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

J 2013

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

MELYMUK, Lisa Emily; M. ROBSON; P.A. WILHELM a M.L. DIAMOND

Základní údaje

Originální název

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

Autoři

MELYMUK, Lisa Emily ; M. ROBSON; P.A. WILHELM a M.L. DIAMOND

Vydání

ENVIRONMENTAL SCIENCE & TECHNOLOGY, WASHINGTON, AMER CHEMICAL SOC, 2013, 0013-936X

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10511 Environmental sciences

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Impakt faktor

Impact factor: 5.481

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14310/13:00072316

Organizační jednotka

Přírodovědecká fakulta

DOI

https://doi.org/10.1021/es3043609

UT WoS

000315326700014

Klíčová slova anglicky

POLYCYCLIC AROMATIC-HYDROCARBONS; POLYBROMINATED DIPHENYL ETHERS; HISTORICAL EMISSION INVENTORY; GREAT-LAKES BASIN; POLYCHLORINATED-BIPHENYLS; PCB CONGENERS; METROPOLITAN-AREA; SEASONAL TRENDS; MUSK FRAGRANCES; UNITED-STATES

Štítky

AKR, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 28. 3. 2014 10:33, Ing. Andrea Mikešková

Anotace

V originále

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 similar to 75% of the PCB air concentration variability was related to the distribution of PCBs in use/storage/building sealants, similar to 60% of PBDE variability was related to building volume, similar to 55% of the PAH variability was related to the distribution of transportation infrastructure, and similar to 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.

Návaznosti

ED0001/01/01, projekt VaV

Název: CETOCOEN

Citovat

MELYMUK, Lisa Emily; M. ROBSON; P.A. WILHELM a M.L. DIAMOND. Application of Land Use Regression to Identify Sources and Assess Spatial Variation in Urban SVOC Concentrations. ENVIRONMENTAL SCIENCE & TECHNOLOGY. WASHINGTON: AMER CHEMICAL SOC, 2013, roč. 47, č. 4, s. 1887-1895. ISSN 0013-936X. Dostupné z: https://doi.org/10.1021/es3043609.

@article{1166936,
   author = {Melymuk, Lisa Emily and Robson, M. and Wilhelm, P.A. and Diamond, M.L.},
   article_location = {WASHINGTON},
   article_number = {4},
   doi = {https://doi.org/10.1021/es3043609},
   keywords = {POLYCYCLIC AROMATIC-HYDROCARBONS; POLYBROMINATED DIPHENYL ETHERS; HISTORICAL EMISSION INVENTORY; GREAT-LAKES BASIN; POLYCHLORINATED-BIPHENYLS; PCB CONGENERS; METROPOLITAN-AREA; SEASONAL TRENDS; MUSK FRAGRANCES; UNITED-STATES},
   language = {eng},
   issn = {0013-936X},
   journal = {ENVIRONMENTAL SCIENCE & TECHNOLOGY},
   title = {Application of Land Use Regression to Identify Sources and Assess Spatial Variation in Urban SVOC Concentrations},
   volume = {47},
   year = {2013}
}

TY  - JOUR
ID  - 1166936
AU  - Melymuk, Lisa Emily - Robson, M. - Wilhelm, P.A. - Diamond, M.L.
PY  - 2013
TI  - Application of Land Use Regression to Identify Sources and Assess Spatial Variation in Urban SVOC Concentrations
JF  - ENVIRONMENTAL SCIENCE & TECHNOLOGY
VL  - 47
IS  - 4
SP  - 1887-1895
EP  - 1887-1895
PB  - AMER CHEMICAL SOC
SN  - 0013936X
KW  - POLYCYCLIC AROMATIC-HYDROCARBONS
KW  - POLYBROMINATED DIPHENYL ETHERS
KW  - HISTORICAL EMISSION INVENTORY
KW  - GREAT-LAKES BASIN
KW  - POLYCHLORINATED-BIPHENYLS
KW  - PCB CONGENERS
KW  - METROPOLITAN-AREA
KW  - SEASONAL TRENDS
KW  - MUSK FRAGRANCES
KW  - UNITED-STATES
N2  - 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 similar to 75% of the PCB air concentration variability was related to the distribution of PCBs in use/storage/building sealants, similar to 60% of PBDE variability was related to building volume, similar to 55% of the PAH variability was related to the distribution of transportation infrastructure, and similar to 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.
ER  -

MELYMUK, Lisa Emily; M. ROBSON; P.A. WILHELM a M.L. DIAMOND. Application of Land Use Regression to Identify Sources and Assess Spatial Variation in Urban SVOC Concentrations. \textit{ENVIRONMENTAL SCIENCE \&{}amp; TECHNOLOGY}. WASHINGTON: AMER CHEMICAL SOC, 2013, roč.~47, č.~4, s.~1887-1895. ISSN~0013-936X. Dostupné z: https://doi.org/10.1021/es3043609.

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