Locating air quality monitoring stations utilizing computational fluid dynamics
| 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.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.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.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 |