Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous AbstractEnvironmental fate of chlorpyrifos    Next AbstractEffect of biochar addition on the improvement of the quality parameters of compost used for land reclamation »

Indoor Air


Title:"Do time-averaged, whole-building, effective volatile organic compound (VOC) emissions depend on the air exchange rate? A statistical analysis of trends for 46 VOCs in U.S. offices"
Author(s):Rackes A; Waring MS;
Address:"Department of Civil, Architectural and Environmental Engineering, Drexel University, Philadelphia, PA, USA"
Journal Title:Indoor Air
Year:2016
Volume:20150615
Issue:4
Page Number:642 - 659
DOI: 10.1111/ina.12224
ISSN/ISBN:1600-0668 (Electronic) 0905-6947 (Linking)
Abstract:"We used existing data to develop distributions of time-averaged air exchange rates (AER), whole-building 'effective' emission rates of volatile organic compounds (VOC), and other variables for use in Monte Carlo analyses of U.S. offices. With these, we explored whether long-term VOC emission rates were related to the AER over the sector, as has been observed in the short term for some VOCs in single buildings. We fit and compared two statistical models to the data. In the independent emissions model (IEM), emissions were unaffected by other variables, while in the dependent emissions model (DEM), emissions responded to the AER via coupling through a conceptual boundary layer between the air and a lumped emission source. For 20 of 46 VOCs, the DEM was preferable to the IEM and emission rates, though variable, were higher in buildings with higher AERs. Most oxygenated VOCs and some alkanes were well fit by the DEM, while nearly all aromatics and halocarbons were independent. Trends by vapor pressure suggested multiple mechanisms could be involved. The factors of temperature, relative humidity, and building age were almost never associated with effective emission rates. Our findings suggest that effective emissions in real commercial buildings will be difficult to predict from deterministic experiments or models"
Keywords:"Air Pollution, Indoor/*analysis Environmental Monitoring Filtration/*statistics & numerical data Monte Carlo Method United States Volatile Organic Compounds/*analysis Workplace/*statistics & numerical data Chemical sources Commercial buildings Emissions m;"
Notes:"MedlineRackes, A Waring, M S eng Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. England 2015/05/27 Indoor Air. 2016 Aug; 26(4):642-59. doi: 10.1111/ina.12224. Epub 2015 Jun 15"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 05-12-2024