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Detalle de: Chemometrics analysis of petroleum hydrocarbons sources in the street dust, runoff and sediment of urban rivers in Anzali port - South of Caspian Sea

Title Chemometrics analysis of petroleum hydrocarbons sources in the street dust, runoff and sediment of urban rivers in Anzali port - South of Caspian Sea
Abstract

Major sources of petroleum hydrocarbons in the south of Caspian Sea (Anzali city) have been investigated through an approach which combines Gas Chromatography-Mass Spectrometry with Principal Component Analysis (PCA) and Multivariate Curve Resolution-Alternating Least Squares chemometric methods. Terpane, catagenetic hopane and sterane hydrocarbons were analyzed in the street dust, filtered sediments of runoff, soluble runoff water and river sediment samples as well as in automobiles exhaust, tires, asphalt, engine oil, gasoline and diesel samples, as possible sources of these hydrocarbons. PCA and MCR-ALS results showed that a large part of the analyzed hydrocarbons in street dust, runoffs and in some of the river sediment samples can be explained by the proposed known sources, while the observed variation of hydrocarbon concentrations in many of the river sediment samples was not much affected by the proposed known sources, and they were most probably receiving other pollution sources not included in our study. This study also has shown that results obtained from hydrocarbon marker molecular ratios, to identify petroleum pollution sources in the environments, are in agreement with those obtained from pollution sources resolved by MCR-ALS simultaneous analysis of all samples and variables.

Apa Reference Azimi, A., Bakhtiari, A.R. & Tauler, R. (2018). Chemometrics analysis of petroleum hydrocarbons sources in the street dust, runoff and sediment of urban rivers in Anzali port - South of Caspian Sea. Environmental Pollution, 243, 374-382. 10.1016/j.envpol.2018.08.073
Doi 10.1016/j.envpol.2018.08.073
Publication Date Dec 2018
Publication Type Article
Researcher Romá Tauler
Ontology Multivariate statistics, Marine Systems, Dimensionality reduction
Research Groups
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