizing computational fluid dynamics. / Jaeger, Martin; Adair, Desmond; Zhunussova, Meruyert.

2016 Smart Solutions for Future Cities. Institute of Electrical and Electronics Engineers Inc., 2016. 7447880.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Jaeger, M, Adair, D & Zhunussova, M 2016, Locating air quality monitoring stations utilizing computational fluid dynamics. in 2016 Smart Solutions for Future Cities., 7447880, Institute of Electrical and Electronics Engineers Inc., Smart Solutions for Future Cities 2016, Kuwait, Kuwait, 2/7/16. https://doi.org/10.1109/SSFC.2016.7447880
Jaeger M, Adair D, Zhunussova M. Locating air quality monitoring stations utilizing computational fluid dynamics. In 2016 Smart Solutions for Future Cities. Institute of Electrical and Electronics Engineers Inc. 2016. 7447880 https://doi.org/10.1109/SSFC.2016.7447880
Jaeger, Martin ; Adair, Desmond ; Zhunussova, Meruyert. / Locating air quality monitoring stations utilizing computational fluid dynamics. 2016 Smart Solutions for Future Cities. Institute of Electrical and Electronics Engineers Inc., 2016.
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