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 AbstractAndrogen steroids associated with boar odour as an aid to the detection of oestrus in pig artificial insemination    Next AbstractCurrent challenges in air sampling of semivolatile organic contaminants: sampling artifacts and their influence on data comparability »

Environ Sci Technol


Title:Application of land use regression to identify sources and assess spatial variation in urban SVOC concentrations
Author(s):Melymuk L; Robson M; Helm PA; Diamond ML;
Address:"Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, Canada"
Journal Title:Environ Sci Technol
Year:2013
Volume:20130208
Issue:4
Page Number:1887 - 1895
DOI: 10.1021/es3043609
ISSN/ISBN:1520-5851 (Electronic) 0013-936X (Linking)
Abstract:"Land use regression (LUR), a geographic information system (GIS), and measured air concentrations were used to identify potential sources of semivolatile organic contaminants (SVOCs) within an urban/suburban region, using Toronto, Canada as a case study. Regression results suggested that air concentrations of polychlorinated biphenyls (PCBs), polybrominated diphenyl ethers (PBDEs), polycyclic aromatic hydrocarbons (PAHs), and polycyclic musks (PCMs) were correlated with sources at a scale of <5 km. LUR was able to explain 73-90% of the variability in PCBs and PCMs, and 36-89% of PBDE and PAH variability, suggesting that the latter have more spatially complex emission sources, particularly for the lowest and highest molecular weight compounds/congeners. LUR suggested that ~75% of the PCB air concentration variability was related to the distribution of PCBs in use/storage/building sealants, ~60% of PBDE variability was related to building volume, ~55% of the PAH variability was related to the distribution of transportation infrastructure, and ~65% of the PCM variability was related to population density. Parameters such as population density and household income were successfully used as surrogates to infer sources and air concentrations of SVOCs in Toronto. This is the first application of LUR methods to explain SVOC concentrations"
Keywords:Air Pollutants/*analysis Cities/statistics & numerical data Halogenated Diphenyl Ethers/analysis Polychlorinated Biphenyls/analysis Polycyclic Aromatic Hydrocarbons/analysis Regression Analysis Volatile Organic Compounds/*analysis;
Notes:"MedlineMelymuk, Lisa Robson, Matthew Helm, Paul A Diamond, Miriam L eng Research Support, Non-U.S. Gov't 2013/01/25 Environ Sci Technol. 2013 Feb 19; 47(4):1887-95. doi: 10.1021/es3043609. Epub 2013 Feb 8"

 
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 16-11-2024