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A System for Measuring Vertical Concentration Profiles of Gaseous Pollutants, Using Carbon Dioxide as a Case Study

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
An electronically-controlled sampling system, characterised by its organ pipe design, has been developed for sampling air sequentially, at different heights within the breathing zone. Data are automatically logged at the different receptor levels, for the determination of the average vertical concentration profile of gaseous pollutants. The system has been coupled to a carbon dioxide monitor and used in a brief study of the spatial and temporal variation of indoor carbon dioxide concentration. The system can easily be extended for different heights or modified for use with other types of gas monitor. The results of a trial run, which was carried out in a coffee room, are presented and applications of the Organ Pipe Sequential Sampling (OPSS) system are discussed.
Rocznik
Strony
333--346
Opis fizyczny
Bibliogr. 14 poz., rys., wykr.
Twórcy
autor
  • University of Nottingham, United Kingdom
  • University of Nottingham, United Kingdom
autor
  • University of Nottingham, United Kingdom
Bibliografia
  • 1.Committee on Advances in Assessing Human Exposure to Airborne Pollutants, Board on Environmental Studies and Toxicology, Commission on Geosciences, Environment, and Resources, & National Research Council. (1991). Human exposure assessment for airborne pollutants. Washington, DC: National Academy of Sciences.
  • 2.Haghighat, F., & Donnini, G. (1992). IAQ and energy management by demand controlled ventilation. Environmental Technology, 13, 351-359.
  • 3.Haghighat, F., & Donnini, G. (1993). Conventional vs. CO2 demand controlled ventilation systems. Journal of Thermal Biology, 18, 519-522.
  • 4.Hung, I.F., & Derossis, P. (1989). Carbon dioxide concentration as indicator of indoor air quality. Journal of Environmental Science and Health. Part A: Environmental Science and Engineering, 24, 379-388.
  • 5.Jankovic, J.T., Ihle, R., & Vick, D.O. (1996). Occupant generated carbon dioxide as a measure of dilution ventilation efficiency. American Industrial Hygiene Association Journal, 57, 756-759.
  • 6.Micallef, A., Deuchar, C.N., & Colls, J.J. (1998). Kinetic sequential sampling (KSS) system: An automated sampling system for measuring vertical concentration profiles of airborne particles. Journal of the Air and Waste Management Association, 48, 757-762.
  • 7.Monn, Ch., Carabias, V., Junker, M., Waeber, R., Karrer, M., & Wanner, H.U . (1997). Small-scale spatial variability of particulate matter < 10 (μm (PM 10) and nitrogen dioxide. Atmospheric Environment, 31, 2243-2247.
  • 8.Olcerst, R. (1994a). Measurement of outdoor and recirculated air percentages by carbon dioxide tracer. American Industrial Hygiene Association Journal, 55, 525-528.
  • 9.Olcerst, R. (1994b). A technique to use data loggers to measure effective ventilation and air exchange rates by carbon dioxide tracer. American Industrial Hygiene Association Journal, 55, 833-835.
  • 10.Olcerst, R. (1994c). Quantification of an indoor population by means of air exchange rates and carbon dioxide gas concentrations. American Industrial Hygiene Association Journal, 55, 1080-1083.
  • 11.Oldaker, G.B., Taylor, W.D., & Parrish, K.B. (1995). Investigations of ventilation rate, smoking activity and indoor air quality at 4 large office buildings. Environmental Technology, 16, 173-180.
  • 12.Ott, W.R. (1980). Models of human exposure to air pollution (SIMS Technical Report Number 32). Stanford, CA: Department of Statistics, Stanford University.
  • 13.Ott, W.R. (1981). Exposure estimates based on computer-generated activity patterns (Paper Number 81-57.6). In Proceedings of the 74th Annual Meeting of the Air Pollution Control Association, Philadelphia, 21-26 June. Pittsburgh, PA: Air Pollution Control Association.
  • 14.Vantklooster, C.E., & Heitlager, B.P. (1994). Determination of minimum ventilation rate in pig houses with natural ventilation based on carbon dioxide balance. Journal of Agricultural Engineering Research, 57, 279-287.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-6c72824b-b69f-4ab3-b8f3-01b1c767dffa
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