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Locating air quality monitoring stations utilizing computational fluid dynamics

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dc.contributor.author Jaeger, Martin
dc.contributor.author Adair, Desmond
dc.contributor.author Zhunussova, Meruyert
dc.date.accessioned 2017-01-06T09:27:24Z
dc.date.available 2017-01-06T09:27:24Z
dc.date.issued 2016-04-05
dc.identifier.citation 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.. DOI: 10.1109/SSFC.2016.7447880 ru_RU
dc.identifier.uri http://nur.nu.edu.kz/handle/123456789/2190
dc.description.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. ru_RU
dc.language.iso en ru_RU
dc.publisher Institute of Electrical and Electronics Engineers Inc. ru_RU
dc.rights Attribution-NonCommercial-ShareAlike 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/3.0/us/ *
dc.subject Air quality monitoring ru_RU
dc.subject Built environment Computational Fluid Dynamics (CFD) ru_RU
dc.subject Research Subject Categories::TECHNOLOGY::Electrical engineering, electronics and photonics ru_RU
dc.title Locating air quality monitoring stations utilizing computational fluid dynamics ru_RU
dc.type Article ru_RU
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Attribution-NonCommercial-ShareAlike 3.0 United States Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 3.0 United States