Crude Oil and Refined Product Fingerprinting: Applications

Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

Standard

Crude Oil and Refined Product Fingerprinting : Applications. / Wang, Zhendi; Christensen, Jan H.

Environmental Forensics: Contaminant Specific Guide. Elsevier Science Inc., 1964. p. 409-464.

Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review

Harvard

Wang, Z & Christensen, JH 1964, Crude Oil and Refined Product Fingerprinting: Applications. in Environmental Forensics: Contaminant Specific Guide. Elsevier Science Inc., pp. 409-464. https://doi.org/10.1016/B978-012507751-4/50039-2

APA

Wang, Z., & Christensen, J. H. (1964). Crude Oil and Refined Product Fingerprinting: Applications. In Environmental Forensics: Contaminant Specific Guide (pp. 409-464). Elsevier Science Inc.. https://doi.org/10.1016/B978-012507751-4/50039-2

Vancouver

Wang Z, Christensen JH. Crude Oil and Refined Product Fingerprinting: Applications. In Environmental Forensics: Contaminant Specific Guide. Elsevier Science Inc. 1964. p. 409-464 https://doi.org/10.1016/B978-012507751-4/50039-2

Author

Wang, Zhendi ; Christensen, Jan H. / Crude Oil and Refined Product Fingerprinting : Applications. Environmental Forensics: Contaminant Specific Guide. Elsevier Science Inc., 1964. pp. 409-464

Bibtex

@inbook{f3ec22dc5e0a47cca3a45b49a7c5c27c,
title = "Crude Oil and Refined Product Fingerprinting: Applications",
abstract = "In the past decade, use of biomarker fingerprinting techniques to study spilled oils has rapidly increased and biomarker parameters are playing a prominent role in almost all oil spill-related environmental forensic studies and investigations. This chapter discusses diagnostic ratios of biomarkers and cross-plots of biomarkers, unique biomarkers, weathering effects on biomarker distribution, and application of biomarker fingerprinting techniques for spill source identification, oil correlation, and differentiation using univariate and multivariate methods. Data analysis is an important part of chemical fingerprinting and a broad collection of statistical techniques are used for evaluation of data in real oil spill cases. Data evaluation techniques within environmental forensics and specifically for spill identification, oil correlation, and differentiation have traditionally centered on univariate methods and comparison of diagnostic ratios and complex profiles for subjective pattern matching. It can be anticipated that ongoing developments can further enhance the utility and defensibility of oil hydrocarbon fingerprinting.",
author = "Zhendi Wang and Christensen, {Jan H.}",
year = "1964",
month = jan,
day = "1",
doi = "10.1016/B978-012507751-4/50039-2",
language = "English",
isbn = "9780125077514",
pages = "409--464",
booktitle = "Environmental Forensics",
publisher = "Elsevier Science Inc.",
address = "United States",

}

RIS

TY - CHAP

T1 - Crude Oil and Refined Product Fingerprinting

T2 - Applications

AU - Wang, Zhendi

AU - Christensen, Jan H.

PY - 1964/1/1

Y1 - 1964/1/1

N2 - In the past decade, use of biomarker fingerprinting techniques to study spilled oils has rapidly increased and biomarker parameters are playing a prominent role in almost all oil spill-related environmental forensic studies and investigations. This chapter discusses diagnostic ratios of biomarkers and cross-plots of biomarkers, unique biomarkers, weathering effects on biomarker distribution, and application of biomarker fingerprinting techniques for spill source identification, oil correlation, and differentiation using univariate and multivariate methods. Data analysis is an important part of chemical fingerprinting and a broad collection of statistical techniques are used for evaluation of data in real oil spill cases. Data evaluation techniques within environmental forensics and specifically for spill identification, oil correlation, and differentiation have traditionally centered on univariate methods and comparison of diagnostic ratios and complex profiles for subjective pattern matching. It can be anticipated that ongoing developments can further enhance the utility and defensibility of oil hydrocarbon fingerprinting.

AB - In the past decade, use of biomarker fingerprinting techniques to study spilled oils has rapidly increased and biomarker parameters are playing a prominent role in almost all oil spill-related environmental forensic studies and investigations. This chapter discusses diagnostic ratios of biomarkers and cross-plots of biomarkers, unique biomarkers, weathering effects on biomarker distribution, and application of biomarker fingerprinting techniques for spill source identification, oil correlation, and differentiation using univariate and multivariate methods. Data analysis is an important part of chemical fingerprinting and a broad collection of statistical techniques are used for evaluation of data in real oil spill cases. Data evaluation techniques within environmental forensics and specifically for spill identification, oil correlation, and differentiation have traditionally centered on univariate methods and comparison of diagnostic ratios and complex profiles for subjective pattern matching. It can be anticipated that ongoing developments can further enhance the utility and defensibility of oil hydrocarbon fingerprinting.

UR - http://www.scopus.com/inward/record.url?scp=84882813626&partnerID=8YFLogxK

U2 - 10.1016/B978-012507751-4/50039-2

DO - 10.1016/B978-012507751-4/50039-2

M3 - Book chapter

SN - 9780125077514

SP - 409

EP - 464

BT - Environmental Forensics

PB - Elsevier Science Inc.

ER -

ID: 227438171