UNIVERSI
TÄ
TS-
BIBLIOTHEK
P
ADERBORN
Anmelden
Menü
Menü
Start
Hilfe
Blog
Weitere Dienste
Neuerwerbungslisten
Fachsystematik Bücher
Erwerbungsvorschlag
Bestellung aus dem Magazin
Fernleihe
Einstellungen
Sprache
Deutsch
Deutsch
Englisch
Farbschema
Hell
Dunkel
Automatisch
Sie befinden Sich nicht im Netzwerk der Universität Paderborn. Der Zugriff auf elektronische Ressourcen ist
gegebenenfalls
nur via VPN oder Shibboleth (DFN-AAI) möglich.
mehr Informationen...
Universitätsbibliothek
Katalog
Suche
Details
Zur Ergebnisliste
Ergebnis 11 von 321
Datensatz exportieren als...
BibTeX
Source contributions and spatiotemporal characteristics of PAHs in sediments: Using three‐way source apportionment approach
Environmental toxicology and chemistry, 2014-08, Vol.33 (8), p.1747-1753
Tian, Ying‐Ze
Shi, Guo‐Liang
Liu, Gui‐Rong
Guo, Chang‐Sheng
Peng, Xing
Xu, Jian
Zhang, Yuan
Feng, Yin‐Chang
2014
Volltextzugriff (PDF)
Details
Autor(en) / Beteiligte
Tian, Ying‐Ze
Shi, Guo‐Liang
Liu, Gui‐Rong
Guo, Chang‐Sheng
Peng, Xing
Xu, Jian
Zhang, Yuan
Feng, Yin‐Chang
Titel
Source contributions and spatiotemporal characteristics of PAHs in sediments: Using three‐way source apportionment approach
Ist Teil von
Environmental toxicology and chemistry, 2014-08, Vol.33 (8), p.1747-1753
Ort / Verlag
United States: Pergamon
Erscheinungsjahr
2014
Quelle
MEDLINE
Beschreibungen/Notizen
Polycyclic aromatic hydrocarbon (PAHs) were measured in sediments from 29 sites throughout Taihu Lake in China during 2 seasons to investigate spatiotemporal characteristics and source contributions using a 3‐way source apportionment approach to positive matrix factorization (PMF3). Seasonal and spatial variations of levels and toxicity suggested higher individual carcinogenic PAH concentrations and toxic equivalent quantity (TEQ) in the flooding season. Three‐way PAHs dataset (PAH species, spatial variability, and seasonal variability) was analyzed by PMF3, and its results were compared with a widely used 2‐way model (PMF2). Consistent results were observed: vehicular emission was the most important contributor (67.08% by PMF2 and 61.83% by PMF3 for the flooding season; 54.21% by PMF2 and 52.94% by PMF3 for dry season), followed by coal combustion and wood combustion in both seasons. The PMF‐cluster analysis was employed to investigate spatial variability of source contributions. Findings can introduce the 3‐way approach to apportion sources of PAHs and other persistent organic pollutants (POPs) in sediments, offering the advantage of accounting for information on 3‐way datasets. Environ Toxicol Chem 2014;33:1747–1753. © 2014 SETAC
Sprache
Englisch
Identifikatoren
ISSN: 0730-7268
eISSN: 1552-8618
DOI: 10.1002/etc.2628
Titel-ID: cdi_proquest_miscellaneous_1671604962
Format
–
Schlagworte
carcinogenicity
,
China
,
Cluster Analysis
,
coal
,
Coal - analysis
,
Combustion
,
Contaminated sediments
,
data collection
,
dry season
,
Environmental Monitoring - methods
,
Environmental Pollutants - analysis
,
Environmental Pollutants - toxicity
,
Flooding
,
Geologic Sediments - chemistry
,
Hydrocarbons
,
lakes
,
Lakes - chemistry
,
Models, Statistical
,
persistent organic pollutants
,
Pollution sources
,
Polyallylamine hydrochloride
,
Polycyclic aromatic hydrocarbon (PAHs)
,
Polycyclic aromatic hydrocarbons
,
Polycyclic Aromatic Hydrocarbons - analysis
,
Polycyclic Aromatic Hydrocarbons - toxicity
,
Positive matrix factorization
,
seasonal variation
,
Seasons
,
Sediment
,
Sediments
,
Source
,
Spatio-Temporal Analysis
,
Toxicity
,
Toxicology
,
Vehicle Emissions - analysis
,
Water pollution
,
wood
Weiterführende Literatur
Empfehlungen zum selben Thema automatisch vorgeschlagen von
bX