Different Forensic Approaches for Hydrocarbons Sources Identification in an Urban Cluster Environment: Guanabara Bay

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

Standard

Different Forensic Approaches for Hydrocarbons Sources Identification in an Urban Cluster Environment : Guanabara Bay. / Meniconi, Maria de F.G.; Wagener, Angela de L.R.; Christensen, Jan H.

Oil Spill Environmental Forensics Case Studies. Elsevier, 2018. p. 563-591.

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

Harvard

Meniconi, MDFG, Wagener, ADLR & Christensen, JH 2018, Different Forensic Approaches for Hydrocarbons Sources Identification in an Urban Cluster Environment: Guanabara Bay. in Oil Spill Environmental Forensics Case Studies. Elsevier, pp. 563-591. https://doi.org/10.1016/B978-0-12-804434-6.00026-4

APA

Meniconi, M. D. F. G., Wagener, A. D. L. R., & Christensen, J. H. (2018). Different Forensic Approaches for Hydrocarbons Sources Identification in an Urban Cluster Environment: Guanabara Bay. In Oil Spill Environmental Forensics Case Studies (pp. 563-591). Elsevier. https://doi.org/10.1016/B978-0-12-804434-6.00026-4

Vancouver

Meniconi MDFG, Wagener ADLR, Christensen JH. Different Forensic Approaches for Hydrocarbons Sources Identification in an Urban Cluster Environment: Guanabara Bay. In Oil Spill Environmental Forensics Case Studies. Elsevier. 2018. p. 563-591 https://doi.org/10.1016/B978-0-12-804434-6.00026-4

Author

Meniconi, Maria de F.G. ; Wagener, Angela de L.R. ; Christensen, Jan H. / Different Forensic Approaches for Hydrocarbons Sources Identification in an Urban Cluster Environment : Guanabara Bay. Oil Spill Environmental Forensics Case Studies. Elsevier, 2018. pp. 563-591

Bibtex

@inbook{e893503d28b34a98a1081cb83a61c9e0,
title = "Different Forensic Approaches for Hydrocarbons Sources Identification in an Urban Cluster Environment: Guanabara Bay",
abstract = "Guanabara Bay situated in Rio de Janeiro, Brazil, is a chronically contaminated tropical estuarine system surrounded by highly urbanized and industrialized area. Hydrocarbon inputs related to anthropogenic activities have been constant, including domestic and industrial wastes, petroleum industry activities, shipping traffic and deposition of vehicular emission, and fossil fuels combustion. Moreover, there was a major oil spill in January 2000, which released 1300m3 of marine heavy fuel oil in the Bay. Due to the multiple hydrocarbon sources and to transformations of original compounds under the tropical conditions, hydrocarbon source assignment is not trivial. The present chapter reports and evaluates three different approaches applied for source hydrocarbon identification in Guanabara Bay sediments collected between 2005 and 2007. One approach was based on gas chromatography - flame ionization detector (GC-FID) and gas chromatography - mass spectrometry (GC-MS) hydrocarbons quantitative analyses and the application of environmental geochemistry interpretation of the data, including diagnostic ratios and double log-log plots. The second approach applied multivariate analysis to the GC-MS quantitative data. The third approach was based on a combination of semiquantitative polycyclic aromatic hydrocarbon (PAH) analyses and application of multivariate data analysis of preprocessed sections of selected GC-MS chromatograms ({"}the CHEMSIC method{"}). All methodologies have shown their particular effectiveness for hydrocarbon source discrimination and source identification of PAHs in Guanabara Bay sediments.",
keywords = "Chemometric analysis, Diagnostic ratios, Estuarine ecosystem, Multivariate statistical analysis, PAH, Preprocessed sections of selected ion chromatograms, Principal Component Analysis (PCA), Sediment",
author = "Meniconi, {Maria de F.G.} and Wagener, {Angela de L.R.} and Christensen, {Jan H.}",
year = "2018",
doi = "10.1016/B978-0-12-804434-6.00026-4",
language = "English",
isbn = "9780128044346",
pages = "563--591",
booktitle = "Oil Spill Environmental Forensics Case Studies",
publisher = "Elsevier",
address = "Netherlands",

}

RIS

TY - CHAP

T1 - Different Forensic Approaches for Hydrocarbons Sources Identification in an Urban Cluster Environment

T2 - Guanabara Bay

AU - Meniconi, Maria de F.G.

AU - Wagener, Angela de L.R.

AU - Christensen, Jan H.

PY - 2018

Y1 - 2018

N2 - Guanabara Bay situated in Rio de Janeiro, Brazil, is a chronically contaminated tropical estuarine system surrounded by highly urbanized and industrialized area. Hydrocarbon inputs related to anthropogenic activities have been constant, including domestic and industrial wastes, petroleum industry activities, shipping traffic and deposition of vehicular emission, and fossil fuels combustion. Moreover, there was a major oil spill in January 2000, which released 1300m3 of marine heavy fuel oil in the Bay. Due to the multiple hydrocarbon sources and to transformations of original compounds under the tropical conditions, hydrocarbon source assignment is not trivial. The present chapter reports and evaluates three different approaches applied for source hydrocarbon identification in Guanabara Bay sediments collected between 2005 and 2007. One approach was based on gas chromatography - flame ionization detector (GC-FID) and gas chromatography - mass spectrometry (GC-MS) hydrocarbons quantitative analyses and the application of environmental geochemistry interpretation of the data, including diagnostic ratios and double log-log plots. The second approach applied multivariate analysis to the GC-MS quantitative data. The third approach was based on a combination of semiquantitative polycyclic aromatic hydrocarbon (PAH) analyses and application of multivariate data analysis of preprocessed sections of selected GC-MS chromatograms ("the CHEMSIC method"). All methodologies have shown their particular effectiveness for hydrocarbon source discrimination and source identification of PAHs in Guanabara Bay sediments.

AB - Guanabara Bay situated in Rio de Janeiro, Brazil, is a chronically contaminated tropical estuarine system surrounded by highly urbanized and industrialized area. Hydrocarbon inputs related to anthropogenic activities have been constant, including domestic and industrial wastes, petroleum industry activities, shipping traffic and deposition of vehicular emission, and fossil fuels combustion. Moreover, there was a major oil spill in January 2000, which released 1300m3 of marine heavy fuel oil in the Bay. Due to the multiple hydrocarbon sources and to transformations of original compounds under the tropical conditions, hydrocarbon source assignment is not trivial. The present chapter reports and evaluates three different approaches applied for source hydrocarbon identification in Guanabara Bay sediments collected between 2005 and 2007. One approach was based on gas chromatography - flame ionization detector (GC-FID) and gas chromatography - mass spectrometry (GC-MS) hydrocarbons quantitative analyses and the application of environmental geochemistry interpretation of the data, including diagnostic ratios and double log-log plots. The second approach applied multivariate analysis to the GC-MS quantitative data. The third approach was based on a combination of semiquantitative polycyclic aromatic hydrocarbon (PAH) analyses and application of multivariate data analysis of preprocessed sections of selected GC-MS chromatograms ("the CHEMSIC method"). All methodologies have shown their particular effectiveness for hydrocarbon source discrimination and source identification of PAHs in Guanabara Bay sediments.

KW - Chemometric analysis

KW - Diagnostic ratios

KW - Estuarine ecosystem

KW - Multivariate statistical analysis

KW - PAH

KW - Preprocessed sections of selected ion chromatograms

KW - Principal Component Analysis (PCA)

KW - Sediment

U2 - 10.1016/B978-0-12-804434-6.00026-4

DO - 10.1016/B978-0-12-804434-6.00026-4

M3 - Book chapter

SN - 9780128044346

SP - 563

EP - 591

BT - Oil Spill Environmental Forensics Case Studies

PB - Elsevier

ER -

ID: 227437398