Application of Land Use Regression to Identify Sources and Assess Spatial Variation in Urban SVOC Concentrations

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F13%3A00072316" target="_blank" >RIV/00216224:14310/13:00072316 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1021/es3043609" target="_blank" >http://dx.doi.org/10.1021/es3043609</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1021/es3043609" target="_blank" >10.1021/es3043609</a>

Result language
angličtina
Original language name
Application of Land Use Regression to Identify Sources and Assess Spatial Variation in Urban SVOC Concentrations
Original language description
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.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
DI - Pollution and air control
OECD FORD branch
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Project
<a href="/en/project/ED0001%2F01%2F01" target="_blank" >ED0001/01/01: CETOCOEN</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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